CHRIST (Deemed to University), BangaloreDEPARTMENT OF ELECTRONICS AND COMMUNICATION 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 Courses  2  0  0 
EC332  NETWORK ANALYSIS AND SYNTHESIS  Core Courses  3  3  100 
EC333P  ELECTRONIC DEVICES AND CIRCUITS  Core Courses  5  4  100 
EC334P  DIGITAL ELECTRONICS  Core Courses  5  4  100 
EC335  ELECTROMAGNETIC FIELDS  Core Courses  3  3  100 
EC351  ELECTRONIC MEASUREMENT LAB  Core Courses  2  1  100 
MA332  MATHEMATICS III  Core Courses  3  3  100 
4 Semester  2021  Batch  
Course Code 
Course 
Type 
Hours Per Week 
Credits 
Marks 
BS451  ENGINEERING BIOLOGY LABORATORY  Core Courses  2  2  50 
EC431P  ANALOG ELECTRONICS  Core Courses  5  4  100 
EC432P  ANTENNAS AND WAVE PROPAGATION  Core Courses  5  4  100 
EC433  SIGNALS AND SYSTEMS  Core Courses  3  3  100 
EC434  COMPUTER ORGANIZATION AND PROCESSORS  Core Courses  3  3  100 
EC435  COMPUTER NETWORKS  Core Courses  3  3  100 
EVS421  ENVIRONMENTAL SCIENCE  Ability Enhancement Compulsory Courses  2  0  0 
MA432  PROBABILITY AND QUEUING THEORY  Core Courses  3  3  100 
5 Semester  2020  Batch  
Course Code 
Course 
Type 
Hours Per Week 
Credits 
Marks 
CSOE561E04  PYTHON FOR ENGINEERS  Generic Elective Courses  3  3  100 
CSOE561OE05  BASICS OF MACHINE LEARNING  Generic Elective Courses  3  3  100 
EC531  CONTROL SYSTEMS  Core Courses  3  3  100 
EC532P  DIGITAL SIGNAL PROCESSING  Core Courses  5  4  100 
EC533P  MICROCONTROLLER BASED SYSTEM DESIGN  Core Courses  5  4  100 
EC544E10  OPTICAL FIBER COMMUNICATION  Discipline Specific Elective Courses  3  3  100 
EC565OE01  EMBEDDED BOARDS FOR IOT APPLICATIONS  Generic Elective Courses  3  3  100 
EC565OE02  FUNDAMENTALS OF IMAGE PROCESSING  Generic Elective Courses  3  3  100 
EC565OE03  OBSERVING EARTH FROM SATELLITE  Generic Elective Courses  3  3  100 
EE536OE01  HYBRID ELECTRIC VEHICLES  Generic Elective Courses  4  3  100 
EE536OE02  ROBOTICS AND AUTOMATION  Generic Elective Courses  4  3  100 
EE536OE03  SMART GRIDS  Generic Elective Courses  3  3  100 
IC521  INDIAN CONSTITUTION  Ability Enhancement Compulsory Courses  2  0  50 
NCCOE01  NCC1  Generic Elective Courses  3  3  100 
VECE511  MATLAB FUNDAMENTALS    2  0  100 
VECE513  MATLAB DATA ANALYSIS    2  0  100 
6 Semester  2020  Batch  
Course Code 
Course 
Type 
Hours Per Week 
Credits 
Marks 
BTGE631  CORPORATE SOCIAL RESPONSIBILITY  Generic Elective Courses  2  2  100 
BTGE632  DIGITAL MEDIA  Generic Elective Courses  2  2  100 
BTGE633  FUNCTIONAL ENGLISH  Generic Elective Courses  2  2  50 
BTGE635  INTELLECTUAL PROPERTY RIGHTS  Generic Elective Courses  2  2  100 
BTGE636  INTRODUCTION TO AVIATION  Generic Elective Courses  2  2  100 
BTGE637  PROFESSIONAL PSYCHOLOGY  Generic Elective Courses  2  2  100 
BTGE651  DATA ANALYTICS THROUGH SPSS  Generic Elective Courses  2  2  100 
BTGE652  DIGITAL MARKETING  Generic Elective Courses  2  2  100 
BTGE653  DIGITAL WRITING  Generic Elective Courses  2  2  100 
BTGE654  PHOTOGRAPHY  Generic Elective Courses  2  2  100 
BTGE655  ACTING COURSE  Generic Elective Courses  2  2  100 
BTGE656  CREATIVITY AND INNOVATION  Generic Elective Courses  2  2  100 
BTGE657  PAINTING AND SKETCHING  Generic Elective Courses  2  2  100 
BTGE658  DESIGN THINKING  Generic Elective Courses  2  2  100 
EC631P  VLSI DESIGN  Core Courses  5  4  100 
EC632P  ANALOG AND DIGITAL COMMUNICATION  Core Courses  5  4  100 
EC633  COMPUTER NETWORKS  Core Courses  3  3  100 
EC635  SERVICE LEARNING  Core Courses  2  2  100 
EC644E03  MEDICAL ELECTRONICS  Electives  4  3  100 
EC644E04  OPTOELECTRONIC DEVICES  Electives  3  3  100 
7 Semester  2019  Batch  
Course Code 
Course 
Type 
Hours Per Week 
Credits 
Marks 
CEOE761E01  SUSTAINABLE AND GREEN TECHNOLOGY  Generic Elective Courses  3  3  100 
CEOE761E03  GIS AND REMOTE SENSING TECHNIQUES AND APPLICATIONS  Generic Elective Courses  3  3  100 
EC737P  SERVICE LEARNING  Core Courses  3  2  100 
EC741E06  RELIABILITY OF ELECTRONICS SYSTEMS  Electives  3  3  100 
EC741E09  RADAR AND NAVIGATIONAL AIDS  Electives  3  3  100 
EC742E09  ROBOTIC SYSTEM DESIGN  Electives  3  3  100 
EC743E01  BIOMEDICAL SIGNAL PROCESSING  Electives  4  3  100 
EC743E05  DIGITAL IMAGE PROCESSING  Electives  3  3  100 
EC744E06  INTERNET AND JAVA  Electives  4  3  100 
EC744E08  WIRELESS SENSOR NETWORKS AND IOT  Electives  4  4  100 
EC781  INTERNSHIP  Core Courses  2  2  50 
MA736OE3  NUMERICAL SOLUTIONS OF DIFFERENTIAL EQUATIONS  Generic Elective Courses  3  3  100 
ME761E03  BASIC AUTOMOBILE ENGINEERING  Generic Elective Courses  3  3  100 
ME761E05  BASIC AEROSPACE ENGINEERING  Generic Elective Courses  3  3  100 
MICS735  DATABASE SYSTEM  Minors and Honours  5  4  100 
MIPSY735  PERFORMANCE PSYCHOLOGY  Minors and Honours  4  4  100 
PH736OE1  NANO MATERIALS AND NANOTECHNOLOGY  Generic Elective Courses  3  3  100 
8 Semester  2019  Batch  
Course Code 
Course 
Type 
Hours Per Week 
Credits 
Marks 
EC841E07  ARTIFICIAL INTELLIGENCE  Electives  3  3  100 
EC841E10  HIGH SPEED NETWORKS  Electives  3  3  100 
EC881  PROJECT WORK  Core Courses  12  6  100 
 
