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Vision of the Department
To be a lead department imparting quality and value embedded higher
education and research emphasizing freedom of learning and practice.
Mission of the Department
x Transforming students into full-fledged
professionals and to become leaders in dynamic global environment.
x Augmenting knowledge and technologies in
rapidly advancing fields of Electronics and Communication
Engineering.
x Promoting in depth research and create centre of
excellence in thrust areas.
Programme Outcomes (POs)
PO1: Ability to apply knowledge of mathematics, science, and engineering
to solve engineering problems.
PO2: Capability to design and conduct experiments, as well as to analyze
and interpret data
PO3: Identify, formulate, and solve engineering problems
PO4: Solving different types of problems associated with multi-disciplinary
areas
PO5: Apply ethical principles and professional ethics and norms of engineering
practice.
PO6: Equipped to design an engineering system, component, or process that
meets the specific needs with proper eco system
PO7: Disseminating knowledge effectively with engineering community and in
general society
PO8: Broaden the knowledge providing an understanding of the impact of
engineering solutions in global, economic, environmental, and societal
contexts
PO9: Recognition of the need for, and ability to engage in life-long learning
PO10: Knowledge of contemporary issues in allied fields
PO11: Ability to select and use the appropriate advanced techniques, skills
and modern engineering tools necessary for engineering practice, with an
understanding of limitations.
PO12: Participate and become successful in competitive examinations like GATE,
IES, GRE, CAT, Civil services etc.
Curriculum Structure
Course Code
Course Title Sem ester
Total Number of Contact hours Credits Lecture (L)
Tutorial (T)
Practical (P)
Total Hrs MAT01 Engineering Mathematics I I 4 1 5 4 CYT01 Engineering Chemistry I 4 1 5 4 MAT04 Probability and Statistics I 4 1 5 4 MAT02 Engineering Mathematics- II II 4 1 5 4 PHT01 Engineering Physics II 4 1 5 4 MAT03 Engineering Mathematics III III 4 1 5 4 CST 01 Introduction to Information Communication Technology
I 2 1 3 2
CST 02 Computer programming in C I 2 1 3 2 CSP01 Computer Programming Lab I 4 4 2 MEP 01 Workshop Practice I 4 4 2 MET 01 Engineering Graphics I 4 1 5 4 CET01 Environmental Studies II 2 3 5 4 CST 03 Object-Oriented Programming II 2 1 3 2 CST 04 Data Structures II 2 1 3 2 CSP 02 Data Structures laboratory II 4 4 2 ENT01 English I 4 1 5 4 ENP 01 English Communication Skills Lab^ II 4 4 2 EOT 01 Economics V 2 2 4 COT 01 Accountancy V 2 2 4 MET 68 Management Science VI 2 2 4 4 ECT 02 Electronic Devices III 4 4 4 ECT 03 Signals and Systems III 3 1 4 4 ECT 01 Circuits and Networks-I III 3 1 4 4 ECT 04 Fields and Waves III 3 1 4 4 ECT 05 Electrical Technology III 3 1 4 4 ECP 01 Electrical Circuits and Machines Lab^ III 3 3 2 ECP 02 Mat lab and Unix Lab III 3 3 2 ECT 06 Circuits and Networks-II IV 3 1 4 4 ECT 07 Electronic Circuits IV 4 4 4 ECT 08 Logic Circuits IV 2 2 4 4 ECT 09 Random Signals &Stochastic Processes^ IV 2 2 4 4 ECT 10 Analog Communications IV 2 2 4 4 ECT 11 Transmission lines and Waveguides IV 2 2 4 4 ECP 03 Electronic Devices & Circuits Lab IV 3 3 2 ECP 04 Communication Engineering Lab IV 3 3 2 ECT 12 Control Systems V 3 1 4 4 ECT 13 Pulse and Digital circuits V 2 2 4 4 ECT 14 Analog IC applications V 3 1 4 4 ECT 15 Digital Communications V 2 2 4 4 ECT 16 Antennas and Wave Propagation V 3 1 4 4 ECP 05 Advanced Communication Engineering Lab^ V 3 3 2 ECP 06 Pulse and Digital Circuits Lab V 3 3 2 ECT 17 VLSI Design VI 3 1 4 4
Course Syllabi
Scheme of instructions
II Semester
Course No.
Name of Course Scheme of Instruction
Credits
Scheme of Valuation
THEORY
Theory Hrs.
