2017-18 batch batch_syllabus.pdf · 2017-18 batch . scheme of teaching and examination b.e. (iv...

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SCHEME OF TEACHING AND EXAMINATION B.E. (III SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING Sl. No. Subject Code Subject Credit Hours/Week Examination Marks Lecture Tutorial Practical CIE SEE Total 1 UMA301C Engineering Mathematics –III 04 4 0 0 50 50 100 2 UEI351C Analog Electronics 04 4 0 0 50 50 100 3 UEI352C Digital Electronics 03 3 0 0 50 50 100 4 UEI353C Sensors and Transducers 04 4 0 0 50 50 100 5 UEI354C Electrical Circuit Analysis 04 3 2 0 50 50 100 6 UEI355H Entrepreneurship Development 03 3 0 0 50 50 100 7 UEI356L Basic Circuits Laboratory 01 0 0 2 50 50 100 8 UEI357L Digital Electronics Laboratory 01 0 0 2 50 50 100 9 UEI358L Instrumentation Laboratory 01 0 0 2 50 50 100 10 UMA330M ** Bridge Course Mathematics-I - 4 - - 50 50 100 Total 25 21 02 06 450 450 900 ** Bridge Course Mathematics-I is a mandatory subject only for students admitted to 3 rd semester through lateral entry (Diploma) scheme. Clearing the subjects is compulsory. However the marks will not be considered for awarding grade/class. A PP/NP grade will be awarded *** The total lecture hours for students admitted to 3 rd Semester through lateral entry (Diploma) scheme is 25 hours, total CIE marks is 500, SEE marks is 500 and total marks is 1000 # All Students must register for one 1 Credit (8 weeks) NPTEL MOOC/SWAYAM (or equivalent online course) before the completion of B.E. program and need to produce authentic certificate. Prior information/permission to be obtained from the department authority 2017-18 Batch

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Page 1: 2017-18 Batch Batch_Syllabus.pdf · 2017-18 Batch . SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING Sl. No. Subject

SCHEME OF TEACHING AND EXAMINATION B.E. (III SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING

Sl. No.

Subject Code

Subject Credit Hours/Week Examination Marks Lecture Tutorial Practical CIE SEE Total

1 UMA301C Engineering Mathematics –III 04 4 0 0 50 50 100 2 UEI351C Analog Electronics 04 4 0 0 50 50 100 3 UEI352C Digital Electronics 03 3 0 0 50 50 100 4 UEI353C Sensors and Transducers 04 4 0 0 50 50 100 5 UEI354C Electrical Circuit Analysis 04 3 2 0 50 50 100 6 UEI355H Entrepreneurship Development 03 3 0 0 50 50 100 7 UEI356L Basic Circuits Laboratory 01 0 0 2 50 50 100 8 UEI357L Digital Electronics Laboratory 01 0 0 2 50 50 100 9 UEI358L Instrumentation Laboratory 01 0 0 2 50 50 100

10 UMA330M** Bridge Course Mathematics-I - 4 - - 50 50 100 Total 25 21 02 06 450 450 900

** Bridge Course Mathematics-I is a mandatory subject only for students admitted to 3rd semester through lateral entry (Diploma) scheme. Clearing the subjects is compulsory. However the marks will not be considered for awarding grade/class. A PP/NP grade will be awarded *** The total lecture hours for students admitted to 3rd Semester through lateral entry (Diploma) scheme is 25 hours, total CIE marks is 500, SEE marks is 500 and total marks is 1000 # All Students must register for one 1 Credit (8 weeks) NPTEL MOOC/SWAYAM (or equivalent online course) before the completion of B.E. program and need to produce authentic certificate. Prior information/permission to be obtained from the department authority

2017-18 Batch

Page 2: 2017-18 Batch Batch_Syllabus.pdf · 2017-18 Batch . SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING Sl. No. Subject

SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING

Sl. No.

Subject Code

Subject Credit Hours/Week Examination Marks Lecture Tutorial Pract

ical CIE SEE Total

1 UMA401C Engineering Mathematics–IV 04 4 0 0 50 50 100 2 UEI451C Digital Design using HDL 03 3 0 0 50 50 100 3 UEI452C Data Acquisition and Converter 04 4 0 0 50 50 100 4 UEI453C Signals and Systems 04 3 2 0 50 50 100 5 UEI454C Linear ICs and Applications 04 4 0 0 50 50 100 6 UEI455C Electronic Measurement and Instrumentation 04 4 0 0 50 50 100 7 UHS001N Fundamentals of Quantitative Aptitude and Soft Skills 01 1 0 0 50 50 100 8 UEI456L Linear ICs and Data Converters Laboratory 01 0 0 2 50 50 100 9 UEI457L Measurement Laboratory 01 0 0 2 50 50 100

10 UMA430M* Bridge Course Mathematics-II - 4 - - 50 50 100 Total 26 23 02 04 450 450 900

* Bridge Course Mathematics-II is a mandatory subject only for students admitted to 3rd semester through lateral entry (Diploma) scheme. Clearing the subjects is compulsory. However the marks will not be considered for awarding grade/class. A PP/NP grade will be awarded *** The total lecture hours for students admitted to 3rd Semester through lateral entry (Diploma) scheme is 27 hours, total CIE marks is 500, SEE marks is 500 and total marks is 1000

# All Students must register for one 1 Credit (8 weeks) NPTEL MOOC/SWAYAM (or equivalent online course) before the completion of B.E. program and need to produce authentic certificate. Prior information/permission to be obtained from the department authority

2017-18 Batch

Page 3: 2017-18 Batch Batch_Syllabus.pdf · 2017-18 Batch . SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING Sl. No. Subject

SCHEME OF TEACHING AND EXAMINATION B.E. (V SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING

Sl. No.

Subject Code

Subject Credit Hours/Week Examination Marks Lecture Tutorial Practical CIE SEE Total

1 UEI551C Microcontroller 04 4 0 0 50 50 100 2 UEI552C Digital Signal Processing 04 4 0 0 50 50 100 3 UEI553C Control Systems 04 4 0 0 50 50 100 4 UEI564C Medical Instrumentation 03 3 0 0 50 50 100 5 UEI555C C++ and Data Structures 04 4 0 0 50 50 100 6 UHS002N Advanced Quantitative Aptitude and Soft Skills 01 1 0 0 50 50 100 7 UEI57XE Dept Elective – I# 03 3 0 0 50 50 100 8 UEI556L DSP Laboratory 1.5 0 0 3 50 50 100 9 UEI557L Microcontroller Laboratory 1.5 0 0 3 50 50 100

Total 26 23 0 06 450 450 900

* Electives offered by the department and it is to be selected from the list of electives from Group - I

# All Students must register for one 1 Credit (8 weeks) NPTEL MOOC/SWAYAM (or equivalent online course) before the completion of B.E. program and need to produce authentic certificate. Prior information/permission to be obtained from the department authority

Group - I

Subject Code Title Subject Code Title UEI 571E Analytical Instrumentation UEI 572E Operation Research UEI 573E Automotive Electronics UEI 574E Industrial Electronics

2017-18 Batch

Page 4: 2017-18 Batch Batch_Syllabus.pdf · 2017-18 Batch . SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING Sl. No. Subject

SCHEME OF TEACHING AND EXAMINATION B.E. (VI SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING

Sl. No.

Subject Code

Subject Credit Hours/Week Examination Marks Lecture Tutorial Practical CIE SEE Total

1 UEI651C Advanced Control Systems 04 4 0 0 50 50 100 2 UEI652C Process Control 04 4 0 0 50 50 100 3 UEI653C Communication Systems 04 4 0 0 50 50 100 4 UEI654C Virtual Instrumentation 04 3 2 0 50 50 100 5 UEI67XE Dept Elective-II* 03 3 0 0 50 50 100 6 UEI68XE Dept Elective-III** 03 3 0 0 50 50 100 7 UHS003N Career Planning and Professional Skills 01 1 0 0 50 50 100 8 UEI656L System Simulation and Analysis Laboratory 01 0 0 2 50 50 100 9 UEI667L Basic Process Control Laboratory 01 0 0 2 50 50 100

Total 25 22 02 04 450 450 900

* Electives offered by the department and it is to be selected from the list of electives from Group - II ** Electives offered by the department and it is to be selected from the list of electives from Group - III # All Students must register for one 1 Credit (8 weeks) NPTEL MOOC/SWAYAM (or equivalent online course) before the completion of B.E. program and need to produce authentic certificate. Prior information/permission to be obtained from the department authority Group - II

Subject Code Title Subject Code Title UEI671E MEMS UEI672E Robotics UEI673E Low Power Microcontroller UEI674E Reliability Engineering

Group - III Subject Code Title Subject Code Title UEI681E Artificial Intelligence UEI682E Biomedical Signal Processing UEI683E Computer Communication Networks UEI684E Linear Algebra

2017-18 Batch

Page 5: 2017-18 Batch Batch_Syllabus.pdf · 2017-18 Batch . SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING Sl. No. Subject

SCHEME OF TEACHING AND EXAMINATION B.E. (VII SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING

Sl. No.

Subject Code

Subject Credit Hours/Week Examination Marks Lecture Tutorial Practical CIE SEE Total

1 UEI751C Process Automation 04 4 0 0 50 50 100 2 UEI752C Advanced Microprocessor 03 3 0 0 50 50 100 3 UEI753C Neural Network & Fuzzy Logic 04 4 0 0 50 50 100 4 UEI77XE Dept Elective- IV* 03 3 0 0 50 50 100 5 UEI78XE Dept Elective -V** 03 3 0 0 50 50 100 6 UEI765L Process Instrumentation and Control Laboratory 01 0 0 2 50 50 100 7 UEI756P Project Phase-I 04 0 0 4 50 50 100

Total 22 17 0 6 400 400 800

* Electives offered by the department and it is to be selected from the list of electives from Group - IV ** Electives offered by the department and it is to be selected from the list of electives from Group - V Project Phase-I evaluation is based on rubrics formulated by BoS Committee

# All Students must register for one 1 Credit (8 weeks) NPTEL MOOC/SWAYAM (or equivalent online course) before the completion of B.E. program and need to produce authentic certificate. Prior information/permission to be obtained from the department authority

Group - IV Subject Code Title Subject Code Title UEI771E Renewable Energy UEI772E Wireless Communication UEI773E Medical Imaging Techniques UEI774E Operating Systems

Group - V Subject Code Title Subject Code Title UEI781E Embedded systems design UEI782E VLSI Design UEI783E Process Modeling and Simulation UEI784E Digital Image Processing

2017-18 Batch

Page 6: 2017-18 Batch Batch_Syllabus.pdf · 2017-18 Batch . SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING Sl. No. Subject

SCHEME OF TEACHING AND EXAMINATION B.E. (VIII SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING

Sl. No.

Subject Code

Subject Credit Hours/Week Examination Marks Lecture Tutorial Practical CIE SEE Total

1 UEIXXXE Dept Elective- VI* 03 3 0 0 50 50 100 2 UEIXXXE Dept Elective- VII** 03 3 0 0 50 50 100 3 UEIXXXE Dept Elective-VIII*** 03 3 0 0 50 50 100 4 UEI852P# Project Work 16 0 0 16 50 50 100

Total 25 9 0 16 200 200 400 Project Work evaluation is based on rubrics formulated by BoS Committee. * Electives offered by the department and it is to be selected from the list of electives from Group - VI ** Electives offered by the department and it is to be selected from the list of electives from Group - VII *** Electives offered by the department and it is to be selected from the list of electives from Group - VIII # All Students must register for one 1 Credit (8 weeks) NPTEL MOOC/SWAYAM (or equivalent online course) before the completion of B.E. program and need to produce authentic certificate. Prior information/permission to be obtained from the department authority ## Evaluation components: Two seminars related to the project chosen (mid semester and end semester), mid-semester evaluation (work progress), end semester presentation, project demonstration, viva voce. Group - VI

Subject Code Title Subject Code Title UEI871E C# Programming and .Net UEI872E ARM Processor UEI873E Digital Control Systems UEI874E Optimization Techniques

Group - VII Subject Code Title Subject Code Title UEI881E DBMS UEI882E Aircraft Instrumentation UEI883E Advanced Industrial Automation UEI884E Pattern Recognition

Group - VIII Subject Code Title Subject Code Title UEI891E Lasers and Fiber Optics UEI892E Non Destructive Testing UEI893E Industrial Design of Electronic

Equipment UEI894E JAVA

2017-18 Batch

Page 7: 2017-18 Batch Batch_Syllabus.pdf · 2017-18 Batch . SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING Sl. No. Subject

UMA301C ENGINEERING MATHEMATICS-III 4 Credits (4-0-0)

Course Objectives:

1. To learn numerical solutions of first and second order ODE, numerical differentiation and integration.

2. To understand the concepts of a continuous and discrete integral transform in the form of Fourier and Z-transforms.

3. To understand the concepts of partial difference equation and linear algebra.

UNIT-I Numerical Analysis: Roots of Equations: Motivation, Non computer methods for determiningroots, roots of Equations and Engineering Practice, Mathematical background, goals and objectives: Bracketing Methods, Graphical Methods. The Bisection Method, The Newton – Raphson Method, Pitfalls of the Newton – Raphson Method: Multiple roots, Modified Newton – Raphson Method for multiple roots. Finite differences, Forward and Backward difference operators (No derivation on relation between operators). Newton-Gregory Forward and Backward interpolation formulae (without proof). Lagrange‘s and Newton‘s divided difference interpolation formulae (without proof). Numerical differentiation using Newton‘s Forward and Backward formulae. Numerical Integration: Trapezoidal rule, Simpson‘s one third, Simpson‘s three eighth rule and Weddle‘s rule (no derivation of any formulae). Numerical solutions of first order ODE- Euler‘s and Modified Euler‘s Method, Runge Kutta 4th order Method, Milne‘s Predictor and Corrector method (problems only).

13 Hrs. UNIT-II Fourier Series, Fourier Transforms, Z-Transforms: Periodic functions, Conditions for Fourier series expansions, Fourier series expansions of continuous functions and functions having infinite number of discontinuities, even and odd functions. Half-range series, Practical Harmonic Analysis. Infinite Fourier transforms and inverse Fourier transforms- simple properties, Complex Fourier transforms, Fourier sine and Fourier cosine transforms, Inverse Fourier sine and cosine transforms, Convolution Theorem. Z-Transforms-definition, standard forms, linearity property, damping rule, shifting rule- problems.

13 Hrs. UNIT-III Partial Differential Equations: Formation of partial differential equations by elimination of arbitrary constants and arbitrary functions, Solutionof equation of the type : Pp Qq R, Charpit‘s Method, Solution of PDE by the method of separation of variables. Derivation of one dimensional heat and wave equations. Numerical solution (finite difference) of one-dimensional heat and wave equations by explicit method, Laplace equation by using standard five point formula.

13 Hrs. UNIT-IV Linear Algebra: Rank of a matrix by elementary transformations, Consistency of system oflinear equations, Gauss-Seidel Method, Characteristic values and Characteristic Vectors of matrices (no theorems), Largest Eigen value and the corresponding Eigen Vector by Power Method. Calculus of Variations: Variation of a function and a functional, Extremal of a functional, Variational problems, Euler‘s equation, Standard variational problems including Geodesics, Minimal Surface of Revolution, Hanging Chain and Brachistochrone problems.

13 Hrs.

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Course Outcomes:

Ability to use mathematical knowledge to analyze and solve the engineering problems Ability to apply the knowledge effectively in physical problems Ability to demonstrate the knowledge in various engineering disciplines.

Text Books:

1. Steven C Chapra, Raymond P Canale, "Numerical Methods for Engineers". 2. Dr. B. S. Grewal, "Higher Engineering Mathematics", Khanna Publishers, New Delhi. 3. E. Kreyszig, "Advanced Engineering Mathematics", John Wiley & Sons. 4. H. K. Dass, "Higher Engineering Mathematics", S. Chand & Co.

Page 9: 2017-18 Batch Batch_Syllabus.pdf · 2017-18 Batch . SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING Sl. No. Subject

UEI351C: ANALOG ELECTRONICS 4 Credits (4-0-0)

Course Objectives:

1. To impart the knowledge of electronic devices for designing electronic circuits. 2. To practice the techniques of BJT and FET biasing and small signal analysis. 3. To apply the knowledge of feedback concept in designing amplifiers.

UNIT-I Diode application: Diode equivalent circuits, transition & diffusion capacitance, reverse recovery time, clippers, clampers. Transistor biasing: Operating point, fixed bias, emitter stabilized bias, DC bias with voltage feedback, miscellaneous bias configuration, design operations, bias stabilization.

13 Hrs. UNIT-II BJT small signal analysis with re transistor model: Common emitter fixed bias configuration, CE- emitter bias configuration, common base configuration and collector feedback configuration. Power amplifiers: Definition and amplifier types, series fed class-A amplifier, transformer coupled class-A amplifier, class-B operation, amplifier distortion.

13 Hrs. UNIT-III FET biasing: Fixed bias, self bias, voltage divider bias, depletion type MOSFETs, enhancement type MOSFETs. FET small signal analysis: FET small signal model, JFET fixed bias configuration, JFET self bias configuration, JFET voltage divider bias configuration, JFET source follower configuration, designing FET amplifier networks.

13 Hrs. UNIT-IV Feedback amplifiers: Feedback concepts, feedback connection types, feedback amplifiers. BJT frequency response: General frequency considerations, low frequency analysis, Miller effect capacitance. Other two terminal devices: Introduction, Schottky barrier diodes, Varactor diodes, Power diodes, Tunnel diodes, Photodiodes.

13 Hrs. Course Outcomes: Students will: CO1: Describe the working principles of Diode applications, BJT and FET circuits. CO2: Interpret a given electronic circuit and illustrate the working. CO3:Derive expressions for the particular specifications of various electronic circuit configurations. CO4: Apply the derived formulas to solve electronic circuit problems. CO5: Discuss the working principles of two terminal devices and feedback amplifiers. CO6: Evaluate the performance of electronic circuits.

Text Books: 1. Robert L. Boylestad, Nashelsky, "Electronic Devices and Circuit Theory," PHI, 10th Edition,

2009. 2. David A. Bell, "Electronic Devices and Circuits," PHI, 4th Edition, 2004

Reference Books: 1. Jacob Milman, Christos C. Halkias, “Integrated Electronics,” TMG, 1991 Edition. 2. A.P. Malvino, “Electronic Principles,” TMH, 1993. 3. Jacob Millman, Arvin Grabel, “Microelectronics,” McGraw Hill, 1996.

Page 10: 2017-18 Batch Batch_Syllabus.pdf · 2017-18 Batch . SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING Sl. No. Subject

UEI352C: DIGITAL ELECTRONICS 3 Credits (3-0-0)

Course Objectives:

1. To impart the concepts of combinational and sequential logic circuits. 2. To illustrate design of combinational and sequential logic circuits. 3. To develop an ability to analyze digital electronic circuits

UNIT-I Principles of Combinational Logic: Definition of combinational logic, canonical forms, generation of switching equations from truth tables, Karnaugh maps-3, 4 and 5 variables, incompletely specified functions (Don‘t Care terms), simplifying max term equations. Quine-McCluskey minimization technique- Quine-McCluskey using don‘t care terms, reduced prime implicant tables, map entered variables.

10 Hrs. UNIT-II Analysis and Design of Combinational Logic: General approach, decoders-BCD decoders, Encoders, digital multiplexers: Boolean function implementation. Adders and subtractors - cascading full adders, Look ahead carry adder, binary comparators. Introduction to Sequential Circuits: Basic bistable element, latches, SR latch, application of SR latch, a switch debouncer, the gated SR latch, the gated D latch

10 Hrs. UNIT-III Sequential Circuits: The master-slave flip-flops (pulse-triggered flip-flops): SR, JK. Edge triggered flip-flop: The positive edge-triggered D flip-flop, negative-edge triggered D flip-flop. Characteristic equations, registers, counters - binary ripple counters, synchronous binary counters, counters based on shift registers, design of a synchronous counters, design of a synchronous mod-6 counter using clocked JK , D, T and SR flip-flops.

10 Hrs. UNIT-IV Sequential Circuits: Introduction to state machines, Mealy and Moore Models, state machine notation, synchronous sequential circuit analysis. Sequential Design: Construction of state diagrams, design examples.

10 Hrs. Course Outcomes: Students will:

CO1: Describe combinational and sequential logic and interpret the truth tables, logic functions, Boolean expressions and circuits. CO2: Simplify Boolean expressions and represent in various forms. CO3: Illustrate working of standard combinational and sequential circuit and their applications. CO4: Design a Digital circuit for given specification. CO5: Analyze Combinational and sequential circuits. CO6: Develop a state transition diagram and implement.

Text Books: 1. John M Yarbrough, "Digital Logic Applications and Design", Thomson Learning, 2001. 2. Donald D. Givone, "Digital Principles and Design", Tata McGraw Hill, Edition 2002 (For

unit III) Reference Books:

1. Charles H. Roth Jr, "Fundamentals of Logic Design", Thomson Learning, 2004. 2. Mono and Kim, "Logic and Computer Design Fundamentals", Pearson, 2nd Edition, 2001. 3. Rajshekhar Allurkar, "Logic Design", CBS Publishers, 2008.

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UEI353C: SENSORS AND TRANSDUCERS 4 Credits (4-0-0)

Course Objectives:

1. To impart the fundamental concepts, working principles, and applications of sensors/ transducers.

2. To provide the knowledge on sensor selection. 3. To use sensor/transducer for a particular application.

UNIT-I Introduction to Sensor-Based Measurement Systems: General concepts and terminology, Sensor classification, General input-output configuration, Static characteristics of measurement systems, Dynamic characteristics, Other sensor characteristics, Materials for sensors, Introduction to microsensor technology. Resistive type: Potentiometers, Strain gages, Resistive temperature detectors (RTD), Thermistors.

