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Department of Applied Electronics &

Instrumentation

DEPARTMENT OF APPLIED ELECTRONICS & INSTRUMENTATION

COURSE HANDOUT: S8 Page 2

RSET VISION

RSET MISSION

To evolve into a premier technological and research institution,

moulding eminent professionals with creative minds, innovative

ideas and sound practical skill, and to shape a future where

technology works for the enrichment of mankind.

To impart state-of-the-art knowledge to individuals in various

technological disciplines and to inculcate in them a high degree of

social consciousness and human values, thereby enabling them to

face the challenges of life with courage and conviction.

DEPARTMENT OF APPLIED ELECTRONICS & INSTRUMENTATION

COURSE HANDOUT: S8 Page 3

DEPARTMENT VISION

DEPARTMENT MISSION

Facilitate comprehensive knowledge transfer with latest

theoretical and practical concepts, developing good relationship

with industrial, academic and research institutions thereby

moulding competent professionals with social commitment.

To evolve into a centre of academic excellence, developing

professionals in the field of electronics and instrumentation to

excel in academia and industry.

DEPARTMENT OF APPLIED ELECTRONICS & INSTRUMENTATION

COURSE HANDOUT: S8 Page 4

PROGRAMME EDUCATIONAL OBJECTIVES

PROGRAMME OUTCOMES

PEOI: Graduates will have the fundamental and advanced knowledge in mathematics, science, electronics, instrumentation and allied engineering.

PEOII: Graduates shall pursue higher studies, or take up engineering profession in design and development or take up engineering research assignments.

PEOIII: Graduates will be conscious of the need for environment friendly engineering solutions and will be equipped with positive attitude, to help them to acquire leadership qualities as well as team spirit and get adapted to the current industrial scenario.

a) Students will be capable of applying the knowledge of mathematics,

science and engineering in the field of electronics and instrumentation

engineering.

b) Students will have the ability to design and conduct experiments, analyze

and interpret data in electronics and instrumentation engineering.

c) Students will have the ability to design electronics and instrumentation

system components or processes to meet desired needs within realistic

constraints such as health and safety, economic, environmental and

societal considerations.

d) Students will be able to work individually as well as in multidisciplinary

teams, as a member or as a leader, to accomplish the common goal.

e)

DEPARTMENT OF APPLIED ELECTRONICS & INSTRUMENTATION

COURSE HANDOUT: S8 Page 5

e) Students will be able to identify, analyze, formulate and solve engineering

problems.

f) Students will be capable of applying the knowledge of mathematics,

science and engineering in the field of electronics and instrumentation

engineering.

g) Students will have the ability to design and conduct experiments, analyze

and interpret data in electronics and instrumentation engineering.

h) Students will have the ability to design electronics and instrumentation

system components or processes to meet desired needs within realistic

constraints such as health and safety, economic, environmental and

societal considerations.

i) Students will be able to work individually as well as in multidisciplinary

teams, as a member or as a leader, to accomplish the common goal.

j) Students will be aware of the contemporary issues, which help them to

integrate advanced and sustainable solutions into the user environment.

k) Students will demonstrate skills to use modern engineering tools,

software and equipment to analyze and model complex engineering

solutions.

l) Students will demonstrate knowledge and understanding of the

management principles to estimate the requirements and to manage

projects in multidisciplinary environments.

m) Students will excel in competitive examinations like GATE, GRE and

Engineering Services Examination.

DEPARTMENT OF APPLIED ELECTRONICS & INSTRUMENTATION

COURSE HANDOUT: S8 Page 6

INDEX

1. SEMESTER PLAN 2. ASSIGNMENT SCHEDULE 3. SCHEME 4. AI010 801:INSTRUMENTATION SYSTEM DESIGN 4.1. COURSE INFORMATION SHEET 4.2. COURSE PLAN

5. AI010 802: INSTRUMENTATION IN PROCESS INDUSTRIES 5.1. COURSE INFORMATION SHEET 5.2. COURSE PLAN

6. AI010 803: COMPUTER NETWORKS 6.1. COURSE INFORMATION SHEET 6.2. COURSE PLAN

7. AI010 804 L01:NEURAL NETWORKS 7.1. COURSE INFORMATION SHEET 7.2. COURSE PLAN

8. AI010 804 L04: ARTIFICIAL INTELLIGENCE 8.1. COURSE INFORMATION SHEET 8.2. COURSE PLAN

9. AI010 805:INDUSTRIAL POLLUTION CONTROL 9.1. COURSE INFORMATION SHEET 9.2. COURSE PLAN

10. AI010 806: PROCESS CONTROL LAB 10.1. COURSE INFORMATION SHEET 10.2. COURSE PLAN

DEPARTMENT OF APPLIED ELECTRONICS & INSTRUMENTATION

COURSE HANDOUT: S8 Page 7

SEMESTER PLAN

DEPARTMENT OF APPLIED ELECTRONICS & INSTRUMENTATION

COURSE HANDOUT: S8 Page 8

ASSIGNMENT SCHEDULE

Week 5 AI010 801:INSTRUMENTATION SYSTEM DESIGN Week 5 AI010 802: INSTRUMENTATION IN PROCESS INDUSTRIES Week 6 AI010 803: COMPUTER NETWORKS Week 6 AI010 804 L01:NEURAL NETWORKS Week 6 AI010 804 L04: ARTIFICIAL INTELLIGENCE Week 7 AI010 805:INDUSTRIAL POLLUTION CONTROL

Week 10 AI010 801: INSTRUMENTATION SYSTEM DESIGN Week 10 AI010 802: INSTRUMENTATION IN PROCESS INDUSTRIES Week 11 AI010 803: COMPUTER NETWORKS Week 11 AI010 804 L01:NEURAL NETWORKS Week 11 AI010 804 L04: ARTIFICIAL INTELLIGENCE Week 12 AI010 805:INDUSTRIAL POLLUTION CONTROL

DEPARTMENT OF APPLIED ELECTRONICS & INSTRUMENTATION

COURSE HANDOUT: S8 Page 9

SCHEME

AI010 801 INSTRUMENTATION SYSTEM DESIGN S8AEI

COURSE HANDOUT: S8 Page 10

COURSE INFORMATION SHEET

PROGRAMME: APPLIED ELECTRONICS &

INSTRUMENTATION

DEGREE: BTECH

COURSE: : INSTRUMENTATION SYSTEM

DESIGN

SEMESTER: 8 CREDITS: 4

COURSE CODE: AI010 801

REGULATION: 2010

COURSE TYPE: CORE

COURSE

AREA/DOMAIN:INSTRUMENTATION

CONTACT HOURS: 3+2 (Tutorial)

hours/Week.

CORRESPONDING LAB COURSE CODE (IF

ANY): NIL

LAB COURSE NAME:NA

SYLLABUS:

UNIT DETAILS HOURS

I Sensing element : Elastic sensing elements - Cantilever and torque elements, Pillar load cell, Strain gauge accelerometer- Inductive push pull displacement sensor -Capacitive level sensor .Signal conditioning element :Design of resistive and reactive bridges for sensors. Design of the bridge Circuit for RTD- Design of reference junction compensation for thermocouple.- Linearising techniques for thermocouple and thermistor- Design of charge amplifier-Instrumentation amplifier. A.C. carrier systems.- Lock in amplifier.

9

II Current transmitters-Concept of 2 and 4 wire transmitters with 4-20mA

output- Open loop and closed loop current transmitters. Smart

transmitters- Future trends in intelligent devices- Design of pneumatic

and electronic PID controllers-Design of ON-OFF controllers with neutral

zone -Design of instrumentation servo mechanism- Design of

annunciators - Low level and high level annunciators.- Enunciators

9

III Orifice meter- Design of orifice for a given flow condition for compressible and incompressible fluids -Design of rotameter- Design of venturi meter- Bourdon gauges-Factors affecting sensitivity- Design of bourdon tubes- Design of square root extractors for variable head flow meters.

9

IV Piping and instrumentation diagrams – ISA symbols – Process and instrumentation (PI)diagram of typical process plant – Preparation of instrumentation project – Documents to be produced- Process flow sheet – mechanical flow sheets- Instrument index sheet – Instrument specification sheet – Process information required- process information – Bid documents – project procedures – Project schedule – Vendor drawings – Work coordination – Project manager – process engineer – Equipment engineer – Job execution – planning hints- scheduling- Project checklist – equipment delivery - Conclusion Instrument specification sheet for pressure – Choice of temperature – flow – level – analytical instruments and control panels.

9

V Signals and noise in instrument systems – Statistical representation – pdf 9

AI010 801 INSTRUMENTATION SYSTEM DESIGN S8AEI

COURSE HANDOUT: S8 Page 11

– psd – Auto correlation function – Effects of noise and interference – Series and common mode – Noise sources and coupling mechanisms – Multiple earths – Methods of reduction of noise – Shielding – Screening – Filtering – Modulation – Averaging – Auto correlation.