Introduction to Program:  
The goal of the programme is to create professionals who are well versed with the study and application of electricity, electronics and electromagnetism so that mundane jobs are taken away from men or women to machines. The entertainment & leisure industries exist since Electronics & Communication engineers exist.  
Programme Outcome/Programme Learning Goals/Programme Learning Outcome: PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problemsPO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations PO4: Conduct investigations of complex problems: Use researchbased knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice. PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one?s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. PO12: Lifelong learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change. Programme Specific Outcome: PSO1: Adapt RF & Microwave tools to design and develop antennas and components for the emerging wireless communication systems.PSO2: Analyse and apply the principles of signal processing to design and develop solutions for electronics and communication systems. PSO3: Analyse, design and develop electronic systems to solve real world problems in VLSI & Embedded Systems. PSO4: Select, specify and test electronic devices used in analog and digital application circuits  
Assesment Pattern  
As per University Norms  
Examination And Assesments  
As per University Norms 
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  
EC332  NETWORK ANALYSIS AND SYNTHESIS (2021 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

The course aims at
Realize network functions in Foster/ Cauer forms 

Course Outcome 

CO1: Analyse memoryless circuits using Mesh Analysis, Node Analysis and Network Theorems CO2: Analyse dynamic circuits using Mesh Analysis, Node Analysis and Network Theorems CO3: Analyze electric circuits using Laplace Transform CO4: Design analog filters using Butterworth, Chebyshev approximations and realize them using T and pi networks CO5: Analyse port networks using h parameters, Z parameters, Y parameters, and transmission parameters CO6: Synthesize one port networks using Foster and Cauer Forms 
Unit1 
Teaching Hours:9 
ANALYSIS OF MEMORYLESS CIRCUITS


Reference directions for two terminal elements  Kirchhoff’s Laws  Independent and Dependent Sources – Resistance Networks: Node and Mesh analysis of resistance networks containing both voltage and current independent and dependent sources  Source Transformations. Superposition, Thevenin, Norton and Maximum Power Transfer Theorems applied to resistance networks with dependent and independent current, voltage sources.  
Unit2 
Teaching Hours:9 
SINUSOIDAL STEADY STATE IN DYNAMIC CIRCUITS


Capacitors and Inductors – Current  voltage relationships – Coupled coils – Mutual Inductance – Dot Convention. Sinusoidal Steady State Analysis: Review of complex numbers – Rectangular and Polar forms – Phasors and the sinusoidal steady state response  Phasor relationships for R, L and C – Impedance and Admittance – Node and Mesh analysis, Superposition, Source transformation, Thevenin and Norton’s theorems applied to Phasor circuits – Sinusoidal Steady State power – Average Power – Maximum power transfer theorem  
Unit3 
Teaching Hours:9 
ANALYSIS OF DYNAMIC CIRCUITS USING LAPLACE TRANSFORMS


Laplace Transform as a tool to analyse Circuits – Transformation of a circuit into s domain – Transformed equivalent of resistance, capacitance, inductance and mutual inductance – Impedance and Admittance in the transform domain – Node and Mesh analysis of the transformed circuit  Excitation by sources and initial conditions – Complete response with switched dc sources  Network theorems applied to the transformed circuit – Network Functions: Driving point and Transfer functions  Poles and zeros  
Unit4 
Teaching Hours:9 
FREQUENCY RESPONSE AND FILTERS


Frequency Response: Network functions in the sinusoidal steady state with s = jω  Magnitude and Phase response  Magnitude and Phase response of First order Low pass and High pass RC/ RL circuits. Filtering: Frequency domain characteristics of ideal filters –– Non  ideal filters –Approximating functions: Butterworth, Chebyshev and elliptic filters (Magnitude response only). Design of analog filters (Butterworth and Chebyshev). Transformations in the analog domain. Classification of filters, characteristics impedance and propagation constant of pure reactive network, Ladder network, T section, p section, terminating half section. Pass bands and stop bands. Design of constantK, mderived filters. Composite filters  
Unit5 
Teaching Hours:9 
TWO PORT NETWORKS AND SYNTHESIS


Two Port Networks: Characterization of two port networks, Z, Y, ABCD and h parameters, reciprocity and symmetry. Interrelationships between the parameters, interconnections of two port networks, Ladder and Lattice networks. T & π Representation. Network Synthesis: Realizability, Positive real function, definition and properties; Hurwitz Polynomial, Properties of LC, RC and RL driving point functions, synthesis of LC, RC and RL driving point immittance functions using Foster and Cauer first and second forms.  
Text Books And Reference Books: T1. Van Valkenburg: “Network Analysis”, Third Edition, Pearson Education,2015 T2. Suresh Kumar K. S, “Electric Circuits and Networks”, First Edition , Pearson Education, 2008 T3. WaiKai Chen, “Passive and Active Filters Theory and Implementations”, John Wiley & Sons, 2009 T4. W H. Hayt, Kemmerly and S M Durbin, “Engineering Circuit Analysis”, Eighth Edition, Tata Mc.Graw Hill, 2013  
Essential Reading / Recommended Reading R1. Franklin F. Kuo: “Network Analysis and Synthesis”, Second Edition, Wiley India, 2010 R2. M.E. Van Valkenburg, “Design of Analog Filters”, Saunder‘s College Publishing, 2008 R3. V. K. Aatre: “Network Theory and Filter Design”, Second Edition, Wiley Eastern,2014  
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) : Theory Papers:
End Semester Examination (ESE): The ESE is conducted for 100 marks of 3 hours duration.  
EC333P  ELECTRONIC DEVICES AND CIRCUITS (2021 Batch)  
Total Teaching Hours for Semester:75 
No of Lecture Hours/Week:5 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

The aim of this course is to familiarize the student with the principle of operation, capabilities and limitation of various electron devices so that he or she will be able to use these devices effectively. 

Course Outcome 

CO1: Understand the biasing and small signal analysis of BJT. [L2] CO2: Understand the biasing and small signal analysis of FET. [L2] CO3: Construct the low frequency and high frequency BJT amplifiers. [L3] CO4: Examine the feedback amplifiers for different applications [L4] CO5: Perform analysis of the cascading stages of amplifiers and working principle of power devices. [L4] 
Unit1 
Teaching Hours:9 
BJT ? BIASING AND SMALL SIGNAL ANALYSIS


1. DC Biasing  BJTs : Operating Point, Transistor Biasing circuits (Fixed Bias, Emitter Bias, Voltage Divider Bias, DC Bias with voltage feedback. Transistor as a switch. 2. BJT AC Analysis: BJT as amplifier. Small signal equivalent circuits (Low frequency re and h models only). Small signal analysis of CE, CB, CC (Voltage Divider Bias) configurations using re and hybrid model – with and without bypass capacitor.  
Unit2 
Teaching Hours:9 
FET ? BIASING AND AMPLIFIERS


1. JFET: Construction, Operation, Characteristic, Shockley's Equation, Transfer Characteristics and Applications, MOSFET :Enhancement type MOSFET and Depletion MOSFET – Construction, Operation and Characteristics, Handling precautions for MOSFET 2. FET Biasing: Fixed Bias Configuration, Self – Bias Configuration, Voltage Divider Biasing. Depletion Type MOSFETs, Enhancement Type MOSFETs, FET Amplifiers: FET Small Signal Model  
Unit3 
Teaching Hours:9 
FREQUENCY RESPONSE AND HIGH FREQUENCY ANALYSIS


1. General shape of frequency response of amplifiers. Definition of bel, decibel, cut off frequencies and bandwidth. Low frequency analysis of amplifiers to obtain lower cut off frequency. 2. Hybrid – pi equivalent circuit of BJTs. High frequency analysis of BJT amplifiers to obtain upper cut off frequency  
Unit4 
Teaching Hours:9 
FEEDBACK AMPLIFIERS


Feedback Amplifiers: Negative and positive feedback. Properties of negative and positive feedback, negative feedback configurations, analysis of negative feedback amplifiers for gain, frequency response, input impedance, and output impedance of different configurations (voltage series, current series, voltage shunt, and current shunt)  
Unit5 
Teaching Hours:9 
CASCADE SYSTEMS AND POWER CONTROL DEVICES


