CHRIST (Deemed to University), BangaloreDEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERINGSchool of Engineering and Technology 

Syllabus for

3 Semester  2021  Batch  
Course Code 
Course 
Type 
Hours Per Week 
Credits 
Marks 
CY321  CYBER SECURITY  Ability Enhancement Compulsory Course  2  0  0 
EE332P  ELECTRICAL MACHINES  I  Core Courses  4  4  100 
EE333P  ANALOG AND DIGITAL ELECTRONICS  Core Courses  6  4  100 
EE334  ELECTRICAL CIRCUIT ANALYSIS  Core Courses  4  3  100 
EE335  ELECTROMAGNETIC FIELDS  Core Courses  4  3  100 
HS311  TECHNICAL WRITING  Core Courses  2  2  50 
MA333  MATHEMATICS III  Core Courses  3  3  100 
4 Semester  2021  Batch  
Course Code 
Course 
Type 
Hours Per Week 
Credits 
Marks 
BS451  ENGINEERING BIOLOGY LABORATORY    2  2  50 
EE431P  ELECTRICAL MACHINESII    6  4  100 
EE432P  CONTROL SYSTEMS    6  4  100 
EE433  SIGNALS AND SYSTEMS    4  3  100 
EE434  GENERATION AND TRANSMISSION    4  3  100 
EVS421  ENVIRONMENTAL SCIENCE    2  0  0 
HS422  PROFESSIONAL ETHICS    2  2  50 
5 Semester  2020  Batch  
Course Code 
Course 
Type 
Hours Per Week 
Credits 
Marks 
CSOE561E04  PYTHON FOR ENGINEERS  Generic Elective  3  3  100 
CSOE561OE05  BASICS OF MACHINE LEARNING  Generic Elective  3  3  100 
EC535OE01  EMBEDDED BOARDS FOR IOT APPLICATIONS  Generic Elective  3  3  100 
EC535OE02  FUNDAMENTALS OF IMAGE PROCESSING  Generic Elective  3  3  100 
EC535OE03  OBSERVING EARTH FROM SPACE  Generic Elective  3  3  100 
EE531P  POWER ELECTRONICS  Core Courses  6  4  100 
EE532P  EMBEDDED AND REAL TIME MICROCONTROLLERS  Core Courses  6  4  100 
EE533  POWER SYSTEMS  I  Core Courses  4  4  100 
EE534P  PYTHON PROGRAMMING  Core Courses  6  4  100 
EE545D  INTERNET OF THINGS  Core Courses  3  3  100 
IC521  INDIAN CONSTITUTION  Ability Enhancement Compulsory Course  2  0  50 
6 Semester  2020  Batch  
Course Code 
Course 
Type 
Hours Per Week 
Credits 
Marks 
BTGE631  CORPORATE SOCIAL RESPONSIBILITY    2  2  100 
BTGE632  DIGITAL MEDIA    2  2  100 
BTGE633  FUNCTIONAL ENGLISH    2  2  50 
BTGE634  GERMAN    2  2  100 
BTGE635  INTELLECTUAL PROPERTY RIGHTS    2  2  100 
BTGE636  INTRODUCTION TO AVIATION    2  2  100 
BTGE637  PROFESSIONAL PSYCHOLOGY    2  2  100 
BTGE651  DATA ANALYTICS THROUGH SPSS    2  2  100 
BTGE652  DIGITAL MARKETING    2  2  100 
BTGE653  DIGITAL WRITING    2  2  100 
BTGE654  PHOTOGRAPHY    2  2  100 
BTGE655  ACTING COURSE    2  2  100 
BTGE656  CREATIVITY AND INNOVATION    2  2  100 
BTGE657  PAINTING AND SKETCHING    2  2  100 
EE631P  HIGH VOLTAGE ENGINEERING AND PROTECTION    5  4  100 
EE632P  POWER SYSTEMS  II    5  4  100 
EE633  DIGITAL SIGNAL PROCESSING    3  3  100 
EE645B  OBJECT ORIENTED PROGRAMMING    3  3  100 
EE682  SERVICE LEARNING    2  2  50 
HS621  PROJECT MANAGEMENT AND FINANCE    3  3  100 
7 Semester  2019  Batch  
Course Code 
Course 
Type 
Hours Per Week 
Credits 
Marks 
CEOE761E01  SUSTAINABLE AND GREEN TECHNOLOGY  Generic Elective  3  3  100 
CEOE761E03  GIS AND REMOTE SENSING TECHNIQUES AND APPLICATIONS  Generic Elective  3  3  100 
EE741B  ELECTRIC AND HYBRID VEHICLES  Core Courses  3  3  100 
EE742D  PROGRAMMABLE LOGIC CONTROLLERS  Core Courses  4  3  100 
EE743C  WIRELESS SENSOR NETWORKS  Core Courses  4  3  100 
EE781  PROJECT WORK STAGE I  Core Courses  4  2  100 
EE782  SERVICE LEARNING  Core Courses  2  2  50 
EE783  INTERNSHIP  Core Courses  2  2  50 
MA736OE3  NUMERICAL SOLUTIONS OF DIFFERENTIAL EQUATIONS  Generic Elective  3  3  100 
ME761E03  BASIC AUTOMOBILE ENGINEERING  Generic Elective  3  3  100 
ME761E05  BASIC AEROSPACE ENGINEERING  Generic Elective  3  3  100 
MICS735  DATABASE SYSTEM    5  4  100 
PH736OE1  NANO MATERIALS AND NANOTECHNOLOGY  Generic Elective  3  3  100 
8 Semester  2019  Batch  
Course Code 
Course 
Type 
Hours Per Week 
Credits 
Marks 
EE841D  ENERGY STORAGE SYSTEMS    4  3  100 
EE842C  COMPUTER COMMUNICATION NETWORKS    4  3  100 
EE881  PROJECT WORK STAGE II    20  10  200 
CY321  CYBER SECURITY (2021 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 
Max Marks:0 
Credits:0 
Course Objectives/Course Description 

This mandatory course is aimed at providing a comprehensive overview of the different facets of Cyber Security. In addition, the course will detail into specifics of Cyber Security with Cyber Laws both in Global and Indian Legal environments 

Course Outcome 

CO1: Describe the basic security fundamentals and cyber laws and legalities CO2: Describe various cyber security vulnerabilities and threats such as virus, worms, online attacks, Dos and others. CO3: Explain the regulations and acts to prevent cyberattacks such as Risk assessment and security policy management. CO4: Explain various vulnerability assessment and penetration testing tools. CO5: Explain various protection methods to safeguard from cyberattacks using technologies like cryptography and Intrusion prevention systems. 
Unit1 
Teaching Hours:6 
UNIT 1


Security Fundamentals4 As Architecture Authentication Authorization Accountability, Social Media, Social Networking and Cyber Security.Cyber Laws, IT Act 2000IT Act 2008Laws for CyberSecurity, Comprehensive National CyberSecurity Initiative CNCI – Legalities  
Unit2 
Teaching Hours:6 
UNIT 2


Cyber Attack and Cyber Services Computer Virus – Computer Worms – Trojan horse.Vulnerabilities  Phishing  Online Attacks – Pharming  Phoarging – Cyber Attacks  Cyber Threats  Zombie stuxnet  Denial of Service Vulnerabilities  Server HardeningTCP/IP attackSYN Flood  
Unit3 
Teaching Hours:6 
UNIT 3


Cyber Security Management Risk Management and Assessment  Risk Management Process  Threat Determination Process Risk Assessment  Risk Management Lifecycle.Security Policy Management  Security Policies  Coverage Matrix Business Continuity Planning  DisasterTypes  Disaster Recovery Plan  Business Continuity Planning Process  
Unit4 
Teaching Hours:6 
UNIT 4


Vulnerability  Assessment and Tools: Vulnerability Testing  Penetration Testing Black box white box.Architectural Integration: Security Zones  Devicesviz Routers, Firewalls, DMZ. Configuration Management  Certification and Accreditation for CyberSecurity.  
Unit5 
Teaching Hours:6 
UNIT 5


Authentication and Cryptography: Authentication  Cryptosystems  Certificate Services, Securing Communications: Securing Services  Transport – Wireless  Steganography and NTFS Data Streams. Intrusion Detection and Prevention Systems: Intrusion  Defense in Depth  IDS/IPS IDS/IPS Weakness and Forensic AnalysisCyber Evolution: Cyber Organization – Cyber Future  
Text Books And Reference Books: R1. Matt Bishop, “Introduction to Computer Security”, Pearson, 6^{th} impression, ISBN: 9788177584257. R2. Thomas R, Justin Peltier, John, “Information Security Fundamentals”, Auerbach Publications. R3. AtulKahate, “Cryptography and Network Security”, 2^{nd} Edition, Tata McGrawHill.2003 R4. Nina Godbole, SunitBelapure, “Cyber Security”, Wiley India 1^{st} Edition 2011 R5. Jennifer L. Bayuk and Jason Healey and Paul Rohmeyer and Marcus Sachs, “Cyber Security Policy Guidebook”, Wiley; 1 edition , 2012 R6. Dan Shoemaker and Wm. Arthur Conklin, “Cyber security: The Essential Body Of Knowledge”, Delmar Cengage Learning; 1 edition, 2011 R7. Stallings, “Cryptography & Network Security  Principles & Practice”, Prentice Hall, 6th Edition 2014  
Essential Reading / Recommended Reading NIL  
Evaluation Pattern Only CIA will be conducted as per the University norms. No ESE Maximum Marks : 50  
EE332P  ELECTRICAL MACHINES  I (2021 Batch)  
Total Teaching Hours for Semester:60 
No of Lecture Hours/Week:4 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