13 Hrs. UNIT-II Resistive type: Magnetoresistors, Light-dependent resistors (LDR), Resistive hygrometers, Resistive gas sensors, Liquid conductivity sensors. Self-Generating Sensors: Thermoelectric sensors: Thermocouples, Piezoelectric sensors, Pyroelectric sensors. Photo voltaic sensors, Electrochemical sensors.

13 Hrs. UNIT-III Reactance Variation and Electromagnetic Type: Capacitive sensors, Inductive sensors, Electromagnetic sensors.

13 Hrs. UNIT-IV Digital and Intelligent Sensors: Position encoders, Resonant sensors, Intelligent sensors. Other sensing methods: Based on semiconductor junctions, Based on MOSFET transistors, Fiber optic sensors, Ultrasonic based sensors, Biosensors

13 Hrs. Course Outcomes: Students will:

CO1: Describe the principle of sensors/transducers. CO2: Distinguish different transduction principles. CO3: Interpret the characteristics of sensors/transducers. CO4: Differentiate various characteristics of sensors/transducers. CO5: Justify the use of a particular sensor for an application. CO6: Design a sensor based measurement system.

Text Books: 1. Ramon P. Areny, John G. Webster, "Sensors and Signal Conditioning", 2nd Edition, Wiley

India Private Ltd. Reference Books:

1. Ian R. Sinclair, "Sensors and Transducers", 3rd Edition, Newnes Publication. 2. D. Patranabis, "Sensors and Transducers", 2nd Edition, PHI. 3. Allan S. Morris, "Measurement and Instrumentation Principles", 3rd Edition, Butterworth &

Heinmann Publication. 4. John P. Bentley, "Principles of Measurement Systems", 3rd Edition, 2004, Pearson

Publication.

Page 12: 2017-18 Batch Batch_Syllabus.pdf · 2017-18 Batch . SCHEME OF TEACHING AND EXAMINATION B.E. (IV SEMESTER) DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING Sl. No. Subject

UEI354C: ELECTRICAL CIRCUIT ANALYSIS

4 Credits (3-2-0) Course Objectives:

1. To impart knowledge on basics of electrical circuits. 2. To practice different methods of circuit analysis. 3. To apply Laplace Transform for electrical circuit analysis.

UNIT-I The circuit concept and the most basic tools of circuit analysis (applied to DC and AC circuits): Voltage and current sources, Kirchhoff’s voltage and current laws, Series and parallel combinations of sources, Series and parallel combinations of elements, Voltage and current division, Source transformations, Delta-Y conversions, Sinusoidal steady state analysis, Nodal and mesh analysis.

10 Hrs. Tutorial: 06 Hrs.

UNIT-II Network theorems (applied to DC and AC circuits): Superposition theorem, Thevenin’s theorem, Norton’s theorem, Maximum power transfer theorem. Transient behaviour and initial conditions in networks: Initial and final conditions in elements, Geometrical interpretation of derivatives, A procedure for evaluating initial conditions.

10 Hrs. Tutorial: 06 Hrs.

UNIT-III Resonance: The resonance effect, Series resonance, Parallel resonance, Bandwidth and selectivity of resonant circuit, Q factor of resonant circuit. Circuit Analysis with Laplace transformations: Introduction of LT and ILT, S-domain impedance and admittance, The s-domain models for initially charged capacitor and initially fluxed inductor, Determination of the complete s-domain model for a given circuit, Application of various circuit analysis methods to s-domain circuit models, Application of LT methods to obtain the complete solutions for first-order and second order circuits.

10 Hrs. Tutorial: 06 Hrs.

UNIT-IV Network topology: Network and network graph, Incidence matrix, Properties of incidence matrix, Tree of network variables, Tie set and Tie set schedule, Cut set and Cut set schedule, Formulation and solution of network equations using Tie set schedule and Cut set schedule. Two port network parameters: Relationship of two-port variables, Short circuit admittance parameters, Open-circuit impedance parameters, Transmission parameters, hybrid parameters, Relationship between parameter sets.

10 Hrs. Tutorial: 06 Hrs.

Course Outcomes: Students will:

CO1: Define network fundamentals, topology, resonance, LT, ILT and network theorems. CO2: Derive and explain different network theorems. CO3: Use network reduction methods and theorems in circuits. CO4: Determine parameters of electrical circuits. CO5: Analyze electrical circuits.

CO6: Model electrical circuits. Text Books:

1. M.E. Van Valkenburg, "Network Analysis", PHI, 3rd Edition, 2002 2. William D. Stanley, "Network Analysis with Applications", Pearson Education, 4th

Edition, 2004.

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Reference Books: 1. Hayt, J. E. Kemmerly and S. M. Durbin, "Engineering Circuit Analysis", TMH, 6th Edition,

2006. 2. Roy Choudhary, "Networks & Systems", New Age International Publishers.

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UEI355H: ENTREPRENEURSHIP DEVELOPMENT 3 Credits (3-0-0)

Course Objectives: 1. To impart entrepreneurial awareness. 2. To give awareness about various supports of state/central Govt. agencies. 3. To develop and practice entrepreneurial skills to set up new enterprise.

UNIT-I Entrepreneur: Meaning of entrepreneur, Evolution of the concept, Functions of an entrepreneur, Characteristics of an entrepreneur, Competencies of an entrepreneur, Types of entrepreneur, Intrapreneur – an emerging class. Entrepreneurship: Evolution of entrepreneurship, Development of entrepreneurship, Stages in entrepreneurial process, Role of entrepreneurs in economic development, Entrepreneurship in India, Barriers of entrepreneurship. Women Entrepreneurship: Definition, Environment, Challenges in the path of women entrepreneurship, Strategies for the development of women entrepreneurs, Self-help groups.

10 Hrs. UNIT-II Small Scale Industries: Definition, Characteristics, Need and rationale, Objectives, Scope, Role of SSI in economic development, Advantages of SSI, Steps to start an SSI, Various government policy towards SSI, Different policies of SSI, Government support for SSI during 5 year plans, Impact of liberalization, privatization, globalization on SSI, Effect of WTO/GATT, Supporting agencies of government for SSI: Meaning, Nature of support, Types of help, Ancillary industry, Tiny industry (Definition Only).

10 Hrs. UNIT-III Institutional Support: TECKSOK, KIADB, KSSIDC, KSIMC, DIC Single window agency, SISI (MSME-DI), NSIC, SIDBI, KSFC, Institutions supporting women entrepreneurship in India.

10 Hrs. UNIT-IV Preparation of Project: Meaning of project, Project identification, Project selection, Project report, Need and significance of report, Contents, Formulation, Guidelines by planning commission of India for project report, Network analysis, Errors of project report, Project appraisal. Identification of Business Opportunities: Business opportunity in various sectors, Formalities for setting up of a small business enterprise (In brief with flow chart), Market feasibility study, Technical feasibility study, Financial feasibility study, Social feasibility study. The E–commerce: Benefits of selling on the web, Factors to be considered in launching, Myths of E-commerce, Approaches to E-commerce, Strategies for E-success.

10 Hrs. Course Outcomes:

Students will: CO1: Underline the meaning and importance of entrepreneurship. CO2: Review and interpret business opportunities. CO3: Distinguish various entrepreneurial traits. CO4: Differentiate entrepreneurship supporting agencies at state and national level. CO5: Prepare and evaluate business report. CO6: Propose a small scale enterprise.

Text Books: 1. Poornima M. Charantimath, “Entrepreneurship Development - Small Business

Enterprises”, Pearson Education, 2006. 2. Vasant Desai, “Dynamics of Entrepreneurial Development & Management”, Himalaya

Publishing House. 3. Thomas W. Zimmerer, Norman M. Scarborough, “Essentials of Entrepreneurship & Small

Business Management”, 4th Edition, Pearson Education. Reference Books:

1. Ramesh Burbere, “Management & Entrepreneurship”, Rohan Publishers. 2. Edward de Bono, “Six Thinking Hats”, Back Bay Books - Little, Brown and Company.

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UEI356L: BASIC CIRCUITS LABORATORY

1 Credit (0-0-2) Course Objectives:

1. To design, test, and analyze various electronic circuits based on diode, BJT, and JFET. 2. To understand the usage of transistors in amplifier circuits. 3. To verify network theorems using resistive networks.

List of Experiments:

1. Study of basic instruments. 2. Characteristic of Diode. 3. Characteristic of Transistor. 4. Characteristic of FET. 5. Rectifiers: Half, full, bridge, with and without filters. 6. Clipping circuits. 7. Clamping circuits. 8. Darlington Emitter follower. 9. Frequency response of RC coupled amplifier.

10. Verification of Thevenin’s & Norton’s theorem. 11. Verification of Maximum power transfer & Superposition theorem. 12. Frequency response of series and parallel resonance circuit.

Course Outcomes: Students will: CO1: Design and develop a circuit/system for the given objective. CO2: Conduct the experiment and demonstrate the theoretical concepts. CO3: Analyze and interpret the experimental results.

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UEI357L: DIGITAL ELECTRONICS LABORATORY

1 Credit (0-0-2) Course Objectives:

1. To experience the operation of various logic gates and digital circuits. 2. To design combinational and sequential logic circuits. 3. To give hands on experience of digital components and circuits.

List of Experiments: 1. Simplification, realization of Boolean expressions using logic gates/universal gates. 2. Realization of Half/Full adder and Half/Full Subtractors using logic gates. 3. Realization of Binary to Gray code conversion, BCD to Excess-3 and vice versa. 4. Realization of parallel adder/Subtractors, Code converter (BCD to Excess-3) using 7483 chip. 5. MUX/DEMUX – use of 74153, 74139 for arithmetic circuits and code converter. 6. Realization of One/Two bit comparator and study of 7485 magnitude comparator. 7. Use of: a) Decoder chip to drive LED display b) Priority encoder. 8. Truth table verification of Flip-Flops: (i) JK Master slave (ii) T type and (iii) D type. 9. Realization of 3 bit counters as a sequential circuit and MOD – N counter design (7476,

7490, 74192, 74193). 10. Shift register (74LS95).

Course Outcomes: Students will:

CO1: Design and develop a circuit/system for the given objective. CO2: Conduct the experiment and demonstrate the theoretical concepts. CO3: Analyze and interpret the experimental results.

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UEI358L: INSTRUMENTATION LABORATORY

1 Credit (0-0-2) Course Objectives:

1. To get hands on experience of sensors/transducers. 2. To analyze the sensor/transducer characteristics. 3. To promote the usage of various sensors and transducers in varieties of applications.

List of Experiments:

1. Transfer characteristics of Thermocouple. 2. Transfer characteristics of RTD. 3. Transfer characteristics of LVDT. 4. Transfer characteristics of Thermistor. 5. Transfer characteristics of LDR. 6. Transfer characteristics of Resistive displacement (linear & angular) transducer. 7. Transfer characteristics of AD590. 8. Relay switching. 9. Study of I/P and P/I converter.

10. Transfer characteristic of Level transmitter. 11. Calibration of pressure gauge. 12. Transfer characteristic of Load cell (Full bridge strain gauge arrangement). 13. Study of reluctance type Proximity switch.

Course Outcomes: Students will:

CO1: Design and develop a circuit/system for the given objective. CO2: Conduct the experiment and demonstrate the theoretical concepts. CO3: Analyze and interpret the experimental results.

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UMA001M: ADVANCED MATHEMATICS-I

(4-0-0) Course Objectives:

1. To learn to solve differential calculus and integrals. 2. To learn higher order differential equations.

UNIT-I Differential Calculus: Geometrical interpretation of differentiation. Determination of nth derivative of standard functions. Leibnitz‘s theorem (without proof) and problems. Polar curves and angle between polar curves. Pedal equation of polar curves. Taylor‘s series, Maclaurin‘s series for single variable. Partial derivatives, Euler‘s theorem. Total differentiation. Differentiation of composite and implicit functions. Jacobian‘s and their properties.

18 Hrs. UNIT-II Integral Calculus: Reduction formula for functions Sinnx, Cosnx, tan nx, Sinmx Cosmx. and evaluation of these integrals with standard limits-problems. Double and Triple integrals simple problems (with standard limits). Beta and Gamma functions, properties, relation between Beta and Gamma functions simple problems.

11Hrs. UNIT-III Higher Order Differential Equations: Differential equations of second and higher orders with constant coefficients. Method of undetermined coefficients, Variation of parameters and Cauchy‘s homogeneous linear equations.

11 Hrs. Course Outcomes:

Ability to use mathematical knowledge to analyze and solve the problems . Ability to apply the knowledge effectively in physical problems. Ability to demonstrate the knowledge in various engineering disciplines.

Text Books: 1. B. S. Grewal, “Elementary Mathematics”, Khanna Publishers, Delhi. 2. B. S. Grewal, “Engineering Mathematics”, Khanna Publishers. 3. B. S. Grewal, “Higher Engineering Mathematics”, Khanna Publishers.

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UMA401C: ENGINEERING MATHEMATICS –IV 4 Credits (4-0-0)

Course Objectives:

1. Learn to solve complex integrals and analytical functions. 2. Learn fitting of a curve, correlation, regression for a statistical data. 3. Learn the basic concepts of statistics, probability and random variables. 4. Learn the concepts of probability distributions. 5. Learn the concepts of stochastic process and Markov chain.

UNIT-I Complex Analysis: Analytic functions, Cauchy-Riemann equations in Cartesian and polarforms-consequences, construction of analytic function (Cartesian and polar forms). Definition of Conformal transformations: z2, ez, z�

�where z0, Bilinear transformations.Complex Integration: Line integral,

Cauchy‘s theorem-Corollaries, Cauchy‘s integral formula. Taylor andLaurent‘s series (statements only), Singularities, poles, calculations of residues, Residue theorem (without proof)-problems.

14 Hrs. UNIT-II Special Functions: Seriessolution of Bessel‘s differential equation, recurrence formulae,generating function, orthogonal property, Bessel‘s integral formula. Series solution of Legendre‘s differential equation recurrence formulae, generating function, orthogonal property, Rodrigue‘s formula.

14 Hrs. UNIT-III Statistics and Probability: Curve fitting by the method of least squares: y a bx, y abx, y a bx cx2.correlation and regression. Probability addition rule, conditional probability, multiplicationrule, Baye‘s rule. Discrete and continuous random variables-PDF-CDF, Binomial, Poisson and Normal distributions.

12 Hrs. UNIT-IV Sampling Distribution: Sampling, Sampling distribution, standard error, Null and alternativehypotheses, Type I error and Type II errors, testing of hypothesis for means, level of significance for means, Confidence limits for means, large and small samples, Student‘s t-distribution. Central limit theorem (without proof) Joint Probability Distribution and Markov Chains: Concept of joint probability , Joint distributions -discrete random variables, Continuous random variables, independent random variables, Markov chains, higher transition probabilities, stationary distributions of regular Markov chains and absorbing states.

12 Hrs. Course Outcomes:

Ability to use mathematical knowledge to analyze and solve the problems. Ability to apply the knowledge effectively in physical problems. Ability to demonstrate the knowledge in various engineering disciplines.

Text Books: 1. B.S.Grewal, “Higher Engineering Mathematics”, Khanna Publishers, New Delhi. 2. Seymour Lipschutz, “Theory Band Problems Of Probability” John Wiley & Sons. 3. H. K. Das, “Advanced Engineering Mathematics” S. Chand & Co. 4. E. Kreyszig, “Advanced Engineering Mathematics” John Wiley & Sons. 5. Roy. D. Yates and David J Goodman, “Probability And Stochastic Processes”, Wiley India

Pvt.Ltd, 2nd Edition 2012. 6. Dennis. G. Zill and Patrick D. Shanahan, “A First Course In Complex Analysis With

Applications” Jones and Bartlett Publishers, Inc 2nd Edition 2010.

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UEI451C: DIGITAL DESIGN USING HDL 3 Credits (3-0-0)

Course Objectives:

1. To understand the lexical conventions of HDL and model digital circuits at dataflow; structural and behavioural levels.

2. To interpret HDL constructs for logic synthesis. 3. To discriminate between manual and automated logic synthesis and their impact on design.

UNIT-I Introduction: Need for HDL, Structure of HDL module, operators, data types, simulation and synthesis of HDL, comparison of VHDL and Verilog. Dataflow Description: Structure of data flow description, data type vectors.

10 Hrs. UNIT-II Behavioural Description: Structure of HDL behavioural description, the VHDL variable assignment statements, sequential statements. Structural Description: Organization of structural description. Procedures, Tasks and Functions: Highlights of procedure and functions. procedure(VHDL) and tasks (Verilog), functions.

10 Hrs. UNIT-III Design of Networks for Arithmetic Operations: Design of serial adder with accumulator, state graphs for control networks, design of binary multiplier, multiplication of signed binary numbers, design of binary divider.

10 Hrs. UNIT-IV Digital Design with SM Chart: State machine charts, derivation of SM charts, Implementation of the dice game, VHDL models for memories and buses: Static RAM, A simplified 486-bus model, interfacing memory to a microprocessor bus.

10 Hrs. Course Outcomes:

Students will: CO1: Identify the need for HDL and describe the features of VHDL and Verilog. CO2: Illustrate constructs of VHDL and Verilog. CO3: Model digital hardware at different levels of abstraction. CO4: Use VHDL to describe arithmetic circuits. CO5: Create state diagrams and state machine charts for sequencing the operations in digital system. CO6: Develop HDL models for memories and Bus interfaces using VHDL.

Text Books: 1. Nazeih M. Botros, "HDL Programming", 2006 Edition, Dreamtech Press. 2. Charles H Roth Jr, "Digital System Design Using VHDL", Thomson Learning Inc, 2002.

Reference Books: 1. Samir Palnitkar, "Verilog HDL", Pearson Education. 2. Douglas Perry, "VHDL", Tata McGrawHill. 3. J.Bhaskar , "A Verilog HDL Primer", BS Publications. 4. Volnei A.Pedroni, "Circuit Design with VHDL", PHI.

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UEI452C: DATA ACQUISITION AND CONVERTER 4 Credits (4-0-0)

Course Objectives: 1. To impart the principles and role of analog and digital DAS. 2. To familiarize the specifications of data converter. 3. To use data converter techniques in applications.

UNIT-I Data Acquisition: Introduction, objectives of DAS, components of an analog DAS, components of digital DAS, modern digital DAS-transducer, amplifier, filter, non-linear analog functions, classification-single channel, multi-channel, computer based DAS, basic operation of data logger, Uses of DAS, Data Transmission and Telemetry: Introduction, method of data transmission, general telemetry system, types of telemetry system, Land line system- voltage telemetry, current telemetry, position telemetry, RF telemetry- FM telemetry system, pulse amplitude modulation telemetry, pulse code modulation telemetry.

13 Hrs. UNIT-II Data Converter: Introduction, generalized block diagram of ADCs and DACs, analog switches, analog multiplexers (high & low level), Sample and hold circuits and its specifications. Converter Specifications: General specifications- accuracy, error, linearity, common mode rejection, monotonicity, code elongation/code skipping, glitches, deglitchers, high frequency roll-off, resolution, conversion time, conversion speed, cross talk, quantization error, dynamic ADC specifications.

13 Hrs. UNIT-III Analog to Digital Converters: Classification, Successive approximation, Single slope, dual slope, Voltage to Frequency, Voltage to time(Pulse width type), Counter ramp type, Flash type ADCs, microprocessor compatible ADC: ADC 0816 IC, ICL 7109 monolithic ADCs, concepts of Delta sigma converters, selection criteria for ADC, typical application of ADC in:electronic weighing system, data readout, digital micrometer, function generator.

13 Hrs. UNIT-IV Digital to Analog Converters: Classification, Binary weighted resistor DACs, R-2R ladder network and inverter ladder DACs, monolithic DACs, multiplying DACs, discussions on DAC 0808, DAC 0800, AD 7542 monolithic DACs, typical application of DACs in:dot matrix display, frequency synthesizer, signal generator, programmable gain amplifier.

13 Hrs. Course Outcomes:

Students will: CO1: Define the principle of data acquisition and converters (DAC).

CO2: Identify and discuss about the characteristics of DAC components. CO3: Discuss various converter specifications. CO4: Categorize and interpret various DAC techniques. CO5: Illustrate the typical application of DAC.

CO6: Solve basic problems of data conversion. Text Books:

1. Hnatek, “Handbook of A/D and D/A Converters,” John Wiley Publications. 2. Sawhney. A. K., “Electrical and Electronic Measurement and Instrumentation,”

Dhanpat Rai &Sons Publications, 19th Edition, New Delhi 2011. 3. H.S. Khalsi, “Electronic Instrumentation,” 3rd Edition, Tata McGraw Hill, 2010.

Reference Books: 1. John D. Lenk, “Simplified Design of Data Converters,” EDN series (Butterworth

Heinemann) 1997. 2. Behzad Razavi, “Principles of Data Conversion System Design,” IEEE Press 1995. 3. Franco Maloberti, “Data Converters,” Springer Publication,2007.

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UEI453C: SIGNALS AND SYSTEMS 4 Credits (3-2-0)

Course Objectives: 1. To impart the fundamentals and mathematical descriptions of signals and systems. 2. To represent signals and systems in terms of both time and transform domains. 3. To develop mathematical skills to solve related problems.

UNIT-I Introduction: Definition of signal and system, signals and systems in various disciplines of engineering and science, classification of signals, elementary signals, basic operations on signals, systems viewed as interconnections of operations, basic system properties: stability, memory, causality, invertibility, time invariance and linearity.

10Hrs. Tutorial: 06 Hrs.

