Department of Electronics and Communication...

Department of Electronics and Communication

Engineering

Department of Electronics and

Communication Engineering

To develop self-motivated, creative & Ethical

Skilled Engineers and Researchers to meet

the Social Commitment.

M1: To impart State-of-Art Technical

Education.

M2: To encourage the students for

professional ethics & social responsibilities.

M3: To inculcate team work & leadership

qualities to make the students industry ready

& employable.

M4: To carry out research leading to the

realization of knowledge and intellectual

property.

M5: To facilitate graduates to become an

entrepreneur.

Departmental Vision

Departmental Mission

1



PEO1: Knowledge of Basic Engineering Sciences: To exhibit knowledge in Mathematics,

Engineering Fundamentals, Electronics & Communication Engineering and related fields for

professional achievement in industry and organizations.

PEO2: Engineering Design Skills: To equip the

students with the necessary problem solving skills relevant to the general practice of Engineering design.

PEO3: Problem Solving Ability: To produce

engineering graduates who have the problem solving ability to pursue advanced studies and research in all

disciplines.

PEO4: Technical Knowledge: To impart the

knowledge of theory and practices of ECE and its applications in areas of modern research and current industry trends to the students.

PEO5: Professional Skill: To inculcate

professional and ethical attitude, effective communication skills, teamwork skills, leadership

qualities, managerial skills & multidisciplinary approach in the students for successful career and

entrepreneurship.

Program Educational Objectives

(PEO)

2



PO1: Engineering knowledge: Apply the knowledge of

mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex

engineering problems.

PO2: 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 research-based 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.

Program Outcome (PO)

3



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: Life-long learning: Recognize the need for, and

have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Outcome (PO)

4



PSO1: Ability to Identify, Formulate & Solve

problems of basics of Electronics &

Communication Engineering and to apply

them to various areas like Analog & digital

Circuits, Signal & systems, Communication,

VLSI, Embedded System etc.

PSO2: Ability to design the systems of

Electronics & Communication Engineering

using advanced hardware and software tools

with analytical skills to achieve the Societal

needs.

PSO3: Knowledge of social & environmental

awareness along with ethical responsibility to

achieve a successful career addresses the real

world applications using optimal resources as

an entrepreneur.

Program Specific Outcome

(PSO)

5



Course Code

Course Title

Total Number of contact hours

Credits Lecture

(L) Tutorial (T)

Practical (P)

Total Hours

Semester I

M 101 Mathematics-I 3 1 0 4 4

CH 101 Chemistry-I 3 1 0 4 4

EE 101 Basic Electrical Engineering

3 1 0 4 4

HU 101 Communicative English

2 0 0 2 2

ME 101 Engineering Mechanics

3 1 0 4 4

HU181 Extra-Curricular Activity (NSS)

0 0 2 2 1

HU191 Lang. Lab. and Seminar Presentation

0 0 2 2 1

CH 191 Chemistry Lab 0 0 3 3 2

EE 191 Basic Electrical Engineering Lab

0 0 3 3 2

ME 191 Engineering Drawing &

Graphics

0 0 3 3 2

Semester II

M 201 Mathematics -II 3 1 0 4 4

PH 201 Physics - I 3 1 0 4 4

EC 201 Basic Electronics Engineering

3 1 0 4 4

CS 201 Computer Fundamentals & Principle of Computer

3 1 0 4 4

Departmental Curriculum

Structure

6



Programming

ME 201 Engineering Thermodynamics & Fluid Mechanics

3 1 0 4 4

CS291 Computer Fundamentals

& Principle of Computer Programming Lab

0 0 3 3 2

PH291 Physics -I Lab 0 0 3 3 2

EC 291 Basic Electronics Engineering Lab

0 0 3 3 2

ME 291 Workshop Practice

0 0 3 3 2

CS291 Computer Fundamentals & Principle of Computer Programming Lab

0 0 3 3 2

PH291 Physics -I Lab 0 0 3 3 2

MC 281 Soft Skill

Development

0 0 2 2 0

Semester III

M 301 Mathematics-III 3 1 0 4 4

M(CS) 301 Numerical Methods

3 0 0

3 3

EC 301 Solid State Devices

3 0 0

3 3

EC 302 Circuit Theory & Networks

3 1 0

4 4

CS(ECE) 301

Data Structure 3 0 0

3 3

M(CS) 391 Numerical Methods Lab

0 0 3

3 2

7



EC 392 Circuit Theory & Network Lab

0 0 3

3 2

CS(ECE) 391

Data Structure Lab

0 0 3

3 2

MC381 Technical Skill Development

0 0

2 2 2Units

Semester IV

PH(ECE)401

Physics II 3 0

0 3 3

EC 401 Signals & Systems

3 0

0 3 3

EC 402 Analog Electronic Circuits

3 1

0 4 4

EC 403 Digital Electronic And

Circuits

2 2 0 4 3

EC 404 Analog Communication

3 0

0 3 3

PH(ECE) 491

Physics II Lab 0 0 3 3 2

EC 492 Analog Electronic

Circuits Lab

0 0 3 3 2

EC 493 Digital Electronic And Circuits Lab

0 0 3 3 2

EC 494 Analog Communication Lab

0 0 3 3 2

HU 481

Technical Report Writing & Language Practice

0 0 2 2 1

Semester V

HU 501 Environmental Science

2 0

0 2 2

EC 501 Digital Communication Systems

2 2 0 4 3

8



EC 502 Microprocessor & Micro Controller

3 0 0 3 3

EC 503 Digital Signal Processing

3 0 0 3 3

EC 504A

EC 504B EC504C

Power Electronics

Electrical & Electronics Measurement Telecommunication Systems

3 0 0 3 3

EC 591 Digital Communication

Systems Lab

0 0 3 3 2

EC 592 Microprocessor & Micro Controller Lab

0 0 3 3 2

EC 593 Digital Signal Processing Lab

0 0 3 3 2

EC 581 Mini Project -I 0 0 4 4 2

MC 581 Group Discussion Practice

0 0 2 2 2 Units

Semester VI

EC 601 EM Wave Propagation & Antenna

2 2 0 4 3

EC 602 Information Theory & Coding

2 2 0 4 3

EC 603 Control System 3 0 0 3 3

EC 604A EC 604B

Object Oriented Programming Advanced Microcontroller & Embedded

3 0 0 3 3

9



EC 604C

System Optical Fibre Communication

EC 605A

EC 605B EC 605C

Engineering

System Design & Analysis

Material Science & Engineering Computer Communication & Networks

3 0 0 3 3

EC 691 EM Wave Propagation & Antenna Lab

0 0 3 3 2

EC 693 Control System Engineering Lab

0 0 3 3 2

EC 694A EC 694B

EC 694C

Object Oriented Programming Lab Advanced Microcontroller & Embedded

System Lab Optical Fibre Communication Lab

0 0 3 3 2

EC 681 Mini Project -II 0 0 12 12 6

EC 682 Industrial Training (4 Weeks)