· To summarize the concept of rotating machines and the principle of electromechanical energy conversion and performance of DC machines · To discuss methods of DC motor speed control and basics of DC motor drives. · To identify the constructional details of different type of transformers, working principle and their performance. · To estimate the various losses taking place in D.C. machines and transformers and to study the different testing method to arrive at their performance. · To conduct standard tests on DC machines and transformers and analyse their results 

Course Outcome 

CO1: Understand the operating principles of a DC generators and analyze the characteristics of self and separately excited DC generators CO2: Analyze the characteristics and speed control of different types of DC motors and determine the application possibilities of shunt , series and compound motors CO3: Understand the operational principle of a transformer and analyze the transformer performance on no load and on load. CO4: Understand the protection methods of transformers and the application of special purpose transformers CO5: Understand testing methods employed for DC machines and transformers determine the efficiency on no load and on load. 
Unit1 
Teaching Hours:9 
DC GENERATORS


Constructional details – emf equation – Methods of excitation – Self and separately excited generators– Characteristics of series, shunt and compound generators – Armature reaction and commutation –Parallel operation of DC shunt and compound generators.  
Unit2 
Teaching Hours:9 
DC MOTORS


Principle of operation – Back emf and torque equation – Characteristics of series, shunt and  
Unit3 
Teaching Hours:9 
TRANSFORMERS


Constructional details of core and shell type transformers – Types of windings – Principle of operation – emf equation – Transformation ratio – Transformer on noload – Transformer on load – Equivalent circuit –Regulation – Parallel operation of single phase transformers  
Unit4 
Teaching Hours:9 
EFFICIENCY AND TESTING OF DC MACHINES AND TRANSFORMERS


Losses and efficiency in DC machines, Condition for maximum efficiency, Testing of DC machines Swineburnes test, Hopkinsons test , load test, Losses and efficiency of transformers, Testing of transformers – load test, OC and SC tests, All day efficiency  
Unit5 
Teaching Hours:9 
SOLID STATE CONTROLLED DRIVES


ACDC and DC DC converters, Solid state controlled drives Control of DC drives fed through singlephase semiconverter, fullconverter, dual converter and chopper configurations  
Unit6 
Teaching Hours:30 
Laboratory Experiments


 
Text Books And Reference Books: TEXT BOOKS: T1. D.P. Kothari and I.J. Nagrath, ‘Electric Machines’, Tata McGraw Hill Publishing Company Ltd, 2002. T2. P.S. Bimbhra, ‘Electrical Machinery’, Khanna Publishers, 2003 T3. Electrical Technology, Vol. II , S Chand Publishers, 2009 Edition T4. Fundamentals of Electrical drives, G K Dubey, CRC Press, 2002
 
Essential Reading / Recommended Reading REFERENCE BOOKS: 1. R1. A.E. Fitzgerald, Charles Kingsley, Stephen. D. Umans, ‘Electric Machinery’, Tata McGraw Hill publishing Company Ltd, 2003. R2. S. J. Chapman, Electric Machinery Fundamentals, 3rd ed., McGrawHill, 1  
Evaluation Pattern
ASSESSMENT OF THEORY COURSE WITH PRACTICAL COMPONENT
· CIA : 70 marks · End sem exam : 30 marks TOTAL : 100 marks
CIA Evaluation: CIA 1 (theory): 10 marks CIA 2(theory): 10 marks CIA 3(theory): 10 marks Attendance: 05 marks Lab CIA : 35 marks Components of lab CIA End sem exam : 20 marks · Observations/Lab Record : 15 marks TOTAL : 35 marks End Semester Exam for lab The ESE is conducted for 3 hours duration. · Write up & Viva – voce : 10 marks · Execution : 10 marks TOTAL : 20 marks
THEORY END SEM EXAMINATION Eligibility:Student has to score minimum of 40 % marks in Lab CIA The ESE is conducted for 100 marks of 3 hours duration, scaled to 30 % Components of theory CIA CIA I : Assignments/tests/quiz : 10marks CIA II: Mid Semester Examination (Theory) :10 marks CIA III: Quiz/Seminar/Case Studies/Project Work/ Online Course (optional) /projects/publications/innovativeness : 10 marks Attendance :05 marks Total : 35 marks
 
EE333P  ANALOG AND DIGITAL ELECTRONICS (2021 Batch)  
Total Teaching Hours for Semester:75 
No of Lecture Hours/Week:6 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

Course Description This course describes the applications of the Electronic devices in the analog and digital areas. Course Objectives This course deals electronic devices and their application as switches, amplifiers and their applications. This course also deals with digital logic systems, combinational and sequential circuits and programmable devices 

Course Outcome 

CO1: Understand the characteristics of transistors CO2: Design and analyse various operational amplifier circuits CO3: Design and implement Combinational and Sequential logic circuits CO4: Understand the process of Analog to Digital conversion and Digital to Analog conversion. CO5: Be able to use PLDs to implement the given logical problem 
Unit1 
Teaching Hours:9 

Electronic Switches


PN junction diode, IV characteristics of a diode, clamping and clipping circuits. BJT Structure, IV characteristics of BJT, BJT as a switch, MOSFET: Structure and IV characteristics. MOSFET as a switch. MOSFET as an amplifier: smallsignal model and biasing circuits, commonsource, commongate and commondrain amplifiers; small signal equivalent circuits  gain, input and output impedances, transconductance, high frequency equivalent circuit.  
Unit2 
Teaching Hours:9 

Differential, multistage and operational amplifiers


 
Unit3 
Teaching Hours:9 

Digital systems and logic families


Number systems, one’s and two’s complements arithmetic, codes, error detecting and correcting codes, characteristics of digital lCs, digital logic families, TTL, Schottky TTL and CMOS logic, interfacing CMOS and TTL  
Unit4 
Teaching Hours:9 

Combinational and sequential circuits


Combinational Circuits: Multiplexer, DeMultiplexer/Decoders, Adders, Subtractors, BCD arithmetic, carry look ahead adder, serial adder, digital comparator, parity checker/generator, code converters, priority encoders, decoders/drivers for display devices, QM method of function realization. Sequential Circuits: SR flip flop, J KT and Dtypes flip flops, shift registers, serial to parallel converter, parallel to serial converter, ring counter, sequence generator, ripple(Asynchronous) counters, synchronous counters, special counter IC’s,  
Unit5 
Teaching Hours:9 

Converters, memories and Programmable logic devices


Digital to analog converters: weighted resistor/converter, R2R Ladder D/A converter, specifications for D/A converters, examples of D/A converter lCs, sample and hold circuit, analog to digital converters: quantization and encoding, parallel comparator A/D converter, successive approximation A/D converter, dual slope A/D converter. Memory organization and operation, expanding memory size, classification And characteristics of memories, sequential memory, read only memory (ROM), read and write memory(RAM), content addressable memory (CAM), charge de coupled device memory (CCD), commonly used memory chips, ROM as a PLD, Programmable logic array, Programmable array logic, Field Programmable Gate Array (FPGA).  
Unit6 
Teaching Hours:30 

Lab Experiments


List of experiments
6. OpAmp Applications. 7. RC & LC Oscillators. 8. Applications of 555 timers. 9. Design & implementation of binary adder/subtract or using basic gates. 10. Design & implementation of application using multiplexers. 11. Design & implementation of synchronous and asynchronous counters. 12. Design & implementation of shift registers. Coding combinational circuits using HDL  
Text Books And Reference Books: Text Books
1. 1..........1.. “Electronic Devices and Circuit Theory”, Robert L. Boylestad and Louis Nashelsky, PHI/Pearson Eduication. 2012. 2.Jacob Millman & Christos C.Halkias, Electronic Devices and Circuits, Tata McGraw–Hill, 2010 . 3. 3. Millman J. and Halkias .C. “Integrated Electronics ", Tata McGrawHill. Reprint 2010 4. 4. M. Morris Mano, Digital Design, 3.ed., Prentice Hall of India Pvt. Ltd., New Delhi, 2013/Pearson Education (Singapore) Pvt. Ltd., New Delhi, 2013 – (Unit I, II, V) 5. 5. John .M Yarbrough, Digital Logic Applications and Design, Thomson Vikas publishing house, New Delhi, 2002. (Unit III, IV)
 
Essential Reading / Recommended Reading Reference Books:
4. Charles H.Roth. “Fundamentals of Logic Design”, Thomson Publication Company, 2013. 5. Donald P.Leach and Albert Paul Malvino, Digital Principles and Applications, 5 ed., Tata McGraw Hill Publishing Company Limited, New Delhi, 2013. 6. R.P.Jain, Modern Digital Electronics, 3 ed., Tata McGraw–Hill publishing company limited, New Delhi, 2013. 7. Thomas L. Floyd, Digital Fundamentals, Pearson Education, Inc, New Delhi, 2013 Online Resources: https://nptel.ac.in/courses/analog circuits/digital electronics  
Evaluation Pattern CIA: 50 Marks(Average of 3 components...CIA1, CIA2 & CIA3) ESE: 50 Marks  
EE334  ELECTRICAL CIRCUIT ANALYSIS (2021 Batch)  
Total Teaching Hours for Semester:60 
No of Lecture Hours/Week:4 

Max Marks:100 
Credits:3 

Course Objectives/Course Description 

To discuss the concept of circuit elements lumped circuits, waveforms, circuit laws and network reduction and various theorems to perform the same. o To analyze the transient response of series and parallel A.C. circuits and to solve problems in time domain using Laplace Transform. o To discuss the concept of active, reactive and apparent powers, power factor and resonance in series and parallel circuits. o To perform three phase circuit analysis. o To discuss the basic concepts of network topology and two port network parameters. o To Examine Electronic Design Automation and Printed Circuit Board. 

