course plan mtech 2014 spring

7/22/2019 Course Plan Mtech 2014 Spring

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Course and Evaluation Plans of Spring Semester 2014For M. Tech Programmes

Department of ECE

M.Tech in Electronics Design and Technology Programme

2nd Semester:

EL 530: VLSI Design

VLSI design is a course of M. Tech (ELDT) of ECE deptt at Tezpur University. It cover CMOSdesign , Basic VLSI design and CAD tools.

Objective:Sr No Topics Objective1. layered network architecture

point to point protocols andlinks:

To learn and understand OI model and

TCP/ IP and point to point link control

2. Error detection andcorrection, ARQretransmission strategy,framing,

To learn and understand different errorcorrection schemes and applications inerror and flow control in datacommuncation

3. queuing theory and delayanalysis

To learn and understand Littles theorem,analytical treatment of M/M/1 and M/M/mqueuing systems, simulation of queuingsystems, delay analysis for ARQ system,multi-access system

4. ATM, network design of aLAN system withcommercially availablefunctional units., WirelessLAN

To learn ATM and a LAN system

Prerequisites of the course:Knowledge of MOSFET modelling are required.

Course outline and lecture plan:Tentative lecture Topics

1-7 Fundamentals of CMOS & BiCMOS7-15 Stick Diagram & Lay out -rules, System Design FSM

Model, ASM Chart.

15-18 ASIC design flow18-22 Partitioning

22-25 Floor planning27-30 Placement


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30-34 Routing

34-36 Field Programmable Gate Arrays (FPGA)

Evaluation Scheme:Test No. Marks Duration DateTest I 25 30 min. 12-02-14Test II 25 30 min. 26-02-14Major I 40 1 hr. 20-03-14(AN)Test III 25 Assignment type Within 12 week: Apr.11,2014

Test IV 25 30 min. 23-04-14

Major II 60 2 hrs. 7 week days starting from May16,2014

Mini project:

For this course students must do development work related to VLSI design. They hasto give presentations and demonstration of the same

Pedagogy: Teaching-learning methods to be used: Lecture and DiscussionPresentations, Quiz,

Expected outcome:VLSI design has emerged as one of the most impact disciplines in Electronics andCommunication engg. After doing this course, students will be well known about basicAnalog , digital and mixed signal circuit design.

Text book:1. Pucknell & Eshraghian Basic VLSI Desing, PHI, 1995.2. C. K. Wong & M. Sarrafzaden An Introduction to VLSI Physical

Design, McGraw Hills International Edition, 1996

EL 532: Intelligent Instrumentation

To make the students learn about the present day technologies, signal processing and deviceson ntelligent Instrumentation(II). After learning the course the students will be able to Developschemes for intelligent devices, Design the systems, Find applications.Lesson plan:Module Topic Learning objectives1 Classical and Intelligent

sensors: DefinitionsTo give the review ofinstrumentation andbackground of II

2 Sensor and transmissionIntelligence

To give the students thedifferent types of intelligentinstrumentation schemes

3 Signal manipulationintelligence

The students will be able tolearn on - Semantictransformation, Data


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validation, Missing data anddata restoration, Decisionmaking, Derived information

4 Artificial and adaptiveIntelligence

This will include the artificialintelligence techniques

5 Intelligent SensorStandards and Protocols

Students will learn aboutdifferent protocols on II

Lecture Plan:Tentativelectures

Topics Evaluation

1-3 Classical sensors and transducers,Smart sensors, Cogent sensors, Selfadaptive sensors, VLSI-ANNsensors, MEMs , Computational

sensors, Integrated intelligentsensors (ISS), Passive and activeelements, AD and DA conversions,Micromachining sensors,Thermocouple and RTD signalprocessing-Cold junctioncompensation, Integratedcompensating ADC,

Type A, Test-IMajor-I

4-6 Realization of differentialtemperature, Temperaturecompensation in Resistive straingauge sensors- Integratedcompensating DAC, Calibration ofIC thermal sensors- Integratedcalibration and compensation inpressure sensors, Integratedoffset, gain and nonliterarycompensation.