0 0 0

0 1

Semester VII

HU 701 Organizational Behaviour, Values & Ethics

2 1 0 3 2

10



EC 701 RF & Microwave Engineering

3 0 0 3 3

EC 702 VLSI & Microelectronics

3 1 0 4 4

EC 703A

EC 703B EC 703C

Digital Image Processing

Computer Organization & Architecture Data Base Management Systems

3 0 0 3 3

EC 704A

EC 704B EC 704C

Artificial

Intelligence & Robotics Biomedical Electronics & Imaging Renewable Source & Applications

3 0 0 3 3

EC 791 RF & Microwave Engineering

Lab

0 0 0

3 2

EC 792 VLSI & Microelectronics Lab

0 0 0

3 2

EC 793A EC 793B EC 793C

Digital Image Processing Lab Computer Organization & Architecture Lab Data Base Management

0 0

0

3 2

11



Systems Lab

EC 781 Project I 0 0 6 3

MC 782 Technical Seminar Presentation

0 0 3

3 3 Units

Semester VIII

HU 801 Industrial & Financial Management

2 1 0 3 2

EC 801 Advanced Communication Systems

3 0 0 3 3

EC 802A EC 802B EC 802C

Advanced Semiconductor Devices EMI / EMC Mobile

Communication And Network

3 0 0 3 3

EC 803A EC 803B

EC 803C

Software Engineering Physical

Design, Verification & Testing Soft Computing

3 1 0 4 4

EC 891 Advanced Communication Lab

0 0 3 3 2

EC881 Project II 0 0 12 12 6

EC882 Grand Viva 0 0 0 0 2

Total 198

12



CO1 Able to explain the applicability of determinant

and matrix in the different types of engineering

problem.

CO2 Able to apply Mean value theorems &

expansion of function in engineering field.

CO3 Able to apply the area & volume integrals in

different engineering problems.

CO4 Able to apply vector concepts in numerous

engineering experiments and problems.

CO5 Application of improper integral in engineering

field.

Course Outcome (CO)

M101: Mathematics I

13



CO1 Able to apply fundamental concepts of

thermodynamics in different engineering

applications.

CO2 Able to analyze & design simple and

technologically advance electrical and energy

storage devices

CO3 Able to prepare composites, Synthetic

polymers, etc.

CO4 Able to apply the knowledge of chemical

reactions to industries and scientific and

technical fields.

CO5 Able to apply the knowledge of corrosion to

prevent corrosion in different industries.

CO6 Capable to evaluate theoretical and practical

aspects relating to the transfer of the

production of chemical products from

laboratories to the industrial scale, in

accordance with environmental considerations.

Course Outcome (CO)

CH101: Chemistry

14



CO1 Able to understand basics of R , L , C circuit

elements and voltage and current sources.

CO2 Able to Appreciate and analyze DC , AC and

magnetic circuits using KVL and KCL.

CO3 Able Understand working principle of various

analogue electrical measuring instruments.

CO4 Able to Comprehend the working of DC

machines, transformers and induction Motors.

EE101: Basic Electrical Engineering

Course Outcome (CO)

15



CO1 Able to understand basic grammar principles.

CO2 Able to write clear and coherent passages,

effective letters for job application and

complaints, technical reports.

CO3 Able to enhance reading comprehension.

CO4 Able to comprehend English speech sound

system, stress and intonation.

Course Outcome (CO)

HU101: Communicative English

16



CO1 Able to determine the resultant force and

moment for a given system of forces.

CO2 Able to analyze planar and spatial systems to

determine the forces in members of trusses,

frames and problems related to friction.

CO3 Able to calculate the motion characteristics of

a body subjected to a given force system.

CO4 Able to determine the deformation of a shaft

and understand the relationship between

different material constants.

CO5 Determine the centroid and second moment of

area.

Course Outcome (CO)

ME101: Engineering Mechanics

17



CO1 Able to understand advanced skills of

Technical Communication in English through

Language Laboratory.

CO2 Able to apply listening, speaking, reading and

writing skills in societal and professional life.

CO3 Able to demonstrate the skills necessary to be

a competent Interpersonal communicator.

CO4 Able to analyse communication behaviours.

CO5 Able to adapt to multifarious socio-economical

and professional arenas with the help of

effective communication and interpersonal

skills.

Course Outcome (CO)

HU191: Language Laboratory & Seminar

Presentation

18



CO1 Able to analyse different parameters of water

considering environmental issues.

CO2 Able to operate different types of instruments

for estimation of small quantities chemicals

used in industries and scientific and technical

fields.

CO3 Able to work as an individual also as an team

member

CO4 Able to synthesize Nano and polymer

materials.

CO5 Capable to design innovative experiments

applying the fundamentals of chemistry

Course Outcome (CO)

CH191: Chemistry Laboratory

19



CO1 Able to determine of B/H curve of a magnetic

material.

CO2 Able to analyze AC series, parallel and

balanced three phase circuits.

CO3 Able to determine Voltage regulation and

efficiency of a single phase transformer by

direct loading.

CO4 Able to control the Speed of a DC motor by

varying: - a. field current with armature

voltage kept constant b. armature voltage with

field current kept constant.

CO5 Able to study the Reversal of direction of

rotation of a three phase induction motor.

Course Outcome (CO)

EE191: Basic Electrical Engineering

Laboratory

20



CO1: Able to draw Orthographic projections of Lines,

Planes, and Solid.

CO2: Able to construct Isometric Scale, Isometric

Projections and Views.

CO3: Able to draw Sections of various Solids

including Cylinders, cones, prisms and

pyramids.

CO4: Able to draw projections of lines, planes,

solids, isometric projections and sections of

solids including Cylinders, cones, prisms and

pyramids using AutoCAD.

Course Outcome (CO)

ME191: Engineering Drawing &

Graphics

21



CO1: Able to up-to-date, in-depth knowledge of an

academic specialty, as well as a broad range of cultural and general knowledge.

CO2: Able to exhibit the professional knowledge and accepting ethical responsibility to the problems

of industry and society.