Course Outcome 

CO1: To analyze DC and AC circuits using circuit theorems. CO2: To solve Three phase AC circuits using complex quantities CO3: To solve networks using graph theory and to solve two port networks CO4: To analyse response of series networks to standard input signals CO5: To explain EDA process and PCB technologies 
Unit1 
Teaching Hours:12 
DC and AC Circuit Analysis


DC Circuit analysis (With dependent and independent sources), Reciprocity, Substitution, Norton’s, Tellegen’s and maximum power transfer theorems. Review of ac circuit analysis, Network theorems in ac circuits Thevenins, Norton, Maximum Power Transfer theorem,Resonance in series and parallel circuits: Q factor, halfpower frequencies and bandwidth of resonant circuits.  
Unit2 
Teaching Hours:12 
Three Phase Circuits


Three phase balanced sinusoidal wave forms, line voltage and phase voltage, line current and phase current, analysis of 3phase circuit with balanced supply voltage and with star/delta connected balanced loads. Measurement of 3phase power. Unbalances effects, Digital Energy meters.  
Unit3 
Teaching Hours:12 
NETWORK TOPOLOGY & TWO PORT NETWORK PARAMETERS


Graph of a network, Concept of tree and cotree, incidence matrix, tieset and cut set schedules Formulation of equilibrium equations in matrix form, solution of resistive networks, principle of duality. Definition of z, y, h and transmission parameters, modelling with these parameters, relationship between parameters sets, multiport networks  
Unit4 
Teaching Hours:12 
RESPONSE OF ELECTRIC CIRCUITS


Time response of RL, RC and RLC circuits for step and sinusoidal inputs, Concept of complex frequency – pole – Zero plots – frequency Response.  
Unit5 
Teaching Hours:12 
ELECTRICAL DESIGN AUTOM ATION AND PRINTED CIRCUIT BOARD


Electronic Design Automation  Analog Circuit Simulation  Types of SPICE Analysis – SPICE component model  Types of PCBs  PCB Technologies – PCB Design Flow – PCB Layout –PCB Manufacturing and Assembly Techniques  Comparison of EDA Tools – Comparison of PCB Design Tools – DC Power supply/Rectifier circuit simulation and PCB Design.  
Text Books And Reference Books: 1. Decarlo and Lin, Linear Circuit Analysis 2 ed., Oxford University Press, 2009  
Essential Reading / Recommended Reading 1. R.C. Dorf, “Introduction to Electric Circuits, John Wiley & Sons Inc, New York, Second Edition, 2013. 2. Charles K. Alexander, Mathew N.O. Sadiku, Fundamentals of Electric Circuits, McGraw Hill, N.Y, 2006.  
Evaluation Pattern ASSESSMENT  ONLY FOR THEORY COURSE (without practical component) Continuous Internal Assessment (CIA) : 50% (50 marks out of 100 marks) End Semester Examination(ESE) : 50% (50 marks out of 100 marks) Components of the CIA CIA I : Subject Assignments / Online Tests : 10 marks CIA II : Mid Semester Examination (Theory) : 25 marks CIAIII: Quiz/Seminar/Case Studies/Project/ Innovative assignments/ presentations/ publications : 10 marks Attendance : 05 marks Total : 50 marks Mid Semester Examination (MSE): Theory Papers: The MSE is conducted for 50 marks of 2 hours duration. Question paper pattern; Five out of Six questions have to be answered. Each question carries 10 marks End Semester Examination (ESE): The ESE is conducted for 100 marks of 3 hours duration. The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution. Question paper pattern is as follows. Two full questions with either or choice will be drawn from each unit. Each question carries 20 marks. There could be a maximum of three sub divisions in a question. The emphasis on the questions is to test the objectiveness, analytical skill and application skill of the concept, from a question bank which reviewed and updated every year The criteria for drawing the questions from the Question Bank are as follows 50 %  Medium Level questions 25 %  Simple level questions 25 %  Complex level questions  
EE335  ELECTROMAGNETIC FIELDS (2021 Batch)  
Total Teaching Hours for Semester:60 
No of Lecture Hours/Week:4 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 



Course Outcome 

CO1: To analyse the electric fields and potentials due to discrete and continuous charge distribution. CO2: To apply the Ampere circuital law and Biotsavart law to magnetic fields considering current carrying elements CO3: To apply the principles of electrostatics and magnetostatics to the electric and magnetic fields? boundary conditions and energy density. CO4: To interpret the concepts of Faraday?s law, induced emf and Maxwell?s equations CO5: To apply Maxwell?s equations to uniform plane wave propagation. 
Unit1 
Teaching Hours:12 
STATIC ELECTRIC FIELDS


Introduction to Coordinate System – Rectangular – Cylindrical and Spherical Coordinate System – Definition of Curl, Divergence and Gradient – Stokes theorem and Divergence theorem. Coulomb’s Law – Definition of Electric Field Intensity – Principle of Superposition – Electric Field due to discrete charges – Electric field due to continuous charge distribution – Electric Scalar Potential – – Electric Flux Density – Gauss Law –Applications
 
Unit2 
Teaching Hours:12 
STATIC MAGNETIC FIELD


The BiotSavart Law in vector form – Magnetic Field intensity due to a finite and infinite wire carrying a current I – Magnetic field intensity on the axis of a circular and rectangular loop carrying a current I – Ampere’s circuital law and simple applications. Magnetic flux density – The Lorentz force equation for a moving charge and applications – Torque on a loop carrying a current I – Magnetic moment – Magnetic Vector Potential.  
Unit3 
Teaching Hours:12 
ELECTRIC AND MAGNETIC FIELDS IN MATERIALS


Poisson’s and Laplace’s equation – Electric Polarization  Nature of dielectric materials. Capacitance – Boundary conditions for electric fields – Electric current – Current density – continuity equation for current. Inductance – Inductance of loops and solenoids – mutual inductance  Energy density in magnetic fields – Nature of magnetic materials – magnetization and permeability  magnetic boundary conditions.  
Unit4 
Teaching Hours:12 
TIME VARYING ELECTRIC AND MAGNETIC FIELDS


Ampere’s circuital law in integral form – Modified form of Ampere’s circuital law as Maxwell’s first equation. Maxwell’s Second Equation in integral form – Equation expressed in point form. Poynting Vector and the flow of power – Poynting Theorem.  
Unit5 
Teaching Hours:12 
ELECTROMAGNETIC WAVES


Electromagnetic waves and its properties, Reflection and Refraction, Propagation of EM waves, Wave Equation – Uniform Plane Waves –Wave equation for a conducting medium– Propagation in good conductors – Skin effect.  
Text Books And Reference Books:
 
Essential Reading / Recommended Reading
 
Evaluation Pattern II. ASSESSMENT  ONLY FOR THEORY COURSE (without practical component) Continuous Internal Assessment (CIA) : 50% (50 marks out of 100 marks) End Semester Examination(ESE) : 50% (50 marks out of 100 marks) Components of the CIA CIA I : Subject Assignments / Online Tests : 10 marks CIA II: Mid Semester Examination (Theory) : 25 marks CIAIII: Quiz/Seminar/Case Studies/Project/ Innovative assignments/ presentations/ publications : 10 marks Attendance : 05 marks Total : 50 marks Mid Semester Examination (MSE): Theory Papers: The MSE is conducted for 50 marks of 2 hours duration. Question paper pattern; Five out of Six questions have to be answered. Each question carries 10 marks End Semester Examination (ESE): The ESE is conducted for 100 marks of 3 hours duration. The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution. Question paper pattern is as follows. Two full questions with either or choice will be drawn from each unit. Each question carries 20 marks. There could be a maximum of three sub divisions in a question. The emphasis on the questions is to test the objectiveness, analytical skill and application skill of the concept, from a question bank which reviewed and updated every year The criteria for drawing the questions from the Question Bank are as follows 50 %  Medium Level questions 25 %  Simple level questions 25 %  Complex level questions  
HS311  TECHNICAL WRITING (2021 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 
Max Marks:50 
Credits:2 
Course Objectives/Course Description 

Course description: The course Technical Writing consists; Introduction to Technical Communication, Technical Writing, Soft Skills, Professional Presentation Skills and Professional Etiquette. It provides awareness and practice to the learners in all aspects required for effective technical writing. Course objective: This course aims to equip engineering students with effective individual and collaborative technical writing and presentation skills which are necessary to be effective technical communicators in academic and professional contexts. 