Type A, Test-IMajor-I

7-11 Metrological intelligence-Linearization techniques, Look uptable, Piece-wise linearization,Interpolation, Progressivepolynomial, LMS curve fitting, PWM,ANN , Auto calibration- autozero andautorange, Offset nullification, Errorand drift compensation , Ambienterrors ,

Type A, Test-IIMajor-I

12-19 Circuit compensation- Dummycircuit, Mathematicalcompensation- Intelligentcompensation,Electrical/Electronics errors,Mechanical errors, Computational



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errors.

20-27 Sampling ,Digitization and ADconversion, Signal conversion,Voltage to frequency conversion,Voltage to current conversion, 4-

20mA transmitter,Capacitance/Inductance to dutycycle, Modulation, FM, PWM


28-32 Semantic transformation, Datavalidation, Missing data and datarestoration, Decision making,Derived information

Type A, Test-III Major-II

33-37 Human intelligence, Array basedsensors, Basic Sensor Metrics,Signal and image features,Prognostics diagnostics and

predictive Tracking, classificationand discrimination, Adaptive leastsquare models

Other Intelligences- Power saving,Voltage and current regulation,Reliability, Failure detection


38-40 Intelligent Sensor Standards andProtocols : IEEE 1451.1, Networkcommunication models, STIM, LonTalk TM Protocol, Integrated SAEJI850, MI bus, FieldBus,


Pedagogy:1. Lecture and discussion2. Presentation3. Quiz and class test4. Assignment5. Laboratory

Evaluation Scheme:Test No. Marks Duration DateTest I 25 30 min. 10-02-14Test II 25 30 min. 24-02-14Major I 40 1 hr. 21-03-14(FN)Test III 25 Assignment type Within 12thweek: Apr.11,2014

Test IV 25 30 min. 21-04-14



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BOOK SUGGESTED1. Intelligent Instrumentation :Principles and Application, M Bhuyan, CRC Press,

20112. Intelligent Sensors (Handbook of Sensors and Actuators) by H. Yamasaki

(Hardcover - Mar 1, 1996).3. Smart Sensors and MEMS by Sergey Y. Yurish, Maria T. S. R. Gomes, and

Maria Teresa S.R. Gomes (Paperback - May 22, 2006)4. Data Acquisition and Signal Processing for Smart Sensors by Nikolay V.Kirianaki, Sergey Y. Yurish, Nestor O. Shpak, and Vadim P. Deynega(Hardcover- April 11, 2002)

5. Understanding Smart Sensors (Artech House Sensors Library) by Randy Frank(Hardcover - April 2000)

6. Microsensors, MEMS and Smart Devices by Julian W. Gardner, Vijay Varadan,and Osama O. Awadelkarim(Hardcover - Dec 15, 2001)

EL 534: Modeling and Simulation

Modeling and Simulation is a course in digital system design and modelling and simulation of the

digital systems using hardware description language, VHDL. It covers the hardware architectureof programmable devices like PLA, PAL, CPLD, FPGA etc. The course covers the languageelements and features of VHDL.

Objective:1. Introduction - To give an introduction to Hardware Description language2. PLD - To give an overview of PLD like FPGA,CPLD and design with

PLD3. VHDL To teach modelling and simulation of digital systems using

VHDL

Prerequisites of the course: Some understanding on digital circuits and digital logic

design is required.

Course outline:Tentative lecture

1 To give an introduction to the subject2-5 PLD- PLA, PAL, FPGA, CPLD6 Introduction to VHDL language

7-8 Modelling of Digital circuits in VHDL9-11 Language elements of VHDL

12-15 Types of architecture design in VHDL16-19 Generics and Configuration20-22 Subprograms

23-24 Overloading in VHDL25-29 Advance features in VHDL30-32 Packages and libraries33-36 Example of design of digital system37-39 CPU design ( control circuit design )


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Test IV 25 30 min. 22-04-14


Pedagogy : Teaching-learning methods to be usedLecture and DiscussionPresentationsQuiz, DocumentariesLaboratory

Expected outcome: Towards the end of the course the student would be able todesign and model digital system using hardware description language, VHDL.