CASCADE SYSTEMS: Analysis of frequency response and gain for BJT and FET amplifiers POWER CONTROL DEVICES: Power control devices: PNPN diode (Shockley diode) SCR characteristics – LASCR (Light Activated SCR) – TRIAC – DIAC – Structure & Characteristics. Characteristics and equivalent circuit of UJT  intrinsic standoff ratio  
Text Books And Reference Books: T1. Robert L. Boylestead & Louis Nashelsky, “Electronic Devices and Circuit Theory”, 10^{th} ed., Pearson Education, 2009. T2. Jacob Millman & Christos C. Halkias, “Electronic Devices and Circuits”, Tata McGrawHill Education Pvt. Ltd., 2010.  
Essential Reading / Recommended Reading R1. Millman J. and Halkias C. " Integrated Electronics ", Tata McGrawHill Publishing, 2000 R2. Donald A Neamen, “Electronic Circuit Analysis and Design”, 3/e, TMH. R3. Albert Paul Malvino, Electronic Principles, 8th Ed, McGrawHill Education, 2016. R4. Sedra and Smith.” Microelectronic Circuits”, 6/e, Oxford University Press, 2010. R5. David A. Bell, “Electronic Devices and Circuits”, 4th Edition, Prentice Hall of India, 2007.  
Evaluation Pattern 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:
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.  
EC334P  DIGITAL ELECTRONICS (2021 Batch)  
Total Teaching Hours for Semester:75 
No of Lecture Hours/Week:5 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

The aim of this course is to study the basics of digital circuits and learn methods and fundamental concepts used in the design of digital systems. 

Course Outcome 

CO1: To apply the principles of Boolean algebra and Kmap to design combinational circuits CO2: To analyze the operation of sequential circuits built with various flipflops and design of counters, registers CO3: To use state machine diagrams to design finite state machines using various types of flipflops and combinational circuits with prescribed functionality. CO4: To understand the concepts of data paths, control units, and microoperations and building blocks of digital systems CO5: To design combinational and sequential circuits using Verilog HDL modeling. 
Unit1 
Teaching Hours:9 
COMBINATIONAL CIRCUITS


Design procedure – Four variable Karnaugh Maps, AddersSubtractors – Serial adder/Subtractor  Parallel adder/ Subtractor Carry look ahead adder BCD adder, Magnitude Comparator. Multiplexer/ Demultiplexer,Encoder / decoder, parity checker, Code converters. Implementation of combinational logic using MUX, ROM, PAL and PLA  
Unit2 
Teaching Hours:9 
SEQUENTIAL CIRCUITS


Classification of sequential circuits, Moore and Mealy Design of Synchronous counters: state diagram State table –State minimization –State assignment ASMExcitation table and mapsCircuit implementation  Universal shift register – Shift counters – Ring counters  
Unit3 
Teaching Hours:9 
ASYNCHRONOUS SEQUENTIAL CIRCUITS


Design of fundamental mode and pulse mode circuits – primitive state / flow table – Minimization of primitive state table –state assignment – Excitation table – Excitation map cycles – Races, Hazards: Static –Dynamic –Essential –Hazards elimination.  
Unit4 
Teaching Hours:9 
DIGITAL INTEGRATED CIRCUITS


Introduction – Special Characteristics – Bipolar Transistor Characteristics – RTL and DTL circuits – TransistorTransistor Logic (TTL) Emitter Coupled Logic (ECL) – Metal Oxide Semiconductor (MOS) – Complementary MOS (CMOS) – CMOS Transmission Gate circuits  
Unit5 
Teaching Hours:9 
VERILOG HDL


Basic Concepts: VLSI Design flow, identifiers, gate primitives, value set, ports, gate delays, structural gate level modeling, Behavioral modeling, Data flow modeling, Design hierarchies, Structural gate level description of combinational and sequential circuits.  
Text Books And Reference Books:
T1. M. Morris Mano, Michael D. Ciletti, “Digital Design” 5^{th}Edition, Prentice Hall of India Pvt. Ltd., New Delhi, 2015/Pearson Education (Singapore) Pvt. Ltd., New Delhi, 2003.
T2. Samir Palnitkar, “Verilog HDL”, 2 edition, Pearson Education, 2003 T3. Peter.J.Ashenden, “Digital Design: An Embedded Systems Approach Using Verilog”, Elsevier 2010  
Essential Reading / Recommended Reading
R1. John .M Yarbrough,” Digital Logic Applications and Design”, Thomson Vikas Publishing house, New Delhi, 2006.
R2. S. Salivahanan and S. Arivazhagan, “Digital Circuits and Design”, 5th ed., Vikas Publishing House Pvt. Ltd, New Delhi, 2016.
R3. Charles H.Roth, ” Fundamentals of Logic Design”, Thomson Publication Company, 2012. R4. Donald P.Leach and Albert Paul Malvino, “Digital Principles and Applications”,6th Edition, Tata McGraw Hill Publishing Company Limited, New Delhi, 2012.  
Evaluation Pattern Theory CIA  30 marks CIA will be conducted for 50 marks. Later the marks will be scaled down to 30 marks. Components of the CIA: Theory ESE  30 marks End Semester Examination (ESE):
Practical  35 marks Practical assessment depends on the student's lab discipline, regular attendance, conduction of the lab, observation and record submission and final lab exam. Attendance  5 marks In total, the course is evaluated for 100 (30+30+35+5) marks.  
EC335  ELECTROMAGNETIC FIELDS (2021 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

This course aims at imparting the fundamental concepts of Electrostatics and static magnetic fields, basic concepts of Time varying fields and their behaviour in different media, give understanding about analysis of fields in different geometries and application areas of electromagnetic fields 

Course Outcome 

CO1: Understand the field?s potentials due to static changes (L2) CO2: Demonstrate the behavior of static electric and magnetic fields(L3) CO3: Relate the behavior of electric and magnetic fields in different media (L4) CO4: Interpret the electric and magnetic fields with respect to time(L3) CO5: Relate the uniform wave propagation in the electric field(L4) 
Unit1 
Teaching Hours:9 
STATIC ELECTRIC FIELDS


Coulomb‘s Law – Definition of Electric Field Intensity – Principle of Superposition – Electric Flux Density – Gauss Law – Proof of Gauss Law – Applications. Charge distributionsline, surface, volume. Electric Scalar Potential – Relationship between potential and electric field  Potential due to electrical dipole  Poisson‘s and Laplace‘s equation – Electrostatic energy and energy density  Electric current – Current density – point form of ohm‘s law – continuity equation for current  
Unit2 
Teaching Hours:9 
STATIC MAGNETIC FIELD


The BiotSavart Law– Magnetic Field intensity due to a finite and infinite current carrying wire – Magnetic field intensity on the axis of a circular and rectangular current carrying loop – Ampere‘s circuital law and simple applications. Current distributions –line, surface and volume. Magnetic flux density – The Lorentz force equation for a moving charge and applications – Magnetic moment – Magnetic Vector PotentialEnergy density in magnetic fields  
Unit3 
Teaching Hours:9 
TIME VARYING ELECTRIC AND MAGNETIC FIELDS


Faraday‘s law – Maxwell‘s Second Equation in integral form from Faraday‘s Law –Equation expressed in point form. Displacement current – Ampere‘s circuital law in integral form – Modified form of Ampere‘s circuital law as Maxwell‘s first equation in integral form – Equation expressed in point form. Maxwell‘s four equations in integral form and differential form  
Unit4 
Teaching Hours:9 
ELECTROMAGNETIC WAVES


Derivation of Wave Equation – Uniform Plane Waves – Maxwell‘s equation in Phasor form – Wave equation in Phasor form – Plane waves in free space and in a homogenous material. Wave equation for a conducting medium – Plane waves in lossy dielectrics –Propagation in good conductors – Skin effect, Poynting Vector.  
Unit5 
Teaching Hours:9 
REFLECTION AND REFRACTION OF UNIFORM PLANE WAVES