Course Outcome 

CO1: Understand the basics of technical communication and the use of formal elements of specific genres of documentation CO2: Demonstrate the nuances of technical writing, with reference to English grammar and vocabulary. CO3: Recognize the importance of soft skills and personality development for academic and professional success. CO4: Understand various techniques involved in oral communication and its application in the professional contexts. CO5: Realize the importance of having ethical work habits and professional etiquettes. 
Unit1 
Teaching Hours:6 

Introduction to Technical Communication


Communication Process, Flow, Barriers. Analyzing different kinds of technical documents, Reports/Engineering reports. Types, Importance and Structure of formal reports, information and document design  
Unit2 
Teaching Hours:6 

Technical Writing


Vocabulary for professional writing. Idioms and collocations. Writing drafts and revising, writing style and language. Writing Emails, Resumes, Video resume, Interviews, Types of interviews.  
Unit3 
Teaching Hours:6 

Soft Skills


Self development process, Personality development, Types of personality, Perception and attitudes, Emotional intelligence, Time Management, Values and beliefs, Personal goal setting, Creativity, Conflict management, Career planning  
Unit4 
Teaching Hours:6 

Professional Presentation Skills


Writing a speech, Formal presentations, Public speaking, Presentation aids, Group communication, Discussions, Organizational GD, Meetings & Conferences.  
Unit5 
Teaching Hours:6 

Professional Etiquette


Email etiquettes, Telephone Etiquettes, Engineering ethics, Role and responsibility of engineer, Work culture in jobs.  
Text Books And Reference Books: T1: David F. Beer and David McMurrey, Guide to writing as an Engineer, John Willey. New York, 2004 T2: Diane Hacker, Pocket Style Manual, Bedford Publication, New York, 2003. (ISBN 0312406843) T3: Raman Sharma, Technical Communications, Oxford Publication, London, 2004  
Essential Reading / Recommended Reading R1. Dale Jungk, Applied Writing for Technicians, McGraw Hill, New York, 2004. (ISBN: 078283574) R2. Sharma, R. and Mohan, K. Business Correspondence and Report Writing, TMH New Delhi 2002. R3. Xebec, Presentation Book, TMH New Delhi, 2000. (ISBN 0402213)
W1. Watch Hans Rosling’s presentation on TED Talks: “The best stats you’ve ever seen.” Watch the opening to this presentation.
W2. Use your search engine and search for “The Brand Called You.” The result you're looking for should be from the Fast Company website
 
Evaluation Pattern
 
MA333  MATHEMATICS III (2021 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 

Max Marks:100 
Credits:3 

Course Objectives/Course Description 

To enable the students to transform the coordinate system, solve the boundary value problems using Fourier series and Fourier transforms, solve higher order partial differential equations, solve algebraic and transcendental equations, interpolate and extrapolate the given data and solve difference equations using Z – transform 

Course Outcome 

CO1: Apply vector operators to transform the cartesian coordinate system into spherical and cylindrical forms {L3} {PO1, PO2, PO3} CO2: Predict the nature of partial differential equation, and solve it by the method of variable separable {L3} {PO1, PO2, PO3, PO4} CO3: Deduce the periodic functions as Fourier series expansion. {L4} {PO1, PO2, PO3} CO4: Evaluate non periodic functions by using the Fourier transformation. {L4} {PO1, PO2, PO3} CO5: Solve difference equations using Z ? transform {L3} {PO1, PO2, PO3} 
Unit1 
Teaching Hours:9 
COORDINATE SYSTEMS


Curvilinear Coordinate System, Gradient, divergent, curl and Laplacian in cylindrical and Spherical Coordinate system, Cylindrical Coordinates, Spherical Coordinates, Transformation between systems.  
Unit2 
Teaching Hours:9 
PARTIAL DIFFERENTIAL EQUATIONS


Formation of partial differential equations by elimination of arbitrary constants and arbitrary functions – Solution of standard types of first order partial differential equations – Lagrange’s linear equation – Linear partial differential equations of second and higher order with constant coefficients.  
Unit3 
Teaching Hours:9 
FOURIER SERIES


Fourier series – Odd and even functions – Half range Fourier sine and cosine series – Complex form of Fourier series – Harmonic Analysis.  
Unit4 
Teaching Hours:9 
FOURIER TRANSFORM


Complex Fourier transform – Sine and Cosine transforms – Properties – Transforms of simple functions – Convolution theorem – Parseval’s identity. Solution of equations using Fourier transform.  
Unit5 
Teaching Hours:9 
Z  TRANSFORM AND DIFFERENCE EQUATIONS


Ztransform  Elementary properties – Inverse Z – transform – Convolution theorem Formation of difference equations – Solution of difference equations using Z  transform.  
Text Books And Reference Books: T1. Dr. B. Grewal, “Higher Engineering Mathematics”, 43^{rd} Edition, Khanna Publishers, July 2014. T2. H. K. Das & Rajnish Verma, “Higher Engineering Mathematics”, 20^{th} Edition, S. Chand & Company Ltd., 2014. T3. Kandasamy, P., Thilagavathy, K., and Gunavathy, K., “Engineering Mathematics Volume III”, S. Chand & Company ltd., New Delhi, 2003.  
Essential Reading / Recommended Reading R1. B.V. Ramana, 6^{th} Reprint, “Higher Engineering Mathematics”, TataMacgraw Hill, 2008 R2. Churchill, R.V. and Brown, J.W., “Fourier Series and Boundary Value Problems”, Fourth Edition, McGrawHill Book Co., Singapore, 1987. R3. T. Veera Rajan, “Engineering Mathematics [For Semester III]. Third Edition. Tata McGrawHill Publishing Company. New Delhi, 2007. R4. S. L. Loney, “Plane Trigonometry”, Cambridge: University Press.  
Evaluation Pattern Continuous Internal Assessment (CIA): 50% (50 marks out of 100 marks) End Semester Examination(ESE): 50% (50 marks out of 100 marks)
Components of the CIA CIA I : Subject Assignments / Online Tests : 10 marks CIA II : Mid Semester Examination (Theory) : 25 marks CIAIII:Quiz/Seminar/Case Studies/Project/Innovative Assignments/presentations/publications: 10 marks Attendance : 05 marks Total : 50 marks
Mid Semester Examination (MSE) : The MSE is conducted for 50 marks of 2 hours duration. Question paper pattern; Five out of Six questions have to be answered. Each question carries 10 marks
End Semester Examination (ESE): The ESE is conducted for 100 marks of 3 hours duration. The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution. Question paper pattern is as follows: Two full questions with either or choice will be drawn from each unit. Each question carries 20 marks. There could be a maximum of three sub divisions in a question. The emphasis on the questions is to test the objectiveness, analytical skill and application skill of the concept, from a question bank which reviewed and updated every year The criteria for drawing the questions from the Question Bank are as follows 50 %  Medium Level questions 25 %  Simple level questions 25 %  Complex level questions  
BS451  ENGINEERING BIOLOGY LABORATORY (2021 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 
Max Marks:50 
Credits:2 
Course Objectives/Course Description 

Understanding and application of MATLAB and TINKERCAD for biological analysis which would results in better healthcare and any engineer, irrespective of the parent discipline (mechanical, electrical, civil, computer, electronics, etc.,) can use the disciplinary skills toward designing/improving biological systems. This course is designed to convey the essentials of human physiology.
The course will introduce to the students the various fundamental concepts in MATLAB and TINKERCAD for numerical analysis and circuit design using arduino.