TOTAL HOURS 45

TEXT/REFERENCE BOOKS:

T/R BOOK TITLE/AUTHORS/PUBLICATION

T1 John P. Bentley : Principles of measurement systems, Longman 1983

T2 Johnson C.D: Process control instrumentation technology, 4/e, PHI, 1995

T3 D. Patranabis : Principles of Industrial Instrumentation, Tata McGraw Hill Publishing Ltd. New Delhi, 1999

T4 Sheingold D. H.: Transducer interfacing hand book – a guide to analog signal conditioning, analog devices Incmasschusetts, 1980.

T5 Anderson N. A. : Instrumentation for process measurement and control :Chilton book company 1980.

T6 Andrew W.: Applied Instrumentation in process Industries; Vol. II. Gulf publications, 1990.

T7 Doebelin E. O., Measurement systems applications and design, McGraw Hill, 1975.

T8 Tattamangalam R. Padmanabhan : Industrial Instrumentation Principles and Design, Springer International

T9 E. Radhakrishnan : Instrumentation, measurements and Experiments in Fluids, Boca Raton, FL : CRC Press

COURSE PRE-REQUISITES:

C.CODE COURSE NAME DESCRIPTION SEM

AI 010

601

Process Control

Instrumentation

To have a basic idea about

instrumentation systems

S6

COURSE OBJECTIVES:

1 Design of instrumentation systems for various applications

2 Design of electronic and pneumatic controllers

3 Piping and instrumentation diagrams

4 Procedures for the preparation of an instrumentation project

5 Noise and noise reduction techniques in measurement

COURSE OUTCOMES:

SNO DESCRIPTION PO

MAPPING

1 Graduates will be able to maintain a process control system a, h, e

2 Graduates will be able to design a process control system c

3 Graduates will be able to do projects in process control industry a, h, f

4 Graduate can become consultants to small scale industries e

5 Graduates will be able to contribute to professional society and

standards

g

AI010 801 INSTRUMENTATION SYSTEM DESIGN S8AEI

COURSE HANDOUT: S8 Page 12

GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS:

SNO DESCRIPTION PROPOSED

ACTIONS

1 Documentation details internship

in

industries

2 Safety instrumented systems Industrial

visit PROPOSED ACTIONS: TOPICS BEYOND SYLLABUS/ASSIGNMENT/INDUSTRY VISIT/GUEST LECTURER/NPTEL ETC

TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN:

1 Hazardous area classification

2 Cable schedule, loop diagrams, and itergraph software

WEB SOURCE REFERENCES:

1 www.engineering toolbox.com

2 www.IEC.org

3 www.ISA .org

4 www.controlengineering.com

5 www.plantwebunversity.com

DELIVERY/INSTRUCTIONAL METHODOLOGIES:

☐ CHALK & TALK ☐ STUD. ASSIGNMENT ☐ WEB RESOURCES

☐ LCD/SMART

BOARDS

☐ STUD. SEMINARS ☐ ADD-ON COURSES

ASSESSMENT METHODOLOGIES-DIRECT

☐ ASSIGNMENTS ☐ STUD.

SEMINARS

☐ TESTS/MODEL

EXAMS

☐ UNIV.

EXAMINATION

☐ STUD. LAB

PRACTICES

☐ STUD. VIVA ☐ MINI/MAJOR

PROJECTS

☐ CERTIFICATIONS

☐ ADD-ON

COURSES

☐ OTHERS

AI010 801 INSTRUMENTATION SYSTEM DESIGN S8AEI

COURSE HANDOUT: S8 Page 13

ASSESSMENT METHODOLOGIES-INDIRECT

☐ ASSESSMENT OF COURSE OUTCOMES (BY

FEEDBACK, ONCE)

☐ STUDENT FEEDBACK ON FACULTY

(TWICE)

☐ ASSESSMENT OF MINI/MAJOR PROJECTS

BY EXT. EXPERTS

☐ OTHERS

Prepared by Approved by

Ms. Mary Hexy Ms. Liza Annie Joseph

(Faculty) (HOD)

AI010 801 INSTRUMENTATION SYSTEM DESIGN S8AEI

COURSE HANDOUT: S8 Page 14

COURSE PLAN

Module 1

Sl. No. Topic No. of lecture hours Reference Books

1 Introduction Instrumentation System

Design 1

1. John P. Bentley : Principles of

measurement systems

2. Sheingold D. H.: Transducer

interfacing hand book – a

guide to analog signal

conditioning.

2 Sensing element : Elastic sensing

elements, Cantilever and torque

elements

1

3 Pillar load cell, Strain gauge

accelerometer. 1

4 Inductive push pull displacement

sensor, Capacitive level sensor. 1

5 Signal conditioning element: Design

of resistive and reactive bridges for

sensors.

1

6 Design of the bridge Circuit for RTD. 1

7 Design of reference junction

compensation for thermocouple 1

8 Linearizing techniques for

thermocouple and thermistor. 1

9 Design of charge amplifier-

Instrumentation amplifier, A.C. carrier

systems.- Lock in amplifier

1

Total hours : 9

AI010 801 INSTRUMENTATION SYSTEM DESIGN S8AEI

COURSE HANDOUT: S8 Page 15

Module 2

Module 3

Sl. No. Topic No. of lecture hours Reference Books

1 Current transmitters -Concept of 2 and

4 wire transmitters with 4-20mA

output

1

1. John P. Bentley : Principles of

measurement systems

2. Sheingold D. H.: Transducer

interfacing hand book – a

guide to analog signal

conditioning.

2 Open loop and closed loop current

transmitters. 1

3 Smart transmitters. 1

4 Future trends in intelligent devices. 1

5 Design of pneumatic and electronic

PID controllers. 1

6 Design of ON-OFF controllers with

neutral zone. 1

7 Design of instrumentation servo

mechanism. 1

8 Design of annunciators, Low level and

high level annunciators, Enunciators. 1

Total hours : 9

Sl. No. Topic No. of lecture hours Reference Books

1 Orifice meter- Design of orifice for a

given flow condition for compressible

and incompressible fluids

2 1. Tattamangalam R.

Padmanabhan : Industrial

Instrumentation Principles

and Design

2. Sheingold D. H.: Transducer

interfacing hand book – a

guide to analog signal

conditioning.

2 Design of rotameter. 2

3 Design of venturi meter 2

4 Design of Bourdon gauges-Factors

affecting sensitivity. 1

AI010 801 INSTRUMENTATION SYSTEM DESIGN S8AEI

COURSE HANDOUT: S8 Page 16

Module 4

5 Design of bourdon tubes 1

6 Design of square root extractors for

variable head flow meters 1

Total hours : 9

Sl. No. Topic No. of lecture hours Reference Books

1 Piping and instrumentation diagrams,

ISA symbols. 1

1. Anderson N A:

Instrumentation for

process measurement and

control

2

Process and instrumentation

(PI)diagram of typical process plant,

Preparation of instrumentation

project.

1

3 Documents to be produced, Process

flow sheet. 1

4 Mechanical flow sheets, Instrument

index sheet. 1

5 Instrument specification sheet Process

information required. 1

6 Process information, Bid documents 1

7 Project procedures, Project schedule. 1

8 Vendor drawings, Work coordination. 1

9 Project manager, process engineer,

Equipment engineer. 1

10 Job execution, planning hints,

scheduling 1

11 Project checklist, equipment delivery. 1

12 Conclusion Instrument specification

1

AI010 801 INSTRUMENTATION SYSTEM DESIGN S8AEI

COURSE HANDOUT: S8 Page 17

Module 5

sheet for pressure.

13 Choice of temperature, flow, level

analytical instruments and control

panels

1

Total hours : 13

Sl. No. Topic No. of lecture hours Reference Books

1 Signals and noise in instrument

systems – Statistical representation,

pdf, psd

2

1. Tattamangalam R.

Padmanabhan : Industrial

Instrumentation Principles

and Design.

2. Sheingold D. H.: Transducer

interfacing hand book – a

guide to analog signal

conditioning

2 Auto correlation function, Effects of

noise and interference 2

3 Series and common mode, Noise

sources and coupling mechanisms 1

4 Multiple earths, Methods of reduction

of noise. 1

5 Shielding, Screening, And Filtering. 2

6 Modulation, Averaging, Auto

correlation 1

Total hours : 9

AI010 802 INSTRUMENTATION IN PROCESS INDUSTRIES S8AEI

COURSE HANDOUT: S8 Page 18

COURSE INFORMATION SHEET

PROGRAMME: APPLIED ELECTRONICS &

INSTRUMENTATION

DEGREE: BTECH

COURSE: : INSTRUMENTATION IN PROCESS

INDUSTRIES

SEMESTER: 8 CREDITS: 4

COURSE CODE: AI010 802

REGULATION: 2010

COURSE TYPE: CORE

COURSE

AREA/DOMAIN:INSTRUMENTATION

CONTACT HOURS: 2+2 (Tutorial)

hours/Week.