Text Book:1. Digital logic and computer design, M. Mano, Prentice Hall2. A VHDL Primer, J Bhaskar, Prentice Hall3. R.C. Gonzalez and R.E. Woods: Digital Image Processing, Pearson Education,

20014. A.K, Jain, Fundamentals of Digital Image Processing, Pearson Education, 19895. Technical Literature & Manuals on VHDL, HDL PALSM, ORCAD, SPICE, HLD link

etc.

EL 538: Advanced Electronic Devices

MOSFET Devices: Introduction to Long Channel devices and their mathematicalmodeling. Introduction to Short Channel devices .

Short channel Devices: Introduction to Short Channel devices and their mathematicalmodeling. Different short channel effects: drain-induced barrier lowering and punchthrough, surface scattering, velocity saturation, impact ionization, hot electrons.

Nano scale MOSFETs: Quantum effects and Single-electron charging effects in nanoscale Si-MOSFETs. Double gate and all around MOSFETs, Nano-wire MOSFETs.

Hybrid Electronic Devices: Introduction, Electrolyte-Insulator-Semiconductor(EIS)structure, Site binding Theory.

MOSFET based Bioelectronic Devices: Ion sensitive Field Effect Transistor (ISFET),Reference Field Effect Transistor (REFET), Measurement with ISFETs. Interfacing of


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Biological molecules with Electronic elements: Enzyme kinetics, Enzyme Field EffectTransistor (ENFET), Biological Field Effect transistor (BIOFET).

Modeling: Modeling for short channel effects, Nano scale devices, ISFET, ENFET andBIOFET.

Time-Plan:TentativeLecture

Topics

1-3 Unit 1: MOSFET DevicesIntroduction to Long Channel devices and their mathematicalmodeling.Introduction to Short Channel devices .

3-9 Unit 2:Short channel Devices:Introduction to Short Channel devices and their mathematicalmodeling.Different short channel effects: drain-induced barrier lowering andpunch through, surface scattering, velocity saturation, impact

ionization, hot electrons.10-18 Unit 3: Nano scale MOSFETs:

Quantum effects and Single-electron charging effects in nano scale Si-MOSFETs. Double gate and all around MOSFETs, Nano-wire MOSFETs.

19-30 Unit 4: Hybrid Electronic Devices:Introduction, Electrolyte-Insulator-Semiconductor(EIS) structure, Site bindingTheory. MOSFET based Bioelectronic Devices: Ion sensitive Field EffectTransistor (ISFET), Reference Field Effect Transistor (REFET),Measurement with ISFETs. Interfacing of Biological molecules withElectronic elements: Enzyme kinetics, Enzyme Field Effect Transistor(ENFET), Biological Field Effect transistor (BIOFET).

31-36 Unit 5: Modeling:

Modeling for short channel effects, Nano scale devices, ISFET, ENFET andBIOFET.


Test IV 25 30 min. 24-04-14


Text Books:1. Warner, MOSFET-Theory and Design, Oxford Univ. Press, 2009.2. Yu Yuan, Non-Classical Mosfets: Design, Modeling, and Characterization,

Proquest, Umi Dissertation Publishing 2012.


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3. Massimo Grattarola, Giuseppe Massobrio, Bioelectronics Handbook, MOSFETs,Biosensors & Neurons McGraw Hill

Reference Books:1. Lihui Wang, Quantum Mechanical Effects on MOSFET Scaling limit: Challengesand Opportunies for Nanoscale CMOS, Vdm Verlag, 2009.

2. Ying-Ming Huang, Micro-Scale Hybrid Biological-Engineered Devices Poweredby Biomolecular Motors, Proquest, Umi Dissertation Publishing, 2011.3. Balkanski, Advanced Electronic Technologies and Systems Based on LowDimensional Quantum Devices, Springer, 1997.