Course Outcome 

CO1: Perform basic mathematical operation and analysis on biological parameters as BMI, ECG using MATLAB.L4 CO2: Perform basic image processing on RGB images pertaining to medical data using MATLAB. L4 CO3: Perform analysis on biological parameters using TinkerCad and design mini projects applicable for healthcare and biosensing.L4 
Unit1 
Teaching Hours:30 
LIST OF EXPERIMENTS


1. To familiarize with Matlab Online and getting used to basic functionalities used in Matlab (arrays, matrices, tables, functions) 2. To calculate the Body Mass Index (BMI) of a person and determine under what category the person falls under – underweight, normal, overweight 3. To determine the R peaks in given ECG and to find HRV using Matlab. 4. To determine the R peaks in given ECG and to find HRV using Matlab. 5. To determine the R peaks in given ECG and to find HRV using Matlab. 6. Introduction to Tinkercad and using the various tools available for running a simple program of lighting a LED bulb using Arduino (digital). 7. To design a driver motor in Tinkercad using Arduino and driver motor 8. To design a temperature sensor in Tinkercad using Arduino and TMP36 9. To design and simulate gas sensors using potentiometers, Arduino and servo motors 10. To design and simulate measuring pulse sensors using photodiodes, IR LED and Arduino 11. Preparation of biopolymers (polylactic acid) at home using homebased ingredients.  
Text Books And Reference Books:
 
Essential Reading / Recommended Reading
 
Evaluation Pattern As per university norms  
EE431P  ELECTRICAL MACHINESII (2021 Batch)  
Total Teaching Hours for Semester:90 
No of Lecture Hours/Week:6 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

· To understand Construction and performance of salient and non – salient type synchronous generators. · To understand Principle of operation and performance of synchronous motor. · To understand Construction, principle of operation and performance of induction machines. · To analyze the performance and speed control of threephase induction motors. · To understand the construction, principle of operation and performance of single phase induction motors and special machines. · To perform standard tests on synchronous machine and induction machine and analyse the results 

Course Outcome 

CO1: Understand the operating principles of synchronous generators and determine the regulation of athe generator under lagging, leading and upf loads CO2: Analyze the effect of changing load and excitation on the performance of a synchronous motor CO3: Understand the operational principle and analyse the performance characteristic of a three phase induction machine. CO4: Examine the speed control and starting methods of three phase induction motors CO5: Determine the performance characteristics of a single phase induction motor on load 
Unit1 
Teaching Hours:12 
SYNCHRONOUS GENERATOR


Constructional details – Types of rotors – emf equation – Synchronous reactance – Armature reaction – Voltage regulation – e.m.f, m.m.f, z.p.f and A.S.A methods – Synchronizing and parallel operation – Synchronizing torque  Change of excitation and mechanical input – Two reaction theory – Determination of direct and quadrature axis synchronous reactance using slip test – Operating characteristics  Capability curves.  
Unit2 
Teaching Hours:12 
SYNCHRONOUS MOTOR


Principle of operation – Torque equation – Operation on infinite bus bars  Vcurves – Power input and power developed equations – Starting methods – Current loci for constant power input, constant excitation and constant power developed.  
Unit3 
Teaching Hours:12 
THREE PHASE INDUCTION MOTOR


Constructional details – Types of rotors – Principle of operation – Slip – Equivalent circuit – Sliptorque characteristics  Condition for maximum torque – Losses and efficiency – Load test  No load and blocked rotor tests  Circle diagram – Separation of no load losses – Double cage rotors – Induction generator – Synchronous induction motor.  
Unit4 
Teaching Hours:12 
STARTING AND SPEED CONTROL OF THREE PHASE INDUCTION MOTOR


Need for starting – Types of starters – Stator resistance and reactance, rotor resistance, autotransformer and stardelta starters – Speed control – Change of voltage, torque, number of poles and slip – Cascaded connection – Slip power recovery scheme.  
Unit5 
Teaching Hours:12 
SINGLE PHASE INDUCTION MOTORS AND GENERALISED MACHINE THEORY


Constructional details of single phase induction motor – Double revolving field theory and operation – Equivalent circuit – No load and blocked rotor test – Performance analysis – Starting methods of singlephase induction motors 
Generalised machine theory machine as a circuit model parameters conventions models for dc machines, synchronous machines, induction machines and transformers introduction to digital simulation of systems comprising of machines.  
Unit6 
Teaching Hours:30 
LIST OF EXPERIMENTS


1. Regulation of three phase alternator by emf and mmf methods 2. Regulation of three phase alternator by ZPF and ASA methods 3. Regulation of three phase salient pole alternator by slip test 4. Measurements of negative sequence and zero sequence impedance of alternators. 5. V and Inverted V curves of Three Phase Synchronous Motor. 6. Load test on threephase induction motor. 7. No load and blocked rotor test on threephase induction motor. 8. Separation of Noload losses of threephase induction motor. 9. Load test on singlephase induction motor
10.No load and blocked rotor test on singlephase induction motor.  
Text Books And Reference Books: 1. D.P. Kothari and I.J. Nagrath, ‘Electric Machines’, Tata McGraw Hill Publishing Company Ltd, 2002.
2. P.S. Bhimbhra, ‘Electrical Machinery’, Khanna Publishers, 2003.  
Essential Reading / Recommended Reading 1. A.E. Fitzgerald, Charles Kingsley, Stephen.D.Umans, ‘Electric Machinery’, Tata McGraw Hill publishing Company Ltd, 2003. 2. J.B. Gupta, ‘Theory and Performance of Electrical Machines’, S.K.Kataria and Sons, 2002. 3. Sheila.C.Haran, ‘Synchronous, Induction and Special Machines’, Scitech Publications, 2001.  
Evaluation Pattern ASSESSMENT OF THEORY COURSE WITH PRACTICAL COMPONENT (for 2016 Batch only) · Theory : 70 marks · Laboratory : 30 marks TOTAL :100 marks LABORATORY EVALUATION (30 marks)
· CIA : 15 Marks and · End Semester Exam (ESE) : 15 Marks
Components of the CIA · Conduct of experiments : 10 marks · Observations/Lab Record : 05 marks TOTAL : 15 marks Eligibility for ESE: minimum of 40 % in CIA
End Semester Exam (ESE) The ESE is conducted for 3 hours duration. · Write up & Viva – voce : 05 marks · Execution : 10 marks TOTAL : 15 marks THEORY EXAMINATION (for 70 marks)
Eligibility: Cleared practical exam with the minimum of 40 % marks · 35 Marks CIA and 35 Marks End Semester Exam (ESE)
Components of the CIA CIA I : Assignments/tests/quiz :05marks CIA II: Mid Semester Examination (Theory) :20 marks CIA III: Quizzes/Seminar/Case Studies/Project Work/ Online Course (optional) /projects/publications/innovativeness :05 marks Attendance :05 marks Total : 35 marks End Semester Examination (ESE):
· The ESE is conducted for 100 marks of 3 hours duration, scaled to 70 % and pattern remain same as for the course without practical  
EE432P  CONTROL SYSTEMS (2021 Batch)  
Total Teaching Hours for Semester:90 
No of Lecture Hours/Week:6 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

COURSE OBJECTIVES · To write the different methods of representation of systems and getting their transfer function models. · To illustrate time response of systems and its analysis. · To explain the open loop and closed–loop frequency responses of systems. · To describe the concept of stability of control system and methods of stability analysis. · To design compensation for a control system. · To explain of state space analysis. · To model and test the performance of controllers and system on MATLAB · To analyze the performance a few given systems by finding the transfer functions. 

Course Outcome 

CO1: Define basic principles and techniques in designing linear control systems. CO2: Apply knowledge of control theory for practical implementations in engineering and network analysis CO3: Explain the basic concepts of state space modelling and analysis. CO4: Model and test the performance of controllers and system on MATLAB CO5: Analyze the performance a few given systems by finding the transfer functions. 
Unit1 
Teaching Hours:12 
INTRODUCTION TO CONTROL SYSTEM


Controlled Situations and Type of Control systems, Basic elements in control systems – Open and closed loop systems, Linear and Nonlinear systems, Continuous and discrete control systems – Introduction, properties and application of Laplace Transform  Matrix definitions and operations, Scalar and Vector space  Characteristics equation – Practical Control Systems  Definition of Stability, Controllability and Obervability  Sensors, transducers, actuators – Data acquisition  
Unit2 
Teaching Hours:12 
MODELING OF A SYSTEM


Mathematical Model of Systems (Differential equations, Transfer function, Impulse response, State equations)  Schematic Representation of system (block diagram, signalflow graphs)  Electrical analogy of mechanical and thermal systems – Block diagram reduction techniques  Synchros – AC and DC servomotors  
Unit3 
Teaching Hours:12 
TIME AND FREQUENCY DOMAIN ANALYSIS


Stability analysis using Root loci technique  Bode plot  RouthHurwitz criterion  Nyquist stability criterion  Polar plot  
Unit4 
Teaching Hours:12 
DESIGN OF CONTROL SYSTEM


Time and frequency domain specifications  Time response of first order and second order systems  Steady State Error  Design of PID Controllers  Design of Lag, Lead, LagLead Compensator – Process Control.  
Unit5 
Teaching Hours:12 
STATE SPACE ANALYSIS.


State space representation – Advantages of State space analysis over transfer function method – Canonical forms  Solution of state equation  Stability, Controllability and Obervability of a system.  
Unit6 
Teaching Hours:30 
Lab Experiments.