CORRESPONDING LAB COURSE CODE (IF

ANY): NIL

LAB COURSE NAME:NA

SYLLABUS:

UNIT DETAILS HOURS

I Basic concepts and principles of commonly used unit operations – Reactors – batch reactors – distillation towers – refrigeration units – steam boilers – furnaces – dryers – crystallizers – centrifuges – heat exchangers – pumps – compressors – evaporators – extruders.

9

II Instrumentation in the Food industry : Description of the process –

Measurement hardware in the food industries – Analyzers in the food

industry – Valves and feeders in the food industry – Controllers and

displays in the food industry – Computer applications in the food

industry – Typical control systems in the food industry.

9

III Instrumentation in the iron and steel industry: Description of the process – Measurement hardware – analyzers – valves - Controllers and displays in the iron and steel industry – Computer applications in the iron and steel industry – Typical control systems in the iron and steel industry

8

IV Instrumentation in the Paper industry : Description of the process – Measurement hardware in the Paper industry – Analyzers in the Paper industry – Valves and feeders in the Paper industry – Controllers and displays in the Paper industry – Computer applications in the Paper industry – Typical control systems in the Paper industry. Instrumentation in the Nuclear industry: Description of the process- Measurement hardware in the nuclear industry – Analysers in the nuclear industry – Valves and control rodes in the nuclear industry – Control panels and displays – Computer applications – Typical control system.

10

V Instrumentation in the pharmaceutical industry : Description of the process – Measurement hardware in the pharmaceutical industry – Analyzers in the pharmaceutical industry – Valves and feeders in the pharmaceutical industry – Controllers and displays in the pharmaceutical industry – Computer applications in the pharmaceutical industry – Typical control systems in the pharmaceutical industry.

9

TOTAL HOURS 45

AI010 802 INSTRUMENTATION IN PROCESS INDUSTRIES S8AEI

COURSE HANDOUT: S8 Page 19

TEXT/REFERENCE BOOKS:

T/R BOOK TITLE/AUTHORS/PUBLICATION

T1 Instrumentation in the Processing Industries , Bela G Liptak (ed.), Chilton Book Company

R1 Unit operation in chemical Engg. McCabe Smith 4/e Mcgrans Hill

R2 Chemical reaction Engineering O levenspielJ. Wiley & sons

R3 Chemical Engineering Hand book Peiry, McGrans Hill

R4 Outline Chemical Technology M GopalRao&M Sitting 3/E East West 1973

COURSE PRE-REQUISITES:

C.CODE COURSE NAME DESCRIPTION SEM

AI 010

705

Industrial

Instrumentation-II

To understand the different

meters in the industry

S7

AI 010

603

Industrial

Instrumentation-I

To know the use of different

instrument in the industry

S6

COURSE OBJECTIVES:

1 To give a basic knowledge about unit operations

2 To provide exposure to the process and instrumentation applications in different industries

COURSE OUTCOMES:

SNO DESCRIPTION PO

MAPPING

1 Graduates will be able to understand the basic principles and concepts of commonly used unit operations in the process industry.

c, d, e, g, j,

k, l, m

2 Graduates will be able to Analyze the overall instrumentation in a food industry.

d, e, i, j, k,

l, m

3 Graduates will be able to model the overall instrumentation systems used in iron and steel industry.

c, d, e, k

4 Graduates will be able to get a general idea about paper and nuclear industry.

e, i, j, k, l,

m

5 Graduates will be able to design multidisciplinary instrumentation

systems used in pharmaceutical industry

c, d, i, j, k,

l, m

GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS:

SNO DESCRIPTION PROPOSED

ACTIONS

1 P & I diagrams basics Assignments PROPOSED ACTIONS: TOPICS BEYOND SYLLABUS/ASSIGNMENT/INDUSTRY VISIT/GUEST LECTURER/NPTEL ETC

TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN:

1 PLC and SCADA Exercises

AI010 802 INSTRUMENTATION IN PROCESS INDUSTRIES S8AEI

COURSE HANDOUT: S8 Page 20

WEB SOURCE REFERENCES:

1 http://www.gobookee.org/search.php?q=instrumentation+in+processing+industrie

s+liptak

2 http://nptel.iitm.ac.in/syllabus/syllabus_pdf/103105064.pdf

DELIVERY/INSTRUCTIONAL METHODOLOGIES:

☐ CHALK & TALK ☐ STUD. ASSIGNMENT ☐ WEB RESOURCES

☐ LCD/SMART

BOARDS

☐ STUD. SEMINARS ☐ ADD-ON COURSES

ASSESSMENT METHODOLOGIES-DIRECT

☐ ASSIGNMENTS ☐ STUD.

SEMINARS

☐ TESTS/MODEL

EXAMS

☐ UNIV.

EXAMINATION

☐ STUD. LAB

PRACTICES

☐ STUD. VIVA ☐ MINI/MAJOR

PROJECTS

☐ CERTIFICATIONS

☐ ADD-ON

COURSES

☐ OTHERS

ASSESSMENT METHODOLOGIES-INDIRECT

☐ ASSESSMENT OF COURSE OUTCOMES (BY

FEEDBACK, ONCE)

☐ STUDENT FEEDBACK ON FACULTY

(TWICE)

☐ ASSESSMENT OF MINI/MAJOR PROJECTS

BY EXT. EXPERTS

☐ OTHERS

Prepared by Approved by

Ms. Priya S. Ms. Liza Annie Joseph

(Faculty) (HOD)

AI010 802 INSTRUMENTATION IN PROCESS INDUSTRIES S8AEI

COURSE HANDOUT: S8 Page 21

COURSE PLAN

Module 1

Module 2

Sl. No. Topic No. of lecture hours Reference Books

1 Introduction 1

1. George Stephenopoulos:

Chemical Process Control,.

2. Instrumentation in the

Processing Industries ,Bela

G Liptak (ed.), Chilton Book

Company .

3. Unit operation in chemical

Engg. McCabe Smith 4/e

McgrawsHill

2

Basic concepts and principles of

commonly used unit operations –

Reactors – batch reactors –distillation

towers

2

3 Refrigeration units – steam boilers –

furnaces 1

4 Dryers – crystallizers – centrifuges –

heat exchangers 2

5 Pumps – compressors – evaporators 2

6 Extruders 1

Total hours : 9

Sl. No. Topic No. of lecture hours Reference Books

1 Description of the process in the food

industries 1

1. Instrumentation in the

Processing Industries , Bela

G Liptak (ed.), Chilton Book

Company

2. Unit operation in chemical

Engg. McCabe Smith 4/e

Mcgraws Hill

2 Measurement hardware in the food

industries 2

3 Analyzers in the food industry 1

4 Valves and feeders in the food industry 2

5 Controllers and displays in the food

industry 1

6 Computer applications in the food

industry 1

AI010 802 INSTRUMENTATION IN PROCESS INDUSTRIES S8AEI

COURSE HANDOUT: S8 Page 22

Module 3

Module 4

7 Typical control systems in the food

industry 1

Total hours : 9

Sl. No. Topic No. of lecture hours Reference Books

1 Description of the process in the iron

and steel industry 1

1. Instrumentation in the

Processing Industries , Bela

G Liptak (ed.), Chilton Book

Company

2. Unit operation in chemical

Engg. McCabe Smith 4/e

Mcgraws Hill

2 Measurement hardware -analyzers –

valves in the iron and steel industry 2

3 Controllers and displays in the iron

and steel industry 2

4 Computer applications in the iron and

steel industry 2

5 Typical control systems in the iron and

steel industry 1

Total hours : 8

Sl. No. Topic No. of lecture hours Reference Books

1 Description of the process in food

industry 1

1. Instrumentation in the

Processing Industries , Bela

G Liptak (ed.), Chilton Book

Company

2. Unit operation in chemical

Engg. McCabe Smith 4/e

Mcgraws Hill

2 Measurement hardware in the Paper

industry 1

3 Analyzers in the Paper industry –

Valves and feeders in the Paper

industry 1

4 Controllers and displays in the Paper

industry 1

5 Computer applications in the Paper 1

AI010 802 INSTRUMENTATION IN PROCESS INDUSTRIES S8AEI

COURSE HANDOUT: S8 Page 23

Module 5

industry

6 Typical control systems in the Paper

industry. 1

7 Description of the process in the

Nuclear industry 1

8 Measurement hardware in the nuclear

industry 1

9 Analyzers Valves and control in the

nuclear industry 1

10 Control panels and displays –

Computer applications. Typical

control system 1

Total hours : 10

Sl. No. Topic No. of lecture hours Reference Books

1 Description of the process in the

pharmaceutical industry 1

1. Instrumentation in the

Processing Industries , Bela

G Liptak (ed.), Chilton Book

Company

2. Unit operation in chemical

Engg. McCabe Smith 4/e

Mcgraws Hill

2 Measurement hardware in the

pharmaceutical industry 2

3 Analyzers in the pharmaceutical

industry Valves and feeders in the

pharmaceutical industry

1

4 Controllers and displays in the

pharmaceutical industry 1

5 Computer applications in the

pharmaceutical industry 1

6 Typical control systems in the

Pharmaceutical industry 2

Total hours : 8

AI010 803 COMPUTER NETWORKS S8AEI

COURSE HANDOUT: S8 Page 24

COURSE INFORMATION SHEET

PROGRAMME: APPLIED ELECTRONICS &

INSTRUMENTATION

DEGREE: BTECH

COURSE: : COMPUTER NETWORKS SEMESTER: 8 CREDITS: 4

COURSE CODE: AI010 803

REGULATION: 2010

COURSE TYPE: CORE

COURSE AREA/DOMAIN:COMPUTER

SCIENCE

CONTACT HOURS: 3+1 (Tutorial)

hours/Week.