UNIT-II Time-domain analysis of discrete-time LTI systems: The convolution sum, convolution sum evaluation procedure, convolution properties, system interconnections. Time-domain analysis of continuous-time LTI systems: The convolution integral, convolution integral evaluation procedure, convolution properties, system interconnections.

10Hrs. Tutorial: 06 Hrs.

UNIT-III Fourier series representations: Complex sinusoids and frequency response of LTI systems, discrete-time periodic signals: Discrete-Time Fourier Series (DTFS), Properties of DTFS, continuous-time periodic signals: Fourier Series (FS). Fourier transforms representations: Discrete-time aperiodic signals: The Discrete-Time Fourier Transform (DTFT), properties of DTFT, continuous-time aperiodic signals: Fourier Transform (FT), properties of FT.

10Hrs. Tutorial: 06 Hrs.

UNIT-IV Time-domain representation of LTI systems: Linear constant-coefficient differential equation, linear constant-coefficient difference equation, solving differential and difference equations, characteristics of systems described by the above equations, block diagram representations of systems described by the above equations. The z-transform: The z-transform, properties of z-transform, the inverse z-transform, the transform function, the unilateral z-transform, solution of difference equations with initial conditions.

10Hrs. Tutorial: 06 Hrs.

Course Outcomes: Students will:

CO1: Define, identify, and classify signals and systems and also define convolution, ROC. CO2: Represent signals and systems both in time domain and transformed domain and explain operations on signals. CO3: Compute even and odd components as well as periodicity, convolution, FS, IFS, FT, IFT, ZT and IZT of signals. CO4: Analyze LTI systems in both time and frequency domain. CO5: Justify properties of systems and determine response of systems. CO6: Evaluate convolution sum and integral and solve difference and differential equations.

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Text Books: 1. Simon Haykin, Barry Van Veen, “Signals and Systems”, John Wiley & Sons (Asia)

Pvt. Ltd, 2nd Edition, 2004 Reference Books:

1. A.V. Oppenheim, A.S. Willsky, S.H. Nawab, “Signals and Systems”, 2nd Edition, 2006.

2. R.E. Ziemer, W.H. Tranter, D.R. Fannin, “Signals and Systems”, Pearson Education, 2nd Edition, 2002.

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UEI454C: LINEAR ICs AND APPLICATIONS

4 Credits (4-0-0) Course Objectives:

1. To conceptualize OPAMPs. 2. To design circuits using OPAMPs for various applications. 3. To develop signal conditioning circuits for sensors using linear ICs.

UNIT-I Introduction to Op-Amps: Block Diagram representation, Fundamentals, Parameters (definitions), Typical data sheet, Ideal Op-Amp. Direct coupled amplifiers: Inverting, Non-inverting, Difference amplifier - Voltage gain, Input and output resistance, Bandwidth. Instrumentation amplifiers. Capacitor coupled (AC) amplifiers: Basic voltage follower, High input impedance voltage follower, Non-inverting amplifiers, High input impedance non-inverting Amplifiers, Inverting amplifiers.

13 Hrs. UNIT-II Op-Amps as AC Amplifiers: Setting the upper cut-off frequency, Capacitor coupled difference amplifier, Use of a single polarity power supply. Op-Amps frequency response and compensation: Circuit stability, Frequency and phase response, Frequency compensating methods, Bandwidth, Slew rate effects, Zin Mod compensation, Circuit stability precautions. Active filters: Butterworth HPF and LPF- first, second order design, design examples. Precision rectifiers: half wave and full wave.

13 Hrs. UNIT-III Op-Amp applications: Clamping and clipping, Sample and hold amplifiers, Log and antilog amplifiers, Integrator and differentiator, monostable and astable multivibrator, Schmitt trigger, zero crossing detectors (ZCD). Phase locked loop: PSD, VCO, PLL, PLL applications.

13 Hrs. UNIT-IV Signal converters: I/V, V/I, V/F, F/V converters. Op-Amp in waveform generation: Square/triangular waveform generator, Phase shift oscillators, Wein bridge oscillators. Voltage regulators: IC 217/317 regulator. IC 555 timer: Basic circuit, Design of astable, monostable multivibrator and Schmitt trigger.

13 Hrs. Course Outcomes:

Students will: CO1: Describe the operation and list the specifications of OPAMPs, Timers and voltage regulators. CO2: Understand the circuits made of OPAMPs, Timers and voltage regulators. CO3: Apply the knowledge of OPAMP to develop electronic circuits. CO4: Interpret the data sheet of OPAMP ICs for an application. CO5: Choose a circuit consisting of linear ICs for specific applications. CO6: Design signal conditioning circuits using OPAMPs, Timers and voltage regulators.

Text Books: 1. Ramakant Gayakwad, “Operational Amplifiers”, 2005, PHI 2. David A. Bell, “Linear ICs and Applications”, 2007, PHI [Only for AC Amplifiers,

Frequency response/compensation and Precision rectifiers] Reference Books:

1. K.V. Ramanan, “Functional Electronics”, 2002, Tata McGraw Hill, 2002. 2. Sergio Franco, “Design with OPAMPS and Analog ICs”, 3rd Edition, 2005, Tata

McGraw Hill, 2005.

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UEI455C: ELECTRONIC MEASUREMENT AND INSTRUMENTATION 4 Credits (4-0-0)

Course Objectives: 1. To impart the knowledge of units, dimensions and measurement systems. 2. To categorize errors and characterize measurement systems. 3. To measure electrical parameters using various techniques and to get insight of various

measuring and analyzing systems. UNIT-I Units and dimensions: Introduction, unit, absolute unit, fundamental and derived units, dimensions, dimensions of mechanical quantities, dimension equations: dimensions in electrostatic systems, dimensions of electromagnetic systems, problems. Measurement of resistance: DC bridges: measurement of medium resistance: Wheatstone bridge, sensitivity of Wheatstone bridge, limitation of Wheatstone bridge, measurement of low resistances: Kelvin‘s double bridge, Measurement of earth resistance: fall of potential method, Problems on bridges.

13 Hrs. UNIT-II AC bridges: Sources and detectors, general equation for bridge balance. Measurement of self inductance: Maxwell‘s inductance bridge, Maxwell‘s inductance-Capacitance bridge, Hays bridge, Anderson bridge, Owens bridge. Measurement of capacitance: De Sauty‘s bridge, Schering bridge, Wein bridge, problems on bridges. Analog voltmeters and millimetres: Introduction, multirange voltmeter, extending voltmeter ranges, Loading, True RMS voltmeters.

13 Hrs. UNIT-III Digital Instruments: Digital Voltmeters– Introduction, DVMs based on V – T, V – F and Successive approximation principles, Resolution and sensitivity, General specifications, Digital Multi-meters, Digital frequency meters, Digital measurement of time. Oscilloscopes: Introduction, Basic principles, CRT features, Block diagram and working, Typical CRT connections, Dual beam and dual trace CROs, Measurement of phase angle and frequency.

13 Hrs. UNIT-IV DC potentiometer: Principle and standardization, calibration of DC ammeter, voltmeter, wattmeter. Signal Generators: Introduction, Fixed and variable AF oscillator, Standard signal generator, Laboratory type signal generator, AF sine and Square wave generator, Function generator, Square and Pulse generator, Sweep frequency generator, Frequency synthesizer. Display devices: Digital display system, classification of display, Display devices, LEDs, LCD displays.

13 Hrs. Course Outcomes:

Students will: CO1: Describe the use of Units and dimension. CO2: Analyze the DC bridges. CO3: Interpret the ac bridges, CRO, voltmeter, potentiometer. CO4: Examine the different bridges, voltmeter, CRO,signal generators. CO5: Assess different measuring equipment. CO6: To design the measuring equipment for real time application.

Text Books: 1. H. S. Kalsi, “Electronic Instrumentation”, TMH, 2004. 2. K. Sawhney, “Electronics and Electrical Measurements”, Dhanpat Rai &Sons, 9th

Edition Reference Books:

1. John P. Bentley, “Principles Of Measurement Systems”, 3rdEdition, Pearson Education, 2000.

2. Cooper D &A. D. Helfrick, “Modern Electronic Instrumentation & Measuring Techniques”, PHI/Pearson Education, 1998.

3. J. B. Gupta, “Electronic and Electrical Measurements and Instrumentation”, S. K. Kataria & Sons, Delhi.

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UEI456L: LINEAR ICs AND DATA CONVERTERS LABORATORY 1 Credit (0-0-2)

Course Objectives:

1. To implement basic circuits for the evaluation of OPAMP characteristics. 2. To realize the operation of OPAMP circuits for different applications. 3. To realize ADC and DAC.

List of Experiments: 1. Measurement of Op-Amp parameters: CMRR, bias current, offset voltage. 2. Design of Inverting & non inverting amplifier for desired gain. 3. Design of differential amplifier. 4. Design of Instrumentation amplifier using 741 IC. 5. Design of low-pass and high-pass filters (Butter worth I & II order). 6. Design of integrator and differentiator. 7. Design and implementation of Wein bridge oscillator. 8. Design and implementation of astable multivibrator using 555 timer. 9. Analog multiplexer and programmable gain amplifier-using analog multiplexer.

10. Sample and hold circuit. 11. 4 Bit Binary weighted and R-2R DAC (using discrete components). 12. 8 Bit DAC using IC DAC 0800. 13. 8 Bit ADC using IC ADC 0809.

Course Outcomes: Students will:

CO1: Design and develop a circuit/system for the given objective. CO2: Conduct the experiment and demonstrate the theoretical concepts. CO3: Analyze and interpret the experimental results.

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UEI457L: MEASUREMENT LABORATORY 1 Credit (0-0-2)

Course Objectives:

1. To obtain hands on experience of different parameter measuring techniques and instruments. 2. To calibrate some of measuring instruments. 3. To design and implement measuring systems.

List of Experiments:

1. Resistance measurement using Wheatstone bridge. 2. Low resistance measurement using Kelvin double bridge. 3. Capacitance measurement using Schering Capacitance Bridge. 4. Inductance measurement using Maxwell Bridge. 5. Calibration of DC voltmeter using DC potentiometer. 6. Calibration of DC ammeter using DC potentiometer. 7. Calibration of DC wattmeter using DC potentiometer. 8. Capacitance measurement using Anderson Bridge. 9. Measurement of frequency using Wein Bridge.

10. Voltmeter design using FET circuit. 11. Phase and frequency measurement using CRO. 12. Study of digital storage oscilloscope (DSO). 13. Study of energy meter.

Course Outcomes: Students will:

CO1: Design and develop a circuit/system for the given objective. CO2: Conduct the experiment and demonstrate the theoretical concepts. CO3: Analyze and interpret the experimental results.

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UMA002M: ADVANCED MATHEMATICS-II (4-0-0)

Course Objectives:

1. To gain the knowledge of solid geometry and vector differentiation. 2. To learn basics, properties and applications of Laplace transforms.

UNIT-I Solid Geometry: Distance formula (without proof), Division formula, direction cosines and direction ratios, planes and straightlines, angle between the planes

11 Hrs. UNIT-II Vector Differentiation:Velocity, Acceleration of a particle moving on a space curves. Vector point function. Directional derivative,Gradient, Curl and Divergence. Solenoidal and Irrotational vectors-simple problems.

10 Hrs. UNIT-III Laplace Transforms: Definition- Transform of elementary functions. Derivatives and integrals of transforms-problems. Periodicfunctions. Inverse transforms- Properties, Solutions of linear differential equations. Applications toEngineering problems.

19 Hrs.

Course Outcomes: Ability to use mathematical knowledge to analyze and solve the problems. Ability to apply the knowledge effectively in physical problems. Ability to demonstrate the knowledge in various engineering disciplines.

Text Books: 1. B. S. Grewal, “Elementary Mathematics”, Khanna Publishers, Delhi. 2. B. S. Grewal, “Engineering Mathematics”, Khanna Publishers. 3. B. S. Grewal, “Higher Engineering Mathematics”, Khanna Publishers.

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UEI551C: MICROCONTROLLER 4 Credits (4-0-0)

Course Objectives:

1. To familiarize with the architecture and instruction set of 8051 microcontroller. 2. To develop programming skills in assembly language. 3. To impart knowledge of interfacing peripherals using C.

UNIT-I 8051 Architecture: Features of 8051 microcontroller, Internal block diagram, Oscillator and clock, Accumulator, Data pointer, Program counter, Program status word, Stack pointer, Special function registers, Timer/ counter, I/O ports, Memory organization, Interrupts, Serial data communication. Addressing modes: Immediate and register addressing modes, Accessing memory using various addressing modes, Bit addresses for I/O and RAM.

13 Hrs. UNIT-II Instruction Set and Programming: Data transfer, Arithmetic, Logic and compare instructions, Control transfer instructions, Miscellaneous instructions of 8051 microcontroller and assembly programs.8051 Programming in C: Data types and time delay in 8051 C, I/O programming in C, Logical operations in C, Data conversion programs in C, Accessing code ROM space in 8051 C, Data serialization using 8051 C.

13 Hrs. UNIT-III 8051 Timer Programming in Assembly and C: Programming 8051 timers, Counter programming, Programming timer0 and timer1 in 8051 C. Interrupts Programming in Assembly and C: 8051 interrupts, Programming timer interrupts, Programming external hardware interrupts, Programming serial communication interrupt, Interrupt priority in 8051, Interrupt programming in 8051 C. 8051 Serial Port Programming in Assembly and C: Basics of serial communication, 8051 connection to RS232, 8051 serial port programming in assembly, Serial port programming in 8051 C.

13 Hrs. UNIT-IV Interfacing Peripherals with 8051 Microcontroller: Keyboard interfacing, LED interfacing, Seven segment LED interfacing, LCD interfacing, Parallel and serial ADC, DAC, Stepper motor interfacing, DC motor interfacing and PWM (programs for interfacing peripherals in assembly and C language).

13 Hrs. Course Outcomes:

Students will: CO1: Describe the technical details of 8051 microcontroller. CO2: Comprehend various hardware and software aspects of 8051 Microcontroller. CO3: Apply Hardware and software concepts to solve given problem. CO4: Classify various hardware and software components of 8051 Microcontroller. CO5: Develop assembly and C programs for the given logic and to interface various peripherals. CO6: Design 8051 hardware and software for a given application.

Text Books: 1. Kenneth J. Ayala, “8051 Microcontroller: Architecture, Programming and

Applications”, 3rdEdition, Thomson publication 2. V. Udayashankara, M. S. Mallikarjunaswamy, “8051 Microcontroller: Hardware,

Software and Applications”, McGraw Hill, New Delhi. 3. Muhammad Ali Mazidi, Janice Gillespie Mazidi, Rolin D McKinlay, “The 8051

Microcontroller and Embedded Systems: using Assembly & C”, 2ndEdition, Pearson, 2006.

Reference Book: 1. Dr. D.S. Suresh Kumar, “8051 Microcontroller”, 1stEdition, SK Publishers.

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UEI552C: DIGITAL SIGNAL PROCESSING

4 Credits (4-0-0) Course Objectives:

1. To analyze and process signals for different kinds of applications. 2. To define and practice computational efficient algorithms to compute DFT. 3. To develop filter design techniques.

UNIT-I Introduction: Digital signal processing and its benefits, sampling, aliasing, sampling theorem, frequency-domain representation of sampling, reconstruction of a band limited signal from its samples, correlation and its properties. The Discrete Fourier Transform (DFT): DFT, IDFT, DFT as a linear transformation, relationship of the DFT to other transforms, properties of DFT, circular convolution, use of DFT in linear filtering, overlap-add and overlap-save method.

13 Hrs. UNIT-II Efficient Computation of the DFT: Introduction, radix-2 FFT algorithm, Radix-2 inverse FFT, decimation-in-time FFT algorithm, decimation-in-frequency FFT algorithm, general computational considerations in FFT algorithms, chirp z-transform algorithm, Goertzel algorithm.

13 Hrs. UNIT-III Design of Infinite Impulse-response (IIR) Digital Filters: Characteristics of commonly used analog filters-Butterworth and Chebyshev filters, design of digital IIR filters from analog Butterworth and Chebyshev filters, impulse-invariant transformation method, and approximation derivative(backward difference, forward difference and bilinear transformation) method.

13 Hrs. UNIT-IV Design of Finite Impulse-Response (FIR) Digital Filters: Some common window functions, the Gibbs phenomenon, spectral leakage, design of FIR filters using windows and frequency sampling method. Realization of IIR and FIR systems: Structure for IIR systems: direct-form, cascade-form, parallel-form, and ladder. Structure for FIR and linear phase FIR systems: direct-form, cascade-form, introduction to DSP Processor.

13 Hrs. Course Outcomes: Students will:

CO1: Define sampling theorem, DFT, IDFT, FFT, correlation, window functions and comprehend analog and digital filters. CO2: Describe sampling, aliasing, and reconstruction of signals, fast algorithms to compute DFT, characteristics of filters and Gibb’s phenomenon. CO3: Compute circular and sectioned convolution, DFT, FFT and interpret architecture of DSP. CO4: Relate DFT to other transforms, compare DFT and FFT, distinguish structure of IIR and FIR systems and compare filters. CO5: Develop FFT algorithms, prove sampling theorem, DFT properties and realize IIR and FIR systems. CO6: Design IIR and FIR filters.

Text Books: 1. John G. Proakis, Dimitris G. Manolakis, “Digital Signal Processing”, 4thEdition,

Pearson Education, 2007. 2. Johnny R. Johnson, “Introduction to Digital Signal Processing”, PHI Pvt. Ltd., 2000.

Reference Books: 1. Alan V. Oppenheim, Ronald W. Schafer, and John R. Buck, “Discrete-Time Signal

Processing”, 2nd Edition, Pearson Education, 2008. 2. Ashok Ambardar, “Digital Signal Processing: A Modern Introduction”, Indian

Edition, Thomson Learning, 2007

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UEI553C: CONTROL SYSTEMS 4 Credits (4-0-0)

Course Objectives: 1. To impart basic concepts and mathematical modeling of control systems. 2. To acquire skills to simplify and modify system block diagrams. 3. To analyze control systems in time and frequency domains.

UNIT-I Introduction: Objective of control system, Importance of control system, Examples of control system, Types of control systems, Open-loop and closed loop control systems, Feed-back and its effects on system performance characteristics. Modeling of Physical Systems: Models of mechanical systems, Electrical systems, and Electromechanical systems, Analogous systems: Force-voltage analogy, Force-current analogy.

13 Hrs. UNIT-II Block Diagrams and Signal Flow Graphs: Transfer function; Block diagram reduction, Signal flow graphs, Mason’s gain formula, and Application of Mason’s gain formula to block diagrams. Time Response of Feedback Control Systems: Standard test signals, Type and order of system, Steady state error and error constants, Unit-step response of first and second order systems, Time domain specifications.

13 Hrs. UNIT-III Stability Analysis: The concept of stability, BIBO stability, Zero-input and asymptotic stability, Routh-Hurwitz (R-H) stability criterion, Application. Root-Locus Analysis: The concept of root locus and Complementary root locus, Basic properties of root locus, Construction of root locus.

13 Hrs. UNIT-IV Frequency Domain Analysis: The concept of frequency response, Polar plots, Procedure for constructing polar plots, Bode plots, procedure for constructing Bode plots, Gain margin, Phase margin, Frequency domain specifications, Nyquist stability criterion and examples.

13 Hrs. Course Outcomes:

Students will: CO1: Define control system, block diagram, signal flow graph, stability, root-locus, R-H criterion, Nyquist Criterion and describe other fundamental concepts of control systems. CO2: Interpret mathematical model of systems, responses of first and second order systems. CO3: Construct, rearrange and reduce block diagrams, SFG, and translate the mechanical systems to analogous electrical systems, and apply R-H criteria for the analysis of systems. CO4: Compare and illustrate open-loop and closed-loop systems, analyze the time- domain responses of systems and steady state error analysis. CO5: Determine time-domain responses of first and second systems for step and ramp input and stability of a closed-loop control system. CO6: Develop differential and transfer function models for mechanical, electrical and

electromechanical systems and construct and explain root locus, polar plots, Bode plots.

Text Books: 1. I. J. Nagarath and M Gopal, “Control Systems Engineering”, New Age International

(P) Ltd., 1999 Reference Books:

1. B. C. Kuo, “Automatic Control Systems”, 7th Edition, PHI, 2002. 2. R. S. Allurkar, “Control Systems”, EBPB, 2004

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UEI564C: MEDICAL INSTRUMENTATION 3 Credits (3-0-0)

Course Objectives: 1. To describe the working principle of biomedical equipment for various physiological

parameters. 2. To interpret different biomedical equipment and their applications. 3. To convey the importance of patient safety.

UNIT-I Fundamentals of Bio-signals: Sources, basic instrumentation system, general constraints in design of biomedical instrumentation systems, origin of bioelectric signals, types of bioelectric signals–ECG,EEG, EMG, EOG, ERG. Electrocardiograph: Characteristics of electrocardiogram (ECG), electrocardiograph block diagram, RL driven circuit and transformer coupled isolation ECG preamplifier circuit, ECG lead system and multi-channel ECG machine.

13 Hrs. UNIT-II Electroencephalograph: Electroencephalograph block diagram, 10-20 electrode systems and unipolar, bipolar and average electrode configurations, computerized analysis of EEG. Patient Monitoring System: Bedside patient monitoring system. Measurement of Heart Rate: Average heart rate meter, instantaneous heart rate meter (cardio tachometer). Measurement of Pulse Rate: Reflectance and transmittance photoelectric method, processing of plythysmographic signals.