PROGRAMMING EXPERIMENTS 1. 1. Design and implementation of compensators. 2. 2.Design of P, PI and PID controllers. 3. 3. Stability analysis of linear systems. 4. State space modeling of electronic circuit and comparison of stability analysis of state space modeling and transfer function modeling. 2. 5. Digital simulation of linear systems.
HARDWARE EXPERIMENTS
3. 6.Determination of transfer function parameters of a DC servo motor. 4. 7. Determination of transfer function parameters of AC servo motor. 5. 8.Study of synchros. 6. 9. Analog simulation of type0 and type1 system. 7. 10. Realtime hybrid data acquisition and control.
SIMULINK EXPERIMENTS
8. 11. Analysis and Design of Aircraft Pitch Controller 9. 12. Analysis of Vehicle Suspension System
 
Text Books And Reference Books:
1. J.C. Doyle, B.A. Francis and A.R. Tannenbaum, Feedback Control Theory, Maxwell Macmilan International edition. 1992. 2. C.L. Phillips and R.D. Harbour, Feedback Control Systems, Prentice Hall, 1985 3. B.C. Kuo, ‘Automatic Control Systems’, Prentice Hall of India Ltd., New Delhi, 1995. 4. M. Gopal, ‘Control Systems, Principles & Design’, Tata McGraw Hill, New Delhi, 2002. 5. Norman S. Nise, Control Systems Engineering, 4th edition, New York, John Wiley, 2003. (Indian edition) 6. M.N. Bandyopadhyay, ‘Control Engineering Theory and Practice’, Prentice Hall of India, 2003.  
Essential Reading / Recommended Reading
1. K. Ogata, ‘Modern Control Engineering’, 4^{th} edition, Pearson Education, New Delhi, 2003 / PHI. 2. I.J. Nagrath & M. Gopal, ‘Control Systems Engineering’, New Age International Publishers, 2003.  
Evaluation Pattern
ASSESSMENT PATTERN : · Theory : 70 marks · Laboratory : 30 marks TOTAL :100 marks LABORATORY EVALUATION (30 marks)
· CIA : 15 Marks and · End Semester Exam (ESE) : 15 Marks
Components of the CIA · Conduct of experiments : 10 marks · Observations/Lab Record : 05 marks TOTAL : 15 marks Eligibility for ESE: minimum of 40 % in CIA
End Semester Exam (ESE) The ESE is conducted for 3 hours duration. · Write up & Viva – voce : 05 marks · Execution : 10 marks TOTAL : 15 marks THEORY EXAMINATION (for 70 marks)
Eligibility: Cleared practical exam with the minimum of 40 % marks · 35 Marks CIA and 35 Marks End Semester Exam (ESE)
Components of the CIA CIA I: Assignments/tests/quiz :05marks CIA II: Mid Semester Examination (Theory) :20 marks CIA III: Quizzes/Seminar/Case Studies/Project Work/ Online Course (optional) /projects/publications/innovativeness :05 marks Attendance :05 marks Total : 35 marks End Semester Examination (ESE): The ESE is conducted for 100 marks of 3 hours duration, scaled to 70 %.
 
EE433  SIGNALS AND SYSTEMS (2021 Batch)  
Total Teaching Hours for Semester:60 
No of Lecture Hours/Week:4 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

· To understand the properties and representation of continuous and discrete time signals. · To understand the sampling process and analysis of discrete systems using ztransforms.
· To understand the analysis and synthesis of discrete time systems. 

Course Outcome 

CO1: Discuss classification of signals into Continuous and discrete signals based on various criteria. CO2: Analyse of LTI systems based on Convolution Integral operation CO3: Discuss about frequency response of LTI systems and analysis using Fourier and Laplace transformations. CO4: Discuss Sampling theorem and processing of samples to reconstruct the signals from samples. CO5: Analyse of LTI systems based on Convolution Sum operation. 
Unit1 
Teaching Hours:12 
REPRESENTATION OF SIGNALS AND SYSTEMS


Continuous and discrete time signals: Classification of Signals – Periodic & Aperiodic, Even& Odd, and Energy& Power signals, Deterministic & Random signals, Transformation in independent variable of signals: time scaling, time shifting, time reversal. Complex exponential and Sinusoidal signals, Periodicity of continuous and discrete signals, Basic/Elementary functions: unit impulse, unit step functions, Basic system properties.  
Unit2 
Teaching Hours:12 
LINEAR TIMEINVARIANT CONTINUOUS TIME SYSTEMS


Introduction, Convolution Integral, Properties of Linear Time Invariant Systems. Differential Equations representation of Systems, Solving Differential Equations, Natural and Forced Response of the system, Block Diagram Representation.  
Unit3 
Teaching Hours:12 
FOURIER ANALYSIS OF CONTINUOUS AND DISCRETE TIME SIGNALS AND SYSTEMS


Introduction, Frequency response of LTI systems, Fourier representation of Four Classes of signals, Fourier series, Fourier Transform, Discrete Time Fourier Series, Discrete Time Fourier Transform, Properties of Fourier Representations, Continuous time Fourier Transform and Laplace Transform analysis with examples, convolution in time and frequency domains.  
Unit4 
Teaching Hours:12 
SAMPLING THEOREM AND zTRANSFORMS


Representation of continuous time signals by its sample  Sampling theorem – Reconstruction of a Signal from its samples, aliasing – discrete time processing of continuous time signals, sampling of band pass signals. Basic principles of ztransform  ztransform definition – region of convergence – properties of ROC – Properties of ztransform – Poles and Zeros – inverse ztransform  
Unit5 
Teaching Hours:12 
LINEAR TIMEINVARIANT DISCRETE TIME SYSTEMS


Introduction, Convolution sum, Properties of Linear Time Invariant Systems. Difference Equations representation of Systems, Solving Difference Equations, Natural and Forced Response of the system, Block Diagram Representation.  
Text Books And Reference Books: 1. Alan V.Oppenheim, Alan S.Willsky with S.Hamid Nawab, Signals & Systems, 2^{nd} edn., Pearson Education, 1997.  
Essential Reading / Recommended Reading 1. Simon Haykin and Barry Van Veen, Signals and Systems, John Wiley, 1999 2. John G.Proakis and Dimitris G.Manolakis, Digital Signal Processing, Principles, Algorithms and Applications, 3^{rd} edn., PHI, 2000. 3. M.J.Roberts, Signals and Systems Analysis using Transform method and MATLAB, TMH 2003. 4. K.Lindner, “Signals and Systems”, McGraw Hill International, 1999
5. Moman .H. Hays,” Digital Signal Processing “, Schaum’s outlines, Tata McGrawHill Co Ltd., 2004.  
Evaluation Pattern · Continuous Internal Assessment (CIA) for Theory papers: 50% (50 marks out of 100 marks) · End Semester Examination(ESE) : 50% (50 marks out of 100 marks)
Components of the CIA CIA I : Assignments : 10 marks CIA II : Mid Semester Examination (Theory) : 25 marks CIA III : Quizzes/Seminar/Case Studies/Project Work : 10 marks Attendance : 05 marks
Total : 50 marks  
EE434  GENERATION AND TRANSMISSION (2021 Batch)  
Total Teaching Hours for Semester:60 
No of Lecture Hours/Week:4 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

To introduce conventional and nonconventional energy generation principles, economics of generation, transmission system parameters and characteristics.


Course Outcome 

CO1: To explain conventional energy conversion methods. CO2: To explain nonconventional energy conversion methods. CO3: To analyse economics of power generation CO4: To analyse transmission system using system parameters CO5: To discuss the transmission line performance improvement techniques. 
Unit1 
Teaching Hours:9 

CONVENTIONAL POWER GENERATION


Importance of Electrical Energy  Generation of Electrical Energy – Sources of Energy – Comparison of Energy Sources – Conventional Power Generation: Steam Power Station – Hydro Electric Power Station – Diesel Power Station – Nuclear Power Station – Gas Turbine Power Plant.  
Unit2 
Teaching Hours:9 

NONCONVENTIONAL POWER GENERATION


Need of nonconventional power generation  Solar Energy  Wind Energy  Tidal Energy Geothermal Energy – Biomass; comparisons of all types of nonconventional power generation sources with their advantages and disadvantages  
Unit3 
Teaching Hours:9 

ECONOMICS OF POWER GENERATION


Economics of generation: definitions – load curves – number and size of units – cost of electrical energy – tariff. Economics of power factor improvement: design for improvement of power factor using power capacitors  
Unit4 
Teaching Hours:9 

TRANSMISSION SYSTEM PERFORMANCE


Calculation of inductance and capacitance of single phase and three phase for balanced and unbalanced circuits; Classification of Transmission Lines – Performance (voltage regulation and efficiency) assessment for short, medium (NominalT, NominalPie) and long transmission lines – ABCD Parameters of short. medium and long transmission lines  
Unit5 
Teaching Hours:9 

METHODS TO IMPROVE TRANSMISSION SYSTEM PERFORMANCE


 
Text Books And Reference Books:
T1. Electrical power systems  by C. L. Wadhwa, New Age International (P) Limited, Publishers, 1998. T2. Electrical Power Generation, Transmission and Distribution by S. N. Singh., PHI, 2013.  
Essential Reading / Recommended Reading
R1. Luces M.Fualkenberry ,Walter Coffer, ‘Electrical Power Distribution and Transmission’, Pearson Education, 2012.
R2. Hadi Saadat, ‘Power System Analysis,’ Tata McGraw Hill Publishing Company’, 2013.
R3. Central Electricity Authority (CEA), ‘Guidelines for Transmission System Planning’, New Delhi.
R4. A Text Book on Power System Engineering by M.L.Soni, P.V.Gupta, U.S.Bhatnagar, A.Chakrabarthy, Dhanpat Rai & Co Pvt. Ltd.
R5. Electric Energy systems Theory – by O.I.Elgerd, Tata Mc Grawhill Publishing Company Ltd., Second edition. R6. Modern Power System Analysis by I.J.Nagaraj and D.P.Kothari, Tata McGraw Hill, 2nd Edition.  
Evaluation Pattern
ASSESSMENT  ONLY FOR THEORY COURSE (without practical component)
Continuous Internal Assessment (CIA) : 50% (50 marks out of 100 marks)
End Semester Examination(ESE) : 50% (50 marks out of 100 marks)
Components of the CIA
CIA I : Subject Assignments / Online Tests : 10 marks
CIA II : Mid Semester Examination (Theory) : 25 marks
CIAIII: Quiz/Seminar/Case Studies/Project/
Innovative assignments/ presentations/ publications : 10 marks
Attendance : 05 marks
Total : 50 marks
Mid Semester Examination (MSE): Theory Papers:
The MSE is conducted for 50 marks of 2 hours duration.
Question paper pattern; Five out of Six questions have to be answered. Each question carries 10 marks
End Semester Examination (ESE):
The ESE is conducted for 100 marks of 3 hours duration.
The syllabus for the theory papers are divided into FIVE units and each unit carries equal Weightage in terms of marks distribution.
 