CO3: Able to develop Character, Comradeship, Discipline, Leadership, Secular Outlook, Spirit of Adventure and Ideals of Selfless Service

amongst the Youth of the Country;

CO4: Able to develop confidence for self-education for lifelong learning of advancements being happened around the world.

Course Outcome (CO)

XC181: Extra-Curricular Activity

(NSS/ NCC)

22



CO1: Able to apply the knowledge of first order

differentiation in engineering field.

CO2: Able to analyse type of higher order equations and apply in numerous engineering application.

CO3: Able to analyze graph theory concepts in

explaining the behavior of electrical, communication and electromagnetic field.

CO4: Able for application of Laplace Transform for solving various engineering problems.

Course Outcome (CO)

M201: Mathematics II

23



CO1: Able to explain the different types of

vibrations.

CO2: Able to apply the laser principles to holography.

CO3: Able to analyze the problems of black body radiation.

CO4: Able to evaluate X-ray in different

experiments/processes.

Course Outcome (CO)

PH201: Physics I

24



CO1 Able to identify semiconductor materials, draw

energy band diagram, distinguish between

intrinsic and extrinsic semiconductor,

calculate drift and diffusion current

component.

CO2 Able to characterize semiconductors, diodes,

transistors and operational amplifiers.

CO3 Able to know the application of Diode, BJT &

OPAMP.

CO4 Able to identify functions of digital Multimeter,

cathode ray oscilloscope and transducers in

the measurement of physical variables.

Course Outcome (CO)

EC201: Basic Electronics Engineering

25



CO1 Able to develop algorithms for mathematical

and scientific problems.

CO2 Able to understand the components of

computing systems.

CO3 Able to choose data types and structures to

solve mathematical and scientific problem.

CO4 Able to develop modular programs using

control structures.

CO5 Able to write programs to solve real world

problems using object oriented features.

Course Outcome (CO)

CS201: Computer Fundamentals &

Principle of Computer Programming

26



CO1 Able to apply fundamental concepts of

thermodynamics to engineering applications.

CO2 Able to estimate thermodynamic properties of

substances in gas and liquid states

CO3 Capable to determine thermodynamic

efficiency of various energy related processes

CO4 Able to Know the basic principles of fluid

mechanics

CO5 Able to analyze fluid flow problems with the

application of the momentum and energy equations

Course Outcome (CO)

ME201: Engineering Thermodynamics &

Fluid Mechanics

27



CO1 Able to know some basic commands of DOS,

Windows and Linux Operating System, File handling and Directory structures, file permissions, creating and editing simple C

program, compilation and execution of C program..

CO2 Able to write C Programs on variable, expression, operator and type-casting using Writing C Programs using different structures

of if-else, switch-case, loop (for loop, while loop and do-while loop) and use of break and

continue statement and functions.

CO3 Able to write C Programs demonstrating

concept of Single & Multidimensional arrays, Function and Recursion, Pointers, address of operator, declaring pointers and operations on

pointers, structures, union and pointer to structure, String and command line arguments, dynamic memory allocation and

File Programming.

CO4 Able to implement modular programs using

functions.

Course Outcome (CO)

CS291: Computer Fundamentals &

Principle of Computer Programming

Laboratory

28



CO1: Able to use CRO, Signal generator,

spectrometer, polarimeter and GM counter for making measurements.

CO2: Able to test optical components using principles of interference and diffraction of

light.

CO3: Able to determine the selectivity parameters in electrical circuits.

CO4: Able to determine the width of narrow slits, spacing between close rulings using lasers and

appreciate the accuracy in measurements.

PH291: Physics I Laboratory

Course Outcome (CO)

29



CO1 Knowledge of Electronic components such as

Resistors, Capacitors, Diodes, Transistors

measuring equipment like DC power supply,

Multimeter, CRO, Signal generator, DC power

supply.

CO2 Analyze the characteristics of Junction Diode,

Zener Diode, BJT & FET and different types of

Rectifier Circuits.

CO3 Determination of input-offset voltage, input

bias current and Slew rate, Common-mode

Rejection ratio, Bandwidth and Off-set null of

OPAMPs.

CO4 Able to know the application of Diode, BJT &

OPAMP.

Course Outcome (CO)

EC291: Basic Electronics Engineering

Laboratory

30



CO1: Able to study and practice on machine tools

and their operations.

CO2: Able to practice on manufacturing of components using workshop trades including fitting, carpentry, foundry and welding.

CO3: Able to identify and apply suitable tools for

machining processes including turning, facing, thread cutting and tapping.

CO4: Able to apply basic electrical engineering knowledge for house wiring practice.

Course Outcome (CO)

ME292: Workshop Practice

31



CO1: Able to handle emotions including tolerance

and behavioural responses, building positive friendships and bonding with peers and classmates, learning to show understanding

and to demonstrate respect for the opinions, personal space and beliefs of others.

CO2: Able to develop the self-motivation, raised aspirations and belief in one’s own abilities, defining and committing to achieving one’s

goals.

CO3: Able to assess the requirements of a task, identifying the strengths within the team,

utilising the diverse skills of the group to achieve the set objective, awareness of risk/safety.

CO4: Able to demonstrate the clear briefing and

listening skills, not being afraid to ask for help and support when necessary.

CO5 Able to develop the employability skills – time and resource management, conflict resolution,

teaching and mentoring others

Course Outcome (CO)

MC281: Soft Skill Development

32



CO1: Able to apply the knowledge of Fourier series

and transform in engineering problems like finding the frequency of wave propagation.

CO2: Able to apply the knowledge of Complex Analysis viz the Cauchy Residue Theorem to

evaluate integrals and sum series.

CO3: Able to solve the stochastic model of engineering problems using the idea of different kind of engineering problems.

CO4: Able to know that differential equation is a

very important mathematical model of many problems in the application of engineering and also be able to utilize theories and methods

learned in the course to analyze and solve a differential equation.

Course Outcome (CO)

M301: Mathematics III

33



CO1: Able to numerically approximate functions

with polynomials.

CO2: Able to understand basics of finite precision arithmetic, conditioning of problems and stability of numerical algorithms.

CO3: Able to solve numerically a scalar nonlinear

equation.

CO4: Able to solve dense systems of linear equations and have a working knowledge of LU factorizations for these problems.

Able to use the method of lines to solve basic

partial differential equations.

Course Outcome (CO)

M(CS)301: Numerical Methods

34



CO1: Able to understand the Energy band diagram,

charge carrier transport phenomenon and recombination-generation process of different types of semiconductor materials.