13 Hrs. UNIT-III Blood Pressure Measurement: Direct and indirect method, Korotkoff’s method, rheographic method, ultrasonic Doppler shift method. Blood Flow Meters: Ultrasonic blood flow meters: continuous wave flow meter, Doppler imaging flow meter, NMR blood flow meters. Measurement of Respiration Rate: mechanics of respiration, thermistor method, impedance pnuemography, CO2 method, apnoea detectors. Ventilators: Artificial ventilation, positive and negative pressure ventilators.

13 Hrs. UNIT-IV Cardiac Pacemakers: Need for cardiac pacemaker, implantable pacemaker, programmable pacemaker, rate responsive pacemakers. Defibrillators: AC and DC defibrillators. Pulmonary Function Analyzer: Pulmonary function measurement, measurement of flow-volume by nitrogen washout technique, pulmonary function analyzer block diagram. Patient Safety: Electric shock hazards, precautions to minimize electric shock hazards, safety codes for electro medical equipments.

13 Hrs. Course Outcomes:

Students will: CO1: Define various principles of biomedical instruments. CO2: Discuss about the characteristics of various physiological signals. CO3: Describe techniques employed in measurement of vital physiological parameters. CO4: Categorize and interpret various medical instruments. CO5: List various hazards and safety measures in biomedical instruments. CO6: Apply the theory of mechanics for measurement of specific biomedical parameter.

Text Books: 1. R. S. Khandpur, “Hand book of Biomedical Instrumentation”, 2nd Edition, TMH,

2012. 2. J. G. Webster, “Medical Instrumentation, Application & Design”, 3rdEdition, John

Wiley, 1998. Reference Books:

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1. John. S. Wilson, “Sensor Technology Handbook”, New Elsevier publication,2004. 2. Lesely Cromwell, “Principles of Applied Biomedical Instrumentation”, John Wiley,

2004.

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UEI555C: C++ & DATA STRUCTURES 4 Credits (4-0-0)

Course Objectives:

1. To convey the concept of OOPs and the distinction between OOPs and procedural languages. 2. To develop programs using object oriented concepts. 3. To impart the concepts of data structures and implement programs using C++.

UNIT-I Introduction: Object oriented programming, characteristics of object orient languages, C++ and C. C++ Programming Basics: Basic programming construction, Cin and Cout statements, pre-processor directives, comments, integer variables, character variables, floating point types, type Bool, the setw manipulator, type conversion, arithmetic operators. Loops and Decisions: Relational operators, for-loop, while loop, do-while loop, if statement, if-else statement, else-if statement, switch statement, conditional operator, logical operators, precedence summary. Structures: A simple structure, defining a structure, defining structure variables, accessing structure members, other structure features, enumerated data type.

13 Hrs. UNIT-II Functions: Simple functions, passing arguments to functions, returning values from functions, overloaded functions. Objects and Classes: A simple class, C++ objects as physical objects, C++ objects as data types, constructors, destructors, objects as function arguments, the defaults copy constructor, returning objects from functions.

13 Hrs. UNIT-III Operator Overloading: Overloading unary operators, overloading binary operators, data conversions. Inheritance: Derived class and base class, derived class constructors, overriding member functions, class hierarchies, public and private inheritance, levels of inheritance, multiple inheritances.

13 Hrs. UNIT-IV Data Structures: Linear Lists: Data objects and structures, linear List data structures, array representation, Arrays and Matrices: Arrays, matrices, special Matrices Stacks: Definition and application, The abstract data type Queues: Definition and application, The abstract data type, Array representation. Binary and other trees: Trees, binary Trees, properties of binary trees. Priority Queues: Definition and application, the abstract data type, linear lists, heaps.

13 Hrs. Course Outcomes:

Students will: CO1: Explain the object oriented concepts. CO2: Discuss modular concepts. CO3: Demonstrate the concept of class and objects. CO4: Analyze the concept of reusability. CO5: Illustrate the advance features of C++ and data structures. CO6: Design the real time problems using object oriented concepts and data structures.

Text Books: 1. Robert Lafore, “Object Oriented Programming in Turbo C++”, Galgotia Publishing. 2. E.Balaguruswamy, “Object Oriented Programming with C++”, Tata McGraw Hill. 3. Sartaj Sahni, “Data Structures, Algorithms and Applications in C++”, Tata McGraw

Hill. Reference Books:

1. Herbert Schildt, “C++ The Complete Reference”, Tata McGraw Hill. 2. D.S. Malik, “Data Structures using C++”, Thomson, 2003.

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UEI571E: ANALYTICAL INSTRUMENTATION 3 Credits (3-0-0)

Course Objectives:

1. To describe modern analytical instruments for analysis of samples. 2. To highlight the characteristics of various instrumental methods of analysis. 3. To impart the usage of analytical instruments.

UNIT-I Introduction: Analytical methods, Electromagnetic Spectrum: Properties of electromagnetic radiation and interaction with matter. Molecular Spectroscopy: Measurement of transmittance and absorbance, Beer Lambert's law. UV-Visible Absorption Spectrometry: Radiation sources, detectors, wavelength selectors, single and double beam absorption instruments, application for qualitative and quantitative analysis.

10 Hrs. UNIT-II IR Absorption Spectrometry: Basic components of IR instruments, Non-dispersive spectrometers. Mass Spectroscopy: Features of mass spectroscopy, components of spectrometers: ion sources, sample inlet systems, mass analyzers-magnetic (sector) analyzer, quadrupole analyzer and time of flight (TOF) analyzer, applications.

10 Hrs. UNIT-III Atomic Spectroscopy: Principles of AAS, AES and AFS, sample atomization techniques, atomic absorption instrumentation, applications. X-ray Techniques: Introduction, principles, sources, detectors, instrumentation, X-ray absorption method - Absorptiometer, X-ray fluorescence method- Energy dispersive type, X-ray diffraction-powder diffraction method and applications.

10 Hrs. UNIT-IV Chromatography: Classification, Gas chromatography: Principles, GLC instrumentation, Liquid chromatography: Scope and HPLC instrumentation, applications. NMR Spectroscopy: Principles of NMR spectroscopy, Different types of NMR instruments: FT – NMR, Carbon-13 NMR, application for quantitative analysis.

10 Hrs. Course Outcomes:

Students will: CO1: Define various spectroscopic principles. CO2:Identify components and analytical methods for qualitative and quantitative analysis. CO3:Describe techniques employed for chemical analysis using UV, visible and other EM sources. CO4: List the applications and usage of analytical instruments. CO5: Categorize various instrumental methods of analysis. CO6: Derive various laws governing the principles of analytical instruments.

Text Books: 1. Douglas A., Skoog, James Holler, Stanley R. Crounch, “Instrumental Analysis,”

2007, Cengage Learning Publication. 2. Willard, Merritt, Dean, Settle, “Instrumental Methods of Analysis,” 7thEdition, CBS

Publication,1986. Reference Book:

1. R.S. Khandpur, “Hand Book of Analytical Instrumentation,” TMH, 1989.

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UEI572E: OPERATION RESEARCH 3 Credits (3-0-0)

Course Objectives:

1. To convey fundamentals of operation research. 2. To solve programming problems. 3. To solve games theory, graphical method and dominance rule.

UNIT-I Introduction: Linear programming, definition, scope of operations research (O.R) approach and limitations of OR models, characteristics and phases of OR, mathematical formulation of L.P. problems, graphical solution methods. Linear Programming Problems: The simplex method - slack, surplus and artificial variables, concept of duality, two phase method, dual simplex method.

10 Hrs. UNIT-II Transportation Problem: Formulation of transportation model, basic feasible solution using different methods, optimality methods, unbalanced transportation problem, degeneracy in transportation problems, applications of transportation problems. Assignment Problem: Formulation, unbalanced assignment problem, traveling salesman problem.

10 Hrs. UNIT-III Sequencing: Johnson’s algorithm, n - jobs to 2 machines, n jobs 3machines, n jobs m machines without passing sequence. 2 jobs n machines with passing, graphical solutions priority rules. PERT-CPM Techniques: Network construction, determining critical path, floats, scheduling by network, project duration, variance under probabilistic models, prediction of date of completion.

10 Hrs. UNIT-IV Game Theory: Formulation of games, two person-zero sum game, games with and without saddle point, graphical solution (2 x n, m x 2 game), dominance property. Integer Programming: Gommory’s technique, branch and bound algorithm for integer programming problems, zero one algorithm.

10 Hrs. Course Outcomes:

Students will: CO1: Formulate and solve problem using graphical/simplex/big M method. CO2: Solve transportation and assignment problem. CO3: Solve sequencing problems. CO4: Use PERT-CPM techniques. CO5: Solve game theory problems. CO6: Solve integer programming problems.

Text Books: 1. Taha H. A., “Operations Research and Introduction”, Pearson, 2012. 2. S. D. Sharma, “Operations Research: Theory and Applications”, 4th Edition,

Kedarnath Ramnath & Co., 2009. Reference Books:

1. A.M. Natarajan, P. Balasubramani, A Tamilaravari,“Operation Research”, Pearson, 2005.

2. Hiller and Liberman, “Introduction to Operation Research”, MGH, 5th Edition, 2001. 3. Phillips & Solberg, Ravindran, “Operations Research: Principles and Practice”, Wiley

India Ltd., 2nd Edition, 2007. 4. Prem Kumar Gupta, D.S. Hira, “Operations Research”, S. Chand Publication, New

Delhi, 2007.

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UEI573E: AUTOMOTIVE ELECTRONICS 3 Credits (3-0-0)

Course Objectives:

1. To impart electrical and electronic system used in automotive vehicles. 2. To convey the basic concepts of sensors and actuators for automotive application. 3. To describe the digital engine controls and safety issues in vehicles.

UNIT-I Starting System: Condition at starting, Behaviour of starter during starting and its characteristics, Principle and construction of starter motor, Working of different starter drive units, Care and maintenance of starter motor, Starter switches, Three point starter-basic constructions and working principle. Generator: Main construction features, Armature winding, Commutator, Basic principle of a D.C. generator, Slip-ring commutation, Operating characteristic and application of D.C. generators, Armature reaction, Total loss in D.C. generator, Working principle of D.C. motor, Types of D.C. motor and it’s characteristics, Speed control of D.C motor.

10 Hrs. UNIT-II Lighting System &Accessories: Insulated & earth return systems, Positive and negative earth systems, Details of head light and side light, Headlight dazzling and preventive methods, Electrical fuel-pump, Speedometer, Fuel, oil and temperature gauges, Horn, Wiper system, Trafficator. Automotive Electronics: Current trends in modern automobiles, Open and close loop systems, Components for electronic engine management, Electronic management of chassis system, Vehicle motion control. Sensors and Actuators for Automobiles: Basic sensor arrangement, Types of sensors such as-Oxygen sensors, Crank angle position sensors-Fuel metering/vehicle speed sensor and detonation sensor-Altitude sensor, Flow sensor, Throttle position sensors.

10 Hrs. UNIT-III Electronic Fuel Injection and Ignition Systems: Introduction, Feedback carburettor systems, Throttle body injection and multi port or point fuel injection, Fuel injection systems, Injection system controls, Advantages of electronic ignition systems, Types of solid-state ignition systems and their principle of operation, Contactless electronic ignition system, Electronic spark timing control. Electronic Dashboard Instruments: Onboard diagnosis system, Security and warning system.

10 Hrs. UNIT-IV Digital Engine Control System: Open loop and closed loop control systems, Engine cranking and warm up control, Acceleration enrichment, Deceleration leaning and idle speed control, Distributor less ignition, Integrated engine control systems, exhaust emission control engineering. Chassis and Safety Systems: Traction control system, Cruise control system, Electronic control of automatic transmission, Antilock braking system, Electronic suspension system, Working of airbag and role of MEMS in airbag systems, Centralized door locking system, Climate control of cars.

10 Hrs. Course Outcomes:

Students will: CO1: Highlight the role, need, and importance of electronic systems in vehicles. CO2: List various electrical and electronic systems related to automotive vehicles. CO3: Describe electronic instrumentation in modern vehicles. CO4: Use sensors and actuators in generators, lighting system and accessories, fuel injection and ignition systems. CO5: Apply knowledge to design electronic system for a specific purpose in an automotive vehicle. CO6: Develop skills of implementing sensor based system for vehicles.

Text Books: 1. Judge A.W," Modern Electrical Equipment of Automobiles", Chapman & Hall,

London, 1992.

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2. Young A. P, Griffiths L, “Automobile Electrical Equipment”, ELBS & New Press, 1999.

Reference Books: 1. Tom Denton, “Automobile Electrical and Electronics Systems”, Edward Arnold

Publishers, 2000. 2. William B. Ribbens, “Understanding Automotive Electronics”, 5thEdition, Newnes

Publishing, 2000. 3. Barry Hollembeak, “Automotive Electricity, Electronics &Computer Controls”,

Delmar Publishers, 2001.

4. Ronald. K. Jurgon, “Automotive Electronics Handbook”, McGraw-Hill, 1999.

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UEI574E: INDUSTRIAL ELECTRONICS 3 Credits (3-0-0)

Course Objectives:

1. To impart the principles, characteristics, and applications of power semiconductor devices. 2. To describe converters and inverters. 3. To impart the usage of power semiconductor devices.

UNIT-I Introduction: Applications of power electronics, power semiconductor devices, control characteristics, types of power electronics circuits, peripheral effects. Power Transistor: Power BJTs, switching characteristics, switching limits, base derive control, power MOSFETs, switching characteristics, gate drive. IGBTs di/dt and dv/dt limitations.

10 Hrs. UNIT-II Thyristors:Introduction, characteristics, two transistor model,turn-on and turn-off, the di / dt and dv/dt protection, thyristor types, series and parallel operation of thyristors. Commutation Techniques: Natural and forced commutation, self commutation, impulse commutation.

10 Hrs. UNIT-III DC Choppers: Introduction, principles of step down and step up choppers, step down chopper with RL loads, performance parameters, chopper classification. Controlled Rectifiers: Introduction, principles of phase controlled converter operation, single phase - semi converters, full converters, dual converters.

10 Hrs. UNIT-IV AC Voltage Controllers: Introduction, principles of on and off control, principles of phase control, single phase bi-directional controllers with resistive loads and inductive loads, numerical problems. Inverters: Introduction, principles of operation, performanceparameters, single phasebridge inverter.

10 Hrs. Course Outcomes:

Students will: CO1: Define and describe power semiconductor devices. CO2: Describe and analyze the working of DC choppers. CO3: Describe and analyze the working of converters. CO4: Describe and analyze the working AC voltage controllers. CO5: Describe and analyze the working of inverters. CO6: Get motivated to take up industrial projects.

Text Books: 1. M. H. Rashid, “Power Electronics”, 2nd Edition, PHI / Pearson Publisher 2004.

Reference Books: 1. G. K. Dubey S. R. Doradla, A. Joshi, R.M.K. Sinha, “ThyristorizedPower

Controllers”, New age International Pvt. Ltd., Reprint 1999. 2. Cynil W. Lander, “Power Electronics”, 3rd Edition, Mc Graw Hill, 2003. 3. M. D. Singh, Kanchandani K.B., “Power Electronics”, TMH publisher, 2ndEdition,

2007.

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UEI556L: DSP LABORATORY 1.5 Credit (0-0-3)

Course Objectives:

1. To develop MATLAB programs for digital signal processing applications. 2. To develop C programs for DSK.

List of Experiments:

1. Illustrate aliasing effect in the time-domain and frequency domain. 2. Determine the linear convolution and correlation of the given two sequences. 3. Determine the linear convolution of the given two sequences using FFT. 4. Determine the spectrum of the given sequence using FFT. 5. Realize IIR transfer functions in cascade and parallel form. 6. Realize FIR transfer functions in cascade form. 7. Design IIR filter using bilinear transformation method with

a. Butterworth characteristic b. Chebshev type I characteristic c. Chebshev type II characteristic

8. Design IIR filter using impulse invariance method with a. Butterworth characteristic b. Chebshev type I characteristic c. Chebshev type II characteristic

9. Design FIR filter using windowing method. 10. Design FIR filter using frequency-sampling method. 11. Study of DSP Starter Kits (DSK). 12. Implement simple DSP functions using DSKs.

Note: Implement the first ten programs using MATLAB software.

Course Outcomes:

Students will: CO1: Deduce the logic and write the program for the given problem statement. CO2: Execute the program and demonstrate the concept. CO3: Analyze and interpret the results.

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UEI557L: MICROCONTROLLER LABORATORY 1.5 Credit (0-0-3)

Course Objectives:

1. To develop 8051 assembly language programs. 2. To interface various peripheral devices to 8051 microcontroller using C programs.

List of Experiments: I. Software Programming:

1. Data Transfer instructions: Block move, Exchange, Sorting, Finding largest element in an array.

2. Arithmetic instructions: Addition, subtraction, multiplication and division. 3. Counters: Binary / BCD /Hexadecimal (up / down). 4. Boolean & Logical instructions: To check whether 0th bit and 5th bit of data is 0 or 1. If the bit

is 0 then set the bit (Bit manipulations). 5. Conditional CALL and RETURN: Multiplication of every element of an array with constant. 6. Code conversion: BCD to ASCII; ASCII to Decimal; Decimal to ASCII. 7. Generate a square wave using timer to generate delay.

II. Interfacing Programs:

8. Generate different waveforms: Sine, square, triangular, ramp using DAC interface to 8051. 9. Stepper motor control interface to 8051. 10. DC motor control interface to 8051.

Elevator interface to 8051.

Course Outcomes: Students will:

CO1: Design and develop a system/write program for the given objective. CO2: Conduct the experiment/ execute the program and -demonstrate the theoretical concepts. CO3: Analyze and interpret the results.

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UEI651C: ADVANCED CONTROL SYSTEMS 4 Credits (4-0-0)

Course Objectives:

1. To impart the concept of compensation techniques in control system. 2. To obtain a state space model of a system. 3. To design and analyze a system in state space.

UNIT-I Design of Feedback Control Systems: Concepts of design and compensation, cascade compensation networks, phase-lead and phase-lag control design approaches using both root locus plots and Bode diagrams.

13 Hrs. UNIT-II Control System Analysis in State-space: State variable representation, state variables of a dynamic system, the state differential equation, block diagram and signal-flow graph state models, conversion of state equations and transfer functions, conversion of transfer functions to canonical state variable models, the time response and the state transition matrix, properties of state transition matrix, solving state equations via Laplace transform and directly in time domain.

13 Hrs. UNIT-III Control System Design in State-space: Concepts of controllability and observability, methods of testing controllability and observability, pole-placement design using feedback, stability improvement by state feedback, necessary condition for arbitrary pole placement, design of state observers, state feedback with integral control.

13 Hrs. UNIT-IV Nonlinear System Analysis: Some common nonlinear system behaviours, common nonlinearities in control systems, describing function fundamentals, describing function of common nonlinearities, stability analysis by the describing function method, concepts of phase plane analysis, construction of phase portraits, system analysis on the phase plane, Lyapunov stability.

13 Hrs. Course Outcomes:

Students will: CO1: Define compensation, state space, state variables, controllability, observability, common nonlinearities etc. CO2:Describe the concept of compensation, state space, controllability, observability, nonlinearity and describing function, Phase plane analysis, Lyapunov stability . CO3:Realize basic compensators. CO4:Test linear system for controllability and observability. CO5: Determine describing function common nonlinearities and system analysis on the phase plane. CO6: Analyse system on the phase plane.

Text Books:

1. M.Gopal, “Control Systems”, 3rd Edition, Tata McGraw Hill, 2011. 2. Katsuhiko Ogata, “Modern Control Engineering”, 4th Edition. Pearson Education,

2002. Reference Books:

1. Richard C. Dorf and Robert H, Bishop, “Modern Control Systems”, Addison Wesley Longman Inc., 1999.

2. M.Gopal, “Digital Control and State Variable Methods”, 3rd Edition, Tata McGraw Hill,2000.

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UEI652C: PROCESS CONTROL 4 Credits (4-0-0)

Course Objectives:

1. To impart the fundamentals of process control. 2. To design process controllers. 3. To get acquainted with various P&ID symbols and diagrams.

UNIT-I Introduction to Process Control: Introduction, control systems, process control block diagram, control system evaluation. Final Control: Introduction, final control operation, signal conversions, actuators, control elements.

13 Hrs. UNIT-II Controller Principles: Introduction, process characteristics, control system parameters, discontinuous controller modes, continuous controller modes, composite control modes. Analog Controllers: Introduction, general features, electronic controllers, pneumatic controllers.

13 Hrs. UNIT-III Computer Based Control: Introduction, digital applications, computer based controller, other computer applications, control system networks. Distributed Digital Control System: Advantages of digital computer control, process control requirements of computers.

13 Hrs. UNIT-IV Control Loop Characteristics: Introduction, control system configuration, multivariable control systems, control system quality, stability, and process loop tuning. P & ID Symbols and Diagrams: Flow sheet symbols, inter logic symbols, graphic symbols.

13 Hrs. Course Outcomes:

Students will: CO1: Define Process control system, block diagram, analog controller, digital controller. CO2: Interpret proportional ,integral ,derivative control, Analog controller, digital controller, tuning criteria. CO3: Construct analog controller, digital controller. CO4: Illustrate process system for control application. CO5: Predict the process system for real time application. CO6: Design the process system for real time application.

Text Books: 1. C. D. Johnson, “Processes Control Instrumentation”, 8thEdition, PHI. 2. M. Chidambaram, “Computer Control of Process”, Narosa Publication.

Reference Books: 1. S. K. Singh, “Computer Aided Process Control”, Prentice Hall of India. 2. B G Liptak, “Instrument Engineers Handbook”,(Vol. 1 & 2), Chilton publication.

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UEI653C: COMMUNICATION SYSTEMS 4 Credits (4-0-0)

Course Objectives:

1. To impart the basic concepts of modulation and demodulation of analog and digital signals. 2. To categorize the modulation and demodulation techniques of analog and digital signals. 3. To convey the concept of noise in communication systems.