EVS421  ENVIRONMENTAL SCIENCE (2021 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 

Max Marks:0 
Credits:0 

Course Objectives/Course Description 

To understand the scope and importance of environmental science towards developing a conscious community for environmental issues, both at global and local scale. 

Course Outcome 

CO1. Explain the components and concept of various ecosystems in the environment (L2, PO7) CO2. Explain the necessity of natural resources management (L2, PO1, PO2 and PO7) CO3.Relate the causes and impacts of environmental pollution (L4, PO1, PO2, and PO3, PO4) CO4.Relate climate change/global atmospheric changes and adaptation (L4,PO7) CO5. Appraise the role of technology and institutional mechanisms for environmental protection (L5, PO8)

Unit1 
Teaching Hours:6 
Introduction


Environment and Eco systems – Definition, Scope and importance. Components of environment. Concept and Structure of eco systems. Material Cycles – Nitrogen, Carbon, Sulphur, Phosphorous, Oxygen. Energy Flow and classification of Eco systems.  
Unit2 
Teaching Hours:6 
Natural Resources


Classification and importance Forest, Water, Mineral, Food, Energy. Management of natural resources – challenges and methods. Sustainable development – Goals, Agriculture, Industries  
Unit3 
Teaching Hours:6 
Environmental Pollution


Causes and Impacts – Air pollution, Water pollution, Soil Pollution, Noise Pollution, Marine Pollution, Municipal Solid Wastes, Bio Medical and EWaste. Solid Waste Management  
Unit4 
Teaching Hours:6 
Climate change/Global Atmospheric Change


Global Temperature, Greenhouse effect, global energy balance, Global warming potential, International Panel for Climate Change (IPCC) Emission scenarios, Oceans and climate change. Adaptation methods. Green Climate fund. Climate change related planning small islands and coastal region. Impact on women, children, youths and marginalized communities  
Unit5 
Teaching Hours:6 
Environmental Protection


Technology, Modern Tools – GIS and Remote Sensing,. Institutional Mechanisms  Environmental Acts and Regulations, Role of government, Legal aspects. Role of Nongovernmental Organizations (NGOs) , Environmental Education and Entrepreneurship  
Text Books And Reference Books: T1Kaushik A and Kaushik. C. P, “Perspectives in Environmental Studies”New Age International Publishers, New Delhi, 2018 [Unit: I, II, III and IV] T2Asthana and Asthana, “A text Book of Environmental Studies”, S. Chand, New Delhi, Revised Edition, 2010 [Unit: I, II, III and V] T3Nandini. N, Sunitha. N and Tandon. S, “environmental Studies” , Sapana, Bangalore, June 2019 [Unit: I, II, III and IV] T4R Rajagopalan, “Environmental Studies – From Crisis to Cure”, Oxford, Seventh University Press, 2017, [Unit: I, II, III and IV]
 
Essential Reading / Recommended Reading R1.Miller. G. T and Spoolman. S. E, “Environmental Science”, CENAGE Learning, New Delhi, 2015 R2.Masters, G andEla, W.P (2015), Introduction to environmental Engineering and Science, 3rd Edition. Pearson., New Delhi, 2013. R3.Raman Sivakumar, “Principals of Environmental Science and Engineering”, Second Edition, Cengage learning Singapore, 2005. R4.P. Meenakshi, “Elements of Environmental Science and Engineering”, Prentice Hall of India Private Limited, New Delhi, 2006. R5.S.M. Prakash, “Environmental Studies”, Elite Publishers Mangalore, 2007 R6.ErachBharucha, “Textbook of Environmental Studies”, for UGC, University press, 2005. R7. Dr. Pratiba Sing, Dr. AnoopSingh and Dr. PiyushMalaviya, “Textbook of Environmental and Ecology”, Acme Learning Pvt. Ltd. New Delhi.  
Evaluation Pattern No Evaluation  
HS422  PROFESSIONAL ETHICS (2021 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 
Max Marks:50 
Credits:2 
Course Objectives/Course Description 

Understand the importance of Values and Ethics in their personal lives and professional careers 

Course Outcome 

CO1: Understand the importance of Values and Ethics in their personal lives and professional careers CO2: Learn the rights and responsibilities as an employee, team member and a global citizen CO3: Estimate the impact of self and organization?s actions on the stakeholders and society CO4: Develop an ethical behaviour under all situations CO5: Appreciate the significance of Intellectual Property as a very important driver of growth and development in today?s world and be able to statutorily acquire and use different types of intellectual property in their professional life 
Unit1 
Teaching Hours:6 
Introduction to Ethics


Introduction to Professional Ethics : Definition, Nature, Scope Moral Dilemmas moral AutonomyKohlberg’s theory Gilligan’s theory, Profession Persuasive, Definitions, Multiple motives, Models of professional goals. Moral Reasoning and Ethical theories – Professional Ideals and Virtues Theories of Right Action, Self interest, Customs and Regions Use of ethical Theories  
Unit2 
Teaching Hours:6 
Engineering as Social Experimentation and Responsibility


Engineering as Social Experimentation and Responsibility For Safety Engineering as experimentation Engineers as responsible experimenters, the challenger case, Codes of Ethics, A balanced outlook on law. Concept of safety and risk, assessment of safety and risk risk benefit analysis and reducing the risk three mile island, Chernobyl and safe exists.  
Unit3 
Teaching Hours:6 
Global Issues and Introduction To Intellectual Property


Global Issues and Introduction To Intellectual Property  Multinational corporations Environmental ethics Computer ethics and Weapons developments. Meaning and Types of Intellectual Property, Intellectual Property. Law Basics, Agencies responsible for intellectual property registration, International Organizations, Agencies and Treaties, Importance of Intellectual Property Rights.  
Unit4 
Teaching Hours:6 
Foundations of Trademarks


Foundations of Trademarks  Meaning of Trademarks, Purpose and Functions of Trademarks, types of Marks, Acquisition of Trademark rights, Common Law rights, Categories of Marks, Trade names and Business Name, Protectable Matter, Exclusions from Trademark Protection.  
Unit5 
Teaching Hours:6 
Foundations of Copyrights Law


Foundations of Copyrights Law  Meaning of Copyrights, Common Law rights and Rights under the 1976 copyright Act, Recent developments of the Copyright Act, The United States Copyright Office  
Text Books And Reference Books: T1. Mike Martin and Roland Schinzinger, “Ethics in Engineering”, McGrawHill, New York 1996. T2. Govindarajan M, Natarajan S, Senthil Kumar V. S, “Engineering Ethics”, Prentice Hall of India, New Delhi, 2004.
 
Essential Reading / Recommended Reading R1. Jayashree Suresh &B.S.Raghavan “Human values and Professional Ethics”, S. Chand, 2009.
R2. Govindarajan, Natarajan and Senthilkumar “Engineering Ethics”, PHI:009.
R3. Nagarajan “A Text Book on Professional ethics and Human values”, New Age International, 2009.
R4. Charles &Fleddermann “Engineering Ethics”, Pearson, 2009.
R5. Rachana Singh Puri and Arvind Viswanathan, I.K.”Practical Approach to Intellectual Property rights”, International Publishing House, New Delhi. 2010.
R6. A.B.Rao “Business Ethics and Professional Values”, Excel, 2009  
Evaluation Pattern CIA I Evaluated out of (20) > CIA I cnverted to (10) CIA II  Evaluated out of (50) > CIA II cnverted to ( 25) CIA III  Evaluated out of (20) > CIA III cnverted to (10) Total CIA is scaled down to 20 Att. Marks5 ESE Evaluated out of (50) > ESE converted to (25) Total marks  50  
CSOE561E04  PYTHON FOR ENGINEERS (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

By the end of the course, students will be able to: i) Develop a working knowledge for how computers operate and how computer programs are executed. ii) Evolve critical thinking and problemsolving skills using an algorithmic approach. iii) Learn about the programmer’s role in the software development process. iv) Translate realworld issues into computersolvable problems. 