Boundary conditions in vector form  Interaction of waves with dielectric and conducting materials  Normal andOblique incidences, applications of plane waves, Polarization and its types.  
Text Books And Reference Books:
T1.M. N. O. Sadiku., “Elements of Engineering Electromagnetics”, Oxford University Press, 5^{th} Edition 2010. T2. E.C. Jordan and K.G. Balmain., “Electromagnetic Waves and Radiating Systems”, Prentice Hall of India, 2/E 2^{nd}Edition 2003. T3. Karl E. Lonngren, Sava V. Savov, Randy J. Jost.,“Fundamentals of Electromagnetics with MATLAB”, SciTech Publishing Inc.,2^{nd} Edition 2007.  
Essential Reading / Recommended Reading R1. RamoWhinnery and Van Duzer., “Fields and Waves in Communications Electronics”, John Wiley & Sons, 3^{rd} Edition 2003. R2. NarayanaRao, N., “Elements of Engineering Electromagnetics”, Prentice Hall of India, New Delhi, 6^{th}Edition 2004. R3. William H.Hayt and John A Buck., “Engineering Electromagnetics”, McGrawHill, 6^{th} Edition 2003.  
Evaluation Pattern Components of the CIA  
EC351  ELECTRONIC MEASUREMENT LAB (2021 Batch)  
Total Teaching Hours for Semester:30 
No of Lecture Hours/Week:2 
Max Marks:100 
Credits:1 
Course Objectives/Course Description 

The aim of this course is to familiarize the student with the calibration, measurement, testing and characterization of various sensors and transducers devices and test instruments so that he or she will be able to carry out measurements effectively. 

Course Outcome 

CO1: Demonstrate the use of test instruments for signal measurements and characterize common sensors and transducers. CO2: Estimate the long term stability of oscillators using frequency counters and compare stability factors of various oscillators with different Q factors. CO3: Calibrate and study the characteristics of pressure, temperature, speed, transducers CO4: Analyze the spectral characteristics of RF signals 
Unit1 
Teaching Hours:30 

List of Experiments :


 
Text Books And Reference Books: T1. Albert D.Helfrick and William D.Cooper – Modern Electronic Instrumentation and Measurement Techniques, Pearson / Prentice Hall of India, 2007.  
Essential Reading / Recommended Reading R1. David A. Bell, Electronic Instrumentation and measurements, Prentice Hall of India Pvt Ltd, 2003  
Evaluation Pattern As per university norms  
MA332  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 as well solving higher order partial differential equations by different methods and 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 equations and solve it by the method of variable separable. {L3} {PO1, PO2, PO3} CO3: Deduce the periodic functions as Fourier series expansion. {L4} {PO1, PO2, PO3, PO4} CO4: Apply Fourier series and solve the boundary value problems {L3} {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 Transform


Fourier series – Odd and even functions – Half range Fourier sine and cosine series – Complex form of Fourier series – Harmonic Analysis. Discrete Fourier Sine and Cosine transform Complex Fourier transform – Sine and Cosine transforms – Properties – Transforms of simple functions – Convolution theorem – Parseval’s identity. Solution of equations using Fourier transform, Limitation of Fourier series and Fourier transform and need for Wavelet.  
Unit4 
Teaching Hours:9 
Boundary Value Problems


Classification of second order quasi linear partial differential equations – Solutions of one dimensional wave equation – One dimensional heat equation – Two dimensional Laplace equation – Steady state solution of twodimensional heat equation (Insulated edges excluded) – Fourier series solutions in Cartesian coordinates.  
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. Erwin Kreyszig, “Advanced Engineering Mathematics”, 10^{th} Edition, John Wiley & Sons,Inc. 2011. R2. B.V. Ramana, 6^{th} Reprint, “Higher Engineering Mathematics”, TataMacgraw Hill, 2008 R3. Churchill, R.V. and Brown, J.W., “Fourier Series and Boundary Value Problems”, Fourth Edition, McGrawHill Book Co., Singapore, 1987. R4. T.Veera Rajan, “Engineering Mathematics [For Semester III]. Third Edition. Tata McGrawHill Publishing Company. New Delhi, 2007. R5. 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) : 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
 
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  
EC431P  ANALOG ELECTRONICS (2021 Batch)  
Total Teaching Hours for Semester:75 
No of Lecture Hours/Week:5 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

The aim of this course is to familiarize the student with the analysis and design of feedback amplifiers, oscillators, tuned amplifiers, wave shaping circuits, multivibrators and blocking oscillators using BJT and OpAmps 

Course Outcome 

CO1: Analyze the RC, LC and crystal oscillator circuits and generation of sinusoidal signals over various frequency bands. CO2: Describe the timing circuits designed with BJT transistors. CO3: Design and demonstrate large signal and tuned amplifiers for various power applications and resonant frequency applications. CO4: Understand the elements inside an opamp and design basic adders and subtractors CO5: Design various application circuits using operational amplifiers like integrators, differentiators, wave form generators CO6: Design filters using operational amplifiers and plot its frequency response. CO7: Understand the principle of ADC and DAC and design DAC  R/2R DAC, binary weighted DAC CO8: Design various application circuits using the timer IC 555 
Unit1 
Teaching Hours:9 

OSCILLATORS AND TRANSISTOR SWITCHING CIRCUITS


Mechanism for start of oscillation and stabilization of amplitude: Tank Circuit. Positive Feedback: Barkhausen Criterion. RC phase shift Oscillator. Wien bridge Oscillator. Analysis of LC Oscillators, Colpitts, Hartley, Clapp oscillators. Frequency range of RC and LC Oscillators. Quartz Crystal Construction. Electrical equivalent circuit of Crystal. Pierce crystal Oscillator circuit. Transistor switching times. (Delay, rise, storage and fall time). Analysis of collector coupled Astable, Monostable and Bistable multivibrators. UJT Relaxation Oscillator.  
Unit2 
Teaching Hours:9 

LARGE SIGNAL AMPLIFIERS AND TUNED AMPLIFIERS


Power Amplifier: Definition and amplifier types – efficiency – classification. Transformer coupled Class A amplifier – Transformer coupled class – B and class – AB amplifiers – Complementary Symmetry – Push pull amplifier. Calculation of efficiency, power output and dissipation. Amplifier Distortion – Cross over distortion. Power of a signal having distortion. Power Transistor heat sinking. Tuned Amplifiers: Basic principle – Concept of resonance – coil loses, unloaded and loaded Q of tank circuits. Basic tuned amplifier using BJT – Q factor – Selectivity – instability of tuned amplifier – Stabilization techniques – Class C tuned Amplifiers and their applications. Efficiency of class C tuned amplifier.  
Unit3 
Teaching Hours:9 

OPAMP BASICS


Operational Amplifier: Simplified Internal Circuit of 741 – opamp. Opamp parameters: Input bias current, Input Offset Current, Input Offset Voltage, Thermal drift, Voltage Gain, Input and Output Impedance, CMRR, Slewrate. Low frequency and High Frequency equivalent model of opamp Inverting and Non Inverting Amplifier: Analysis, Frequency response of inverting and noninverting amplifier.[Analysis to show the effect of frequency on the voltage gain] Summing Amplifier [Adder], Difference Amplifier [ Subtractor].  
Unit4 
Teaching Hours:9 

OPAMP APPLICATIONS AND FILTERS


Instrumentation amplifiers, V to I and I to V converters and their applications, Logarithmic Amplifier, Antilogarithmic Amplifier, Comparators, Schmitt Trigger, Square and triangular waveform generator First order Low pass, High pass Filters, Frequency Response. Second Order Low Pass and High Pass Filters,  Bandpass and band elimination filters, Notch Filter, All Pass filters.  
Unit5 
Teaching Hours:9 