UNIT-I Amplitude modulation: Time-domain description, Frequency domain description, Generation of AM waves, Detection of AM waves, AM/DSB, Time-domain description, Frequency domain description, Generation of DSBSC waves, Coherent detection of DSBSC modulated waves. Costas loop, Quadrature carrier multiplexing, AM-SSB/SC generation, Frequency-domain description, Frequency discrimination method for generation an SSB Modulated wave, Time domain description, Phase discrimination method for generating an SSB modulated wave, Demodulation of SSB waves, Comparison of amplitude modulation techniques, Frequency translation, FDM.

13 Hrs. UNIT-II Angle modulation: Basic concepts, Frequency modulation, Spectrum analysis of sinusoidal FM wave, NBFM, WBFM, Constant average power, Transmission bandwidth of FM waves, Generation of FM waves, Direct FM, demodulation of FM waves, Frequency discriminator, ZCD. Noise in analog modulation systems: Signal-to-noise ratios, AM receiver model, Signal-to -noise ratios for coherent reception, DSBSC receiver, SSB receiver, noise in AM receivers using envelope detection, threshold effect, FM receiver model, noise in FM reception.

13 Hrs. UNIT-III Pulse modulation: Sampling theorem for low-pass and band-pass signal, Statement and proof, PAM, Channel bandwidth for a PAM signal, Natural sampling, Flat-top sampling, Signal recovery though holding, Quantization of signals, Quantization error, PCM, Electrical representations of binary digits, PCM systems, DPCM, Delta Modulation, Adaptive delta modulation.

13 Hrs. UNIT-IV Digital modulation: Introduction, Binary Shift Keying, DPSK, QPSK, QPSK transmitter, non-offset QPSK, QPSK receiver, Signal - space representation, BFSK, Spectrum, Receiver for BFSK, Geometrical representation of orthogonal BFSK, TDM.

13 Hrs. Course Outcomes:

Students will: CO1: Define and list the properties of modulation and demodulation techniques. CO2: Describe the concepts of modulation and demodulation techniques. CO3: Distinguish the modulation and demodulation techniques. CO4: Calculate the various parameters of modulated signals and represent the signal in both time and frequency domain. CO5: Analyze a suitable modulation and demodulation technique for a specific communication application. CO6: Discuss and Evaluate the performance of analog communication in the presence of noise.

Text Books: 1. Simon Haykin, “Analog and Digital Communication”, John Willey. 2. Taub, Schilling, “Principles of Communication Systems”, Tata McGraw Hill.

Reference Books: 1. Roy Blake, “Electronic Communication Systems”, 2nd Edition, Thomson publishers,

2002. 2. George Kennedy, “Electronic Communication Systems”, TMG, 4th Edition.

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UEI654C: VIRTUAL INSTRUMENTATION 4 Credits (3-2-0)

Course Objectives:

1. To impart the concepts of virtual instrumentation. 2. To apply concepts of LabVIEW in developing graphical programs. 3. To develop skills in data acquisition, instrumentation and control.

UNIT-I Virtual instrumentation: Virtual instrument and traditional instrument, hardware and software in VI, VI for test, control and design, VI in engineering process, virtual instruments beyond personal computer, graphical system design using Lab VIEW. Introduction to LabVIEW: Advantages, software environment, creating and saving VI, front panel and block diagram toll bar, palettes, controls and indicators, block diagram, data types, data flow program.

10Hrs. Tutorial: 06 Hrs.

UNIT-II Modular programming: Build a VI front panel and block diagram, building a connector pane, displaying sub VIs and express VIs, creating sub VIs, Repetition and loops: For loops, while loops, structure tunnels, terminal inside or outside loops, shift registers, feedback nodes, control timing, communication among multiple loops, local and global variables.

10Hrs. Tutorial: 06 Hrs.

UNIT-III Arrays: Creating one dimensional, two dimensional, multi-dimensional arrays, array initialization, deleting, inserting, replacing elements within an array, array function, auto indexing. Structures: Case, sequence, customizing, timed structures, formula nodes, event structures.

10Hrs. Tutorial: 06 Hrs.

UNIT-IV Data acquisition: Signals, signal conditioning, DAQ hardware configuration, DAQ hardware, analog inputs, outputs, counters. Motion control: Components, software for configuration, prototyping and development, motion controller, move types, motor amplifiers and drives, feedback devices and motion I/O.

10Hrs. Tutorial: 06 Hrs.

Course Outcomes: Students will:

CO1: Describe various aspects of VI. CO2: Comprehend the aspects of VI. CO3: Apply the concepts of VI for the given logic. CO4: Analyze the software and hardware components of VI. CO5: Evaluate the given expression /problem using VI. CO6: Develop LabVIEW program for a given application.

Text Books: 1. Jerome, Jovitha, “Virtual instrumentation using LABVIEW”, PHI, 1st Edition, 2010

(Unit I, II, III). 2. Gary W. Johnson, Richard Jennings, “LabVIEW Graphical Programming”, MGH, 4th

Edition (Unit IV).

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UEI671E: MICRO ELECTRO MECHANICAL SYSTEMS 3 Credits (3-0-0)

Course Objectives:

1. To impart knowledge of micro electro-mechanical systems and their applications. 2. To illustrate the scaling laws. 3. To discuss the materials suitable for design and fabrication of micro systems.

UNIT-I Overview of Micro Electro Mechanical System and Microsystems: MEMS and Microsystems, typical MEMS and microsystem products, evolution of microfabrication, microsystems and microfabrication, microsystem and microelectronics, microsystem and miniaturization, applications of microsystems in various industries. Working Principles of MEMS: Introduction, Microsensors.

10 Hrs. UNIT-II Working Principles of MEMS: Microactuation, MEMS and microactuators, Microaccelerometers, microfluidics. Scaling Laws in Miniaturization: Introduction to scaling, scaling in geometry, scaling in rigid body dynamics, scaling in electrostatic forces, scaling in electromagnetic forces, scaling in electricity, scaling in fluid mechanics, scaling in heat transfer.

10 Hrs. UNIT-III Materials for MEMS and Microsystems: Substrates and wafers, active substrate materials, silicon as a substrate material, silicon compounds, silicon piezoresistors, Gallium Arsenide, Quartz, Piezoelectric crystals, polymers packaging materials. Modeling and simulation of MEMS: Electronic circuits and control for MEMS: MOSFET, Op-Amp, ADC, control theory and controllers (instrumentation amplifier, PLL, airbag trigger system). MEMS system modeling, need for simulation tools, FEM. MEMS design and realization tools - COMSOL. Case studies: micro cantilever based sensor, electro thermal actuator, Electrostatic actuator.

10 Hrs. UNIT-IV Microsystem Fabrication Processes: Introduction to microfabrication, Photolithography, Ion implantation, diffusion, oxidation, chemical vapor deposition, physical vapor deposition, deposition by epitaxy, etching. Micromanufacturing: Bulk micromachining, Surface micromachining, LIGA process.

10 Hrs. Course Outcomes:

Students will: CO1: Define Micro Electro-Mechanical Systems (MEMS) and list their applications. CO2: Illustrate the principle operations of microsensors and microactuators. CO3: Exhibit insights of scaling laws in microsensors and microactuators. CO4: Underline the basics of MEMS modeling tools and model some structures. CO5: Decide suitable materials for fabrication along with fabrication techniques. CO6: Design elementary electronic circuits for sensing and controlling Microsystems.

Text Books: 1. Tai, Ran Hsu, “MEMS and Microsystems: Design and Manufacture”, TMH, 2002. 2. G.K. Ananthsuresh, K.J. Vinoy, S. Gopalkrishna, K.N. Bhat, V.K. Aatre “Micro and

Smart Systems", Wiley Publisher, 2010, ISBN:9788126527151.

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UEI672E: ROBOTICS 3 Credits (3-0-0)

Course Objectives:

1. To associate the basic subsystems of the robot and arm kinematics. 2. To analyze the role of internal and external sensors of robot system. 3. To discuss vision, motion and path planning.

UNIT-I Introduction Robotics: Meaning of robot and robotics, History of robotic, Advantages anddisadvantages of robots, Robot components, Robot degree of freedom, Joints and coordinates, Robot characteristics and workspace, Robot languages and applications, Social issues. Robot Arm Kinematics: Introduction, The direct kinematics problem, Rotation matrices, Composite rotationmatrix, Rotation matrix about an arbitrary axis, Rotation matrix with Euler angle representation, Geometric interpretation of homogeneous transformation matrices, Composite homogeneous transformation matrix.

10 Hrs. UNIT-II Links, Joints and their Parameters: The Denavit Hartenberg representation, Kinematic equations for manipulator,. Other specifications of the locations of the end-effectors, Classification of manipulators, The inverse kinematics problem. Planning of Manipulator Trajectories: Introduction, General considerations on trajectory planning, Joint-interpolated trajectories, Calculation of a 4-3-4 joint trajectory, Cubic spline trajectory.

10 Hrs. UNIT-III Sensing for Robots: Range sensing, triangulation, Structured lighting approach, Time-of-flightrange finders, Proximity sensing, Inductive sensors, Hall effect sensors, Capacitive sensors, Ultrasonic sensors, Optical proximity sensors, Touch sensors, Binary sensors, Analog sensors, Force and torque sensing. Low-level Vision: Image acquisition, Illumination techniques, Imaging geometry, Basic transformations, Perspective transformations.

10 Hrs. UNIT-IV Image Techniques for Low Vision Sensing: Camera model, Camera calibration, Stereo imaging,Basic relationships between pixels, Neighbours of a pixel, Connectivity, Distance measures, Preprocessing, Spatial-domain methods, Frequency-domain methods, Smoothing, Enhancement, Edge detection, Thresholding.

10 Hrs. Course Outcomes: Students will: CO1: Define the basic components of robot system and its functionality. CO2: Distinguish the role of internal and external sensors of robot system.

CO3: Design the motion and trajectory path of a robot. CO4: Explain the basic image processing methods for robot. CO5: Analyze the usage of robot. CO6: Distinguish various methods of image processing techniques for robot.

Text Books: 1. S.Fu, R.C.Gonzalez, C.S.G. Lee, “Robotics Control Sensing Vision and

Intelligence", McGraw Hill, 1987. Reference Books:

2. John J. Craig, “Introduction to Robotics Mechanics and Control”, 2ndEdition, Pearson Education, 2003.

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UEI673E: LOW POWER MICROCONTROLLER

3 Credits (3-0-0) Course Objectives:

1. To impart the concept of low power embedded hardware and software components. 2. To discuss the architecture and instructions of low power microcontroller. 3. To develop the low power microcontroller based systems.

UNIT-I Embedded Electronic Systems and Microcontrollers: What are embedded systems, Approachto embedded systems, Small microcontrollers, Anatomy of a typical small microcontroller, Memory, Software, Where does the MSP430 fit. Architecture of the MSP430 processor: Pin diagram, Functional block diagram, Memory, Central processing unit, Memory-mapped input output, Clock generator, Exceptions- Interrupts and resets.

10 Hrs. UNIT-II Instruction Set: Addressing modes, Constant generator and emulated instructions, Instruction set, Examples, Reflections on the CPU and instruction set, Resets, Clock system, Development: Development environment, The C programming language, Assembly language, Access to microcontroller for programming and debugging, Light LEDs in C, Read input from a switch, Flashing light by software delay, Flashing light by polling Timer A, Use of subroutines for automatic control

10 Hrs. UNIT-III Functions, Interrupts and Low Power Modes: Functions and subroutines, Interrupts, Low-power modes of operation. Digital Input Outputs and Displays: Digital input outputs- parallel ports, Digital inputs, Switch debounce, Digital outputs, Interface between 3V and 5V systems, Driving heavier loads, Driving an LCD from MSP430, Simple applications of MSP430.

10 Hrs. UNIT-IV Timers: Watchdog timers, Basic timer1, Timer A, Timer B, Selection of timers, Setting the realtime clocks. Communication: Communication peripherals in MSP430, Serial peripheral interface, SPI with USI and USCI, Applications of SPI, I2C, Applications of I2C, Asynchronous serial communication.

10 Hrs. Course Outcomes: Students will: CO1: Define the components necessary for low power embedded hardware design.

CO2: Explain the software components of low power embedded system design. CO3: Analyze the architecture and instructions of low power microcontroller. CO4: Distinguish various aspects required for low power embedded system design. CO5: Design and develop the low power microcontroller based systems. CO6: Distinguish between various peripherals connected to low power.

Text Books: 1. John H. Davies, “MSP 430 Microcontroller Basics”, Elsevier, 2008. 2. Ravikumar C.P. “MSP430 Microcontrollers in Embedded System Projects”, Elite.

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UEI674E: RELIABILITY ENGINEERING 3 Credits (3-0-0)

Course Objectives:

1. To annotate the concepts of reliability and apply statistics in measuring quality characteristics.

2. To create awareness of the evolution of modern quality improvement methods play in controlling and improving quality.

3. To develop the process of acceptance sampling and describe the use of operating characteristic (OC) curves, statistical theory of tolerances.

UNIT-I Reliability Mathematics: Random events, probability concept, properties of probability, totalprobability theorem, conditional probability, Bay‘s theorem, random variables. Discrete distributions: density and distribution functions, binomial distribution, Poisson distribution. Continuous distributions: density and distribution functions, uniform distribution, exponential distribution, Rayleigh distribution, Weibull distribution, Gamma distribution, normal distribution.

10 Hrs. UNIT-II Fundamental Concepts: Concepts of reliability, maintainability, and availability. Failure data,failure density, and failure rate (hazard data), mean failure rate, mean time to failure (MTTF), probability density function, probability distribution function (PDF), cumulative distribution function (CDF), bath tub curve.

10 Hrs. UNIT-III Hazard Models: Constant-hazard model, linear-hazard model, nonlinear-hazard model, etc. System Reliability: Series configuration, parallel configuration, mixed configurations, an r-outof-n structure, non series-parallel systems, MTTF of systems. Redundancy: Element redundancy, unit redundancy, mixed redundancy, standby redundant

10 Hrs. UNIT-IV Maintainability and Availability: System down time, inherent availability, achievedavailability, operational availability, reliability and maintainability trade-off, maintainability function, availability function, frequency of failures, two unit parallel system with repair.

10 Hrs. Course Outcomes:

Students will: CO1: Analyze the role and importance of statistical quality control in industry. CO2: Apply statistics in measuring quality characteristics. CO3: Measure quality, impact of quality on other functions, and the need for continuous improvement. CO4: Distinguish different hazard models. CO5: Conduct process capability studies and analysis for process improvement. CO6: Develop the process of acceptance sampling.

Text Books: 1. L.S. Srinath, “Reliability Engineering”, 4th Edition, Affiliated East-West

Press, New Delhi. 2. E. Balagurusamy, “Reliability Engineering”, Tata McGraw Hill.

Reference Books: 1. Charles E. Ebeling, “Reliability and Maintainability

Engineering”, Tata McGraw-Hill Publishing Co. Ltd.,2000

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UEI681E: ARTIFICIAL INTELLIGENCE 3 Credits (3-0-0)

Course Objectives:

1. To impart the knowledge of Artificial Intelligence and its applications. 2. To develop problem solving techniques that use different search methods. 3. To explain machine learning models and method of handling uncertainty.

UNIT-I Introduction: Introduction to Artificial Intelligence, Foundations and History of Artificial Intelligence, Applications of Artificial Intelligence, Intelligent Agents, Structure of Intelligent Agents, Computer vision, Natural Language Possessing.

10 Hrs. UNIT-II Introduction to Search : Searching for solutions, Uniformed search strategies, Informed search strategies, Local search algorithms and optimistic problems, Adversarial Search, Search for games, Alpha - Beta pruning.

10 Hrs. UNIT-III Knowledge Representation & Reasoning: Propositional logic, Theory of first order logic, Inference in First order logic, Forward & Backward chaining, Resolution, Probabilistic reasoning, Utility theory, Hidden Markov Models (HMM), Bayesian Network.

10 Hrs. UNIT-IV Machine Learning: Supervised and unsupervised learning, Decision trees, Statistical learning models, Learning with complete data - Naive Bayes models, Learning with hidden data – EM algorithm, Reinforcement learning.

10 Hrs. Course Outcomes:

Students will: CO1: Interpret modern view of AI and its application based on agent philosophy. CO2: Use knowledge representation and inference techniques. CO3: Demonstrate various searching algorithms of AI. CO4: Analyze the knowledge-based systems. CO5: Evaluate the knowledge base system. CO6: Ability to apply knowledge representation, reasoning, and machine learning techniques to real-world problems.

Text Books: 1. Stuart Russell, Peter Norvig, “Artificial Intelligence A Modern Approach” ,

Pearson Education. 2. Elaine Rich, Kevin Knight, “Artificial Intelligence”, McGraw-Hill. 3. E Charniak, D McDermott, “Introduction to Artificial Intelligence”, Pearson

Education. 4. Dan W. Patterson, “Artificial Intelligence and Expert Systems”, Prentice Hall

of India.

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UEI682E: BIOMEDICAL SIGNAL PROCESSING 3 Credits (3-0-0)

Course Objectives:

1. To discuss the fundamentals and characteristics of biomedical signals. 2. To illustrate the methods of data reduction and spectral estimation. 3. To impart the skills of biomedical data handling and analysis.

UNIT-I Introduction to Biomedical Signals: Nature of biomedical signals, Classification of biomedical signals, Objectives of biomedical signal analysis, Difficulties encountered during acquisition and processing of biomedical signals, Computer aided diagnosis. DSP of Biomedical Signals: Sampling, spectral estimation, Random Processing: Introduction, Elements of probability theory, Random signal characterization, Correlation analysis, The Gaussian process.

10 Hrs. UNIT-II Dynamic Biomedical Signals: Characteristics of ENG, ERG, EOG, EEG, EP, EMG, ECG/EKG, EGG, GSR, and EDR. ECG QRS Detection: Power spectrum, Differentiation method, Template matching method, QRS detection algorithm, ST segment analyzer, Portable arrhythmia monitors, Arrhythmia analysis, Signal averaging.

10 Hrs. UNIT-III Data Reduction: Turning point algorithm, Fan algorithm, AZTEC algorithm, Huffman and modified Huffman coding, Run length coding, Residual differencing. Time Series Analysis: Introduction, AR models, MA models, ARMA models, Adaptive Segmentation: Introduction, ACM method, SEM method.

10 Hrs. UNIT-IV Spectral Estimation: The BT method, Periodogram, Maximum entropy method, AR method, Moving average method, ARMA method, Maximum likelihood method, Adaptive Filter : Introduction, General structure, LMS adaptive filter, Adaptive noise canceling - Cancellation of mains interferences, Commercial DSP systems.

10 Hrs. Course Outcomes: Students will:

CO1: Identify the need of biomedical signal analysis. CO2: Classify vital biomedical signals and discuss about difficulties encountered during acquisition process. CO3: Characterize biomedical signals. CO4: Analyze various data reduction algorithms. CO5: Categorize and interpret DSP techniques. CO6: Use DSP techniques for biomedical data handling and analysis.

Text Books: 1. Arnon Cohen, “Biomedical Signal Processing,” Volume I and II, CRC press,

1986. 2. Willis J. Tomkin, “Biomedical Digital Signal Processing,” PHI,1993.

Reference Books: 1. D.C.Reddy, “Biomedical Signal Processing,” TMH,2008. 2. Rangaraj M, Rangayyan , “Biomedical Signal Analysis,” John Wiley &

Sons,2009.

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UEI683E: COMPUTER COMMUNICATION NETWORKS

3 Credits (3-0-0) Course Objectives:

1. To infer the fundamentals of OSI and TCP/IP reference model. 2. To illustrate the use of protocols. 3. To highlight the concepts of network security.

UNIT-I Introduction: Uses of computer networks, Network hardware, Network software, Reference models. The physical layer: The theoretical basis for data communication, Guided transmission media, Wireless transmission.

10 Hrs. UNIT-II The data link layer: Data link layer design issues, Error detection and correction, Elementary data link protocols, Sliding window protocols. The medium access control sub-layer: The channel allocation problem, Multiple access protocols: Aloha, Carrier Sense Multiple Access protocols.

10 Hrs. UNIT-III The Network layer: Network layer design issues, Routing algorithms, Congestion control algorithm. The Transport layer: The transport services, Elements of transport protocol.

10 Hrs. UNIT-IV Network security: Cryptography, Symmetric key algorithms, Public key algorithms. The Application layer: Domain name system (DNS), The DNS name space, resource records. Electronic mail, Architecture, World Wide Web (WWW). Architectural overview.

10 Hrs. Course Outcomes:

Students will: CO1: List the applications of computer networks and Identify different types of networks. CO2: Distinguish OSI and TCP/IP reference model. CO3: Explain function and role of physical, data link, network, transport and application layer in a network. CO4: Comprehend different layers of network issues related to design. CO5: Interpret the skills of sub-netting and routing mechanism in computer networks. CO6: Discuss the concept of cryptography.

Text Books: 1. Andrews S. Tanenbaum, “Computer Networks”, 4th Edition, Pearson

Education. Reference Books:

1. William Stallings, “Data and Computer Networks”, 5th Edition, PHI 2. William Stallings, “Cryptography and Network Security” 4th Edition, Pearson

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UEI684E: : LINEAR ALGEBRA

3 Credits (3-0-0) Course Objectives:

1. To impart computational proficiency in linear algebra. 2. To describe the axiomatic structure of a modern mathematical subject and to construct simple

proofs. 3. To solve problems of Chemistry, Economics and Engineering using linear algebra.