CORRESPONDING LAB COURSE CODE (IF

ANY): NIL

LAB COURSE NAME:NA

SYLLABUS:

UNIT DETAILS HOURS

I Network requirements, Network Architecture –layering and protocol, OSI

Architecture, Internet Architecture, Performance-bandwidth and latency ,

Delay x bandwidth product, high speed networks .

8

II Direct Link Network, Hardware Building Block, Framing-Byte Oriented

Protocol, Bit Oriented Protocol , Clock Based Framing, Reliable

Transmission-Stop and Wait, Sliding Window, Ethernet(802.3)-Physical

properties, Access protocol, Wireless-Bluetooth, WiFi, Wimax

9

III Packet Switching-Switching and Forwarding- Datagram, virtual circuit switching, Source routing Bridges and LAN Switches-Learning Bridges, Spanning tree Algorithms, Broadcast and Multicast, Limitations of bridges, Simple Internetworking-Service Model, Global Address, Datagram Forwarding in IP, address translation, Routing-network as graph, distance vector, link state, matrix

10

IV End to End Protocol, Simple de-multiplexer, Reliable Byte stream, TCP-Issues, segment format, connection establishment and termination sliding window revisited, triggering transmission, adaptive retransmission, RPC-fundamentals ,TCP Congestion control – additive increase, slow start, fast retransmit and fast recovery, congestion avoidance mechanism, DEC bit, Random Early Detection bit, Source Based Congestion avoidance

13

V Applications -WWW, E-mail, Name Service, Network Management, Web Services Custom Application protocol, Generic Application Protocol ,Overlay Networks-Peer to Peer Networks.

5

TOTAL HOURS 45

TEXT/REFERENCE BOOKS:

T/R BOOK TITLE/AUTHORS/PUBLICATION

R1 Computer Networks: Andrew S Tannenbaum, Pearson Education.

R2 Computer Networking: A Top Down Approach: Kurose Pearson Education.

R3 Local Area Networks: William Stallings, Pearson Education.

R4 Understanding Data Communication and networks- 2nd ed-William A Shay (Vikas

AI010 803 COMPUTER NETWORKS S8AEI

COURSE HANDOUT: S8 Page 25

Thomson Learning) R5 An Engineering Approach to Computer Networking: Keshav, Pearson Education.

COURSE PRE-REQUISITES:

C.CODE COURSE NAME DESCRIPTION SEM

EN 010

109

Basic Electronics

Engineering &

Information Technology

Concepts of Networking-Network

Topologies-WAN-LAN-MAN,

Protocol-Internet-working

concept, Internet Architecture, IP

addresses, Routing, Domain Name

System(Basic concepts only)

S1S2

COURSE OBJECTIVES:

1 To develop basic knowledge on the mode of operation of different types of computer networks those are used to interconnect a distributed community of computers and various interfacing standards and protocols.

COURSE OUTCOMES:

SNO DESCRIPTION PO

MAPPING

1 Enable students to understand the computer network layered model and it’s importance. Understanding the concepts of computer networks in wired and wireless technologies and to succeed into the industry recruitments in the field of computer networks

c, d, e, g, j,

m

2 Analyze the different layers in detail d, e, i, j, l,

m

3 Have a basic knowledge of the use of cryptography and WAP k

4 Develop familiarity for networking and security problems, technical issues, and routing

e, i, j, m

5 The student’s seminars organized from some of the topics in the application programs and protocols to increase the presentation skills and enhance the communication skills, confidence and self learning

a, d, i, j, m

GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS:

SNO DESCRIPTION PROPOSED

ACTIONS

1 Network Simulator Tool Discussion

PROPOSED ACTIONS: TOPICS BEYOND SYLLABUS/ASSIGNMENT/INDUSTRY VISIT/GUEST LECTURER/NPTEL ETC

TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN:

1 Routing algorithms

WEB SOURCE REFERENCES:

1 http://www.isi.edu/nsnam/ns/tutorial/

AI010 803 COMPUTER NETWORKS S8AEI

COURSE HANDOUT: S8 Page 26

2 http://nptel.iitm.ac.in

DELIVERY/INSTRUCTIONAL METHODOLOGIES:

☐ CHALK & TALK ☐ STUD. ASSIGNMENT ☐ WEB RESOURCES

☐ LCD/SMART

BOARDS

☐ STUD. SEMINARS ☐ ADD-ON COURSES

ASSESSMENT METHODOLOGIES-DIRECT

☐ ASSIGNMENTS ☐ STUD.

SEMINARS

☐ TESTS/MODEL

EXAMS

☐ UNIV.

EXAMINATION

☐ STUD. LAB

PRACTICES

☐ STUD. VIVA ☐ MINI/MAJOR

PROJECTS

☐ CERTIFICATIONS

☐ ADD-ON

COURSES

☐ OTHERS

ASSESSMENT METHODOLOGIES-INDIRECT

☐ ASSESSMENT OF COURSE OUTCOMES (BY

FEEDBACK, ONCE)

☐ STUDENT FEEDBACK ON FACULTY

(TWICE)

☐ ASSESSMENT OF MINI/MAJOR PROJECTS

BY EXT. EXPERTS

☐ OTHERS

Prepared by Approved by

Ms. Liza Annie Joseph Ms. Liza Annie Joseph

(Faculty) (HOD)

AI010 803 COMPUTER NETWORKS S8AEI

COURSE HANDOUT: S8 Page 27

COURSE PLAN

Module 1

Module 2

Sl. No. Topic No. of lecture hours Reference Books

1 Network requirements 1

1. Computer Networks A

Systems Approach-Larry L.

Peterson and Bruce S.

Davie,4th Edition.

2. Introduction to data

communication and

networking, Behrouz

Forozan TMH.

3. Computer networks,

Andrew S Tanenbaum, PHI

2 Network Architecture 1

3 layering and protocol 1

4 OSI Architecture 1

5 Internet Architecture 1

6 Performance-bandwidth and latency 1

7 Delay x bandwidth product 1

8 high speed networks 1

Total hours : 8

Sl. No. Topic No. of lecture hours Reference Books

1 Direct Link Network 1

1. Computer Networks A

Systems Approach-Larry L.

Peterson and Bruce S.

Davie,4th Edition.

2. Introduction to data

communication and

networking, Behrouz

Forozan TMH.

3. Computer networks,

Andrew S Tanenbaum, PHI

2 Hardware Building Block 1

3 Framing-Byte Oriented Protocol 1

4 Bit Oriented Protocol 1

5 Clock Based Framing 1

6 Reliable Transmission-Stop and Wait 1

7 Sliding Window 1

8 Ethernet(802.3)-Physical properties,

Access protocol 1

AI010 803 COMPUTER NETWORKS S8AEI

COURSE HANDOUT: S8 Page 28

Module 3

Module 4

9 Wireless-Bluetooth, WiFi, WiMAX 1

Total hours : 9

Sl. No. Topic No. of lecture hours Reference Books

1 Packet Switching-Switching and

Forwarding 1

1. Computer Networks A

Systems Approach-Larry L.

Peterson and Bruce S.

Davie,4th Edition.

2. Introduction to data

communication and

networking, Behrouz

Forozan TMH.

3. Computer networks,

Andrew S Tanenbaum, PHI

2 Datagram, virtual circuit switching 1

3 Source routing Bridges and LAN

Switches-Learning Bridges 1

4 Spanning tree Algorithms 1

5 Broadcast and Multicast 1

6 Limitations of bridges, Simple

Internetworking-Service Model 1

7 Global Address 1

8 Datagram Forwarding in IP 1

9 address translation 1

10 Routing-network as graph, distance

vector, link state, matrix 1

Total hours : 10

Sl. No. Topic No. of lecture hours Reference Books

1 End to End Protocol, Simple de-

multiplexer 2

1. Computer Networks A

Systems Approach-Larry L.

Peterson and Bruce S.

Davie, 4th Edition.

2. Introduction to data

communication and

2 Reliable Byte stream, TCP-Issues 2

3 segment format, connection

2

AI010 803 COMPUTER NETWORKS S8AEI

COURSE HANDOUT: S8 Page 29

Module 5

establishment and termination sliding

window revisited

networking, Behrouz

Forozan TMH.

3. Computer networks,

Andrew S Tanenbaum, PHI 4 triggering transmission, adaptive

retransmission 2

5 RPC-fundamentals, TCP Congestion

control, additive increase 3

6 congestion avoidance mechanism,

DEC bit, Random Early Detection bit,

Source Based Congestion avoidance

2

Total hours : 13

Sl. No. Topic No. of lecture hours Reference Books

1 Applications -WWW 1 1. Computer Networks A

Systems Approach-Larry L.