ADC/DAC CONVERTERS AND SPECIAL FUNCTION ICS


D/A converters: DAC characteristics resolution, output input equations, weighted resistor, R2R network. A/D converter: ADC characteristics, Types  Dual slope, Counter ramp, Successive approximation, flash ADC, oversampling and delta sigma ADC. Waveform generators – grounded capacitor VCO and emitter coupled VCO. Basic PLL topology and principle, transient response of PLL, Linear model of PLL, Major building blocks of PLL – analog and digital phase detector, VCO, filter. Applications of PLL. Monolithic PLL  IC LM565. 555 Timer Astable Multivibrator and Monostable Multi vibrator using 555 IC  
Text Books And Reference Books:
 
Essential Reading / Recommended Reading Reference Books: R1. Donald A Neamen, “Electronic Circuit Analysis and Design”, 3/e, TMH. R2. Behzad Razavi,” Design of Analog CMOS IC”, 2^{nd} Edition, Tata McGraw Hill, 2003. R3. David A. Bell, “Operational Amplifiers and Linear ICs”, 3rd Edition, OUP, 2011. R4. David A. Johns, Ken Martin, “Analog Integrated Circuit Design”, 2^{nd} Edition, Wiley India, 2008.  
Evaluation Pattern 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:
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.  
EC432P  ANTENNAS AND WAVE PROPAGATION (2021 Batch)  
Total Teaching Hours for Semester:75 
No of Lecture Hours/Week:5 

Max Marks:100 
Credits:4 

Course Objectives/Course Description 

The course aims at providing an indepth understanding of modern antenna concepts, practical antenna design for various applications explaining the theory of different types of antennas used in communication systems. This course also provides a study for the analysis and design of arrays, wave propagation and antenna measurements. 

Course Outcome 

CO1: Utilize the fundamentals concepts of antennas, radiation principles and solve antenna parameters [L3] CO2: Examine various antenna arrays and analyze their performances[L4] CO3: Choose the special antennas needed for various frequency ranges and explain [L3] CO4: Compare the various types of wave propagation mechanisms [L4] CO5: Summarize the antenna measurement methods and applications of antennas for communications [L2] 
Unit1 
Teaching Hours:9 

UNIT I ANTENNA BASICS & WIRE ANTENNAS


Basics of antenna Parameters: Radiation intensity, Directivity, Power gain, Beam Width, Band Width, polarization, Input impedance, Efficiency, Effective length and Effective area, Antenna Temperature, Reciprocity principle, Friss Transmission equation, Radiation mechanism, Current distribution on thin wire antenna, Retarded vector potential, Fields associated with oscillating dipole. Power radiated and radiation resistance of current element, Radiation resistance of halfwave dipole and quarterwave monopole, Loop Antennas, Radiation from small loop and its radiation resistance.  
Unit2 
Teaching Hours:9 

UNIT II ANTENNA ARRAYS


Array of point sources: Expression for electric field for two point sources of equal amplitude and phase, equal amplitude and opposite phase and unequal amplitude and any phase, Linear array of N isotropic point sources. Broad side array, End fire array, Method of pattern multiplication. Nonuniform Distribution – Binomial array, Dolph –Chebyshev array  
Unit3 
Teaching Hours:9 

UNIT III SPECIAL ANTENNAS


Travelling Wave Antennas Radiation from a traveling wave on a wire, Rhombic AntennasDesign and Analysis of Rhombic antenna, Yagi Uda Antennas –Three element Yagi antennas. Log periodic antenna – Types and Design of LPDA, Helical antennaDesign, Normal mode and axial mode operation, Horn Antenna – Field on the axis of an EPlane and HPlane sectoral Horn, Radiation from an elemental area of a plane wave (Huygens’s Source),Lens Antenna Dielectric lens and metal plane lens antennas, Dish antennas Reflector type of antennas.  
Unit4 
Teaching Hours:9 

UNIT IV WAVE PROPAGATION.


Ground wave propagation: Attenuation characteristics for ground wave propagation, Calculation of field strength at a distance. Space wave propagation: Reflection from ground for vertically and horizontally polarized waves, Reflection characteristics of earth, Resultant of direct and reflected ray at the receiver, Duct propagation. Sky wave propagation: Structure of the ionosphere. Effective dielectric constant of ionized region, Mechanism of refraction, Refractive index, Critical frequency, Skip distance, Energy loss in the ionosphere due to collisions, Maximum usable frequency, Fading and Diversity reception.  
Unit5 
Teaching Hours:9 

UNIT V ANTENNA MEASUREMENTS & APPLICATIONS


Measurement Ranges, Absorbing materials, anechoic chamber, Compact antenna test ranges, Pattern Measurement Arrangement, Impedance Measurement, Phase & Gain measurements, VSWR measurements. Application of Antennas (Overview): Antennas for Mobile communication, Satellite Communication (LEO, MEO, GEO Satellite Antennas, Cubesats), Antennas for Biomedical, Mammography and Microwave Imaging applications, Implantable antennas.  
Text Books And Reference Books:
 
Essential Reading / Recommended Reading
 
Evaluation Pattern
 
EC433  SIGNALS AND SYSTEMS (2021 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 

Max Marks:100 
Credits:3 

Course Objectives/Course Description 



Course Outcome 

CO1: Categorize the properties and representation of discrete and continuous time signals and systems CO2: Analyze the continuous time signal using Fourier and Laplace transform CO3: Analyze the continuous time signal using Fourier and Laplace transform CO4: Analyze the discrete time signals using Discrete Time Fourier Transforms and Z transform CO5: Determine total response, impulse response and frequency response of LTIDT systems 
Unit1 
Teaching Hours:9 
CLASSIFICATION OF SIGNALS AND SYSTEMS


Continuous Time signals (CT signals), Discrete Time signals (DT signals)  Step, Ramp, Impulse, Exponential, Classification of CT and DT signals  periodic and aperiodic, Energy and power, even and odd, Deterministic and Random signals, Transformation on Independent variables CT systems and DT systems, Properties of Systems – Linearity, Causality, Time Invariance, Stability, Invertibility and LTI Systems.  
Unit2 
Teaching Hours:9 
ANALYSIS OF CT SIGNALS


Fourier Series Analysis, Spectrum of CT Signals, Continuous Time Fourier Transform and Laplace Transform in Signal Analysis, Properties of Fourier Transform, Laplace TransformPropertiesROC, Parseval’s Theorem, Sampling Theorem and Aliasing.  
Unit3 
Teaching Hours:9 
LTICT SYSTEMS


Differential equationsTotal Response Fourier Transform & Laplace Transform, Impulse response, Convolution Integral, Frequency response  
Unit4 
Teaching Hours:9 
ANALYSIS OF DT SIGNALS


Spectrum of DT Signals, Discrete Time Fourier Transform (DTFT), ZTransform in signal analysis, ZtransformPropertiesROC and Inverse Z TransformPartial FractionLong Division.  
Unit5 
Teaching Hours:9 
LTIDT SYSTEMS


Difference equations, Total ResponseZ Transform, Impulse response, Convolution sum, Frequency response.  
Text Books And Reference Books: T1 Alan V. Oppenheim, Alan S. Willsky with S. Hamid Nawab, Signals & Systems, 2^{nd}edn., Pearson Education, 2015 T2. M. J. Roberts, Signals and Systems Analysis using Transform method and MATLAB, TMH 2003.  
Essential Reading / Recommended Reading R1. Lathi B. P, Signals Systems and Communication, B S Publications, Hyderabad, 2011. R2. Simon Haykin and Barry Van Veen, Signals and Systems, John Wiley, 2009 R3. K. Lindner, “Signals and Systems”, McGraw Hill International, 2009 R4. Michael J Roberts, "Fundamentals of Signals and systems" Tata McGraw Hill, 2007.  
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 CIA III : Quiz/Seminar/Case Studies/Project/ Innovative Assignments/presentations/publications : 10 marks Attendance : 05 marks Total : 50 marks Mid Semester Examination (MSE) : Theory Papers:
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
 
EC434  COMPUTER ORGANIZATION AND PROCESSORS (2021 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

To discuss the basic structure of a digital computer and to study in detail the organization of the Control unit, the Arithmetic and Logical unit, Memory unit and Intel Processors. 