UNIT-I Matrices and Gaussian Elimination: Introduction, The geometry of linear equations, Gaussian elimination, Matrix notation and matrix multiplication, Triangular factors and row exchanges, Inverses and transposes, Special matrices and applications.

10 Hrs. UNIT-II Vector Spaces: Vector spaces and subspaces, SolvingAx = 0andAx = b, Linear independence,Basis, and Dimension, The four fundamental subspaces, Graphs and networks, Linear transformations

10 Hrs. UNIT-III Orthogonality: Orthogonal vector and subspaces, Cosines and projections onto lines,projections and least squares, Orthogonal bases, Gram-Schmidt.

10 Hrs. UNIT-IV Determinants: Introduction, Properties of the determinant, Formulas for the determinant,Applications of determinants. Eigen values and Eigen vectors: Introduction, Diagonalization of a matrix, Differenceequations, and powers of Ak, Differential equations and eAt , complex matrices and similarity transformations.

10 Hrs. Course Outcomes:

Students will: CO1: Define and analyze basic terms and concepts of matrices, special matrices. CO2: Exhibit computational proficiency in linear algebra. CO3: Demonstrate understanding of the concepts of vector space and subspace. CO4: Apply principles of matrix algebra to linear transformations. CO5: Apply the axiomatic structure of a modern mathematical subject and construct simple proofs. CO6: Solve problems of Chemistry, Economics and Engineering using linear algebra.

Text Books: 1. Gilbert Strang, “Linear Algebra”, Cengage Learning India Private Limited,

2006. Reference Books:

1. Seymour Lipschutz, Marc Lipson, “Linear Algebra”, 5th Edition, Schaum‘s Outlines Series.

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UEI656L: SYSTEM SIMULATION AND ANALYSIS LABORATORY

1 Credit(0-0-2) Course Objectives:

1. To impart the concept of simulation for a given system. 2. To give hands on training in usage of MATLAB/Simulink for simulation.

List of Experiments:

1. Introduction to SIMULINK (Study Expt.) 2. Implementation of RC Low Pass filter in SIMULINK 3. Simulation of first order system in MATLAB and SIMULINK 4. Simulation of second order system in MATLAB and SIMULINK 5. Simulation of second order system with Proportional controller in MATLAB and SIMULINK 6. Simulation of second order system with Proportional-Plus-Derivative controller inMATLAB and

SIMULINK 7. Simulation of second order system with Proportional-Plus-Integral controller in MATLAB and

SIMULINK 8. Simulation of second order system with Proportional-Plus-Integral-Plus- Derivative controller in

MATLAB and SIMULINK 9. State space analysis of control system using SIMULINK 10. Incorporation of MATLAB program into a Simulation Model

Course Outcomes:

Students will: CO1: Model and simulate the given system. CO2: Run the simulation. CO3: Analyze and interpret the simulation results

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UEI667L:BASIC PROCESS CONTROL LABORATORY

1 Credit(0-0-2) Course Objectives:

1. To give hands on experience in designing signal conditioning circuits for various sensors. 2. To design analog controllers in different modes and to understand their practical significance. 3. To give practical exposure to some of the actuators and final control elements. 4. To give knowledge on pneumatic and hydraulic control elements.

List of Experiments:

1. Design and implementation of signal conditioning circuit for given RTD to display the physical parameter in the given range using DPM/DVM as display.

2. Design and implementation of signal conditioning circuit for given thermocouple to display the physical parameter in the given range using DPM/DVM as display.

3. Design and implementation of signal conditioning circuit for given thermistor to display the physical parameter in the given range using DPM/DVM as display.

4. Design and implementation of signal conditioning circuit for given AD590 to display the physical parameter in the given range using DPM/DVM as display.

5. Design and implementation of signal conditioning circuit for given load cell arrangement to display the physical parameter in the given range using DPM/DVM as display.

6. Design and implementation of analog proportional (P), derivative (D), integral (I) controller using OPAMPS and other passive components.

7. Design and implementation of analog PI controllers using OPAMPS and other passive components.

8. Design and implementation of analog PID controller using OPAMPS and other passive components.

9. Experiment on synchros and resolvers. 10. Characteristics of I to P converter and P to I converter. 11. Characteristics of differential pressure transmitter. 12. Characteristics of control valve. 13. Study of pneumatic and hydraulic control elements. 14. Experiment on relay driving circuit to control dc motor.

Course Outcomes:

Students will: CO1: Design and develop a circuit/system for the given objective. CO2: Conduct the experiment and demonstrate the theoretical concepts. CO3: Analyze and interpret the experimental results.

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UEI751C: PROCESS AUTOMATION

4 Credits (4-0-0) Course Objectives:

1. To convey the importance and benefits of industrial automation. 2. To develop PLC programming skills. 3. To discuss SCADA and DCS for process automation.

UNIT-I Introduction to Industrial Automation: Utility of automation, General structure of automated process, Examples of some simple automated systems. Introduction to Programmable Logic Controllers(PLC): Introduction to PLC operation-The digital concept, Analog signals, The input status file, The output status file, Input and output status files, Sixteen point I/O modules, PLC memory. Introduction to Logic: The logic, Conventional ladder v/s LPLC ladder, Series and parallel function of OR, AND, NOT, XOR logic, Analysis of rung. Input modules - Discrete type, Discrete AC and DC type. Output Modules - Discrete type, Solid-state type, Switching relay type.

13 Hrs. UNIT-II PLC Instructions: The basic relay instructions normally open and normally closed instructions, Output latching instructions, Understanding relay instructions and the programmable controller input modules, Interfacing start stop pushbutton and motor to PLC, Developing ladder diagram with analytical problems.

13 Hrs. UNIT-III Timer and Counter Instructions: On delay and off delay and retentive timer instructions, PLC counter up and down instructions, Combining counters and timers, Developing ladder diagram with analytical problems. Comparison and Data Handling Instructions: Data handling instructions, Sequencer instructions - Programming sequence output instructions, Developing ladder diagram with analytical problems.

13 Hrs. UNIT-IV Supervisory Control And Data Acquisition (SCADA): Introduction as applied to process control systems. Distributed Control System (DCS): Evolution of digital controllers, Advantages of digital control, Process control requirements of digital control, Computer network, Interconnection of networks and communication in DCS. Different Bus Configurations Used for Industrial Automation: RS232, RS485, CAN, HART and OLE protocol, Industrial field bus- FIP (Factory Instrumentation protocol), PROFIBUS (Process field bus), Bit bus.(Fundamentals only).

13 Hrs. Course Outcomes:

Students will: CO1: Elucidate the role of automation in process industry. CO2: Describe typical components of PLC and its memory organization. CO3: Illustrate the working of PLC instructions and compare electrical relay logic and PLC ladder logic. CO4: Develop program for PLC applications. CO5: Interpret the role of SCADA and DCS in process control. CO6: Appraise the role of buses in industrial communication.

Text Books: 1. Garry Dunning, “Introduction to Programmable Logic Controllers”, 2nd Edition. Thomson

Publishing, ISBN: 981-240-625-5. 2. Madhuchhanda Mitra and Samarjit Sen Gupta, “Programmable Logic Controllers and

Industrial Automation: An Introduction”, Penram International Publishing India Pvt Ltd. 3. M. Chidambaram, “Computer control of Processes”, Narosa Publishing.

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Reference Books:

1. Curtis Johnson, “Process Control Instrumentation Technology”, Prentice Hall of India.

2. Bela G. Liptak, “Instrumentation Engineers Hand Book – Process Control”, Chilton Book Company, Pennsylvania.

3. W.Bolton, “Industrial Control and Instrumentation”, Universities Press.

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UEI752C: ADVANCED MICROPROCESSOR

3 Credits (3-0-0) Course Objectives:

1. To inculcate the basics of microprocessors 2. To enhance programming skills 3. To impart the knowledge on interfacing peripherals

UNIT-I Introduction to microprocessor: A historical background, the microprocessor-based personal computer system. Architecture of 8086: Special functions of General purpose registers, Physical memory organization, 8086 flag register, Pin Diagram of 8086: Minimum and Maximum mode of operation, Timing Diagram.

10 Hrs. UNIT-II Addressing Modes of 8086: Data addressing modes, program memory addressing modes, stack memory addressing modes, Assembler Directives, Instruction set of 8086: Data movement instructions, arithmetic and logic instructions, program control instructions, Assembly language programs involving logical, branch and call instructions, Sorting, Evaluation of arithmetic expressions, String manipulation, Procedures and macros.

10 Hrs. UNIT-III Memory interface: Address decoding, 8088/8086 memory interface (Static RAM &EPROM),Direct Memory Access: Need for DMA, DMA data transfer method, Interfacing with 8237/8257, Interrupts: Interrupt structure of 8086,Vector interrupt, Interrupt service routines, Introduction to DOS interrupts

10 Hrs. UNIT-IV Peripheral interrupt controller:8259 PIC Architecture and interfacing cascading of interrupt vector controller and its importance, 8255 PPI: Various modes of operation and interfacing to 8086, Interfacing keyboard, Displays, Salient features of 80286, 80386 and 80586 advanced microprocessors.

10 Hrs. Course Outcomes: Students will:

CO1: Define the basic components of 8086 microprocessor. CO2: Distinguish various addressing modes and instructions of 8086 microprocessor. CO3: Apply the knowledge of 8086 instructions for developing the program. CO4: Develop programs for 8086 based systems. CO5: Design system with memory and other peripheral devices. CO6: Analyze the given 8086 program to identify the errors or output.

Text Books: 1. Barry B. Brey, "The Intel Microprocessors," 8thEdition, Pearson Education, 2009. 2. Douglas V. Hall, "Microprocessors and interfacing," 2nd Edition, TMH, 2010

Reference Books: 1. Y.C. Liu, G. A. Gibson, "Microcomputer systems-The 8086 / 8088 family," 2nd Edition,

PHI, 2003. 2. A.K. Ray and K.M. Bhurchandi, "Advanced Microprocessors and Peripherals," TMH,

2001.

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UEI753C: NEURAL NETWORKS AND FUZZY LOGIC 4 Credits(4-0-0)

Course Objectives:

1. To provide comprehensive knowledge of ANN and Fuzzy logic. 2. To comprehend the concept of fuzziness and fuzzy set theory. 3. To develop fuzzy system models.

UNIT-I Introduction to Neural Networks: What is neural network, Human Brain, Models of a Neuron, Neural Networks viewed as directed graphs, Feedback, Network architectures, Knowledge Representation, Artificial Intelligence and Neural Networks. Learning Processes: Introduction, Error correction learning, Memory based learning, Hebbian Learning.

13 Hrs. UNIT-II Competitive learning, Boltzmann learning, credit assignment problem, learning with a teacher, learning without a teacher, Learning tasks. Single layer Perceptrons: Introduction, Perceptron, and perception convergence theorem, Multilayer perceptrons: Introduction, Some preliminaries, Back Propagation Algorithm, XOR Problem.

13 Hrs. UNIT-III Hopfield Networks and Boltzmann Machine: Analysis of the Hopfield net, energy minimization, dynamics, ising models, learning, capacity and phase transitions, continuous networks, optimization using neural networks, Boltzmann machines, finding minima. Introduction to Fuzzy Logic: Uncertainty and Imprecision, statistics and random processes, Uncertainty in information, fuzzy sets and membership, classical sets, operations on classical sets, properties of classical sets, mapping of classical sets to function, fuzzy set operation, properties of Fuzzy sets, Sets as points in Hyper cubes.

13 Hrs. UNIT-IV Classical relations and fuzzy relations: Cartesian product, crisp relations, fuzzy relations, tolerance and equivalence relations, fuzzy tolerance and equivalence relations, membership functions: Features of membership functions, standard forms and boundaries, fuzzification, membership value assignment. Fuzzy to crisp conversions: lambda cuts for fuzzy sets, lambda cuts for fuzzy relations, defuzzification methods.

13 Hrs. Course Outcomes:

Students will: CO1: Describe the fundamentals of neural networks and fuzzy logic. CO2: List various types of neural networks and fuzzification methods. CO3: Illustrate different types of neural networks, fuzzy methods and learning process. CO4: Analyze different networks and fuzzy methods. CO5: Critically examine networks and fuzzy methods. CO6: Apply fuzzy logic methods for specific real time problems.

Text Books: 1. Simon Haykin, "Neural Networks - A Comprehensive Foundation", McMillan College

Publishing Company, New York, 1994. 2. James A. Anderson, "An introduction to Neural Networks", Prentice Hall of India. 3. Timothy J. Ross,"Fuzzy Logic with Engineering Applications", McGraw Hill International

Edition, 1997. Reference Books:

1. Jacek M. Zurada, “Introduction to Artificial Neural Systems”, Jaico Publishing House. 2. Robert J. Schalkoff, "Artificial Neural Networks", McGraw Hill International Edition,1997. 3. Bart Kosko, "Neural Networks and Fuzzy Systems, A Dynamical Systems Approach to

Machine Intelligence", Prentice Hall of India Publications, 2006.

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UEI771E: RENEWABLE ENERGY 3 Credits (3-0-0)

Course Objectives: 1. To define renewable energy and to introduce the different renewable energy technologies in

an Indian context. 2. To enumerate and discuss the strengths and weaknesses of renewable energy technologies. 3. To review the issues affecting effective deployment of renewable energy systems

UNIT-I Introduction to Energy Sources: Importance of energy consumption as measure of prosperity, per capita energy consumption, classification of energy resources; conventional energy resources – availability and their limitations; non-conventional energy resources: Classification, advantages, limitations; comparison of conventional and non-conventional energy resources. Solar energy basics: Introduction, solar constant, basic sun-earth angles – definitions and their representation, solar radiation geometry (only theory); Measurement of solar radiation data: Pyranometer and pyroheliometer.Solar thermal systems: Principle of conversion of solar radiation into heat, solar water heaters (Flat plate collectors), Solar cookers: box type, concentrating dish type; solar driers, solar still.

10 Hrs. UNIT-II Solar Electric Systems: Solar thermal electric power generation: Solar pond and concentrating solar collector (parabolic trough, parabolic dish, central tower collector). Advantages and disadvantages; Solar photovoltaic: Solar cell fundamentals, module, panel and array. Solar PV systems: Street lighting, domestic lighting and solar water pumping systems. Wind energy: Wind and its properties, history of wind energy, wind energy scenario – world and India. Basic principles of wind energy conversion systems (WECS), classification of WECS, parts of a WECS, derivation for power in the wind, advantages and disadvantages of WECS.

10 Hrs. UNIT-III Biomass Energy Introduction, photosynthesis process, biomass conversion technologies; Biomass gasification: Principle and working of gasifies;Biogas: production of biogas, factors affecting biogas generation, types of biogas plants – KVIC and Janata model. Geothermal Energy: Introduction, geothermal resources (brief description), advantages and disadvantages, applications of geothermal energy.

10 Hrs. UNIT-IV Energy from Ocean: Tidal energy: Principle of tidal power, components of tidal power plant (TPP), classification of tidal power plants, advantages and limitation of TPP. Ocean thermal energy conversion (OTEC): Principle of OTEC system, methods of OTEC power generation: Open cycle (Claude cycle), closed cycle (Anderson cycle) and hybrid cycle (block diagram description of OTEC), advantages & limitation of OTEC. Emerging Technologies: Fuel cell, hydrogen energy, and wave energy. (Principle of energy generation using block diagrams, advantages and limitations).

10 Hrs. Course Outcomes:

Students will: CO1: List the types of renewable energy sources and their advantages. CO2: Distinguish different renewable energy sources. CO3: Describe the technologies for renewable energy. CO3: Identify and assess the strength and weaknesses of different potential renewable energy sources. CO4: Design method for harnessing a specific renewable energy. CO5: Use renewable energy source for a particular system. CO6: Implement a renewable energy sourced project (or application).

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Text Books: 1. Rai G. D., “Non-Conventional Sources of Energy”, 4th Edition, Khanna

Publishers, 2007. 2. Khan B. H., “Non-Conventional Energy Resources”, TMH, New Delhi, 2006.

Reference Books: 1. Mukherjee D., Chakrabarti, S., “Fundamentals of Renewable Energy Systems”, New

Age International Publishers, 2005. 2. Tiwari, G. N., Ghosal M. K., “Renewable Energy Sources: Basic Principles and

Applications”, Alpha Science International Ltd., New Delhi, 2006.

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UEI772E: WIRELESS COMMUNICATION 3 Credits (3-0-0)

Course Objectives:

1. To impart cellular network systems and their generations. 2. To describe the wireless network architecture and operation. 3. To discuss cellular network modulation techniques.

UNIT-I Evolution and deployment of cellular telephone systems: Different generations of wireless cellular networks,1G, 2G, 2.5G, 3G and 4G cellular systems. Common cellular system components: Common cellular network components, Hardware and software views of cellular networks, 3G cellular system components, Cellular component identification, Call establishment.

10 Hrs. UNIT-II Wireless network architecture and operation: Cellular concept, Cell fundamentals, Capacity expansion techniques, Cellular backbone networks, Mobility management, Radio resources and power management Wireless network security, CDMA technology: CDMA overview, CDMA network and system architecture.

10 Hrs. UNIT-III GSM and TDMA techniques: GSM system overview, GSM network and system architecture, GSM channel concept.GSM system operation: GSM identities, GSM system operations (traffic cases), Call handoff, GSM infrastructure communications (Um interfaces), other TDMA systems.

10 Hrs. UNIT-IV Wireless modulation techniques and hardware: Transmission characteristics of wire line and fiber system, Characteristics of air interface, Path loss models, Wireless coding techniques, Digital modulation techniques, Spread spectrum modulation techniques, UWB radio techniques, Diversity techniques. Introduction to wireless LAN 802.11X technologies, Evolution of Wireless LAN, IEEE 802.11design issues.

10 Hrs. Course Outcomes:

Students will: CO1: Define the characteristics of different generations of cellular networks CO2: Identify the basic functions of common cellular system components. CO3: Classify the different generations of wireless networks. CO4: Comprehend the Architecture and operation of wireless mobile network and capacity expansion techniques. CO5: Describe the operation of GSM system, GSM protocol architecture, TDMA and CDMA systems. CO6: Discuss different wireless modulation techniques and working of different wireless technologies.

Text Book: 1. Gary J. Mullet, “Wireless Telecom Systems and Networks”, Thomson Learning,

2006 Reference Books:

1. Lee W.C.Y., “Mobile Cellular Telecommunication”, McGraw Hill, 2002. 2. D. P. Agrawal, “Wireless Communication”, Thomson Learning, 2007. 3. David Tse, Pramod Viswanath, “Fundamentals of Wireless Communication”,

Cambridge, 2005.

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UEI773E: MEDICAL IMAGING TECHNIQUES 3 Credits (3-0-0)

Course Objectives:

1. To discuss concepts of medical imaging techniques. 2. To articulate algorithms for medical image processing. 3. To discuss the different object recognition methods.

UNIT-I Introduction: Basic imaging principle, Physical signals, Imaging modalities-Projection radiography, Computed Tomography, Nuclear medicine, Ultrasound imaging, Magnetic Resonance Imaging. X-Ray :Interaction between X-Rays and matter, Intensity of an X-Ray, Attenuation, X-Ray Generation and Generators, Beam Restrictors and Grids, Intensifying screens, fluorescent screens and Image intensifiers, X-Ray detectors, Conventional X-Ray radiography, Fluoroscopy, Angiography, Digital radiography, Dynamic spatial reconstructor, Electron beam CT, X-Ray image characteristics, Biological effects of ionizing radiation.

10 Hrs. UNIT-II Computed Tomography: Conventional tomography, Computed tomography principle, Generations of CT machines – First, Second, Third, Fourth, Fifth, Sixth & Seventh.Ultrasound :Acoustic propagation, Attenuation, Absorption and Scattering, Ultrasonic transducers, Transducer Arrays, A mode, B mode, M mode scanners, Tissue characterization, Color Doppler flow imaging, Echocardiography.

10 Hrs. UNIT-III Radio Nuclide Imaging: Interaction of nuclear particles and matter, nuclear sources, Radionuclide generators, Nuclear radiation detectors, Rectilinear scanner, scintillation camera, SPECT, PET.

10 Hrs. UNIT-IV Magnetic Resonance Imaging: Angular momentum, Magnetic dipole moment, Magnetization, Larmor frequency, Rotating frame of reference, Free induction decay, Relaxation times, Pulse sequences, Generation and Detection of NMR Imager. Slice selection, Frequency encoding, Phase encoding, Spin-Echo imaging, Gradient-Echo imaging, Imaging safety, Biological effects of magnetic field, Introduction to Functional MRI.

10 Hrs. Course Outcomes:

Students will: CO1: Define basic imaging principles. CO2: Identify techniques used to handle medical images. CO3: Analyze the compression principles and techniques applied for medical images. CO4: Interpret various medical image processing algorithms. CO5: Apply image segmentation techniques for medical images. CO6: Implement morphological image processing algorithms.

Text Books: 1. K. Kirk Shung, Michael B Smith, Benjamim M. W. Tsui, “Principles of Medical

Imaging,” Academic Press Inc. 2. Jerry L. Prince, Jonathan M. Links, “Medical Imaging Signals and Systems,”

Pearson Prentice Hall.

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UEI774E:OPERATING SYSTEMS 3 Credits (3-0-0)

Course Objectives:

1. To impart the fundamental concepts of OS. 2. To discuss the mechanism of processes and thread communication. 3. To explain memory management and scheduling.

UNIT-I Introduction to operating systems and system structures: What operating systems do, Computer system organization, Computer system architecture, Operating system Structure, Operating system operations, Process management, Memory management, Storage management, Protection and security, Distributed system, Special purpose systems, Computing environments, Operating System Services, User - operating system interface, System calls, Types of system calls, System programs.