EL 516: Design of Fine mechanics and power devices

Evaluation Scheme:Test No. Marks Duration DateTest I 25 30 min. 13-02-14Test II 25 30 min. 27-02-14

Major I 40 1 hr. 19-03-14(AN)Test III 25 Assignment type Within 12 week: Apr.11,2014

Test IV 25 30 min. 24-04-14


M.Tech in Bioelectronics Programme

2nd Semester:

BE 505: Neuro-engineering

The integration of biomolecules with electronic elements to yield functional devices attractssubstantial research efforts because of the basic fundamental scientific questions and thepotential practical applications of the systems. The research field gained the buzzwordbioelectronics aimed at highlighting that the world of electronics could be cross fertilized withbiology and biotechnology. The major activities in the field of bioelectronics relate to thedevelopment of biosensors that transduce biorecognition or biocatalytic processes in the form ofelectronic signals. Neuroengineering, or more precisely Bio-neuroengineering which isinseparable part of Bioelectronics, is an interdisciplinary area, with the common goal of analyzing

the function of the nervous system, developing methods to restore damaged neurological function& creating artificial neuronal systems by integrating physical, chemical, mathematical &engineering tools. The development of artificial circuit models that simulate the behavior ofbiological neuron is one of todays most promising directions of investigation in the field ofneurobio and neuromorphic engineering.

Objective vis-a-vis Lecture Modules:Modules Topic Learning Objectives1 Introduction Biology of the neuron, Biophysical


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description of the action potential, Synapses2 Membrane Membrane transport, Membrane capacitance3 Hodgkin-Huxley (H-H) Model H-H model of membrane, Membrane

currents, Cable equation4 Myelinated Nerve Electric circuit model of myelinated nerve5 Neural modeling Linear dendritic model, Varicosities &

impulse conduction, Information processingin dendrites

6 Silicon model of neuron H-H model, synapse model, simple neuronlogic gates.

7 Neuronal networks Neuronal networks, Neural coding

Prerequisites of the course:Basic understanding of Biology, Physiology of human body and basic knowledge ofelectronics is desired but not essential.

Lecture Plan:Tentative Lecture Topics1 Introduction2-3 Biology of the neuron4-5 Biophysical description of the action potential6-8 Synapses: Chemical Synapse, Electrical circuit model of

synapse9 Membrane transport10 Membrane capacitance11-12 Hodgkin-Huxley (H-H) Model of membrane13-14 Membrane currents15-16 Cable equation17 Myelinated Nerve

18-19 Electric circuit model of myelinated nerve20-21 Neural modeling: Linear dendritic model22-23 Varicosities & impulse conduction24-25 Information processing in dendrites26-27 Silicon model of neuron: H-H model28-29 Synapse model, simple neuron logic gates30-31 Neuronal networks32-33 Neural coding

Evaluation Scheme:Test No. Marks Duration DateTest I 25 30 min. 13-02-14

Test II 25 30 min. 27-02-14Major I 40 1 hr. 19-03-14(FN)Test III 25 Assignment type Within 12thweek: Apr.11,2014

Test IV 25 30 min. 24-04-14



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Pedagogy: Class Room Lectures Presentations Seminars Assignments Group assignments

Expected outcomeAfter completing the course BE 522, student is expected to have the basic knowledge ofthe Bio-neuro-engineering and students are expected to work in the field of Bio-neuroengineering as project work or as per their interest.

Text/Reference Book1. Grattarola, M. Massobrio, G. Bioelectronics Handbook, MOSFETs, Biosensors &Neurons;(McGraw Hill)2. Nicholls, J. C. Martin, A R Wallace, B. G. From Neuron to Brain (Sinauer Associates)3. Mead, C. Analog VLSI and Neural Systems (Addison Wesley)4. Metin, A. Neural Engineering (Wiley/IEEE Press, (Vol 1-6))

BE 506: Bio medical Image Processing

BE-506 is an introductory course into the field of Biomedical Image processing for M.Tech inBioelectronics (ECE) students. It covers mainly the concepts of Biomedical image enhancement,restoration, compression, image transforms etc.

Biomedical Image enhancement: To understand the concepts of image enhancementin spatial domain which includes several gray level transformations like image negatives,log transformations etc. To introduce the concepts related to histogram processing, useof arithmetic/logical operations and use of first and second derivatives for imageenhancement.Biomedical Image restoration: To understand the concepts related to imagedegradation/restoration process using spatial filters like Inverse filter and Wiener filters.Image Transforms: To understand the concepts of unitary transforms and itsproperties, discrete Fourier transform, discrete cosine transform etc.Biomedical Image Compression: To understand the concepts of basic imagecompression, different challenges in biomedical image compression, some popularlossless and lossy compression techniques.