Course Outcome 

CO1: Summarize the architectural features of a computer CO2: Discover the basic functional units in ALU and perform various arithmetic operations of ALU CO3: Demonstrate the dataflow and program execution process in Computer CO4: Summarize various memory architectures and their data storage behaviour CO5: Interpret unique architectural features of 8086 and Pentium processors. 
Unit1 
Teaching Hours:9 
BASIC STRUCTURE OF COMPUTERS


A Brief History of computers, Von Neumann Architecture, Harvard architecture, Computer Components, Functional units  Basic operational concepts  Bus structures  Software performance – Memory locations and addressesAddition and subtraction of signed numbers – Design of fast adders – Multiplication of positive numbers  Hardware Implementation Signed operand multiplication.  
Unit2 
Teaching Hours:9 
ARITHMETIC & LOGIC UNIT


Booths Algorithm fast multiplication – Integer division & it’s Hardware Implementation – Restoring and Non Restoring algorithmsFundamental concepts – Execution of a complete instruction – Multiple bus organization – Hardwired control – Microprogrammed control  Pipelining – Basic concepts – Data hazards – operand forwardingInstruction hazards Instruction Set architecture for logical operation  
Unit3 
Teaching Hours:9 
8086 MICROPROCESSOR


Intel 8086 Microprocessor  Internal architecture – segment registers 8086 memory organization–Flag Registerlogical and physical address calculationBlock diagram of Minimum and maximum mode and its operations – Interrupt and Interrupt applicationsAssembly language programming of 8086.  
Unit4 
Teaching Hours:9 
INTERFACING WITH 8086


Memory Interfacing and I/O interfacing  Parallel communication interface – Serial communication interface – Timer –Interrupt controller – DMA controller – Programming and applications  
Unit5 
Teaching Hours:9 
PENTIUM MICROPROCESSOR


Advanced Intel Microprocessors Reduced Instruction cycle – five stage instruction pipe line – Integrated coprocessor – On board cache – Burst Bus mode. Pentium – super scalar architecture – uv pipe line – branch prediction logic – cache structure – BIST (built in selftest) – Introduction to MMX technology. Case Study  
Text Books And Reference Books: T1. Carl Hamacher, Zvonko Vranesic and Safwat Zaky, 7^{th }Edition “Computer Organization”, McGrawHill, 2011 T2. Douglous V. Hall “Microprocessor and Interfacing” 3^{rd} edition ,Tata McGraw Hill,2015. T3.James L. Antonakos , “ The Pentium Microprocessor ‘’ Pearson Education, 2007  
Essential Reading / Recommended Reading R1. William Stallings, “Computer Organization and Architecture – Designing for Performance”, 10h Edition, Pearson Education, 2015. R2. David A.Patterson and John L.Hennessy, “Computer Organization and Design: The hardware / software interface”, 3rd Edition, Morgan Kaufmann, 2008 R3. John P.Hayes, “Computer Architecture and Organization”, 4^{th} Edition, McGrawHill, 2003.  
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 CIA III : 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.  
EC435  COMPUTER NETWORKS (2021 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

This course aims to introduce the concepts, terminologies, and technologies used in modern data communication and computer networking. It also gives an introduction to the IEEE standards used for WLAN for physical ant MAC layer. 

Course Outcome 

CO1: Explain the network models and terminologies including topologies, transmission media and line coding for a data communication system. CO2: Understand the data link layer services for error control using parity check, Hamming & cyclic codes and flow control techniques using stop & wait, stop & wait ARQ, Goback n ARQ protocols. CO3: Find the path for network layer packet delivery for a given topology using intradomain routing protocols CO4: Understand the essential principles of transport layer including reliable data transfer, congestion control and quality of service CO5: Describe the MAC layer functions including DCF,PCF access schemes of Wireless LAN from IEEE 802.11 draft standard 
Unit1 
Teaching Hours:9 
DATA COMMUNICATIONS


Components – Direction of Data flow – networks – Components and Categories – types of Connections – Topologies –Protocols and Standards – ISO / OSI model – Transmission Media – Coaxial Cable – Fiber Optics – Line Coding – Modems – RS232 Interfacing sequences. TCP/IP.  
Unit2 
Teaching Hours:9 
DATA LINK LAYER


Error – detection and correction – Parity – LRC – CRC – Hamming code – Flow Control and Error control: stop and wait – go back N ARQ – selective repeat ARQ sliding window techniques – HDLC. LAN: Ethernet IEEE 802.3, IEEE 802.4, and IEEE 802.11  
Unit3 
Teaching Hours:9 
NETWORK LAYER


Internetworks  Packet Switching and Datagram approach – IP addressing methods IP Multicasting and broadcasting– Subnetting – Routing – Distance Vector Routing – Link State Routing – Routers.  
Unit4 
Teaching Hours:9 
TRANSPORT LAYER


Duties of transport layer – Multiplexing – Demultiplexing – Sockets – User Datagram Protocol (UDP) – Transmission Control Protocol (TCP) – Congestion Control – Quality of services (QOS) – Integrated Service  
Unit5 
Teaching Hours:9 
IEEE 802.11 WIRELESS LAN ? MAC & NETWORK LAYER


IEEE 802.11–– Architecture, Types of stations, 802.11 MAC DCF, PCF, Hidden Node Problem, RTS,CTS, 802.11 Frame Format, Adhoc Routing Protocols – Proactive Routing, OLSR, Reactive Routing, AODV, Multipath Routing.  
Text Books And Reference Books: T1. Behrouz A. Foruzan, “Data communication and Networking”,5th edition , Tata McGrawHill, 2012  
Essential Reading / Recommended Reading R1. James .F. Kurouse & W. Rouse, “Computer Networking: A Topdown Approach Featuring”, 7^{th} edition,Pearson Education,2016 R2. Larry L.Peterson & Peter S. Davie, “COMPUTER NETWORKS”, Harcourt Asia Pvt. Ltd., 5^{th} Edition,2011 R3. Andrew S. Tannenbaum, “Computer Networks”, PHI, 5^{th} Edition, 2016 R4. William Stallings, “Data and Computer Communication”, 8^{th} Edition, Pearson Education, 2013 R5. Azzedine Boukerche “Algorithms and Protocols for Wireless, Mobile AdHoc Networks”, WileyIEEE Press, 2008  
Evaluation Pattern Components of the CIA  
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  
MA432  PROBABILITY AND QUEUING THEORY (2021 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

The objective of this course is to describe the fundamentals and advanced concepts of probability theory, random process, queuing theory to support the graduate courseworkand research in electrical and electronics engineering 

Course Outcome 

CO1: Differentiate the continuous and discrete probability distributions and estimate the probability for the different parameter for the data. {L2} {PO1, PO2, PO3} CO2: Distinguish different standard distributions like Binomial, Poisson, Uniform, and Normal, gamma, Weibull etc. and able to estimate the probability with proper examples. {L4} {PO1, PO2, PO3} CO3: Interpret the data with the aid of Covariance Correlation and regression for twodimensional random variable. {L3} {PO1, PO2, PO3} CO4: Classify different random processes such as Stationary process, Markov process, Poisson process, Birth and death process, Markov chains, and explain transition probabilities  limiting distributions with examples. {L4} {PO1, PO2, PO3} CO5: Construct the different Queuing models to find the number of customers in the system, waiting time etc. {L3} {PO1, PO2, PO3} 
Unit1 
Teaching Hours:9 
UNIT I: Probability and Random Variable


Axioms of probability  Conditional probability, Random variable  Probability mass function  Probability density function  Properties. Mathematical Expectation and Moments Relation between central and Noncentral moments.  
Unit2 
Teaching Hours:9 
UNIT II: Standard Distributions


Binomial, Poisson, Geometric, Negative Binomial, Uniform, Exponential, Gamma, Weibull and Normal distributions and their properties  Functions of a random variable. Moments  Moment generating functions and their properties.  
Unit3 
Teaching Hours:9 
UNIT III: Two Dimensional Random Variables


Joint distributions  Marginal and conditional distributions – Covariance – Correlation and regression  Transformation of random variables  Central limit theorem.
 