10 Hrs. UNIT-II Process management: Overview, operations on process. Process Scheduling: Basic concepts. Scheduling criteria, Scheduling algorithms, multiple processors scheduling. Deadlocks: System model, Deadlock characterization, Methods for handling deadlocks, Deadlock prevention, Deadlock avoidance, Deadlock detection and recovery from deadlock.

10 Hrs. UNIT-III Memory management strategies: Background, Swapping, Contiguous memory allocation, Paging, Structure of the page table, Segmentation of the page table, Segmentation. Virtual memory management: Background, Demand paging, Page replacement, Allocation of frames, Thrashing.

10 Hrs. UNIT-IV File system concept and implementation: File concept, Access methods, Directory structure, File system mounting. Implementing file systems: File system structure, File system implementation, Directory implementation, Allocation methods, Free space management. Protection and security: Goals of protection, Domain of protection, Access matrix, Implementation of access matrix, Revocation of access rights, The security problem, Program threats, System and network threats.

10 Hrs. Course Outcomes: Students will: CO1: Identify structure of operating systems and formulate the operating system Requirements.

CO2: Visualize the purpose and basic concept of operating system. CO3: Analyze various scheduling techniques. CO4: Interpret information handling and various resource control methods. CO5: Apply the principles of concurrency and synchronization to provide solution to the concurrent programs/software. CO6: Demonstrate competence in select and apply operating system features in solving problems related to operating system

Text Book: 1. Abraham Silberschatz, Peter Baer Galvin, Greg Gagne, “Operating System Principles”,

7th Edition, John Wiley & Sons, 2003. Reference Books:

1. Milan Milankovic, “Operating System Concepts and Design”, 2nd Edition, McGraw Hill, 1992.

2. Harvey M. Deital, “Operating Systems”, Addison Wesley, 1990. 3. D.M Dhamdhere, “Operating Systems Concepts Based Approach”, Tata McGraw Hill, 2002

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UEI781E: EMBEDDED SYSTEMS DESIGN 3 Credits (3-0-0)

Course Objectives:

1. To discuss basic concepts of embedded systems and different peripheral interfaces. 2. To practice embedded system programming. 3. To give insight of various microcontrollers.

UNIT-I Introduction to Embedded Systems: Definition, over view of architecture, Application areas, Specialties, Recent trends. Architecture of Embedded Systems: Hardware architecture, Software architecture, Application software, Communication software, Process of generating executable image, Development/ testing.

10 Hrs. UNIT-II Programming for Embedded Systems: Overview of ANSI C, GNU development tools, Bit manipulation using C, Memory management, Timing of programs, Device drivers, Productivity tools, Code optimization, C coding guidelines, Programming in C++. The Process of Embedded System Development: The development process, Requirements engineering, Design, Implementation, Integration and testing, Packaging, Managing projects.

10 Hrs. UNIT-III Hardware Platforms: Types, 89C51 microcontroller development board, AVR microcontroller development board. Communication Interfaces: Need, RS232/UART, RS422/RS485, and Bluetooth. Overview of Real Time Operating Systems: Off-the-shelf, Embedded and handheld.

10 Hrs. UNIT-IV Embedded Systems Applications Using Intel Strong ARM platform: Architecture of Proyog, applications, Advanced applications.

10 Hrs. Course Outcomes: Students will:

CO1: Define the building blocks of embedded systems. CO2: Explain the system development process. CO3: Apply software-hardware integration knowledge to design an embedded solution. CO4: Distinguish between various embedded system design models. CO5: Analyze a given embedded system and identify its critical performance. CO6: Design and develop embedded based systems.

Text Book: 1. Dr. K. V. K. K. Prasad, “Embedded / Real-time systems, Design Concepts and

Programming“, Dreamtech Press, 2009.

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UEI782E: VLSI DESIGN

3 Credits (3-0-0) Course Objectives:

1. To impart basic concepts of MOS technology. 2. To design layout for digital circuits. 3. To provide adequate knowledge of semiconductor memories.

UNIT-I Introduction to MOS Technology: Introduction to integrated circuit technology, Metal oxide semiconductor and related VLSI technology, Basic MOS transistors, enhancement mode transistor action, depletion mode transistor, nMOS fabrication, CMOS fabrication, BiCMOS technology. Basic Electrical Properties of MOS and BiCMOS Circuits: Drain to source current verses Voltage characteristics, threshold voltage, trans-conductance, nMOS inverter, determination of pull up to pull down ratio, nMOS inverter driven through one or more pass transistors, alternative forms of pull up, CMOS inverter, MOS transistor circuit model, BiCMOS inverters.

10 Hrs. UNIT-II MOS and BiCMOS Circuit Design Process: MOS layers stick diagrams, nMOS design style, CMOS design style, designs rules and layout, and lambda based design rules. Basic Circuit Concept: sheet resistance, area capacitance calculation, delay unit, inverter delay, driving large capacitive loads, super buffers, wiring capacitance.

10 Hrs. UNIT-III Subsystem Design and Layout: architectural issues, gate (restoring) logic, examples of structured design (combinational logic)- a parity generator, Bus arbitration logic for n-line bus, multiplexers. Subsystem Design Process: General consideration, design process- 4 bit arithmetic processor.

10 Hrs. UNIT-IV Semiconductor memories: Introduction, Dynamic random access memory, static random-access memory, non-volatile memory, flash memory, Ferro electric random access memory.

10 Hrs. Course Outcomes:

Students will: CO1: Describe the static and dynamic behaviour of MOSFETs. CO2: Recognize about the trends in semiconductor technology, and how it impacts scaling and its effect on device density, speed and power consumption. CO3: Produce Stick diagrams, Fabrication steps. CO4: Compute the interconnect delay and noise. CO5: Describe the principle operation of different types of memories. CO6: Design various circuits for RAM.

Text Books: 1. Douglas A. Pucknell, Kamran Eshraghian, “Basic VLSI Design”, 3rdEdition, PHI. 2. Sung Mo Kang, Yusuf Leblebici, “CMOS Digital Integrated Circuits, Analysis

and Design”, 3rdEdition, Tata McGraw Hill. Reference Books:

1. S. M. Sze, “VLSI Technology”, 2ndEdition, Tata McGraw Hill.

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UEI783E: PROCESS MODELING AND SIMULATION 3 Credits (3-0-0)

Course Objectives:

1. To define and classify process modeling and simulation techniques. 2. To describe the approaches of process modeling and simulations. 3. To give insight of various techniques in lumped and distributed process modeling.

UNIT-I Introduction to Modeling: A systematic approach to model building, classification of models. Principles of Process Systems and Models: Conservation principles, thermodynamic principles. Development models of steady state and dynamic lumped and distributed parameter models based on first principles. Analysis of Ill-conditioned Systems: Meaning and methods.

10 Hrs. UNIT-II Process Modeling: Development of grey box models. Empirical model building, Statistical model calibration and validation. Population balance models. Examples.

10 Hrs. UNIT-III Solutions to Lumped Process Models: Solution strategies for lumped parameter models. Stiff differential equations. Solution methods for initial value and boundary value problems. Euler’s method, R-K method, shooting method, finite difference methods. Solving the problems using MATLAB/SCILAB.

10 Hrs. UNIT-IV Solutions to Distributed Process Models: Solution strategies for distributed parameter models. Solving parabolic, elliptic and hyperbolic partial differential equations. Finite element and finite volume methods.

10 Hrs. Course Outcomes: Students will:

CO1: Classify models. CO2: Identify methods and their suitability for various process modeling. CO3: Develop process modeling. CO4: Find solution for lumped parameter models. CO5: Find solution for distributed parameter models. CO6: Be able to use MATLAB/SCILAB in modeling.

Text Books: 1. K. M. Hangos, I. T. Cameron, “Process Modeling and Model Analysis”, Academic

Press, 2001. 2. W.L. Luyben, “Process Modeling, Simulation and Control for Chemical Engineers”,

2nd Edition, McGraw Hill Book Co., New York, 1990. 3. W. F. Ramirez, “Computational Methods for Process Simulation”, Butterworths,1995.

Reference Books: 1. Park E. Davis, “Numerical Methods and Modeling for Chemical Engineers”, John

Wiley & Sons, 1984. 2. Singiresu S. Rao, “Applied Numerical Methods for Engineers and Scientists” Prentice

Hall, Upper Saddle River, NJ, 2001.

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UEI784E: DIGITAL IMAGE PROCESSING 3 Credits (3-0-0)

Course Objectives:

1. To describe the basics of Digital Image Processing. 2. To illustrate different image processing techniques. 3. To impart image processing skills in practical applications.

UNIT-I Digital Image Fundamentals: Introduction, Fundamental steps in digital image processing (DIP), Components of DIP system, Simple image formation model, Image sampling and quantization, Basic relationship between pixels, Color image processing fundamentals and models. Two-dimensional mathematical preliminaries, 2D transforms: DFT,DCT, KLT, SVD.

10 Hrs. UNIT-II Image Enhancement: Histogram equalization and specification techniques, Noise distributions, Spatial averaging, Directional smoothing, median, Geometric mean. Image Restoration: Image restoration - degradation model. Unconstrained restoration: Lagrange multiplier. Constrained restoration, Inverse filtering-removal of blur caused by uniform linear motion, Wiener filtering.

10 Hrs. UNIT-III Image Segmentation: Edge detection, Edge linking via Hough transform, Thresholding, Region based segmentation, Region growing, Region splitting and merging, Segmentation by morphological watersheds, Basic concepts, Dam construction, Watershed.

10 Hrs. UNIT-IV Image Compression: Need for data compression, Huffman, Run length encoding, Shift codes, arithmetic coding, Vector quantization, Transform coding, JPEG standard, MPEG.

10 Hrs. Course Outcomes:

Students will: CO1: Analyze general terminology of digital image processing. CO2: Examine various types of images, intensity transformations and spatial filtering. CO3: Apply image enhancement techniques in practical applications. CO4: Apply image restoration techniques in practical applications. CO5: Apply image segmentation techniques in practical applications. CO6: Apply image compression techniques in practical applications.

Text Books: 1. Rafael C. Gonzalez, Richard E. Woods, “Digital Image Processing”, Pearson,

2nd Edition, 2004. 2. Anil K. Jain, “Fundamentals of Digital Image Processing”, 2nd Edition

Pearson. Reference Books:

1. Kenneth R. Castleman, “Digital Image Processing”, Pearson, 2006. 2. Rafael C. Gonzalez, Richard E. Woods, Steven Eddins, “Digital Image Processing using MATLAB”, Pearson Education Inc., 2004. 3. D. E. Dudgeon, R. M. Mersereau, “Multidimensional Digital Signal Processing”,Prentice Hall

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UEI765L: PROCESS INSTRUMENTATION AND CONTROL LABORATORY

1 Credits (0-0-2) Course Objectives:

1. To give hands on of PLC programming and interfacing. 2. To give an exposure to key data acquisition techniques. 3. To make use of computers for process control.

List of Experiments: Part A (PLC):

1. Implementation of Boolean functions using PLC. 2. Sequential control experiments using PLC. Logic should be solved using ladder diagram

technique. 3. Experiments on timers and counter instructions of PLC. 4. Interfacing external devices to PLC. 5. Implementation of automatic bottle filling process using PLC. 6. Implementation of control of conveyer belt using PLC. 7. Implementation of elevator control using PLC.

Part B (Data Acquisition):

1. Interfacing the analog signal (sensors) to the computer using available DAQ boards and DASYLab software.

Part C (Computerized Process Control):

1. Interfacing the level process station to the computer using available arrangement and controlling it through PID controller.

2. Interfacing the flow process station to the computer using available arrangement and controlling it through PID controller.

Course Outcomes:

Students will: CO1: Design and develop a system/write program for the given objective. CO2: Conduct the experiment/ execute the program and demonstrate the theoretical concepts.. CO3: Analyze and interpret the results.

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UEI871E:C# PROGRAMMING AND .NET 3 Credits (3-0-0)

Course Objectives:

1. To provide an insight on C# programming and .NET. 2. To develop skills on interfaces. 3. To impart the advanced concepts of C# programming.

UNIT-I The philosophy of .NET: Understanding the Previous State of Affairs, The .NET Solution, The Building Block of the .NET Platform (CLR,CTS, and CLS), The Role of the .NET Base Class Libraries, What C# Brings to the Table, An Overview of .NET Binaries ( aka Assemblies ), Intrinsic CTS Data Types, Understanding the Common Languages Specification, Understanding the Common Language Runtime A tour of the .NET Namespaces, Increasing Your Namespace Nomenclature, Deploying the .NET Runtime, Building C# applications: The Role of the Command Line Complier (csc.exe), Building C # Application using csc.exe Working with csc.exe Response Files, Generating Bug Reports , Remaining C# Compiler Options, The Command Line Debugger (cordbg.exe) Using the, Visual Studio .NET IDE, Other Key Aspects of the VS.NET IDE, C# “Pre-processor:” Directives, An Interesting Aside: The System .Environment Class.

10 Hrs. UNIT-II C# language fundamentals: The Anatomy of a Basic C# Class, Creating objects: Constructor Basics, The Composition of a C# Application, Default Assignment and Variable Scope, The C# Member Initialization Syntax, Basic Input and Output with the Console Class, Understanding Value Types and Reference Types, The Master Node: System, Object, The System Data Types (and C# Aliases), Converting Between Value Types and Reference Types: Boxing and Unboxing, Defining Program Constants, C# Iteration Constructs, C# Controls Flow Constructs, The Complete Set of C# Operators, Defining Custom Class Methods, Understating Static Methods, Methods Parameter Modifies, Array Manipulation in C #, String Manipulation in C#, C# Enumerations, Defining Structures in C#, Defining Custom Namespaces.

10 Hrs. UNIT-III Object- oriented programming with c#: Forms Defining of the C# Class, Definition the “Default Public Interface” of a Type, Recapping the Pillars of OOP, The First Pillars: C#’s Encapsulation Services, Pseudo-Encapsulation: Creating Read-Only Fields, The Second Pillar: C#’s Inheritance Supports, keeping Family Secrets: The “Protected” Keyword, Nested Type Definitions, The Third Pillar: C #’s Polymorphic Support, Casting Between. Exceptions and object lifetime: Ode to Errors, Bugs, and Exceptions, The Role of .NET Exception Handing, the System. Exception Base Class, Throwing a Generic Exception, Catching Exception, CLR System – Level Exception (System Exception), Custom Application-Level Exception (System Exception), Handling Multiple Exception, The Family Block, the Last Chance Exception Dynamically Identifying Application – and System Level Exception Debugging System Exception Using VS. NET, Understanding Object Lifetime, the CIT of “new’, The Basics of Garbage Collection,, Finalization a Type, The Finalization Process, Building an Ad Hoc Destruction Method, Garbage Collection Optimizations, The System. GC Type.

10 Hrs. UNIT-IV Interfaces and collections: Defining Interfaces Using C# Invoking Interface Members at the object Level, Exercising the Shapes Hierarchy, Understanding Explicit Interface Implementation, interfaces As Polymorphic Agents, Building interface hierarchies, implementing, Implementation, Interfaces Using VS .NET, understanding the Convertible Interface, Building a Custom Enumerator Enumerable and Enumerator), Building objects, Building Comparable Objects Comparable), Exploring the system. Collections Namespace, Building a Custom Container (Retrofitting the Cars Type). Call back interfaces, delegates, and events: Understanding all back interfaces, Understanding the .NET Delegate Type, Members of System. Multicast Delegate, The Simplest Possible Delegate Example, Building More a Elaborate Delegate Example, Understanding

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Asynchronous Delegates, Understanding (and Using) Events. 10 Hrs.

Course Outcomes: Students will:

CO1: To learn the basics of C# language and .NET. CO2 : To explain C# elements and OOPS concepts. CO3 : Apply interface and inheritance concepts in C# language. CO4 : Analyze the fundamentals of window application programming CO5 : To develop web applications. CO6 : To construct web applications and window applications.

Text Books: 1. Andrew Troelsen, “Pro C# with .NET 3.0”, Special Edition, Dream Tech Press, India,

2007. 2. E. Balagurusamy, “Programming in C#”, 5th Reprint, Tata McGraw Hill, 2004.

Reference Books: 1. Tom Archer, “Inside C#”,WP Publishers, 2001. 2. Herbert Schildt,“The Complete Reference C#”, Tata McGraw Hill, 2004.

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UEI872E: ARM PROCESSOR 3 Credits (3-0-0)

Course Objectives:

1. To give insight of processor design and fundamentals of ARM processor. 2. To discuss ARM and THUMB instruction set. 3. To highlight various processor architectures.

UNIT-I An Introduction to Processor Design: Processor architecture and organization, Abstraction in Hardware design, MU0- A Simple processor, Instruction set design, Processor design trade-offs, The reduced instruction set computer, Design for low power consumption. The ARM Architecture: The Acorn RISC machine, Architectural inheritance, The ARM programmer’s model, ARM Organization and implementation: 3-stage pipeline ARM organization, 5-stage pipeline ARM organization.

10 Hrs. UNIT-II The ARM Instruction Set: Introduction, Exceptions, Conditional execution, Branch and branch with link (B, BL), Branch, Branch with link and exchange (BX, BLX), Software interrupt (SWI), Data processing instructions, Multiply instructions, Count leading zeros (CLZ - Architecture V5t Only), Single word and unsigned byte data transfer instructions, Half-word and signed byte data transfer instructions, Multiple register transfer instructions, Swap memory and register instructions (SWP), Status register to general register transfer instructions, General register to status register transfer instructions.

10 Hrs. UNIT-III Architectural Support for High-level Languages: Abstraction in software design, Data types, Floating-point data types, The ARM floating-point architecture, Expressions, Conditional statements, Loops, Functions and procedure. ARM Processor Cores: ARM7TDMI, ARM9TDMI.

10 Hrs. UNIT-IV Architectural Support for Operating Systems: An introduction to operating systems, The ARM system control coprocessor, CP15 protection unit registers, ARM protection unit, CP15 MMU registers, ARM MMU architecture, ARM CPU Cores: The ARM710T, ARM720T, and ARM740T.

10 Hrs. Course Outcomes:

Students will: CO1: Describe the fundamentals of ARM processor design. CO2: Distinguish architectural aspects of CICS and RISC. CO3: Compute the output for ARM instructions. CO4: Analyze the given set of ARM instructions. CO5: Differentiate various ARM cores. CO6: Summarize the characteristics, components, and concepts of ARM cores.

Text Book: 1. Steve Furber, “ARM- System on Chip- Architecture”, 2ndEdition, Pearson.

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UEI873E: DIGITAL CONTROL SYSTEMS 3 Credits (3-0-0)

Course Objectives:

1. To study the importance of sample data control system. 2. To give adequate knowledge about signal processing in digital control. 3. To introduce the design concepts of modeling of discrete systems and stability analysis of

discrete data system.

UNIT-I Signal Processing in Digital Control: Configuration of the basic digital control scheme, time-domain models for discrete-time systems, stability on the z-plane and the Jury stability criterion, sample-and-hold systems, practical aspects of choice of sampling rate. Z-domain description of sampled continuous-time plants and systems with dead-time, Implementation of digital controllers.

10 Hrs. UNIT-II Design of Digital Control Algorithms: z-plane specifications of control system design, digital compensator design using root locus plots and Bode diagrams, z-plane synthesis.

10 Hrs. UNIT-III Digital Control System Analysis in State-space: State descriptions of digital processors, state descriptions of sampled continuous-time plants, state descriptions of systems with dead-time, solution of state difference equations, controllability and observability.

10 Hrs. UNIT-IV Digital Control System with State Feedback: State regulator design, design of state observers, compensator design by separation principle, servo design, state feedback with integral control, deadbeat control by state feedback and deadbeat observers.

10 Hrs. Course Outcomes:

Students will: CO1: Configure digital control system. CO2: Describe digital control system in z-domain. CO3: Design digital control algorithms. CO4: Analyze digital control system in state space. CO5: Model digital control system. CO6: Design digital controller and apply them in real process.

Text Books: 1. M.Gopal, “Digital Control and State Variable Methods”, 3rd Edition, Tata McGraw Hill, 2009.

Reference Books: 1. Benjamin C. Kuo, “Digital Control Systems”, 4th Edition, Oxford University Press, 1992 2. K. Ogata, “Discrete-Time Control Systems”, 2nd Edition, PHI.

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UEI874E:OPTIMIZATION TECHNIQUES 3 Credits (3-0-0)

Course Objectives:

1. To explain the fundamental concepts of optimization techniques. 2. To introduce the problem and classification of optimization 3. To discuss the methods of constrained minimization.

UNIT-I Introduction to Optimization: Engineering applications of optimization, optimization problem- design vector, design constraints, constraint surface, objective function, objective function surfaces, Classification of optimization problems- based on the existence of constraints, the nature of the design variables, the physical structure of the problem, the nature of the equations involved, the permissible values of the design variables, the deterministic nature of the variables, the separability of the functions, the number of objective functions. Optimization techniques.

10 Hrs. UNIT-II Classical Optimization Techniques: Single variable optimization – Multivariable optimization with no constraints – Hessian matrix –Multivariable saddle point – Optimization with equality constraints – Lagrange multiplier method -Multivariable optimization with inequality constraints – Kuhn-Tucker conditions.

10 Hrs. UNIT-III One-dimensional Unconstrained minimization: Elimination methods – unrestricted search method – Fibonacci method – Interpolation methods –Quadratic interpolation and cubic interpolation methods.

10 Hrs. UNIT-IV Unconstrained minimization: Gradient of a function – Steepest descent method – Newton’s method – Powells method – Hooke and Jeeve’s method.