Prerequisites of the course: Some understanding of Signals and Systems andLinear algebra will be required.

Lecture Plan:1. Introduction to Digital images and Biomedical image processing technology:

3Hrs.2. Different problems in Bio-medical image processing: 1 Hr.3. Enhancement in spatial domain-Basic Grey level transformation like image

negative etc., Histogram processing with examples :3 Hrs.4. Image Enhancement using Arithmetic / Logical operations, Order statistics filters

with examples: 3 Hrs.


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5. Sharpening spatial filters, use of first and second derivatives for enhancementwith examples: 2 Hrs.

6. Image Degradation/ Restoration process using Spatial filters : 2 Hrs.7. Introduction to Image transforms-2D orthogonal and unitary transforms: 2 Hrs.8. Properties of unitary transforms: 2hrs.9. 1-D and 2-D DFT with example: 2 Hrs.

10. 1-Dand 2-D DCT with examples: 2 Hrs.11. DST and WHT with examples : 2 Hrs.12. Image Compression- Redundancies and introduction to information theory,

entropy with examples : 3 Hrs.13. Huffman coding and arithmetic coding with examples: 3 Hrs.14. Dictionary based Coding techniques LZ77 and LZ78 algorithms, LZW

algorithms.: 4 Hrs.15. Lossless and lossy predictive coding with examples: 3 Hrs.16. Introduction to transform coding: 1Hr.17. JPEG baseline coding standard: 2 Hrs.

Evaluation Scheme:

Test No. Marks Duration DateTest I 25 30 min. 10-02-14Test II 25 30 min. 24-02-14Major I 40 1 hr. 21-03-14(FN)Test III 25 Assignment type Within 12thweek: Apr.11,2014

Test IV 25 30 min. 21-04-14


Pedagogy:

Teaching learning methods to be usedLecture and discussionQuizPresentationLab classes

Expected outcome:Students passing this course will be proficient with the knowledge of basic concepts ofBiomedical imaging technology, enhancement, restoration and compression techniques.They will also have a basic knowledge of Image transforms, orthogonal transforms andits properties.

Text Book:1. J.D. Bronzion, Biomedical Engineering Handbook, CRC press.2. A. K. Jain, Fundamentals of Digital Image Processing, PHI3. Gonzalez and Woods, Digital Image Processing, Pearson Education.4. Khalid Sayood, Introduction to Data Compression, Morgan Kaufmann


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BE 508: BioMEMS & Nanotechnology

Microelectromechanical Systems (MEMS), an advanced product and equipment design concept,has already emerged in order to cater to the development of miniaturized products. It has becomethe preferred scenario for the next generation sophisticated products and equipment which are tobe used to meet the aspectations of micro technology. Microdevices used for analysis and

detection of biomedical and industrial reagents are under the scope of BioMEMS and findsapplications in genetic screening, antibody gene expression in transgenic cells, bio-warefareagents detection etc. Another aspect of this subject is the well known technology callednanotechnology and confines to the concepts of nanosensors, nanoarrays and nanodevices. BE508 is a broad course to provide the students detail information as far as proof of principle,concepts, design, development and applications of MEMS, BioMEMS and Nanotechnology.

Objective vis-a-vis Lecture Modules:

Modules Topic Learning Objectives1 MEMS Origin of MEMS, Microfabrication and Micromachining,

Market growth of MEMS technology, Microsensors and

Microactuators, Transduction Principles in MEMSSystem on a Chip2 BioMEMS Bio, Chemo, Micro Fluidic MEMS, Chem-Lab on a Chip,

DNA Sensors3 Nanotechnology ntroduction to Nanotechnology, Nanotechnology

Materials Carbon Nanotube (CNT), Applications of CNT4 MEMS in

AssistiveE-Nose, E-Tounge, Artificial Auditory Chips, ArtificialVision Chips, Artificial Audio/ Visual Integrated Systemsbased on Brain Information Processing.