CO2: Able to study and analyze the Characteristics

& Current flow of semiconductor devices like BJT, JFET, MOSFET, MESFET, HEMT & Metal-Semiconductor Junction & Hetero

Junction Devices.

CO3: Able to analyze the design parameters of MOSFET i.e- Channel length & width,

depletion width, surface field and potential, ON resistance, trans conductance, equivalent circuits, amplification factors, capacitances,

noise margins, scaling & short channel effects MOSFET .

CO4: Able to Illustrate rectifying properties of different types of junction diode, Importance of reverse current in optical detectors, photo-

diodes, solar cells, Tunnel diode, LED & Thyristors.

Course Outcome (CO)

EC301: Solid State Devices

35



CO1: Able to understand basics electrical circuits

with nodal and mesh analysis.

CO2: Able to appreciate electrical network theorems.

CO3: Able to apply Laplace Transform for steady state and transient analysis.

CO4: Able to determine different network functions.

Course Outcome (CO)

EC302: Circuit Theory & Networks

36



CO1: Able to access how the choices of data

structure & algorithm methods impact the performance of program.

CO2: Able to Solve problems based upon different data structure & also write programs.

CO3: Able to Choose an appropriate data structure

for a particular problem.

Course Outcome (CO)

CS (ECE) 301: Data Structure

37



CO1: Able to numerically approximate functions

with polynomials.

CO2: Able to understand basics of finite precision arithmetic, conditioning of problems and stability of numerical algorithms.

CO3: Able to solve numerically a scalar nonlinear

equation.

CO4: Able to solve dense systems of linear equations and have a working knowledge of LU factorizations for these problems.

CO5 Able to use the method of lines to solve basic

partial differential equations.

Course Outcome (CO)

M (CS) 391: Numerical Methods

Laboratory

38



CO1: Explain the concept of circuit laws and

network theorems and apply them to laboratory measurements.

CO2: Become proficient with computer skills (e.g., TSPICE and PSPICE) for the analysis and

design of circuits.

CO3: Understand Transient Response in Series & Parallel Resonant circuits, R-L & R-C Networks;

CO4: Understand of Impedance (Z), and Admittance

(Y) parameters of Two-port networks.

Course Outcome (CO)

EC392: Circuit Theory & Network

Laboratory

39



CO1: Able to design and analyze the time and space efficiency of the data structure.

CO2: Capable to identity the appropriate data structure for given problem.

CO3: Able to gathered practical knowledge on the

application of data structures.

Course Outcome (CO)

CS (ECE) 391: Data Structure

Laboratory

40



CO1: Able to design electronic circuits using passive components.

CO2: Able to design DC power supplies.

CO3: Able to design Amplifier & Analog Filter Circuits.

CO4 Able to design Simple Digital electronics

circuits using logic gates.

Course Outcome (CO)

MC 381: Technical Skill Development

41



CO1: Able to understand basic laws of electromagnetism using vector calculus.

CO2: Able to apply Schrodinger equation to solve quantum mechanical problems.

CO3: Able to explain the behavior of electromagnetic

waves.

CO4 Able to discriminate between different

statistics.

Course Outcome (CO)

PH (ECE) 401: Physics II

42



CO1: Able to characterize and analyze the properties

of continuous time and discrete time signals

and systems

CO2: Able to analyze continuous time and discrete

time systems in time domain.

CO3: Able to represent continuous and discrete

systems in the Frequency domain using

Fourier Analysis tools like CTFS, CTFT, DTFS

and DTFT.

CO4 Able to understand the effects of sampling a

continuous time signal

Able to analyze continuous time and discrete

time systems using Laplace transforms and Z

Transforms.

Course Outcome (CO)

EC401: Signal & Systems

43



CO1 Able to design filters, regulators for dc power

supply and SMPS circuits

CO2 Able to illustrate voltage amplifier and power

amplifier using BJT

CO3 Able to analyze feedback amplifier and RC &

LC sinusoidal oscillator circuits.

CO4 Able to implement mathematical circuits,

precision rectifier, voltage to current and

current to voltage converter using op-Amp.

CO5 Able to develop multivibrator circuits using

555 timer, VCO Circuits.

Course Outcome (CO)

EC402: Analog Electronic Circuits

44



CO1 Able to understand number systems

conversions and Boolean algebra and design

logic circuits using logic gates to their simplest

forms using DeMorgan’s Theorems; Karnaugh

Maps.

CO2 Able to design & analyze combinational

circuits and logic circuits with Programmable

Logic Devices.

CO3 Able to design and analyze of various

synchronous and asynchronous sequential

circuits using State Diagrams & Tables.

CO4 Able to understand Digital To Analog

Conversion, Analog To Digital Conversion

technique and corresponding circuits.

CO5 Able to Analyze logic family interfaces,

switching circuits & memory storage devices to

Plan and execute projects.

Course Outcome (CO)

EC403: Digital Electronic & Circuits

45



CO1 Able to describe different types of noise and

predict its effect on various analog

communication systems.

CO2 Able to analyze energy and power spectral

density of the signal.

CO3 Able to express the basic concepts of analog

modulation schemes

CO4 Able to evaluate analog modulated waveform in

time /frequency domain and also find

modulation index.

CO5 Able to develop understanding about

performance of analog communication

systems.

CO6 Able to calculate bandwidth and power

requirements for analog systems.

CO7 Able to analyze different characteristics of

receiver.

Course Outcome (CO)

EC404: Analog Communication

46



CO1 Able to understand the motion of

electrons in crossed electric and

magnetic field.

CO2 Able to explain the photoelectric effect.

CO3 Able to demonstrate the Hall effect in

conductors and semi-conductors.

CO4 Able to measure the band gap for semi-

conductors.

CO5 Able to understand the motion of

electrons in crossed electric and

magnetic field.

Course Outcome (CO)

PH (ECE) 491: Physics II Laboratory

Laboratory

47



CO1 Able to construct Regulated Power

Supply.

CO2 Able to design Transistor based single

stage R-C coupled voltage amplifier and

different classes of power amplifier

circuit with given specification.

CO3 Able to construct a-stable, bi-stable and

mono-stable mode timer circuit using IC

555.

CO4 Able to design Inverting and Non-

inverting amplifier, Integrator,

differentiator, Wien bridge and RC

phase shift oscillator using Op-Amp.