10 Hrs. Course Outcomes:

Students will: CO1: Posses the knowledge of fundamental concepts of optimization techniques. CO2: Identify engineering application of optimization. CO3: Classify optimization techniques. CO4: Identify the problem. CO5: Demonstrate constrained minimization. CO6: Demonstrate unconstrained minimization.

Text Books: 1. S.S. Rao, “Optimization theory and application”, 3rd Edition, New Age International Pvt. Ltd.

Reference Books: 1. A. D. Belegundu, T.R. Chandrupatla, “Optimization Concepts and Applications in

Engineering”, Pearson Education Asia.

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UEI881E: DATABASE MANAGEMENT SYSTEMS 3 Credits (3-0-0)

Course Objectives: 1. To highlight the concepts of database management system. 2. To give insight of data modeling, entity relationship and ER diagrams. 3. To discuss the concepts of relational data model and relational algebra and SQL.

UNIT-I Introduction: Characteristics of database approach; advantages of using DBMS approach; when not to use a DBMS. Data models, schemas and instances; Three schema architecture and data independence; Database languages and interfaces; The database system environment; Centralized and client server architectures; Classification of Database Management systems. Entity Relationship Model: Using high-level conceptual data models for database design; An example database application; Entity types, Entity sets, Attributes and Keys; Relationship types, Relationship sets, Roles and Structural constraints; Weak entity types; Refining the ER Design; ER Diagrams, Naming conventions and design issues; Relationship types of degree higher than two.

10 Hrs. UNIT-II Relational Model and Relational Database Constraints: Relational model concepts; Relational model constraints and Relational database schemas; Update operations, Transaction and dealing with constraint violations. Relational Algebra: Unary relational operations: SELECT and PROJECT Relational algebra operations from set theory; Binary relational operations: JOIN and DIVISION; Additional relational operations; Examples of queries in relational algebra; Relational database design using ER to Relational mapping.SQL: data definition and data types; Specifying basic constraints in SQL; Schema change statements in SQL; Basic queries in SQL.

10 Hrs. UNIT-III Database Design: Informal design guidelines for relation schemas; Functional dependencies; Normal forms based on primary keys; General definitions of second and third normal forms; Properties of Relational Decompositions; Algorithms for relational database Schema design.

10 Hrs. UNIT-IV Transaction Management: Introduction to transaction processing; Transaction & system concepts; Desirable properties of transactions; Characterizing schedules based on recoverability; Characterizing schedules based on serializability. Concurrency Control: Two phase locking techniques for concurrency control. CRASH recovery: Recovery concepts; Recovery techniques based on deferred update; recovery techniques based on immediate update; shadow paging; The ARIES recovery algorithm.

10 Hrs. Course Outcomes:

Students will: CO1 : Identify, analyze and define database objects, enforce integrity constraints on a database. CO2 : Analyze and develop relational models, relational algebra concepts & ER diagrams. CO3 : Demonstrate the Structured Query Language (SQL) in the design of database systems. C04 : Design and build simple real-world database systems and applications using GUI. CO5 : Implement normalization algorithms using database design theory for different applications. CO6 : Analyze and implement transaction processing, concurrency control and database recovery.

Text Books: 1. Remez Elmasri & Shamkant B. Navathe, “Fundamentals of Database Systems”, 5thEdition,

Pearson Education.

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Reference Books: 1. Ramakrishanan Gehrke, “ Database Management Systems”, 3rdEdition, McGraw Hill Higher

Education. 2. C. J. Date, “An Introduction to Data base systems”, Addision Wesley, 4th Edition.

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UEI882E:AIRCRAFT INSTRUMENTATION 3 Credits (3-0-0)

Course Objectives:

1. To describe the basics of Aircraft and instrumentation involved in aircraft systems. 2. To discuss about the measurement of various aircraft parameters.

To explain the techniques for measurement of fuel quantity and engine control instrument.

UNIT-I Introduction: Aircraft types, Components of airplane, Introduction to the aircraft instruments, Classification of aircraft instruments, Basic “T” grouping of instruments, Instrument displays, Cockpit layout. Theory of Air Data Instruments: Pneumatic type and air data computers, International standard atmosphere (ISA), Basic pneumatic air data system, Combined pitot-static probe.

10 Hrs. UNIT-II Air Data Instruments: Air speed indicator, Machmeters, Altimeters, Instantaneous vertical speed indicator. Directional Systems: Earth’s total magnetic field, Horizontal and vertical components of total field direct reading compass and its limitations, Total magnetic effect. Air Data Warning System: Mach warning system, Altitude alerts system, Airspeed warning system.

10 Hrs. UNIT-III Gyroscopic Flight Instruments: Basic mechanical gyro and its properties: Rigidity and Precision, limitations of a free gyroscope, Methods of operating gyroscopic flight instruments, Gyro horizon principle, Erection systems for gyro horizons, Direction indicator, Turn and bank indicator, Turn coordinator.

10 Hrs. UNIT-IV Engine Instruments: Pressure measurement, Temperature measurement, Capacitance type volumetric fuel quantity indicator, Densitometer, Fuel quantity indicator by weight, EPR, EGT, Integrated impellor type flow meter.

10 Hrs. Course Outcomes: Students will:

CO1: Identify and list various engineering components of an aircraft. CO2: Describe general instrumentation of aircraft. CO3: Compare the working of air data, engine and power plant instruments of an aircraft. CO4: Interpret the atmosphere for aircraft and instruments for air data, power plant, and engine of an aircraft. CO5: Distinguish the functionality of air data instruments from other instrumentation. CO6: Analyze instrumentation system of an aircraft.

Text Books: 1. EHJ Pallet, “Aircraft Instruments and Integrated Systems”, Longman Scientific &

Technical, 1992. Reference Books:

1. C A Williams, “Aircraft Instruments”,Galgotia Publications, New Delhi. 2. Bhaskar Roy, “Aircraft Propulsion”,Elsevier Publications, New Delhi.

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UEI883E: ADVANCED INDUSTRIAL AUTOMATION 3 Credits (3-0-0)

Course Objectives:

1. To impart the importance and benefits of automation 2. To make use of analog PLC for industrial automation. 3. To discuss the fundamentals of industrial buses and network topologies.

UNIT-I Advanced PLC Functions: Analog PLC operation, PID control of continuous processes Networking PLCs, Alternative programming languages, PLC auxiliary commands and functions, PLC Installation, Troubleshooting, and maintenance, Selecting a PLC. Advanced automation: Classical approaches of plant automation, Computer-based plant automation concepts, Distributed Computer Control.

10 Hrs. UNIT-II System Architecture: Evolution of hierarchical system structure, Functional levels, Database organization, System implementation concepts, Human interface. System Elements of Distributed Computer Control: Field stations, Intermediate stations, Central computer station, Monitoring and command facilities.

10 Hrs. UNIT-III Industrial Networking: Introduction, Hierarchy of Industrial networks, Network topologies, Data flow management, Transmission hardware, Network backbones, Network communication standards, Fieldbus networks, Modbus, AS-Interface, HART, Foundation Fieldbus, Profibus, NetLinx networks, DeviceNet, ControlNet. Ethernet/IP.

10 Hrs. UNIT-IV Application Development and Automation for Industry Verticals: Water and Waste Water Treatment, Cement, Pulp and paper plant, Glass making plant, Oil and gas fields.

10 Hrs. Course Outcomes:

Students will: CO1: State aims of plant automation. CO2: Identify the different levels of industrial automation. CO3: Illustrate the operations of analog PLC and differentiate between discrete and analog PLC. CO4: Compare classical and computer based approaches for plant automation. CO5: Interpret the evolution of hierarchical system architecture.

CO6: Apply the automation concepts and methods to process industries. Text Books:

1. John W. Webb,Ronald A. Reis, “Programmable Logic Controllers: Principles and Applications”, 5th Edition, PHI Publication.

2. Poppovik, Bhatkar, “Distributed Computer Control for Industrial Automation”, Dekkar Publications.

3. Terry Baltelt, “Industrial Automated Systems: Instrumentation and Motion Control”, Delmar Cengage Learning, 2011.

Reference Books: 1. S. K. Singh, “Computer Aided Process Control”, PHI Publication. 2. Garry Dunning, “Introduction to Programmable Logic Controllers”, Thomson Learning.

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UEI884E: PATTERN RECOGNITION 3 Credits (3-0-0)

Course Objectives:

1. To equip with basic mathematical and statistical techniques commonly used in pattern recognition.

2. To introduce to a variety of pattern recognition algorithms. 3. To provide a detailed overview of some advanced topics in pattern recognition.

UNIT-I Introduction: Pattern Recognition (PR) overview, pattern recognition typical system, classification, patterns & features extraction with examples, Design cycles, Training, earning and adaptation, Pattern recognition approaches. Statistical decision theory. Probability: Introduction, probability of events, random variables, joint distributions and densities, moments of random variables, estimation of parameters from samples, minimizing risk estimators. Statistical Decision Making: Introduction, Byes theorem, multiple feature, conditionally independent feature, decision boundaries, unequal costs of error, estimation of error rates the leaving one out technique, characteristic curves, estimating the composition of populations.

10 Hrs. UNIT-II Non-parametric Decision Making: Introduction, histograms kernel & window estimate or nearest neighbour classification techniques, adaptive decision boundaries. Clustering: Introduction, hierarchal clustering, partitioned clustering. Formulations of unsupervised learning problems, Clustering for Unsupervised Learning and classification

10 Hrs. UNIT-III Syntactic Pattern Recognition: Overview, quantifying structure in pattern description and recognition, grammar based approach, elements of formal grammar. Structural Recognition via Parsing and other grammars; Graphical approaches to syntPR. Learning Via Grammatical inference. Neural Pattern Recognition: Introduction to neural networks, Neural network for PR applications, Physical neural networks, Artificial neural network model. Introduction to neural pattern associates and matrix approaches and examples.

10 Hrs. UNIT-IV Feed-forward Networks and Training by Back Propagation: Introduction, Multilayer, and Feed-forward structure, Training the feed-forward network, Examples, Unsupervised Learning in NeuroPR: Hopfield approach to neural computing, Examples.

10 Hrs. Course Outcomes:

Students will: CO1: Design systems for pattern recognition. CO2: Design algorithms for pattern recognition. CO3: Interpret the classification problems. CO4: Quantify structure in pattern description and recognition. CO5: Apply parameter estimation in relatively complex probabilistic models. CO6: Apply decision making in relatively complex probabilistic models.

Text Books: 1. Earl Gose,“Pattern Recognition and Image analysis”, PHI, 2002. 2. Robert Schalkoff, “Pattern Recognition: Statistical, structural and Neural Approaches”, John

Wiley and Sons, Inc. 1992. Reference Books:

1. Richard O. Duda, Peter E. Hart, David G. Stork, “Pattern Classification”, John Wiley and Sons, Inc 2nd Edition, 2001.

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UEI891E: LASERS AND FIBER OPTICS 3 Credits (3-0-0)

Course Objectives:

1. To learn the different lasers. 2. To know the application of lasers in different fields. 3. To discuss the fundamentals of optical fibers and optical sensors.

UNIT-I Fundamentals of Lasers: Emission and absorption of radiation, Einstein relations, population inversion with 2 level, 3level and 4 level energy systems, optical feedback, line shape functions, laser losses, threshold conditions, laser modes, properties of laser light, classification of lasers, Doped Insulator Lasers: Nd:YAG laser, Ruby laser.

10 Hrs. UNIT-II Semiconductor Lasers: Basics, threshold current density for semiconductor lasers, hetero junction lasers. Gas, ion and molecular Lasers: Gas lasers: Atomic lasers- He-Ne laser, Ion laser-Argon laser, Molecular laser-CO2 laser, Liquid dye lasers, mode locking- Introduction, active & passive mode locking, Q-switching- Introduction, methods of Q-switching- Rotating mirror method, Electro-optic method, Passive method.

10Hrs. UNIT-III Optical Fibers: Introduction, fiber benefits, structure of fiber, propagation of light in fibers, principles of fiber optics, fiber specifications, types of fibers: step index fiber, graded index fiber, multimode and single mode fiber, optical fiber materials, Optical sources & Detectors: Principle & constructional details of LED. Photo diode, PIN diode, avalanche diode, and Photo transistor. (Working principles only).

10 Hrs. UNIT-IV Laser applications: Measurement of distance - Interferometric methods, beam modulation telemetry, pulse echo techniques. Holography-principle, holographic computer memory system. Optical fiber sensors: Phase and polarization fiber sensors, ring with multiturnfiber coil, optical fluid level detector, optical fiber flow sensors, optical displacement Moirefringe modulation sensors, current measurement by single mode optical fiber sensors, fluro-optic temperature sensors, photo elastic pressure sensors, laser Doppler velocimeter using optical fiber.

10Hrs. Course Outcomes:

Students will: CO1: Describe the fundamental concepts of laser and optical instruments. CO2: Define various principles of laser and optical instruments. CO3: Describe techniques employed in laser and optical instruments. CO4: Depict the applications of laser and optical instruments. CO5: Apply the governing laws and modes in laser and optical instruments. CO6: Differentiate /categorize various laser and optical instruments..

Text Books: 1. Wilson and Hawkes, “Optoelectronics: An Introduction,” 2nd Edition, Prentice-Hall of India, 2001. 2. C.K.Sarkar and D.C. Sarkar, “Optoelectronics and Fiber Optics Communication,”

New Age Int. Pub., 2004. 3. P.Sarah, I.K.,” Lasers and Optical Fiber Communications,” International Publishung

House Pvt. Ltd., 2008. Reference Books:

1. Wilson & Hawkes, “Laser Principles and Applications,” 2nd Edition, PHI. 2. Orazio Svelto, “Principles of Lasers,” 5th Edition, Springer.

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NON DESTRUCTIVE TESTING (NDT) 3 Credits (3-0-0)

Course Objectives: 1. To understand the need and roles NDT 2. To dissimilate the knowledge of different types of NDT and their principles 3. To understand and use different NDT for engineering application UNIT-I Introduction to Non Destructive Testing (NDT): NDT versus mechanical testing, Overview of NDT methods for the detection of manufacturing defects as well as material characterization. Relative merits and limitations, various physical characteristics of materials and their applications in NDT. Surface NDT methods: Liquid penetrant testing – Principles, types and properties of liquid penetrants, developers, advantages and limitations of various methods, testing procedure, interpretation of results.

10 Hrs. UNIT-II Magnetism and NDT: Magnetic particle testing- Theory of magnetism, inspection materials magnetisation methods, interpretation and evaluation of test indications, principles and methods of demagnetization, residual magnetism. Thermography and Eddy current testing: Thermography- Principles, contact and non contact inspection methods, techniques for applying liquid crystals, advantages and limitation – infrared radiation and infrared detectors, instrumentations and methods, applications. Eddy current testing- generation of Eddy currents, properties of Eddy currents, Eddy current sensing elements, probes, instrumentation, applications.

10 Hrs. UNIT-III Ultrasonic testing and acoustic emission: Ultrasonic testing-principle, transducers, transmission and pulse-echo method, straight beam and angle beam, instrumentation, data representation, A-Scan, B-scan, C-scan. Phased array ultrasound, time of flight diffraction. Acoustic emission technique –principle, parameters, applications.

10 Hrs. UNIT-IV Radiography: Principle, interaction of X-Ray with matter, imaging, film and film less techniques, types and use of filters and screens, geometric factors, inverse square law, characteristics of films – graininess, density, speed, contrast, characteristic curves, penetrameters, exposure charts, radiographic equivalence. Principle of fluoroscopy, xeroradiography, computed radiography, computed tomography.

10 Hrs. Total Hrs.: 40

Course Outcomes: Students will: CO1: Understand the need, objectives and principles of NDT CO2: Narrate the working principles of NDT CO3: Demonstrate and distinguish various NDT techniques CO4: Design for defects and characterization of industrial components CO5: Design a specific NDT tool for a given application CO6: Implement a specific NDT technique in a practical application TEXT BOOKS: 1. Baldev Raj, T. Jayakumar, M. Thavasimuthu, “Practical Non-Destructive Testing”, Narosa Publishing House, 2009. 2. Ravi Prakash, “Non-Destructive Testing Techniques”, 1st revised edition, New Age International Publishers, 2010.

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REFERENCE BOOKS: 1. ASM Metals Handbook, “Non-Destructive Evaluation and Quality Control”, American Society of Metals, Metals Park, Ohio, USA, 200, Volume-17. 2. Paul E Mix, “Introduction to Non-destructive testing: a training guide”, Wiley, 2nd Edition New Jersey, 2005. 3. Charles, J. Hellier, “Handbook of Nondestructive evaluation”, McGraw Hill, New York 2001. 4. American Society for Non Destructive Testing, Columbus, Ohio, NDT Handbook, Volume 1-7.

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INDUSTRIAL DESIGN OF ELECTRONIC EQUIPMENT 3 Credits (3-0-0)

Course Objectives: 1. To understand the various processes and systems to address human needs 2. To develop competence to create tangible electronic products 3. To follow comprehensive process of design for the production of equipment/systems UNIT-I Introduction to Industrial Design: General introduction in the course, role of industrial design in the domain of industry, product innovation, designer’s philosophy and role in product design. Product development tools and methods. Product Design Methodology: Electronic product design and development, methodology, creativity techniques, brain storming, documentation.

10 Hrs. UNIT-II Product Planning: Defining the task, scheduling the task, estimation of labor cost and amount of documentation. Ergonomics: Ergonomics of electronics electronic use of ergonomics at work places and plat layouts, ergonomics of panel design, case study.

10 Hrs. UNIT-III Aesthetics: Elements of aesthetics, aesthetics of control design. Visual Communication Techniques: Perspective, band sketching and rendering technique, elements of engineering drawing, assembly drawing part drawing, exploded views. Product Anatomy: Layout design, structure design, standard and non standard structures, Industrials standards.

10 Hrs. UNIT-IV Product Detailing: Product detailing in sheet metal and plastics for ease of assembly, maintenance and aesthetics. Product Manufacturing: Different manufacturing processes in sheet metal and plastics, product finishing, finishing methods like platting, anodization, spray painting, powder coating. Value Engineering: Introduction to marketing, graphics and packing.

10 Hrs. Total Hrs.: 40

Course Outcomes: Students will: CO1: Understand user centered design process CO2: Develop sketches, virtual/physical appearance models for electronic products CO3: Refine existing product designs CO4: Make mock-up model and working prototype along with design documentation. CO5: Design some laboratory level/ household electronic equipment CO6: Implement small scale electronic equipment/product TEXT BOOKS: 1. Peter Z., “German Design Standard,” Volume2, Reddot, 2006. 2. Clarkson P. J, Coleman R. and Keates, S., “Inclusive Design, Design for the whole population,” Springer Verlag Gmbh, 2003. REFERENCE BOOKS: 1. Jordan P. W., “Designing Pleasurable Products: An Introduction to the New Human Factors,” Taylor and Francis, 2002. 2. Otto K. and Wood K., “Product design: Techniques in Reverse Engineering and New Product Development,” Prentice Hall, 2001. 3. Cross N. “Engineering Design Methods: Strategies for Product Design”, Willey, 2000. 4. Cagan J., Vogel C. M., “Creating Breakthrough Products -Innovation from Product Planning to Program Approval,” Pearson Education, 2007. 5. Norman D. A., “The design of everyday things, Basic Books,” 2002. 6. Chakrabarty D., “Indian Anthropometric Dimensions for Ergonomic Design Practice,” NID, Ahmedabad, 1999.

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UEI894E: JAVA 3 Credits (3-0-0)

Course Objectives:

Learn fundamental features of JAVA Set up Java JDK environment to create, debug and run simple Java programs.

Create multi-threaded programs and event handling mechanismsUNIT-I Introduction to Java: Java’s magic: the Byte code; Java Development Kit (JDK); the Java Buzzwords, Object-oriented programming; Simple Java programs. Data types, variables and arrays, Operators, Control Statements

10 Hrs. UNIT-II Classes, Inheritance, Exceptions, Packages and Interfaces: Classes: Classes Fundamentals; Declaring objects; Constructors, this keyword, garbage collection. Inheritance: inheritance basics, using super, creating multi level hierarchy, method overriding. Exception handling: Exception handling in Java. Packages, Access Protection, Importing Packages, Interfaces

10 Hrs. UNIT-III Multi Threaded Programming, Event Handling: Multi Threaded Programming: What are threads? How to make the classes threadable ; Extending threads; Implementing runnable; Synchronization; Changing state of the thread; Bounded buffer problems, read- write problem, producer consumer problems. Event Handling: Two event handling mechanisms; The delegation event model; Event classes; Sources of events; Event listener interfaces; Using the delegation event model; Adapter classes; Inner classes.

10 Hrs. UNIT-IV The Applet Class: Introduction, Two types of Applets, Applet basics, Applet, Architecture, An Applet skeleton, Simple Applet display methods, Requesting repainting Using the Status Window, The HTML APPLET tag, Passing parameters to Applets getDocumentbase() and getCodebase(), ApletContext and showDocument(), The AudioClip Interface, The AppletStub Interface, Output to the Console. Swings: Swings: The origins of Swing Two key Swing features; Components and Containers, The Swing

10 Hrs. Course Outcomes: Students will:

CO1:Able to understand the basic concepts of java CO2.:Able to understand the multithreaded programming CO3:Able to analyze the exception handling CO4: Able to analyze the event handling CO5:Illustrate the concept applets . CO6: Illustrate the concept of swings

TEXT BOOKS: 1. Herbert Schildt, Java the Complete Reference, 7th Edition, Tata McGraw Hill, 2007.

REFERENCE BOOKS:

1. Rajkumar Buyya,S Thamarasi selvi, xingchen chu, Object oriented Programming with java, Tata McGraw Hill education private limited

2. Richard A Johnson, Introduction to Java Programming and OOAD, CENGAGE Learning.