Prerequisites of the course:Basic understanding of

1 . Elecments of Modern Biology (BT 101 of Tezpur University)2 . Electronics of 1st Year B.E. Course (EL 221 of Tezpur University)3 . Engineering Mechanics [Force Systems, Kinematics and Dynamics] (ME 102 ofTezpur University

Lecture Plan:Tentitive Lecture Topics1 Introduction to MEMS2,3 MEMS Sensor, MEMS Actuators4,5 MEMS Sensing Principles6,7 MEMS Actuation Principles8 Intelligent sensors using MEMS

9,10 Micro pump11 Micro cantilever beam12 DNA Biosensors13,14 Lab-on-a chip15 Nanosensors16,17 Nanodevices18,19 E-Nose20 E-tongue


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21 Artificial Auditory Chips22 Artificial Vision Chips23,24 Artificial audio/ visual integrated systems based on brain

information processing25 An advanced Application of Modern Technology: da-Vinci System

Following Assigments are suggested for Spring 2013. Students may choose any onefrom each category: Assignment-I and Assignment-II according to their interest with priordiscussion.

Assignment-I1. Simulation of Pull in Effect in MEMS capacitor using MATLab GUI.2. Closed loop Speed Control of a DC motor using GUI in MatLAB through parallel port.

Assignment-II1. Brain-controlled switch that is activated by signals measured directly from anindividuals brain.2. Detection of Eye Blink Artifact in EEG signals.3. Detection of alpha, beta, delta, and theta rhythms in the EEG signal.

Pedagogy:Class Room LecturesPresentationsDiscussion on Assignments

Evaluation Scheme:Test No. Marks Duration DateTest I 25 30 min. 11-02-14Test II 25 30 min. 25-02-14

Major I 40 1 hr. 19-03-14(AN)Test III 25 Assignment type Within 12thweek: Apr.11,2014

Test IV 25 30 min. 22-04-14


Expected outcome:After completing the course BE 508, student is expected to have the basic knowledge ofthe advanced product and equipment design concept, design, development andapplications of MEMS, BioMEMS and Nanotechnology.

Text BookN. P. Mahalik. MEMS. Tata McGraw Hill, 2008.

BE 518: Bioelectronics system & control

BE510 is a course into the field of control system engineering applied to bioelectronic system. Itcovers basic control system engineering theory , neural network and fuzzy logic control andapplication of this theory to bioelectronic system.


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Objective:What the course seeks to do1. To give an introduction to basic control system engineering principles.2. To give an introduction to fuzzy logic control theory.3. To give an introduction to application of control system theory to bio-

electronic system.

Prerequisites of the course:Some understanding of mathematical modelling

Course outlineTentative lecture

1 To give an introduction to the subject2-4 Control system types and representation5-7 Mathematics of Control system theory

( system model, Laplace transform, Transferfunction etc.. )

8-12 Analysis of Control system (Dynamic

Response, Error and stability of controlsystem )

13-14 Design and simulation of controllers

15-16 Bode design and Nonlinear controlSystem

17-26 Fuzzy control theory and systems

27-30 Neural networks and bioelectroniccontrol systems

31-32 Bioelectronic systems

33-37 Some examples of Control theoryapplied to bioelectronicsystem modelling and analysis

Evaluation Scheme:Test No. Marks Duration DateTest I 25 30 min. 07-02-14Test II 25 30 min. 21-02-14Major I 40 1 hr. 20-03-14(AN)Test III 25 Assignment type Within 12 week: Apr.11,2014

Test IV 25 30 min. 21-04-14


Pedagogy :Teaching-learning methods to be usedviz. Lecture and Discussion


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PresentationsQuiz, DocumentariesEvaluation plan

Expected outcome: Towards the end of the course the student would be able todesign, model and analyse control system in bioelectronic system.