EC492: Analog Electronic Circuits

Laboratory

Course Outcome (CO)

48



CO1: Able to understand the fundamental concepts

and techniques used in digital electronics.

CO2: Able to understand and examine the structure

of various number systems, De-Morgan’s law,

Boolean algebra and its application in digital

design.

CO3: Able to understand, analyse the timing

properties (input setup and hold times,

minimum clock period, output propagation

delays) and design various combinational and

sequential circuits using various metrics:

switching speed, throughput/latency, gate

count and area, energy dissipation and power.

CO4: Able to understand different digital circuits

using Programmable Logic Devices.

CO5: Able to know how to interface digital circuits

with ADC & DAC.

EC493: Digital Electronic Circuits

Laboratory

Course Outcome (CO)

49



CO1: Able to analyse energy and power spectral density of the signal and Calculate bandwidth and power requirements for analog systems.

CO2: Able to express the basic concepts of analog

modulation schemes.

CO3: Able to describe different types of noise and predict its effect on various analog communication systems.

CO4: Able to evaluate analog modulated waveform in

time /frequency domain and also find modulation index.

CO5: Able to analyse different characteristics of receiver.

Course Outcome (CO)

EC494: Analog Communication Laboratory

50



CO1: Able to develop listening skills and its sub

skills through language lab audio device.

CO2: Able to acquire various experience on speaking skills and its sub skills.

CO3: Able to practice different master linguistic and paralinguistic features.

CO4: Able to practice conversation using language

lab audio visual input.

CO5: Able to participate in group discussion through audio visual input and acquainting them with key strategies for success.

CO6: Able to enhance writing skills and its sub

skills.

Course Outcome (CO)

HU481: Technical Report Writing &

Language Practice Laboratory

51



CO1: Able to get the knowledge of General Basic ideas of environment.

CO2: Understand the Environmental degradation, Elements of ecology, Structure and function of

ecosystem, Biogeochemical Cycle and Biodiversity.

CO3: Able to know the Air pollution and control Atmospheric Composition.

CO4: Able to get the knowledge of Energy balance,

Green house effects, Lapse rate, Atmospheric dispersion, Definition of pollutants and contaminants, Primary and secondary

pollutants, Depletion Ozone layer.

CO5: Understand the Water Pollution and Control, Land Pollution, Noise Pollution and Environmental Management.

Course Outcome (CO)

HU501: Environmental Science

52



CO1: Able to apply the knowledge of statistics in Digital communication and its modelling.

CO2: Able to understand the concepts of signal, geometrical representation of signal and the

performance of digital communication system in the presence of noise.

CO3: Able to analyze sampling, quantization in digital transmission, PAM, PCM, companding,

DPCM, Adaptive Modulation.

CO4: Apply the concept of line coding techniques and their PSD, ISI in digital communication.

CO5: Analyze the digital modulation techniques, generation and detection, power spectra and

their probability of error performance.

Course Outcome (CO)

EC501: Digital Communication Systems

53



CO1: Able to correlate the architecture, instructions,

timing diagrams, addressing modes, memory interfacing, interrupts, data communication of

8085.

CO2: Able to interpret the 8086 Microprocessor-Architecture, Pin details, memory segmentation, addressing modes, basic

instructions, interrupts.

CO3: Able to recognize 8051 micro controller hardware, input/output pins, ports, external memory, counters and timers, instruction set,

addressing modes, serial data i/o, interrupts.

CO4: Able to apply instructions for assembly language programs of 8085, 8086 and 8051.

CO5: Able to design peripheral interfacing model using IC 8255, 8253, 8251 with IC 8085, 8086

and 8051.

Course Outcome (CO)

EC502: Microprocessor &

Microcontroller

54



CO1: Able to find DFT of a given signal through Fast

Fourier Transform Techniques.

CO2: Able to design FIR and IIR type digital filters.

CO3: Able to identify filter structures and evaluate the coefficient quantization effects.

CO4: Able to understand sample rate conversion techniques.

CO5: Able to compare the architectures of DSP and

General Purpose Processors.

Course Outcome (CO)

EC503: Digital Signal Processing

55



CO1: Able to know concepts of semiconductor

switches.

CO2: Able to understand operation and applications of different power electronic converters

CO3: Able to appreciate working of PWM techniques.

CO4: Able to comprehend operation of inverter

Course Outcome (CO)

EC504A: Power Electronics

56



CO1: Able to understand and estimate errors in a

measurement system.

CO2: Able to identify the instrument suitable for specific measurements.

CO3: Able to estimate accurately the values of R, L and C employing suitable bridges.

CO4: Able to understand the basic principles of

transducers for displacement, velocity, temperature and pressure.

CO5: Able to operate special measuring instruments such as Wave Analyser, Harmonic Distortion

Analyser and Spectrum Analyser.

CO6: Able to identify data acquisition system for a specific application.

Course Outcome (CO)

EC504B: Electrical & Electronics

Measurement

57



CO1: Able to understand the components and

Instruments of different Switching System.

CO2: Able to enumerate co-axial fibre optic cable, PCM technique.

CO3: Able to illustrate Traffic Engineering and Subscriber loop system.

CO4: Able to describe Stored Program Control

System.

CO5: Able to outline about the standards of Modems and IP Telephony.

Course Outcome (CO)

EC504C: Telecommunication Systems

58



CO1: Able to understand basic theories of Digital

communication system in practical.

CO2: Understand the concepts of signal, geometrical representation of signal and the performance

of digital communication system in the presence of noise.

CO3: Analyze sampling, quantization in digital transmission, PAM, PCM, companding, DPCM,

Adaptive Modulation.

CO4: Able to use the Polar, Unipolar, Bipolar NRZ, RZ and Manchester line coding techniques and their PSD, ISI in digital communication.

CO5: Analyze the digital modulation techniques,

generation and detection, power spectra and their probability of error performance.

EC591: Digital Communication Laboratory

Course Outcome (CO)

59



CO1: Able to Understand and apply the

fundamentals of assembly level programming of microprocessors and microcontroller.

CO2: Work with standard microprocessor real time interfaces including GPIO, serial ports, digital-

to-analog converters and analog-to-digital converters;

CO3: Analyze abstract problems and apply a combination of hardware and software to

address the problem;

CO4: Use standard test and measurement equipment to evaluate digital interfaces.

Course Outcome (CO)

EC592: Microprocessor & Microcontroller

Laboratory

60



CO1: Ability to analyze sampled Sinusoidal signal,

various sequences and different arithmetic operations, convolution properties of convolution, circular convolution,

differentiation between linear and circular convolutions, sectioned convolution.