Unit4 
Teaching Hours:9 
UNIT IV: Random Processes and Markov Chains


Classification  Stationary process  Markov process  Poisson process  Birth and death process  Markov chains  Transition probabilities  Limiting distributions. Transition Diagram.  
Unit5 
Teaching Hours:9 
UNIT V: Queuing Theory


Markovian models – M/M/1, M/M/C , finite and infinite capacity  M/M/∞ queues  Finite source model  M/G/1 queue (steady state solutions only) – Pollaczek – Khintchine formula – Special cases. Single and Multiple Server System.
 
Text Books And Reference Books: T1.Ross, S., “A first course in probability”, Ninth Edition, Pearson Education, Delhi, 2013 T2. Medhi J., “Stochastic Processes”, 3^{rd} Edition,New Age Publishers, New Delhi, 2009. T3. .Veerarajan, “Probability, Statistics and Random process”, Third Edition, Tata McGraw Hill, New Delhi, 2009.  
Essential Reading / Recommended Reading R1. Allen., A.O., “Probability, Statistics and Queuing Theory”, Academic press, New Delhi R2. Taha, H. A., “Operations ResearchAn Introduction”, Eighth Edition, Pearson Education Edition Asia, Delhi, 2015. R3. Gross, D. and Harris, C.M., “Fundamentals of Queuing theory”, John Wiley and Sons, Third Edition, New York, 2008.  
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 CIA III : Quiz/Seminar/Case Studies/Project/ Innovative Assignments/presentations/publications : 10 marks Attendance : 05 marks Total : 50 marks Mid Semester Examination (MSE) : Theory Papers:
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  
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%  
EC531  CONTROL SYSTEMS (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

This course aims at providing students knowledge in the basic concepts of linear control theory, modern control theory and design of control systems.


Course Outcome 

CO1: Describe and categorize linear continuous time control systems and able to apply the mathematical tool of Laplace transform with aim of obtaining transfer function of physical systems. CO2: Developing the ability to describe and apply the methods of block diagram reduction and signal flow graph for analysis of transfer function of linear continuous time systems. CO3: Describe and categorize parameters like time constant of first order systems and rise time, overshoot, settling time of second order systems and able to determine the response for standard inputs and errors. CO4: Analyze the stability of a linear continuous time system using method of RouthHurwitz criteria and to construct root locus, bode plot, polar plot and MN circles for systems. CO5: Solve continuoustime systems in state space form in general, also in different standard forms of state space representation and can carry conversion from transfer function representation to state space form and vice versa. 
Unit1 
Teaching Hours:9 
UNIT I SYSTEMS AND THEIR REPRESENTATION


Basic elements in control systems – Open and closed loop systems – Transfer function. Mathematical Modeling of Systems: Electrical Systems, Mechanical Systems[Translational and Rotational Mechanical Systems], Electro Mechanical Systems. Liquid Level Systems. Electrical analogy of mechanical Systems– Force Voltage and Force Voltage Analogy Block Diagram  Block diagram reduction techniques – Signal flow graphs – Mason’s Gain Formula  
Unit2 
Teaching Hours:9 
UNIT II TIME RESPONSE


Time response – Transient and Steady State Response. Order and Type of System. Concept of Poles and Zeros. Response of First Order Systems to Unit Impulse Input, Unit Step Input and Unit Ramp Input. Response of Second Order Systems to Unit Impulse Input, and Unit Step Input. Time domain specifications – Peak Time, Rise Time, Maximum Overshoot, Settling Time. Error: Steady State Error, Static Error Constants  Generalized error series – Dynamic Error Constants – Controllers, P, PI, PID modes of feedback control  
Unit3 
Teaching Hours:9 
UNIT III STABILITY OF CONTROL SYSTEM


Stability of Control Systems: BIBO Stability. Location of poles and stability. Characteristics equation –Routh Hurwitz criterion Root Locus – Effect of pole, zero addition, Simple design using Root Locus.  
Unit4 
Teaching Hours:9 
UNIT IV FREQUENCY RESPONSE


Frequency response – Frequency Response Specifications – Gain Margin, Phase Margin, Bandwidth, Resonant Peak, Resonant Frequency. Bode plot – Constant Gain, Simple and Repeated Pole, Simple and Repeated Zero. Polar plot – Nyquist Stability Criterion. Determination of closed loop response from open loop response. Compensation  Lead, Lag, Lead Lag Compensation  
Unit5 
Teaching Hours:9 
UNIT V INTRODUCTION TO MODERN CONTROL THEORY


State Space Analysis  State Model  State vector  Modeling of electrical and mechanical systems in state space. Decomposition of transfer function  Direct, Cascade, Parallel. State Transition Matrix, Properties, Solution of State Space Equation  Observability and Controllability – Kalman’s and Gilbert’s Test  
Text Books And Reference Books: T1.K. Ogata,”Modern Control Engineering”, 5th edition, Pearson Education, NewDelhi, 2014 / PHI. T2. I.J. Nagrath & M. Gopal, “Control Systems Engineering”, 4th edition,New Age International Publishers, 2015  
Essential Reading / Recommended Reading R1. M. Gopal, “Control Systems, Principles & Design”, 4th edition, Tata McGraw Hill, New Delhi, 2012  
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 CIA III : Quiz/Seminar/Case Studies/Project/ Innovative Assignments/presentations/publications : 10 marks Attendance : 05 marks Total : 50 marks Mid Semester Examination (MSE) : Theory Papers:
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.
 
EC532P  DIGITAL SIGNAL PROCESSING (2020 Batch)  
Total Teaching Hours for Semester:75 
No of Lecture Hours/Week:5 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 



Course Outcome 

CO1: Calculate the FFT of a discrete time signal CO2: Demonstrate various FIR filter techniques CO3: Demonstrate various IIR filter techniques CO4: Summarize finite word length effects in signal processing CO5: Explain the fundamentals of Digital signal processor 
Unit1 
Teaching Hours:9 
FAST FOURIER TRANSFORM AND CONVOLUTION


Introduction to DFT – Efficient computation of DFT Properties of DFT – FFT algorithms – Radix2 FFT algorithms – Decimation in Time – Decimation in Frequency algorithms –sectioned convolution overlap add method overlap save method.  
Unit2 
Teaching Hours:9 
FINITE IMPULSE RESPONSE DIGITAL FILTERS


Linear phase filtersFrequency response of linear phase FIR filtersFourier series method of designing FIR filtersWindowing techniques for design of linear phase FIR filters:Rectangular Hamming HanningBlackman windows  Gibbs phenomenon –principle of frequency sampling technique FIR Filter RealizationDirect form,Cascade ,Linear phase FIR realization.  
Unit3 
Teaching Hours:9 
INFINITE IMPULSE RESPONSE DIGITAL FILTERS