Peterson and Bruce S.

Davie, 4th Edition.

2. Introduction to data

communication and

networking, Behrouz

Forozan TMH.

3. Computer networks,

Andrew S Tanenbaum, PHI

2 E-mail, Name Service 1

3 Network Management, Web Services

Custom Application protocol 1

4 Generic Application Protocol 1

5 Overlay Networks-Peer to Peer

Networks 1

Total hours : 5

AI010 804 L01 NEURAL NETWORKS S8AEI

COURSE HANDOUT: S8 Page 30

COURSE INFORMATION SHEET

PROGRAMME: APPLIED ELECTRONICS &

INSTRUMENTATION

DEGREE: BTECH

COURSE: NEURAL NETWORKS SEMESTER: 8 CREDITS: 4

COURSE CODE: AI010 804L01

REGULATION: 2010

COURSE TYPE: ELECTIVE

COURSE AREA/DOMAIN:SELF LEARNING

SYSTEMS

CONTACT HOURS: 2+2 (Tutorial)

hours/Week.

CORRESPONDING LAB COURSE CODE (IF

ANY): NIL

LAB COURSE NAME:NA

SYLLABUS:

UNIT DETAILS HOURS

I Fundamentals of Neural Networks – Human Brain – Model of an artificial neuron - activation functions – Typical architectures – Training and learning methods – Perceptron - Linear separability – XOR problem- Perceptron convergence theorem - Adaline and Madaline Network – Applications of ANNs.

9

II Back Propagation – The Single layer ANNs – Multi layered feed forward

ANNs – Back propagation network architecture and algorithm – Method

of steepest descent – local and global minima - Effect of learning rate –

Adding a momentum term - Applications.

9

III Associative Memory – Auto associative memory – Storage capacity- Hetero associative memory – Kosko’s discrete BAM –- Recurrent networks – Discrete Hopfield network stability - Adaptive resonance theory – Vector quantization – ART1 and ART2 architecture.

9

IV Competitive Networks – Kohonen’sself organizing maps – architecture and algorithm – LVQ – architecture and algorithm - Counter Propagation networks: - Full CPN – Forward only CPN.

9

V Simulated Annealing - Boltzmann’s Machine - Applications to traveling salesman problem. Simulating ANN using Matlab/Labview – Simple neuron model using hardware, Neural network hardware and VLSI implementation.

9

TOTAL HOURS 45

TEXT/REFERENCE BOOKS:

T/R BOOK TITLE/AUTHORS/PUBLICATION

T1 Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications - S.

Rajasekaran, G. A. VijayalakshmiPai, PHI Learning Pvt. Ltd.

T2 Fundamentals of Neural Networks: Architectures, Algorithms and Applications LaureneFausett, Pearson Education Inc.

T3 1. Neural Networks: A Classroom Approach – Satish Kumar, TMH Education Pvt. Ltd.

R1 Neural Networks: A Comprehensive Foundation- Simon Haykins, Prentice Hall

AI010 804 L01 NEURAL NETWORKS S8AEI

COURSE HANDOUT: S8 Page 31

R2 Introduction to Artificial Neural Systems - J.M. Zurada, Jaico Publishing House

R3 ArtificialNeuralNetworks-RobertJ.Schalkoff, McGrawHill

R4 ArtificialNeuralNetworks - B.Yegnanarayana, Prentice Hall India

R5 Neural Computing: Theory & Practice - Philip D. Wasserman.

COURSE PRE-REQUISITES:

C.CODE COURSE NAME DESCRIPTION SEM

EN 010

101

Engineering

Mathematics I

Basic Knowledge of Vectors,

Matrices and Vector Spaces

S1S2

COURSE OBJECTIVES:

1 Students will learn the theory of Artificial Neural Networks and its applications to

Engineering Problems

2 Students will learn about the various different architectures of artificial neural

networks

COURSE OUTCOMES:

SNO DESCRIPTION PO

MAPPING

1 Students will have knowledge about the fundamental features and

functions of ANNs

a, b, e

2 Students will acquire knowledge about BackPropagationNetworks and

its applications.

a, b, e, k

3 Students will acquire knowledge on Associative Memory Models a, b, e, k

4 Students will acquire knowledge on various types of Competitive, SOM,

CPN Networks.

a, b, e, k

5 Students will acquire knowledge on statistical machines, use Matlab,

Labview for Artificial Neuron representation.

a, b, e, k

GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS:

SNO DESCRIPTION PROPOSED

ACTIONS

1 Matlab programs Demos will

be added PROPOSED ACTIONS: TOPICS BEYOND SYLLABUS/ASSIGNMENT/INDUSTRY VISIT/GUEST LECTURER/NPTEL ETC

TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN:

1 Matlab demonstrations of various ANN models

2 Video demonstrations on application examples of ANNs

AI010 804 L01 NEURAL NETWORKS S8AEI

COURSE HANDOUT: S8 Page 32

WEB SOURCE REFERENCES:

1 http://nptel.iitm.ac.in/video.php?subjectId=117105084

2 http://www-cs-faculty.stanford.edu/~eroberts/courses/soco/projects/neural-

networks/Sources/index.html

3 http://cns-web.bu.edu/ (Department of Cognitive and Neural Systems,

BostonUniversity)

4 http://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-641j-introduction-to-

neural-networks-spring-2005/index.htm

DELIVERY/INSTRUCTIONAL METHODOLOGIES:

☐ CHALK & TALK ☐ STUD. ASSIGNMENT ☐ WEB RESOURCES

☐ LCD/SMART

BOARDS

☐ STUD. SEMINARS ☐ ADD-ON COURSES

ASSESSMENT METHODOLOGIES-DIRECT

☐ ASSIGNMENTS ☐ STUD.

SEMINARS

☐ TESTS/MODEL

EXAMS

☐ UNIV.

EXAMINATION

☐ STUD. LAB

PRACTICES

☐ STUD. VIVA ☐ MINI/MAJOR

PROJECTS

☐ CERTIFICATIONS

☐ ADD-ON

COURSES

☐ OTHERS

ASSESSMENT METHODOLOGIES-INDIRECT

☐ ASSESSMENT OF COURSE OUTCOMES (BY

FEEDBACK, ONCE)

☐ STUDENT FEEDBACK ON FACULTY

(TWICE)

☐ ASSESSMENT OF MINI/MAJOR PROJECTS

BY EXT. EXPERTS

☐ OTHERS

Prepared by Approved by

Mr. Anish T. Ms. Liza Annie Joseph

(Faculty) (HOD)

AI010 804 L01 NEURAL NETWORKS S8AEI

COURSE HANDOUT: S8 Page 33

COURSE PLAN

Module 1

Module 2

Sl. No. Topic No. of lecture hours Reference Books

1 Fundamentals of Neural Network 1 1. Neural Networks, Fuzzy

Logic and Genetic

Algorithms: Synthesis and

applications - S.

Rajasekaran, G. A.

Vijayalakshmi Pai, PHI

Learning Pvt. Ltd.

2. Neural Networks: A

Comprehensive Foundation

- Simon Haykins, Prentice

Hall

3. Fundamentals of Neural

Networks: Architectures,

Algorithms and Applications

- Laurene Fausett, Pearson

Education Inc.

2 Human Brain – Model of an artificial neuron - activation functions

1

3 Activation functions 1

4 Typical architectures 1

5 Training and learning methods – Perceptron

1

6 Linear separability – XOR problem

1

7 Perceptron convergence theorem 1

8 Adaline and Madaline Network 1

9 Applications of ANNs

1

Total hours : 9

Sl. No. Topic No. of lecture hours Reference Books

1 Back Propagation - The Single layer ANN

2

1. Neural Networks, Fuzzy

Logic and Genetic

Algorithms: Synthesis and

applications - S.

Rajasekaran, G. A.

Vijayalakshmi Pai, PHI

Learning Pvt. Ltd.

2. Neural Networks: A

Comprehensive Foundation

- Simon Haykins, Prentice

Hall

2 Multi layered feed forward ANNs 1

3 Back propagation network architecture and algorithm

1

4 Method of steepest descent 1

5 local and global minima 1

6 Effect of learning rate

1

7 Adding a momentum term - Applications

2

Total hours : 9

AI010 804 L01 NEURAL NETWORKS S8AEI

COURSE HANDOUT: S8 Page 34

Module 3

Module 4

Sl. No. Topic No. of lecture hours Reference Books

1 Associative Memory – Auto associative

memory 1

1. Neural Networks, Fuzzy

Logic and Genetic

Algorithms: Synthesis and

applications - S.

Rajasekaran, G. A.

Vijayalakshmi Pai, PHI

Learning Pvt. Ltd.

2. Fundamentals of Neural

Networks: Architectures,

Algorithms and Applications

- Laurene Fausett, Pearson

Education Inc.