CO2: Understand and analyze z-transform of various sequences - verification of the properties.

CO3: Acquired knowledge of Twiddle factors, DFT,

FFT, and IDFT.

CO4: Ability to design of Butterworth Filter design with different set of design parameters, using Rectangular, Hamming, Hamming, Bartlett

windows and comparisons of these designs.

CO5: Acquired knowledge of Hardware Laboratory using DSP Processors.

EC593: Digital Signal Processing

Laboratory

Course Outcome (CO)

61



CO1: Able to learn the basic concepts of

electromagnetic wave radiation and reception.

CO2: Able to acquired knowledge for the analysis of Transmission Lines and Antennas.

CO3: Able to understand important and fundamental antenna engineering parameters

and terminology.

CO4: Able to develop the performance characteristics of array antennas, wire and aperture antennas.

CO5: Able to acquired knowledge of Application of

Different types of Antennas.

Course Outcome (CO)

EC601: EM wave Propagation & Antenna

62



CO1: Able to understand the concepts of

information, mutual information and entropy and various source coding techniques

CO2: Able to analyse the need for error control

techniques in a digital communication system channel models, channel capacity and channel coding techniques.

CO3: Able to apply linear algebra, concept of Galois field, conjugate roots, minimal polynomial in

channel coding techniques for error control.

CO4: Able to generate different error control codes like linear block codes, cyclic codes, BCH codes, and perform error detection and

correction.

CO5: Able to design the circuit for different error

control coding techniques.

Course Outcome (CO)

EC602: Information Theory & Coding

63



CO1: Able to do mathematical modelling and

derivation of transfer function of various systems.

CO2: Able to determine the stability of system and

analyse the system in time domain.

CO3: Able to analyse the systems in frequency

domain.

CO4: Able to do state space modelling of system and its analysis.

Course Outcome (CO)

EC603: Control System

64



CO1: Able to understand fundamental concepts in

object oriented approach.

CO2: Able to analyze design issues in developing

OOP applications.

CO3: Able to write computer programs to solve real

world problems in Java.

CO4: Able to analyze source code API

documentations.

CO5: Able to create GUI based applications.

Course Outcome (CO)

EC604A: Object Oriented Programming

65



CO1: Able to design, development, programming,

and testing of a PIC microcontroller & ARM-

based embedded system

CO2: Able to demonstrate a working knowledge of

the necessary steps and methods used to

interface a microcontroller system to devices

such as motors, sensors, etc.

CO3: Able to identify the hardware and software

components of appropriate embedded system

architecture for the given application.

CO4: Able to Know the hardware Design, Software

Development & RTOS for the Embedded

Systems.

CO5: Able to write programs optimized performance

of an embedded system and validate.

Course Outcome (CO)

EC604B: Advanced Micro Controller &

Embedded System

66



CO1: Able to identify and characterize different

components of an Optical Fiber Communication link.

CO2: Able to analyze optical source, Fiber and Detector operational parameters.

CO3: Able to compute optical fiber link design

parameters.

CO4: Able to understand WDM, Optical Amplifiers, Optical Switching and networking technology concepts.

Course Outcome (CO)

EC604C: Optical Fiber Communication

67



CO1: Able to identify, generalise and adapt

methodologies for analysing designs and systems.

CO2: Able to apply and critique analysis techniques to review and construct arguments for design

or operational decisions under uncertainty.

CO3: Able to synthesise technical engineering discipline knowledge and whole-of-system methodologies to improve outcomes for a real-

world client in a team environment.

CO4: Able to generate concise and coherent documentation for both a technical and general audience am environment.

CO5: Able to design, research and defend an

analysis of a complex engineering problem or system. am environment.

Course Outcome (CO)

EC605A: Engineering System Design &

Analysis

68



CO1: Able to correlate the Atoms and their binding,

Bonds, Crystal Systems Amorphous Materials;

Lattice defects, surface and volume defects.

CO2: Able to classify magnetic materials –

Diamagnetism, Paragnetism, Ferrognetism,

Ferrimagnetism, Magnetic Domains, hard and

Soft Materials, SQUID.

CO3: Able to understand the properties and

usefulness of nanomaterials in medicine,

biology and sensing.

CO4: Able to identify Materials for Optical

Communication, Data Storage, Magneto

electronic Materials, Materials for Display

Devices.

CO5: Able to characterize the superconducting

materials.

CO6: Able to understand modelling of composite

materials by finite element analysis.

Course Outcome (CO)

EC605B: Material Science & Engineering

69



CO1: Able to understand how communication works

in computer networks and to understand the

basic terminology of computer networks.

CO2: Able to realize the role of protocols in

networking and to analyze the services and

features of the various layers in the protocol

stack.

CO3: Able to recognize design issues in Network

Security and to understand security threats,

security services and mechanisms to counter

them.

Course Outcome (CO)

EC605B: Computer Communication &

Network

70



CO1: Able to define, identify and list out types

transmission line, its characteristics in various load conditions also to name, recognize

antennas along with its characteristics in the field of communication.

CO2: Able to analyse, judge, justify and recommend

the suitable transmission line and antenna

with their engineering arithmetic – for the

specific purpose.

CO3: Able to sketch, show, solve and implement

suitably the various Transmission line

component, passive devices, software tools and

measuring instruments in the field of Radio

Frequencies, for the betterment of

communication, research and development

and day to day life, with the utilization of

engineering mathematics.

EC 691: EM Wave Propagation & Antenna

Laboratory

Course Outcome (CO)

71



CO1: Able to explain the mathematical techniques of

system module analysis with the software, (i.e. MATLAB & p-SPICE).

CO2: Analyze the step response for the electronic

system along with the continuous and discrete time control techniques, including analog and digital PI, PD, PID controllers, fuzzy logic

controllers, neural network controllers, root locus, Bode-plot, Nyquist Plot.

CO3: Able to design the multivariable control (control of several interacting variables of a

physical process) and strategies for multivariable processes.

CO4: Able to implement some basic concepts in nonlinear control, steady-state error, setup

time, percentage peak overshoots, gain margin, phase margin along with the lead compensator

in forward path transfer functions.

CO5: Design of different types of controller system with servomotor and microprocessor /microcontroller.

Course Outcome (CO)

EC693: Control System Engineering

Laboratory

72



CO1: Able to Implement Object Oriented

Programming Concepts (class, constructor,

overloading, inheritance, overriding) in java.