Text/ Reference Books:1. Biosensors and Environmental Monitoring; Author: U Bilitewski,A Turner;

Publisher:Taylor and Francis.2. Introduction to Bioanalytical Sensors; Author: A J Cunningham, Publisher:

Wiley Interscience.3. Automatic Control System;Author: B.C. Kuo;Publisher:TMH4. Introduction To Modern Control Systems; Author: K. Ogata; Publisher:PHI.5. BioPhysics; Author: R Glaser; Publisher:Springr.6. Bioelectronic Measurements, Author: Michaels, Dean A, Demarre, Publisher:

Prentice Hall.7. Physiological Control Systems: Analysis, Simulation, and Estimation, Author:

Michael C. K. Khoo, Publisher:Wiley-IEEE Press

BE 524: Advanced Bioelectronic Devices

Metal - Oxide - Semiconductor (MOS):MOS Structure, Modes of operation, Metal OxideSemiconductor Field effect Transistor (MOSFET).

Electrolyte Insulator Semiconductor (EIS): EIS Structure, Site binding Theory,Electrical double layer theory.

MOSFET Based Bioelectronic devices: Biosensor overview, Ion Sensitive Field Effect

Transistor (ISFET), Enzyme Field Effect Transistor (ENFET), Chemical Field EffectTransistor (CHEMFET), Reference Field Effect Transistor (REFET), Immune Field EffectTransistor (IMFET), Organic Thin Film Transistor (TFT), Cell-Based Biosensors &Sensors of Cell Metabolism, Light Addressable Potentiometric Sensors (LAPS);Interfacing of Biological Systems with electronic systems, non-conventional bioelectronicdevices, conducting polymer based ISFET.

Modeling & Simulation: SPICE and Electrochemical models of ISFET & CHEMFET.

Time-Plan:TentativeLecture

Topics

1-5 Unit 1: Metal - Oxide - Semiconductor (MOS): MOS Structure, Modes ofoperation, Metal Oxide Semiconductor Field effect Transistor (MOSFET).

6-8 Unit 2: Electrolyte Insulator Semiconductor (EIS): EIS Structure, Sitebinding Theory, Electrical double layer theory.

9-25 Unit 3: MOSFET Based Bioelectronic devicesBiosensor overview, Ion Sensitive Field Effect Transistor (ISFET), EnzymeField Effect Transistor (ENFET), Chemical Field Effect Transistor(CHEMFET), Reference Field Effect Transistor (REFET), Immune Field


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Effect Transistor (IMFET), Organic Thin Film Transistor (TFT), Cell-BasedBiosensors & Sensors of Cell Metabolism, Light Addressable PotentiometricSensors (LAPS); Interfacing of Biological Systems with electronic systems,non-conventional bioelectronic devices, conducting polymer based ISFET.

26-30 Unit 4: Modeling & SimulationSPICE and Electrochemical models of ISFET & CHEMFET.

Evaluation Scheme:Test No. Marks Duration DateTest I 25 30 min. 12-02-14Test II 25 30 min. 26-02-14Major I 40 1 hr. 20-03-14(FN)Test III 25 Assignment type Within 12 week: Apr.11,2014

Test IV 25 30 min. 23-04-14


Text/ Reference Books:

1. Bioelectronics Handbook, MOSFETs, Biosensors,& Neurons, Author: MassimoGrattarola, Giuseppe Massobrio, Publisher:McGraw Hill.

2. Advanced Semiconductor and Organic Nanotechnology; Author: H. Markov ,Publisher:Academic Press

3. Biomaterial Science , Author: Ruddy Ratner, Publisher:Academic Press.4. Biomedical Engineering Handbook, Author: J.D. Bronzion, Publisher: CRC

press.5. Commercial Biosensors: Applications to Clinical,Bioprocess and Environmental

Samples, Author: G. Ramsa, Publisher:Wiley-Interscience.6. Introduction to bioanalytical sensors , Author: A.J.Cunningham, Publisher:

Wiley Interscience.7. Biosensors in Environmental Monitoring, Author: U.Bilitewski,A.Turner;

Publisher:Taylor Francis.8. Biochip Technology;Author: J Cheng,L Kricka; Publisher:Taylor and Francis.9. BioPhysics; Author: R Glaser; Publisher:Springr

course plan mtech 2014 spring

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