2 Storage capacity- Hetero associative

memory 1

3 Kosko’s discrete BAM 1

4 Recurrent networks 1

5 Discrete Hopfield network stability 2

6 Adaptive resonance theory 1

7 Vector quantization – ART1 and ART2 architecture.

2

Total hours : 9

Sl. No. Topic No. of lecture hours Reference Books

1 Competitive Networks 1 1. Neural Networks, Fuzzy

Logic and Genetic

Algorithms: Synthesis and

applications - S.

Rajasekaran, G. A.

Vijayalakshmi Pai, PHI

Learning Pvt. Ltd.

2. Neural Networks: A

Comprehensive Foundation

- Simon Haykins, Prentice

Hall

2 Kohonen’s self organizing maps 2

3 architecture and algorithm – LVQ 2

4 Counter Propagation networks: - Full CPN

2

5 Forward only CPN. 2

Total hours :9

AI010 804 L01 NEURAL NETWORKS S8AEI

COURSE HANDOUT: S8 Page 35

Module 5

Sl. No. Topic No. of lecture hours Reference Books

1 Simulated Annealing 1

1. Neural Networks, Fuzzy

Logic and Genetic

Algorithms: Synthesis and

applications - S.

Rajasekaran, G. A.

Vijayalakshmi Pai, PHI

Learning Pvt. Ltd.

2. Neural Networks: A

Comprehensive Foundation

- Simon Haykins, Prentice

Hall.

2 Boltzmann’s Machine 1

3 Applications to travelling salesman

problem. 2

4 Simulating ANN using Matlab/Labview 2

5 Simple neuron model using hardware 1

6 Neural network hardware and VLSI

implementation 2

Total hours : 9

AI010 804 L04 ARTIFICIAL INTELLIGENCE S8AEI

COURSE HANDOUT: S8 Page 36

COURSE INFORMATION SHEET

PROGRAMME: APPLIED ELECTRONICS &

INSTRUMENTATION

DEGREE: BTECH

COURSE: : ARTIFICIAL INTELLIGENCE SEMESTER: 8 CREDITS: 4

COURSE CODE: AI010 804 L04

REGULATION: 2010

COURSE TYPE: ELECTIVE

COURSE AREA/DOMAIN: MACHINE

LEARNING

CONTACT HOURS: 2+2 (Tutorial)

hours/Week.

CORRESPONDING LAB COURSE CODE (IF

ANY): NIL

LAB COURSE NAME:NA

SYLLABUS:

UNIT DETAILS HOURS

I Introduction to AI: Intelligent agents – Perception – Natural language processing Problem – Solving agents – Searching for solutions: Uniformed search strategies – Informed search strategies.

9

II Adversarial search – Optimal and imperfect decisions – Alpha, Beta

pruning – Logical agents: Propositional logic – First order logic – Syntax

and semantics – Using first order logic – Inference in first order logic.

9

III Uncertainty – Acting under uncertainty – Basic probability notation – Axioms of probability – Baye’s rule – Probabilistic reasoning – Making simple decisions.

9

IV Planning: Planning problem – Partial order planning – Planning and acting in non deterministic domains – Learning: Learning decision trees – Knowledge in learning –Neural networks – Reinforcement learning – Passive and active.

9

V Definition – Features of an expert system – Organization – Characteristics – Prospector. Knowledge Representation in expert systems – Expert system tools – MYCIN – EMYCIN.

9

TOTAL HOURS 45

TEXT/REFERENCE BOOKS:

T/R BOOK TITLE/AUTHORS/PUBLICATION

T1 Stuart Russel and Peter Norvig, ‘Artificial Intelligence - A Modern Approach’, Second Edition, Pearson Education, 2003 / PHI.

T2 Donald A. Waterman, ‘A Guide to Expert Systems’, Pearson Education.

R1 George F. Luger, ‘Artificial Intelligence – Structures and Strategies for Complex Problem Solving’, Fourth Edition, Pearson Education, 2002.

R2 Elain Rich and Kevin Knight, ‘Artificial Intelligence’, Second Edition Tata McGraw Hill, 1995.

R3 W. Patterson, ‘Introduction to Artificial Intelligence and Expert Systems’, Prentice Hall of India, 2003.

AI010 804 L04 ARTIFICIAL INTELLIGENCE S8AEI

COURSE HANDOUT: S8 Page 37

COURSE PRE-REQUISITES:

C.CODE COURSE NAME DESCRIPTION SEM

EN010

401

Engineering Mathematics III

Statistics and probability

distribution

S4

COURSE OBJECTIVES:

1 To study the idea of intelligent agents and search methods.

2 To study about representing knowledge.

3 To study the reasoning and decision making in uncertain world.

4 To construct plans and methods for generating knowledge.

5 To study the concepts of expert systems.

COURSE OUTCOMES:

SNO DESCRIPTION PO

MAPPING

1 Graduates will be able to understand the basics of Artificial intelligence a, b, i

2 Graduates will be able to apply the knowledge of AI to controller system b, m

3 Graduates will be able to apply the knowledge of AI to instrument data analysis

e, h, i

4 Graduates will be able to apply the knowledge of AI to built intelligence

systems h

5 Graduates will be able to apply the knowledge of AI to higher studies m

GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS:

SNO DESCRIPTION PROPOSED

ACTIONS

1 Evolutionary algorithms Extra class

2 K -means clustering algorithms Extra class PROPOSED ACTIONS: TOPICS BEYOND SYLLABUS/ASSIGNMENT/INDUSTRY VISIT/GUEST LECTURER/NPTEL ETC

TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN:

1 Interactive Tools for Learning Artificial Intelligence

WEB SOURCE REFERENCES:

1 http://www.aihorizon.com/resources/links.htm

2 http://codesters.org/resource/topic/artificial-intelligence/

3 www.nptel.iitm.ac.in/.../Artificial%20intelligence/New_index1.html

DELIVERY/INSTRUCTIONAL METHODOLOGIES:

☐ CHALK & TALK ☐ STUD. ASSIGNMENT ☐ WEB RESOURCES

☐ LCD/SMART

BOARDS

☐ STUD. SEMINARS ☐ ADD-ON COURSES

AI010 804 L04 ARTIFICIAL INTELLIGENCE S8AEI

COURSE HANDOUT: S8 Page 38

ASSESSMENT METHODOLOGIES-DIRECT

☐ ASSIGNMENTS ☐ STUD.

SEMINARS

☐ TESTS/MODEL

EXAMS

☐ UNIV.

EXAMINATION

☐ STUD. LAB

PRACTICES

☐ STUD. VIVA ☐ MINI/MAJOR

PROJECTS

☐ CERTIFICATIONS

☐ ADD-ON

COURSES

☐ OTHERS

ASSESSMENT METHODOLOGIES-INDIRECT

☐ ASSESSMENT OF COURSE OUTCOMES (BY

FEEDBACK, ONCE)

☐ STUDENT FEEDBACK ON FACULTY

(TWICE)

☐ ASSESSMENT OF MINI/MAJOR PROJECTS

BY EXT. EXPERTS

☐ OTHERS

Prepared by Approved by

Mr. Krishna Kumar K. P. Ms. Liza Annie Joseph

(Faculty) (HOD)

AI010 804 L04 ARTIFICIAL INTELLIGENCE S8AEI

COURSE HANDOUT: S8 Page 39

COURSE PLAN

Module 1

Module 2

Module 3

Sl. No. Topic No. of lecture hours Reference Books

1 Introduction to AI: Intelligent agents 2 1. Stuart Russel and Peter

Norvig, ‘Artificial

Intelligence - A Modern

Approach’, Second Edition,

Pearson Education, 2003 /

PHI.

2. Donald A. Waterman, ‘A

Guide to Expert Systems’,

Pearson Education.

2 Perception

1

3 Natural language processing 1

4 Problem Solving agents 1

5 Searching for solutions: Uniformed search strategies

2

Total hours : 9

Sl. No. Topic No. of lecture hours Reference Books

1 Adversarial search

1

1. Stuart Russel and Peter

Norvig, ‘Artificial

Intelligence - A Modern

Approach’, Second Edition,

Pearson Education, 2003 /

PHI.

2. Donald A. Waterman, ‘A

Guide to Expert Systems’,

Pearson Education.

2 Optimal and imperfect decisions 1

3 Alpha, Beta pruning 1

4 Logical agents: Propositional logic 2

5 First order logic 1

6 Syntax and semantics 1

7 Using first order logic, Inference in first order logic

2

Total hours : 9

Sl. No. Topic No. of lecture hours Reference Books

1 Uncertainty 1 1. Stuart Russel and Peter

Norvig, ‘Artificial

Intelligence - A Modern 2 Acting under uncertainty 1

AI010 804 L04 ARTIFICIAL INTELLIGENCE S8AEI

COURSE HANDOUT: S8 Page 40

Module 4

Module 5

3 Basic probability notation 1 Approach’, Second Edition,

Pearson Education, 2003 /

PHI.

2. Donald A. Waterman, ‘A

Guide to Expert Systems’,

Pearson Education.