Practical Hrs.
Sessional Marks End Exam I – Test II – Test TOTAL
Duration Hrs.
Max. Marks
Duration Hrs.
Max. Marks
Duration Hrs.
Max. Marks MAT 02 Engineering Mathematics II 4+1 - 4 2 20 2 20 3 60 100
ENT 01 English (^) 4+1 - 4 2 20 2 20 3 60 100
CST 03 Object-Oriented Programming 2+1^ -^2 2 20 2 20 3 60
CST 04 Data Structures (^) 2+1 - 2 2 20 2 20 3 60 100
PHT 01 Engineering Physics (^) 4+1 - 4 2 20 2 20 3 60 100
CET 01 Environmental Studies (^) 2+3 - 4 2 20 2 20 3 60 100
PRACTICALS
CSP 02 Data Structures Lab
- 4 2 Class Work 20 Test 20 3 60 100
ENP 01 English Communication Skills Lab -^4
Class Work 20 Test 20 3 60 100
III Semester
Course No.
Name of Course Scheme of Instruction
Credits
Scheme of Valuation
THEORY L+T^
Practical Hrs.
Sessional Marks End Exam I – Test II – Test TOTAL
Duration Hrs.
Max. Marks
Duration Hrs.
Max. Marks
Duration Hrs.
Max. Marks
MAT 03
Engineering Mathematics – III
ECT 01 Circuits and Networks-I 3+1 - 4 2 20 2 20 3 60 100
ECT 02 Electronic Devices 4 - 4 2 20 2 20 3 60 100
ECT 03 Signals and Systems 3+1 - 4 2 20 2 20 3 60 100
ECT 04 Fields and Waves 3+1 - 4 2 20 2 20 3 60 100
ECT 05 Electrical Technology 3+1 - 4 2 20 2 20 3 60 100
PRACTICALS
ECP 01 Electrical Circuits and Machines Lab
- 3 2 Class Work 20 Test 20 3 60 100
ECP 02 Mat lab and Unix Lab - 3 2 Class Work 20 Test 20 3 60 100
V Semester
Course No.
Name of Course Scheme of Instruction
Credits
Scheme of Valuation
THEORY
Theory Hrs.
Practical Hrs.
Sessional Marks End Exam TOTAL I – Test II – Test Duration Hrs.
Max. Marks
Duration Hrs.
Max. Marks
Duration Hrs.
Max. Marks
EOT 01 Economics 2 - 2 2 20 2 20 3 60 100
COT 01 Accountancy 2 - 2 2 20 2 20 3 60 100
ECT 12 Control Systems 3+1 - 4 2 20 2 20 3 60 100
ECT 13 Pulse and Digital circuits 2+2 - 4 2 20 2 20 3 60 100
ECT 14 Analog IC applications 3+1 - 4 2 20 2 20 3 60 100
ECT 15 Digital Communications 2+2 - 4 2 20 2 20 3 60 100
ECT 16 Antennas and Wave Propagation
PRACTICALS
ECP 05
Advanced Communication Engineering Lab
Class Work 20 Test 20 3 60 100
ECP 06 Pulse and Digital Circuits Lab - 3 2 Class Work 20 Test 20 3 60 100
VI Semester
Course No.
Name of Course Scheme of Instruction
Credits
Scheme of Valuation
THEORY
Theory Hrs.
Practical Hrs.
Sessional Marks End Exam TOTAL I – Test II – Test Duration Hrs.
Max. Marks
Duration Hrs.
Max. Marks
Duration Hrs.
Max. Marks
MET 68 Management Science 2+2 - 4 2 20 2 20 3 60 100
ECT 17 VLSI Design 3+1 - 4 2 20 2 20 3 60 100
ECT 18 Digital IC Applications 3+1 - 4 2 20 2 20 3 60 100
ECT 19 Microwave Techniques 2+2 - 4 2 20 2 20 3 60 100
ECT 20 Digital Signal Processing 3+1 - 4 2 20 2 20 3 60 100
ECT 21 Electronic Instrumentation and Measurements.
PRACTICALS
ECP 07 IC Applications Lab - 3 2 Class Work 20 Test 20 3 60 100
ECP 08 Electronic measurements Lab - 3 2 Class Work 20 Test 20 3 60 100
VIII Semester
Course No.
Name of Course Scheme of Instruction
Credits
Scheme of Valuation
THEORY
Theory Hrs.
Practical Hrs.