Course Outcome 

CO1: Demonstrate the basic methods of formatting, outputting data, kinds of data, operators and variables. CO2: Interpret with the concepts of Boolean values, utilization of loops and operators. CO3: Experiment with functions, passing arguments and data processing. CO4: Illustrate the concept of modules, exceptions, strings and lists. CO5: Apply the fundamentals of OOP and its implementation. 
Unit1 
Teaching Hours:9 
INTRODUCTION


Introduction to Python and computer programming: Programming – absolute basics, Python – a tool, not a reptile, First program, Python literals, Operators – data manipulation tools, Variables.  
Unit2 
Teaching Hours:9 
CONDITIONAL STATEMENTS LOOPING AND ARRAY


Making decisions in Python, Python's loops, Logic and bit operations in Python, Lists – collections of data, Sorting simple lists – the bubble sort algorithm, Lists – some more details, Lists in advanced applications.  
Unit3 
Teaching Hours:9 
FUNCTIONS


Writing functions in Python, How functions communicate with their environment, Returning a result from a function, Scopes in Python. Creating functions, Tuples and dictionaries.  
Unit4 
Teaching Hours:9 
MODULES


Using modules, Some useful modules, Package, Errors, The anatomy of an exception, Some of the most useful exceptions, Characters and strings vs. computers, The nature of Python's strings, String methods, Strings in action.  
Unit5 
Teaching Hours:9 
FUNDAMENTALS OF OOP


Basic concepts of object programming, A short journey from the procedural to the object approach, Properties, Methods, and Inheritance – one of object programming foundations, Generators and closures, Processing files, Working with real files.  
Text Books And Reference Books: Text Books: T1. Eric Matthes, “Python Crash Course”, 2nd Edition: A HandsOn, ProjectBased Introduction to Programming, No Starch Press, Inc, 2016. T2. Paul Barry, “Head first Python”, 2nd Edition, O’Reilly, 2017.
 
Essential Reading / Recommended Reading Reference Books: R1: Paul Barry, “Head First Python: A BrainFriendly Guide”, Shroff/O'Reilly; Second edition (1 December 2016). R2: Martin C. Brown, ”Python: The Complete Reference”, McGraw Hill Education; Forth edition (20 March 2018).  
Evaluation Pattern Continuous Internal Assessment (CIA) : 50% (50 marks out of 100 marks) End Semester Examination (ESE) : 50% (50 marks out of 100 marks)  
CSOE561OE05  BASICS OF MACHINE LEARNING (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

• To understand the need for machine learning • To discover supervised and unsupervised learning paradigm of machine learning • To learn various machine learning techniques • To design suitable machine learning algorithms for solving problems


Course Outcome 

CO1: CO1: Describe various supervised learning methods CO3: Explain the basics of neural networks and back propagation algorithm for problem solving. CO4: Describe the usage of genetic algorithms in problem solving. CO5: Use the concept of Bayesian theory to machine learning. CO2: CO2: Discuss various unsupervised learning methods CO3: CO3: Explain the basics of neural networks and backpropagation algorithms for problemsolving. CO4: CO4: Describe the usage of genetic algorithms in problemsolving. CO5: CO5: Use the concept of Bayesian theory in machine learning. 
Unit1 
Teaching Hours:9 
SUPERVISED LEARNING


Basic methods: Distancebased methods, NearestNeighbours, Decision Trees, Naive Bayes.Linear models: Linear Regression, Logistic Regression, Generalized Linear Models.Support Vector Machines.  
Unit2 
Teaching Hours:9 
UNSUPERVISED LEARNING


Clustering: Kmeans/Kernel Kmeans,Dimensionality Reduction: PCA and kernel PCA, Matrix Factorization and Matrix Completion.  
Unit3 
Teaching Hours:9 
NEURAL NETWORKS


Neural Network Representation – Problems – Perceptrons – Multilayer Networks and Back Propagation Algorithms – Advanced Topics.  
Unit4 
Teaching Hours:9 
BAYESIAN AND COMPUTATIONAL LEARNING


Bayes Theorem – Concept Learning – Maximum Likelihood – Minimum Description Length Principle – Bayes Optimal Classifier – Gibbs Algorithm – Naïve Bayes Classifier – Bayesian Belief Network – EM Algorithm.  
Unit5 
Teaching Hours:9 
INSTANCEBASED, ANALYTICAL LEARNING AND INDUCTIVE BASED LEARNING


K Nearest Neighbour Learning – Locally weighted Regression – Radial Basis Functions – Case Based Learning Learning from perfect domain theoriesExplanation based learningSearch control knowledge.  
Text Books And Reference Books: Text Books: T1. Kevin Murphy, Machine Learning: A Probabilistic Perspective, MIT Press, 2012 T2. Tom M. Mitchell, ―Machine Learning, McGrawHill Education (India) Private Limited, 2013.
 
Essential Reading / Recommended Reading R1. EthemAlpaydin, ―Introduction to Machine Learning (Adaptive Computation andMachine Learning), The MIT Press 2004. R2.Stephen Marsland, ―Machine Learning: An Algorithmic Perspective, CRC Press, 2009. R3.T. Hastie, R. Tibshirani, J. H. Friedman, “The Elements of Statistical Learning”, Springer; 1st edition, 2001. R4. Trevor Hastie, Robert Tibshirani, Jerome Friedman, The Elements of Statistical Learning, Springer 2009 (freely available online) R5.Christopher Bishop, Pattern Recognition and Machine Learning, Springer, 2007.  
Evaluation Pattern Continuos Internal Assesment 50% End Semester Examination 50%  
EC535OE01  EMBEDDED BOARDS FOR IOT APPLICATIONS (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

The aim of this course is to introduce the architecture, programming and interfacing of peripheral devices with embedded boards for IOT applications and design IOT based smart applications. 

Course Outcome 

CO1: Understand the architecture, programming and interfacing principles of ATMEGA32 AVR microcontroller and Rasberry Pi CO2: Understand the applications of ATMEGA32 AVR microcontroller, Microprocessor and Rasberry Pi in IoT CO3: Analyze the design scheme for IoT using Microcontrollers 
Unit1 
Teaching Hours:9 

NETWORKING SENSORS


Network Architecture  Sensor Network Scenarios Optimization Goals and Figures of Merit Physical Layer and Transceiver Design ConsiderationsMAC Protocols for Wireless Sensor Networks Introduction of sensors and transducers  
Unit2 
Teaching Hours:9 

ARDUINO BOARD AND its INTERFACING


ATMEGA328 microcontroller  Architecture memory organisation – Operating modes – On chip peripherals Embedded communication interfaces Example programs using Arduino IDE Integration of peripherals (Buttons & switches, digital inputs, Matrix keypad, Basic RGB colormixing, electromechanical devices Displays sensors(Temperature, Pressure, Humidity, Water level etc.), camera, real time clock, relays, actuators, Bluetooth, Wifi)  
Unit3 
Teaching Hours:9 

IoT BASED SYSTEM DESIGN


Definition of IoT Applications and Verticals System ArchitectureTypical Process FlowsTechnological Enablers Open Standard Reference Model Design Constraints and Considerations IoT Security Experiments using Arduino Platform  
Unit4 
Teaching Hours:9 

RASBERRYPI


Introduction to Raspberry pi – configuration of Raspberry pi – programming raspberry pi  Implementation of IOT with Rasberry pi  
Unit5 
Teaching Hours:9 

IMPLEMENTATION


{This unit is entirely practical based} Implementation of a IOT based real time system. The concept of the specific embedded design has to be discussed. Eg: Smart Irrigation using IOT/IoT Based Biometrics Implementation on Raspberry Pi/ Automation etc. Note: Unit – V will be based on a group project. Each group comprising of maximum 3 members. Any microcontroller can be used in UnitV  
Text Books And Reference Books: T1.Slama, Dirak “Enterprise IOT : Strategies and Best Practices for Connected Products and services”, Shroff Publisher, 1^{st} edition,2015 T2. Ali Mazidi, Sarmad Naimi, Sepehr Naimi “AVR Microcontroller and Embedded Systems: Using Assembly and C”, Pearson 2013 T3. Wentk, “Richard Raspberry Pi”, John Wiley & Sons, 2014  
Essential Reading / Recommended Reading R1. .K. Ray & K.M.Bhurchandi, “Advanced Microprocessors and peripherals Architectures, Programming and Interfacing”, Tata McGraw Hill, 2002 reprint R2. Gibson, “Microprocessor and Interfacing” Tata McGraw Hill,II edition, 2009 R3. Muhammad Ali Mazidi, Rolin D. Mckinlay, Danny Causey “8051 Microcontroller and Embedded Systems using Assembly and C” Prentice Hall of India,2008  
Evaluation Pattern
 
EC535OE02  FUNDAMENTALS OF IMAGE PROCESSING (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 

Max Marks:100 
Credits:3 

Course Objectives/Course Description 

The aim of this course is to introduce image processing fundamentals making the students to understand the different methods available to process an image and also give them an insight about the toolbox in MATLAB which can be used to do simulations in image processing. 

Course Outcome 

CO1: Understand the basic principles of image processing CO2: Understand the tools used for image processing applications CO3: Analyze the methods used for image preprocessing CO4: Apply the compression techniques and analyze the results CO5: Develop an image processing system for a given application 
Unit1 
Teaching Hours:9 
DIGITAL IMAGE FUNDAMENTALS