4 Axioms of probability 1

5 Baye’s rule 2

6 Probabilistic reasoning 1

7 Making simple decisions 2

Total hours : 9

Sl. No. Topic No. of lecture hours Reference Books

1 Planning: Planning problem 1 1. Stuart Russel and Peter

Norvig, ‘Artificial

Intelligence - A Modern

Approach’, Second Edition,

Pearson Education, 2003 /

PHI.

2. Donald A. Waterman, ‘A

Guide to Expert Systems’,

Pearson Education.

2 Partial order planning – Planning and

acting in nondeterministic domains 2

3 Learning: Learning decision trees 2

4 Knowledge in learning –Neural networks

2

5 Reinforcement learning – Passive and active

2

Total hours :9

Sl. No. Topic No. of lecture hours Reference Books

1 Definition – Features of an expert

system 2 1. Stuart Russel and Peter

Norvig, ‘Artificial

Intelligence - A Modern

Approach’, Second Edition,

Pearson Education, 2003 /

PHI.

2. Donald A. Waterman, ‘A

Guide to Expert Systems’,

Pearson Education.

2 Organization – Characteristics 2

3 Prospector – Knowledge

Representation in expert systems 2

4 Expert system tools – MYCIN –

EMYCIN 3

Total hours : 9

AI010 805 G05 INDUSTRIAL POLLUTION CONTROL S8AEI

COURSE HANDOUT: S8 Page 41

COURSE INFORMATION SHEET

PROGRAMME: APPLIED ELECTRONICS &

INSTRUMENTATION

DEGREE: BTECH

COURSE: : INDUSTRIAL POLLUTION

CONTROL

SEMESTER: 8 CREDITS: 4

COURSE CODE: AI010 805 G05

REGULATION: 2010

COURSE TYPE: ELECTIVE

COURSE AREA/DOMAIN: CONTACT HOURS: 2+2 (Tutorial)

hours/Week.

CORRESPONDING LAB COURSE CODE (IF

ANY): NIL

LAB COURSE NAME:NA

SYLLABUS:

UNIT DETAILS HOURS

I Concept of ecosystem: Structure and function of an ecosystem, producers, consumers and decomposers, energy flow in ecosystem, ecological succession, food chains and ecological pyramids, biodiversity and its conservation. Introductory lessons on environmental pollution: Types of pollution: soil – water – air – causes - types of emissions from chemical industries - effects on environment - greenhouse gases and global warming – climate change - acid rain - ozone layer depletion - nuclear accidents and holocaust.

10

II Mathematics of Growth: Concern about future – models of population

growth – exponential growth – logistic growth – logistic human

population curve. Natural resources: renewable and non-renewable

resources - resource consumption - depletion of nonrenewable energy

sources - Concept of sustainable development.

10

III Social issues and the environment: population and pollution - consumerism and waste products - environmental ethics - social cost of pollution - ‘polluter pays principle’ and its relevance. Water pollution: Water resources- properties of water: density, melting point, boiling point, specific heat, dissolved oxygen; water as a solvent, the hydrogen cycle. Water pollutants: pathogens, oxygen demanding wastes, nutrients, salts, thermal pollutants, heavy metals, pesticides, volatile organic compounds. Air pollution: Overview of emissions– criteria pollutants – toxic air pollutants –motor vehicle emission – basic ideas of influence of air pollution on meteorology - comparison of air pollution in major cities. The carbon cycle: Importance of CO2 in climate change – green house effect and global energy balance.

10

IV Pollution monitoring: Pollution monitoring devices: paper tape sampler - bubbler systems - gas analysers. Basics of methods of measuring pollution: principle of sampling air /water/soil for pollution measurement; ambient air sampling: collection of gaseous air pollutants, collection of particulate air

8

AI010 805 G05 INDUSTRIAL POLLUTION CONTROL S8AEI

COURSE HANDOUT: S8 Page 42

pollutants; stack sampling: sampling system, particulate sampling, and gaseous sampling. Analysis of air pollutants: sulphur dioxide, nitrogen oxides, carbon monoxide, oxidants and ozone, hydrocarbons, particulate matter.

V Principles and simple methods of pollution abatement and control: Concepts of solid waste management: source reduction – recycling – disposal. Concepts of waste water treatment methods: physical treatments – biological treatments - reuse and recycle of water and waste water. Environmental impact assessment of large scale projects. Legislation and standards for Air, Water and Soil pollution – international nature of pollution and the need for international rules and regulations - air quality regulations – clean air act.

7

TOTAL HOURS 45

TEXT/REFERENCE BOOKS:

T/R BOOK TITLE/AUTHORS/PUBLICATION

T1 R. Rajagopalan, Environmental Studies, Oxford IBH Pub.

T2 Benny Joseph, Environmental Studies, McGraw Hill Pub.

T3 ErachBharucha, Text Book for Environmental Studies, Pub., UGC.

T4 Masters, Gilbert M. Introduction to Environmental Engineering and Sciences, PHI.

COURSE PRE-REQUISITES:

C.CODE COURSE NAME DESCRIPTION SEM

EN010

401

Engineering Mathematics III

Statistics and probability

distribution

S4

EN010

103

Engineering Chemistry &

Environmental Studies

Basic chemical engineering S1S2

COURSE OBJECTIVES:

1 To generate an awareness among students about the importance of, and need for pollution control.

2 To help the students internalise concern for environment.

COURSE OUTCOMES:

SNO DESCRIPTION PO

MAPPING

1 Students will have a general idea about ecosystem and an introduction to industrial pollution control

c, j

2 Students will learn about environment friendly engineering and the need for sustainable technology, use of renewable sources of energy.

c, j

3 Students will learn the social issues of pollution, like air, water etc, and how they affect the society

c, h, j

4 Students will learn about the pollution monitoring methods and analyze

the intensity of pollution.

b, e

5 Students will learn about the built-in environment, significance of urban

planning

c, h, j

AI010 805 G05 INDUSTRIAL POLLUTION CONTROL S8AEI

COURSE HANDOUT: S8 Page 43

GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS:

SNO DESCRIPTION PROPOSED

ACTIONS

1 Rules and regulations existing in IPC Web

reference [1]

2 Pollution control measures and harmful effects of pollutants case studies PROPOSED ACTIONS: TOPICS BEYOND SYLLABUS/ASSIGNMENT/INDUSTRY VISIT/GUEST LECTURER/NPTEL ETC

TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN:

1 Case studies about some major pollution effects and how they were tackled.

2 Radioactive pollution

3 Pollution indices and standards

WEB SOURCE REFERENCES:

1 http://cpcb.nic.in/

2 http://water.epa.gov/polwaste/

DELIVERY/INSTRUCTIONAL METHODOLOGIES:

☐ CHALK & TALK ☐ STUD. ASSIGNMENT ☐ WEB RESOURCES

☐ LCD/SMART

BOARDS

☐ STUD. SEMINARS ☐ ADD-ON COURSES

ASSESSMENT METHODOLOGIES-DIRECT

☐ ASSIGNMENTS ☐ STUD.

SEMINARS

☐ TESTS/MODEL

EXAMS

☐ UNIV.

EXAMINATION

☐ STUD. LAB

PRACTICES

☐ STUD. VIVA ☐ MINI/MAJOR

PROJECTS

☐ CERTIFICATIONS

☐ ADD-ON

COURSES

☐ OTHERS

ASSESSMENT METHODOLOGIES-INDIRECT

☐ ASSESSMENT OF COURSE OUTCOMES (BY

FEEDBACK, ONCE)

☐ STUDENT FEEDBACK ON FACULTY

(TWICE)

☐ ASSESSMENT OF MINI/MAJOR PROJECTS

BY EXT. EXPERTS

☐ OTHERS

Prepared by Approved by

Mr.Balu Raveendran Ms. Liza Annie Joseph

(Faculty) (HOD)

AI010 805 G05 INDUSTRIAL POLLUTION CONTROL S8AEI

COURSE HANDOUT: S8 Page 44

COURSE PLAN

Module 1

Module 2

Sl.No. Topic No. of lecture hours Reference Books

1. Introduction 1

1. R. Rajagopalan, Environmental Studies, Oxford IBH Pub.

2. Benny Joseph, Environmental Studies, McGraw Hill Pub.

2. Concept of ecosystem: Structure and function of an ecosystem, producers,

consumers and decomposers 1

3. Energy flow in ecosystem ecological

succession 1

4. Ecological succession 1 5. Food chains and ecological pyramids 1 6. Biodiversity and its conservation 1

7. Environmental pollution: Types of

pollution: soil – water – air – causes 1

8. Greenhouse gases and global warming

- climate change - acid rain 1

9. Ozone layer depletion - nuclear

accidents and holocaust. 1

10. Energy flow in ecosystem ecological

succession 1

Total hours : 10

Sl. No. Topic No. of lecture hours Reference Books

1. Concern about future – models of

population growth 2

1. Erach Bharucha, Text Book for Environmental Studies, Pub, UGC

2. Exponential growth 2

3. Logistic growth 2

4. Logistic human population curve 1

5.

Natural resources: renewable and non-

renewable resources - resource

consumption - depletion of non-

renewable energy sources - Concept of

sustainable development.