Sessional Marks End Exam TOTAL I – Test II – Test Duration Hrs.
Max. Marks
Duration Hrs.
Max. Marks
Duration Hrs.
Max. Marks
ECT 28 Optical Communications 3+1 - 4 2 20 2 20 3 60 100
ECT 29 Cellular and Mobile Communications
ECT 30 Elective – III 4 - 4 2 20 2 20 3 60 100
ECT 31 Elective – IV 4 - 4 2 20 2 20 3 60 100
PRACTICALS
ECP 11 Digital Signal Processing Lab - 3 2 Class Work 20 Test 20 3 60 100
ECP 12 Project work - 3 4 ContinuousAssessment 40 Disser- tation
Viva – Voce
LIST OF ELECTIVES
ECT 26 ELECTIVE – I ECT 27 ELECTIVE - II ECT 30 ELECTIVE - III ECT 31 ELECTIVE – IV
S.No. Elective S.No. Elective S.No. Elective S.No. Elective
a Biomedical Engineering
a Digital Image Processing
a Satellite Communications
a Information theory
b Optoelectronics b Telecommunication switching networks
b Optimization Techniques
b IC Fabrication Technology c Advanced Microprocessors
c MEMS c DSP Processors c Nano Electronics
d Neural networks and Fuzzy logic
d Television Engineering d Data & Computer communications
d Operating Systems
e Embedded systems e Advanced Digital Signal Processing
e Cryptography & network security
e Power Electronics
MAT 0 1: Engineering Mathematics – I (Common to All Branches)
Lecture : 4 hrs/ week Internal Assessment: 20+20=40 Marks
Tutorial : 1 hr/ week Semester End Examination: 60 Marks
Semester : I Cedits: 4
Course
Educational
Objectives :
- The emphasis is primarily on the development of analytical techniques.
- To make students familiar with Differential Equations and its solutions
- To provide the basic knowledge in transformations and in particular Laplace transforms
- Expansions of functions as a power series
- Roll’s and Mean value theorems and maxima, minima
- Curve tracing and Evaluation of Multiple Integrals
UNIT – I
Differential Equations: linear differential equations of second and higher order with constant coefficients-particular integrals-
homogeneous differential equations with variable coefficients-method of parameters-simulation equations.
UNIT – II
Laplace Transforms I: laplace transforms of standard functions-inverse transforms-transforms of derivatives and integrals-
derivatives of transforms-integrals of transforms
UNIT – III
Laplace Transforms II: transforms of periodic functions-convolution theorem-applications to solution of ordinary differential
equations.
UNIT – IV
Calculus: Roll’s and Mean value theorems-taylor’s and maclaurins’s series-maxima and minima for functions of two variables-
curve tracing (both Cartesian and polar coordinate).
UNIT – V
Multiple Integrals: evaluations of double and triple integrals-change of order of integrations-change of variables of integrations-
simple applications to areas and volumes.
.
Course
Outcomes:
At the end of the course the student will be able to CO1: Extends an ability to analyze differential equations and solve them CO2: The students become familiar with the applications of differential equations to engineering problems CO3:In Mathematics, a transform is usually a device that converts one type into another type presumably easier to solve CO4:Use shift theorems to compute the Laplace transform, inverse Laplace transform and the solutions of
second order, linear equations with constant coefficients CO5: Solve an initial value problem for an n th^ order ordinary differential equation using the Laplace transform CO6: Expand functions as power series using Maclaurin’s and Taylor’s series CO7: The problems in OR, Computer science, Probability, statistics deals with Functions of two or more variables. To optimize something means to Maximize or minimize some aspects of it. CO8: Curve tracing is an analytical method of drawing an approximate shape by the study of some of its important characteristics such as symmetry, tangents, regions etc it is useful in applications of finding length, area, volume. CO9: Multiple integral is a natural extension of a definite integral to a function of two, three variables and are useful in evaluating area and volume of any region bounded by the given curves.
Learning Resources
Text Books: 1. B S Grewal, Higher Engineering Mathematics, 40^ th^ Edition, Khanna Publications, 2007.
- M K Venkataraman, Engineering Mathematics, National Publishing Company, Chennai.
- B V Ramana, Higher Engineering Mathematics, 6 th^ Reprint, Tata McGraw-Hill, 2008.
- Bali and Iyengar, Engineering Mathematics, 6 th^ Edition, Laxmi Publications, 2006.