CO2: Able to use and create packages and graphical

user interface in Java programs

CO3: Able to create Applets

CO4: Able to implements exception handling and

multithreading in java.

Course Outcome (CO)

EC694A: Object Oriented Programming

Laboratory

73



CO1: Able to familiarize with the Kiel µVision-3/4

and IAR Embedded Workbench tools.

CO2: Able to understand the internal organization of some popular microprocessors (ARM) /microcontrollers (PIC).

CO3: Able to design, development, programming,

and testing of an ARM Processor & PIC microcontroller-based embedded system.

CO4: Able to experience with a set of tools for embedded systems programming and

debugging

CO5: Able to develop existing embedded systems by formulating the system design problem including the design constraints, create a

design that satisfies the constraints, implement the design in hardware and

software, and measure performance against the design constraints.

Course Outcome (CO)

EC694B: Advanced Microcontroller &

Embedded System Laboratory

74



CO1: Able to know the fundamentals, advantages

and advances in optical communication system.

CO2: Familiarize with types, basic properties and transmission characteristic of optical fibres.

CO3: Experience with the Knowledge of working and

analysis of optical amplifiers and important parts at the transmitter (Semiconductor lasers/LEDs, modulators etc) as well as at the

receiver sides (optical detector etc.) of the optical communications system.

CO4: Develop the knowledge on Configuration and architecture of coherent optical

communication, advanced system techniques and nonlinear optical effects and their

applications.

Course Outcome (CO)

EC694C: Optical Fiber Communication

Laboratory

75



CO1: Able to solve the real world problems

CO2: Able to understand the concepts of design methodologies & its implementation

CO3: Able to implement the testing methodologies.

CO4: Able write a Technical report/thesis

Course Outcome (CO)

EC681: Project-II

76



CO1: Able to increase exposure to industries.

CO2: Able to be accustomed with working environment in industries.

CO3: Able to get the opportunity to work with live projects.

Course Outcome (CO)

EC682: Industrial Training

77



CO1: Able to be familiarized with various aspects of

organizational behaviour, personality and attitude, perception, motivation etc.

CO2: Able to explain about group behaviour,

communication and leadership.

CO3: Able to analyze various features of leadership

and organizational politics.

CO4: Able to critically analyse the social, political, organisational, economic and environmental

drivers that both enable and limit public policy reform and apply to professional practice.

CO5: Able to use appropriate ethical ideas and reflective practice skills to engage in

professional policy practice and scholarship.

Course Outcome (CO)

HU701: Organizational Behaviour,

Values & Ethics

78



CO1: Able to analyze the Microwave waveguide, Planar transmission lines and High frequency circuit elements.

CO2: Able to estimate the direction of waves through

passive waveguide components and representation of Scattering matrix.

CO3: Able to illustrate the construction and working principle of Microwave tubes, Semiconductor

Microwave Devices and their typical characteristics and applications.

CO4: Able to demonstrate the design of microwave amplifier and the working principle of

microwave test bench.

Course Outcome (CO)

EC701: RF & Microwave Engineering

79



CO1: Able to describe about VLSI design Flow, types of VLSI chips, ASIC design principles and design domains.

CO2: Able to illustrate the IC fabrication process,

CMOS technology and layout design.

CO3: Able to design digital VLSI circuits using CMOS techniques, TG logic, dynamic logic.

CO4: Able to develop basic building blocks of analog VLSI circuits such as MOS active load /

resistors, CMOS Current source & sink, CMOS Voltage references, CMOS OPAMP and switched capacitor circuits.

CO5: Model and design a heterogeneous FPGA based

embedded system using Cad Tools.

Course Outcome (CO)

EC702: VLSI & Microelectronics

80



CO1: Able to explain the structure of human eye, image formation, Brightness, sensing and acquisition, storage, Processing,

Communication, Display Image Sampling and quantization, spectrum analysis.

CO2: Able to illustrate image Enhancement in the Spatial and Frequency Domain, image

transformations, Histogram processing, time and Spatial filtering.

CO3: Able to evaluate Image and video Data Compression, Redundancies.

CO4: Able to develop Morphological Processed Image

using Dilation, Erosion, Opening, closing, Hit -or-miss transformation.

CO5: Able to evaluate Image Segmentation by detection of discontinuities, Edge linking and

Boundary detection, Thresholding, Image Representation schemes, Boundary

descriptors, and Regional descriptors.

Course Outcome (CO)

EC703A: Digital Image Processing

81



CO1: Able to recognize the architectures of

processors used in computing systems.

CO2: Able to understand memory hierarchy and virtual memory concept.

CO3: Able to design ALU and IEEE-754 single precision floating point processor.

CO4: Able to realize Micro-programmed control units

for a simple processor and a floating point processor.

CO5: Able to identify I/O data transfer techniques and future trends.

Course Outcome (CO)

EC703B: Computer Organization &

Architecture

82



CO1: Able to analyze database requirements and determine the entities involved in the system and their relationship to one another.

CO2: Able to develop the logical design of the

database using data modeling concepts such as entity-relationship diagrams.

CO3: Able to create a relational database using a relational database package.

CO4: Able to manipulate a database using SQL.

CO5: Able to assess the quality and ease of use of

data modeling and diagramming tools.

Course Outcome (CO)

EC703C: Data Base Management System

83



CO1: Able to learn to make self-learning/adaptive control systems for robots/intelligent systems.

CO2: Able to program an artificially intelligent robot for applications involving sensing, navigation,

path planning, and navigating with uncertainty.

CO3: Able to characterize the ways in which Artificial Intelligence is organized in robots.

CO4: Able to understand the architectures that

provide exemplars of how to transfer the principles of the paradigm into a coherent, reusable implementation on a single robot or

teams of robots.

CO5: Able to design and develop robotic systems for services and industrial applications, including safety and security, space, home, care of the

elderly, medicine;

Course Outcome (CO)

EC704A: Artificial Intelligence &

Robotics

84



CO1: Able to understand the working principles of

the Biomedical Electronic Circuits, measure circuit performance, and solve problems in the areas of biomedical signals.

CO2: Able to understand the physical and medical

principles used as a basis for biomedical instrumentation.

CO3: Able to demonstrate & evaluate appropriate positioning skills to produce a quality

diagnostic radiographic image considering radiation protection and elements of risk for

different instrumentation methods and basic electrical safety.

CO4: Able to conduct themselves in a professional manner interacting with patients and other

members of the healthcare team to attain a common goal in modern hospital care with the profession’s Code of Ethics.