3

Total hours : 10

AI010 805 G05 INDUSTRIAL POLLUTION CONTROL S8AEI

COURSE HANDOUT: S8 Page 45

Module 3

Module 4

Sl. No. Topic No. of lecture hours Reference Books

1.

Population and pollution -

consumerism and waste products -

environmental ethics - social cost of

pollution - ‘polluter pays principle’ and

its relevance

1

1. R. Rajagopalan,

Enviromental Studies,

Oxford IBH Pub.

2. Benny Joseph,

Environmental

Studies, McGraw Hill

Pub.

2.

Water pollution: Water resources-

properties of water: density, melting

point, boiling point, specific heat,

dissolved oxygen; water as a solvent,

the hydrogen cycle

1

3.

Water pollutants: pathogens, oxygen

demanding wastes, nutrients, salts,

thermal pollutants, heavy metals,

pesticides,volatile organic compounds.

2

4.

Air pollution: Overview of emissions–

criteria pollutants – toxic air pollutants

–motor vehicle emission

2

5.

Basic ideas of influence of air pollution

on meteorology - comparison of air

pollution in major cities

2

6.

The carbon cycle: Importance of CO2

in climate change – green house effect

and global energy balance.

2

Total Hours: 10

Sl. No. Topic No. of lecture hours Reference Books

1. Pollution monitoring devices: paper tape sampler - bubbler systems - gas

analysers 2

1. R. Rajagopalan, Enviromental Studies, Oxford IBH Pub.

2. Benny Joseph, Environmental Studies, McGraw Hill Pub.

2. Basics of methods of measuring

pollution: principle of sampling air /water/soil for pollution measurement

2

AI010 805 G05 INDUSTRIAL POLLUTION CONTROL S8AEI

COURSE HANDOUT: S8 Page 46

Module 5

3.

Ambient air sampling: collection of gaseous air pollutants, collection of

particulate air pollutants; stack sampling: sampling system, particulate

sampling, and gaseous sampling

2

4.

Analysis of air pollutants: sulphur dioxide, nitrogen oxides, carbon monoxide, oxidants and ozone,

hydrocarbons, particulate matter.

2

Total Hours: 8

Sl. No. Topic No. of lecture hours

Reference Books

1 Principles and simple methods of pollution abatement and control

1

1. Benny Joseph, Environmental Studies, McGraw Hill Pub

2. Masters, Gilbert M. Introduction to Environmental Engineering and Sciences, PHI

3. India Environmental Port, http://www.indiaenviron-mentportal.org.in

2 Concepts of solid waste management:

source reduction – recycling – disposal 1

3

Concepts of waste water treatment methods: physical treatments –

biological treatments - reuse and recycle of water and waste water

1

4 Environmental impact assessment of

large scale projects 1

5 Legislation and standards for Air,

Water and Soil pollution 1

6 International nature of pollution and the need for international rules and

regulations 1

7 Air quality regulations clean air act 1 Total Hours: 7

AI010 806 PROCESS CONTROL LAB S8AEI

COURSE HANDOUT: S8 Page 47

COURSE INFORMATION SHEET

PROGRAMME: APPLIED ELECTRONICS &

INSTRUMENTATION

DEGREE: BTECH

COURSE: PROCESS CONTROL LAB SEMESTER: 8 CREDITS: 2

COURSE CODE: AI 010 806

REGULATION: 2010

COURSE TYPE: CORE

COURSE AREA/DOMAIN:

INSTRUMENTATION & CONTROL

CONTACT HOURS: 3 Practical Hours/Week.

CORRESPONDING THEORY COURSE CODE

(IF ANY): AI 010 601, AI 010 702

THEORY COURSE NAME: PROCESS

CONTROL INSTRUMENTATION,

COMPUTERISED PROCESS CONTROL

SYLLABUS:

UNIT DETAILS HOURS

I Electronic PID controller and implementation of PID algorithm using

high level language

3

II Performance Evaluation of Temperature process control station 3

III Performance Evaluation of Pressure process control station 3

IV Performance Evaluation of Flow process control station 3

V Performance Evaluation of Level process control station 3

VI Characteristics of Differential Pressure Transmitter and Rotameter 3

VII Characteristics of control valve, with and without positioner 3

VIII Characteristics of I/P and P/I converter 3

IX Study of process control simulator 3

X Study of PLC 3

XI PLC programming and implementation 3

XII Control of bottle filling system using PLC 3

XIII Speed controller of a DC motor using PLC 3

XIV Liquid level control using PLC 3

XV Study of Distributed Control System 3

TOTAL HOURS 45

TEXT/REFERENCE BOOKS:

T/R BOOK TITLE/AUTHORS/PUBLICATION

R1 Bella G. Liptak , Instrument engineers handbook

R2 Curtis Johnson ,Process control instrumentation

COURSE PRE-REQUISITES:

AI010 806 PROCESS CONTROL LAB S8AEI

COURSE HANDOUT: S8 Page 48

C.CODE COURSE NAME DESCRIPTION SEM

AI 010

707

Industrial instrumentation lab To have a basic idea about

measurements related with process

control

S7

COURSE OBJECTIVES:

1 To study the practical aspects of process control like tuning controllers, calibration etc

2 To study the identification of loop diagrams ,instrument schedules etc

3 To serve as a foundation for further study on industrial practice

COURSE OUTCOMES:

SNO DESCRIPTION PO

MAPPING

1 Graduates will be able to understand basics of process control a, b

2 Graduates will be able to design process control instrumentation h, i, e, c, f

3 Graduates will be able to maintain process instrumentation h, c, d

4 Graduates will be able to do industrial projects c, d, f, g

5 Graduates will be able to train technicians in industry and building automation

c, f, g

6 Graduates will be able take part in professional society and standard development activities

k

GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS:

SNO DESCRIPTION PROPOSED

ACTIONS

1 Large scale processes cannot be covered in the syllabus Industrial

visit

2 Standards to be introduced in large extend like ISA, IEEE etc Extra class

3 Industrial data networks Extra class PROPOSED ACTIONS: TOPICS BEYOND SYLLABUS/ASSIGNMENT/INDUSTRY VISIT/GUEST LECTURER/NPTEL ETC

TOPICS BEYOND SYLLABUS/ADVANCED TOPICS/DESIGN:

1 SCADA software’s will be covered using ac31 graf and CODESYS

2 Calibrations of DP transmitters

3 Demonstration of Instrument cabling and wiring practices

4 Piping and joint design

WEB SOURCE REFERENCES:

1 www.ni.com/labview

2 www.mathworks.com

3 www.ISA.org

4 www.plantweb.com

AI010 806 PROCESS CONTROL LAB S8AEI

COURSE HANDOUT: S8 Page 49

5 www.fieldbus .org

6 www.IEC.org

7 www.control enginnering.com

DELIVERY/INSTRUCTIONAL METHODOLOGIES:

☐ CHALK & TALK ☐ STUD. ASSIGNMENT

☐ WEB RESOURCES

☐ LCD/SMART

BOARDS

☐ STUD.

SEMINARS

☐ ADD-ON COURSES

ASSESSMENT METHODOLOGIES-DIRECT

☐ ASSIGNMENTS ☐ STUD.

SEMINARS

☐ TESTS/MODEL

EXAMS

☐ UNIV.

EXAMINATION

☐ STUD. LAB

PRACTICES

☐ STUD. VIVA ☐ MINI/MAJOR

PROJECTS

☐ CERTIFICATIONS

☐ ADD-ON

COURSES

☐ OTHERS

ASSESSMENT METHODOLOGIES-INDIRECT

☐ ASSESSMENT OF COURSE OUTCOMES (BY

FEEDBACK, ONCE)

☐ STUDENT FEEDBACK ON FACULTY

(TWICE)

☐ ASSESSMENT OF MINI/MAJOR PROJECTS

BY EXT. EXPERTS

☐ OTHERS

Prepared by Approved by

Mr. Krishna Kumar K. P. Ms. Liza Annie Joseph

(Faculty) (HOD)

AI010 806 PROCESS CONTROL LAB S8AEI

COURSE HANDOUT: S8 Page 50

COURSE PLAN

Sl. No. EXPERIMENTS

1. Batch 1. Electronic PID controller and implementation of PID algorithm

using high level language

2. Batch 2. Performance Evaluation of Temperature process control station

3. Batch 3. Performance Evaluation of Pressure process control station

4. Batch 4. Performance Evaluation of Flow process control station

5. Batch 5. Performance Evaluation of Level process control station

6. Batch 6. Characteristics of Differential Pressure Transmitter and

Rotameter

7. Batch 7. Characteristics of control valve, with and without positioner

8. Batch 8. Characteristics of I/P and P/I converter

9. Batch 9. Study of PLC

10. Batch 10. PLC programming and implementation

11. Batch 1. Control of bottle filling system using PLC

12. Batch 2. Speed controller of a DC motor using PLC

13. Batch 3. Liquid level control using PLC

14. Batch 4. Study of Distributed Control System