Review of design of analogue Butterworth and Chebyshev Filters Design of IIR digital filters using impulse invariance technique –bilinear transformation – pre warping –Frequency transformation in digital domain – IIR Filter Realization  Direct form I, Direct form II, cascade and parallel.  
Unit4 
Teaching Hours:9 
FINITE WORD LENGTH EFFECTS IN DIGITAL FILTERS


Binary fixed point and floating point number representations  Comparison Quantization noise – truncation and roundingderivation for quantization noise power – input quantization errorcoefficient quantization error –limit cycle oscillationsdead band problems  Overflow errorsignal scaling.  
Unit5 
Teaching Hours:9 
DIGITAL SIGNAL PROCESSOR


Introduction to DSP Architecture – Dedicated MAC unit  Features of C6X Processor  Internal Architecture  Functional Units and Operation  Addressing Modes  
Text Books And Reference Books: T1. John G Proakis Dimtris G Manolakis, Digital Signal Processing PrinciplesAlgorithms and Application, Pearson/PHI 4th Edition, 2007 T2. S. K. Mitra “Digital Signal Processing A Computer based approach”, TataMcGrawHill, 2001, New Delhi. T3. B. Venkataramani & M.Bhaskar, Digital Signal Processor ArchitectureProgramming and Application, Tata McGrawHill 2002  
Essential Reading / Recommended Reading R1. Allan V.Openheim, Ronald W. Sehafer& John R. Buck“Discrete Time Signal Processing”, Third edition, Pearson/Prentice Hall,2014. R2. Johny RJohnson: Introduction to Digital Signal Processing, PrenticeHall 1984 R3. Emmanuel I Fetchor “Digital Signal Processing: A Practical Approach”, 2/E Prentice Hall R4. Li Tan “ Digital Signal Processing” Elsevier2008 R5. Andreas Antoniou, “Digital Signal Processing”, Tata McGraw Hill, 2006  
Evaluation Pattern As per university norms  
EC533P  MICROCONTROLLER BASED SYSTEM DESIGN (2020 Batch)  
Total Teaching Hours for Semester:75 
No of Lecture Hours/Week:5 
Max Marks:100 
Credits:4 
Course Objectives/Course Description 

This course aims atlearning the architecture programming and interfacing of Microcontrollers (ARM and 8051) 

Course Outcome 

CO1: Summarize the architectural features of 8051 microcontroller CO2: Apply the knowledge of ALP, Embedded C to solve embedded software concepts CO3: Examine and demonstrate the working of I/O devices CO4: Relate the advance features of ARM processors for efficient embedded system CO5: Interpret unique architectural features of advance processors 
Unit1 
Teaching Hours:9 
8051 ARCHITECTURE


Architecture – Program memory organization – Data memory organization Internal RAMSFRFlag Register Timers/Counters & its operation registers –Interrupts of 8051  I/O ports and its structures Interfacing I/O Devices – External memory interfacing8051 addressing modes.  
Unit2 
Teaching Hours:9 
8051 PROGRAMMING


Instruction set –Data Transfer Instructions  Arithmetic Instructions – Logical Instructions –Control transferBit Manipulation Instructions – Timer/ Counter Programming – Serial Communication Programming Interrupt Programming & its structure – I/O port Programming Assembly language programming, Introduction to Embedded C.  
Unit3 
Teaching Hours:9 
SYSTEM DESIGN USING 8051


Interfacing LCD Display – Matrix Keypad Interfacing – ADC Interfacing –DAC Interfacing –Sensor Interfacing –Interfacing with 8255 Controlling AC appliances – Stepper Motor Control – DC Motor Interfacing.  
Unit4 
Teaching Hours:9 
HIGH PERFORMANCE RISC ARCHITECTURE: ARM


The ARM architecture– Bus ArchitectureARM organization and implementation – Addressing ModesThe ARM instruction set  The thumb instruction set– ARM assembly language program  
Unit5 
Teaching Hours:9 
REAL TIME OPERATING SYSTEMS


Processors and hardware units in an embedded systemEmbedded Systems on a Chip (SoC) –Serial Communication Devices Parallel Port DevicesAdvanced I/O Serial high speed busesInterrupt Routines Handling in RTOS RTOS Task scheduling modelsInter process communication and synchronisation Case Study.  
Text Books And Reference Books: T1. Gibson, “Microprocessor and Interfacing” Tata McGraw Hill,II edition T2. Muhammad Ali Mazidi, Rolin D. Mckinlay, Danny Causey ‘ 8051 Microcontroller and Embedded Systems using Assembly and C ’ ,2^{nd} edition, Prentice Hall of India,2008  
Essential Reading / Recommended Reading R1. Myke Predko, “Programming and customizing the 8051 microcontroller”, Tata R2. Steve Furber , ‘’ ARM System On –Chip architecture “Addision Wesley , 2^{nd} edition,2000.  
Evaluation Pattern CIA 1, CIA 2, CIA 3, ESE (As per the university norms)  
EC544E10  OPTICAL FIBER COMMUNICATION (2020 Batch)  
Total Teaching Hours for Semester:45 
No of Lecture Hours/Week:3 
Max Marks:100 
Credits:3 
Course Objectives/Course Description 

The objectives of this course is to introduce and explain the various optical fiber modes, configurations and various signal degradation factors associated with an optical fibers, understand about the various optical sources and detectors, identify their use in an optical communication system and study the concepts of digital transmission 

Course Outcome 

CO1: Explain the fundamentals of light wave propagation various modes in OFC cables CO2: Analyze the limitations of various fiber cables for attenuation and dispersion CO3: Design a link budget for a given OFC cable and path distance CO4: Discuss the various types of transmitters and receivers used in OFC CO5: Interpret the effect of noise on eye patterns CO6: Estimate the requirement of optical hardware in a optical link 
Unit1 
Teaching Hours:9 
OVERVIEW OF OPTICAL FIBER COMMUNICATION


Introduction,Historical development, general system, advantages, disadvantages, and applications of optical fiber communication, optical fiber waveguides, Ray theory, single mode fiber, cutoff wave length, mode filed diameter. Optical Fibers: fiber materials, photonic crystal, fiber optic cables specialty fibers. Introduction, Attenuation, absorption, scattering losses, bending loss, dispersion, Intra model dispersion, Inter model dispersion  
Unit2 
Teaching Hours:9 
OPTICAL SOURCES DETECTORS AND CONNECTORS


Introduction, LED’s, LASER diodes, Photo detectors, Photo detector noise, Response time, double hetero junction structure, Photo diodes, comparison of photo detectors. fiber alignment and joint loss, , fiber splices, fiber connectors and fiber couplers  
Unit3 
Teaching Hours:9 
ANALOG AND DIGITAL LINKS


Analog links – Introduction, overview of analog links, CNR, multichannel transmission techniques, RF over fiber, key link parameters, Radio over fiber links, microwave photonics. Digital links – Introduction, point–to–point links, System considerations, link power budget, resistive budget, short wave length band, and transmission distance for single mode fibers, Power penalties, nodal noise and chirping.  
Unit4 
Teaching Hours:9 
WDM CONCEPTS AND COMPONENTS


WDM concepts, overview of WDM operation principles, WDM standards, MachZehender interferometer, multiplexer, Isolators and circulators, optical components, MEMS technology, variable optical attenuators, tunable optical fibers, dynamic gain equalizers, optical drop multiplexers, polarization controllers, chromatic dispersion compensators, tunable light sources.
 
Unit5 
Teaching Hours:9 
OPTICAL NETWORKS


Optical transmitters and receivers, System block diagram  point to point link – link design, power budget analysis. WDM DWDM and SONET/SDH. Introduction to AON, PON and FTH  
Text Books And Reference Books:
 
Essential Reading / Recommended Reading
 
Evaluation Pattern Components of the CIA  
EC565OE01  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 

At the end of the course, the student will be able to : 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 