Course Outcome (CO)

EC704B: Biomedical Electronics &

Imaging

85



CO1: Able to understand energy demand of world,

nation and the characteristics of available non-conventional energy sources & the techniques to utilize them effectively to fulfil the demand.

CO2: Able to know working of off-grid & grid-

connected renewable energy generation scheme.

CO3: Able to Grasp basics of distributed generation

system.

CO4: Able to understand and perform the various

characterization techniques of fuels.

CO5: Able to acquire the knowledge of modern energy conversion technologies.

Course Outcome (CO)

EC704C: Renewable Energy &

Applications

86



CO1: Able to Define, identify and list out special type

transmission line, its characteristics in microwave frequencies and concept of load.

CO2: Able to analyse and use the various sources of microwave energy and the characters of its

operation.

CO3: Able to recognize, memorize, categorize, arrange and implement suitably the various

microwave passive devices with the utilization of engineering mathematics.

CO4: Able to use, compute, solve, demonstrate and apply various hardware, software tools and

measuring instruments in the field of Radio Frequencies, for the betterment of communication engineering, medical science

and various domestic and commercial engineering.

Course Outcome (CO)

EC791: RF & Microwave Engineering Laboratory

87



CO1: Introduce digital design techniques using

VHDL and ability to write test benches in VHDL.

CO2: Acquired knowledge about FSM and how to code a FSM & ability to synthesize the VHDL

code.

CO3: Acquired knowledge for EDA tools for VLSI design /FPGA based system design.

CO4: Understand the characteristics and design methodology of combinational & sequential

logic circuits using static and dynamic CMOS logic, CMOS transmission gates logic, Pass Transistor logic, DCVSL, NORA & Domino

logic.

CO5: Ability to design layout of CMOS circuits.

Course Outcome (CO)

EC792: VLSI & Microelectronics

Laboratory

88



CO1: Understand image formation and the role

human visual system plays in perception of gray and color image data.

CO2: Get broad exposure to and understanding of various applications of image processing in

industry, medicine, and defense.

CO3: Learn the signal processing algorithms and techniques in image enhancement and image restoration.

CO4: Acquire an appreciation for the image

processing issues and techniques and be able to apply these techniques to real world problems.

CO5: Be able to conduct independent study and

analysis of image processing problems and techniques.

Course Outcome (CO)

EC793A: Digital Image Processing

Laboratory

89



CO1: Ability to analyze, design, implement, and test

assembly language programs.

CO2: Ability to describe the structure and functioning of a digital computer, including its overall system architecture, operating system,

and digital components.

CO3: Ability to design the data path and control unit of a simple CPU.

CO4: Able to explain the generic principles that underlie the building of a digital computer,

including data representation, digital logic and processor programming.

Course Outcome (CO)

EC793B: Computer Organization &

Architecture Laboratory

90



CO1: Ability to understand, analyze and apply

common SQL statements including DDL, DML and DCL statements to perform different operations.

CO2: Ability to design different views of tables for

different users and to apply embedded and nested queries.

CO3: Ability to design and implement a database for a given problem according to well-known

design principles that balance data retrieval performance with data consistency.

Course Outcome (CO)

EC793C: DBMS Laboratory

91



CO1: Ability to develop skills in presentation and

discussion of research topics in a public forum.

CO2: Able to get exposure to a variety of research projects and activities in order to enrich their

academic experience

CO3: Ability to develop and enhance leadership skills.

CO4: Able to improving communication skills, presentation skills and other soft skills.

Course Outcome (CO)

MC782: Technical Seminar Presentation

92



CO1: Ability to understand the basic principles,

approaches, functions of management and use appropriate methods/tools of inventory classification and control in industry.

CO2: Able to identify and utilize various techniques

for improving productivity and marketing mix in the formulation of marketing strategies during the life cycle of product using work

study.

CO3: Able to get the knowledge of Cash Flow, Interest & Equivalence, inflation & Price

Change and Economic Decision Trees.

CO4: Able to understand Depreciation, Capital

Allowance Methods, Replacement and Cost Accounting.

CO5: Able to apply the concepts and tools of quality

engineering in the design of products and process controls.

Course Outcome (CO)

HU801: Industrial & Financial

Management

93



CO1: Able to architect, interpret, and select

appropriate technologies for implementation of specified Satellite & Optical Fibre communication systems.

CO2: Able to analyse and evaluate a satellite link &

optical fibre link and suggest enhancements to improve the link performance.

CO3: Able to select an appropriate modulation, multiplexing, coding and multiple access

schemes for a given satellite communication link.

CO4: Able to analyze optical source, Fiber and Detector operational parameters.

CO5: Able to understand WDM, Optical Amplifiers,

Optical Switching and networking technology concepts.

Course Outcome (CO)

EC801: Advanced Communication

Systems

94



CO1: Able to understand the operating principles of

modern semiconductor devices, to relate terminal properties to their internal structure, and how terminal properties will change with

operating conditions.

CO2: Able to understand the limitations of existing technology on such fast-growing and high-demanding society.

CO3: Able to innovatively project the future

development of semiconductor devices with emerging technology with nano and novel

semiconducting materials.

CO4: Able to develop insight on future development

of electronic devices and applications.

Course Outcome (CO)

EC802A: Advanced Semiconductor

Devices

95



CO1: Able to distinguish Measurement Techniques

for Conducted Interference and the effect of power supply components on Conducted Emissions.

CO2: Able to design electronic systems that function

without errors or problems related to electromagnetic compatibility.

CO3: Able to describe the Grounding, Cabling, Shielding, Bonding mechanisms for EMC.

CO4: Able to design & analyze the EMI filters and

components for EMI/EMC standards.

CO5: Able to diagnose and solve basic electromagnetic compatibility problems.

Course Outcome (CO)

EC802B: EMI/EMC

96



CO1: Able to identify the most important

components and functions of a mobile communication systems in physical, link and network layer.

CO2: Able to explain & compare the differences in

characteristics between different types of mobile communication systems and areas of applications for different mobile

communication systems.

CO3: Able to define & calculate the trade-offs & key performance metrics between different mobile

communication technologies & Systems.

CO4: Able to apply previous knowledge from

statistics, modelling, programming and data/telecommunications in the area of mobile

communications.

CO5: Able to independently plan, perform and document a research oriented project in the area of mobile communications.

Course Outcome (CO)

EC802C: Mobile Communication &

Network

97



CO1: Able to illustrate different phases of developing

high end software in an industry.

CO2: Able to recognize different techniques of software testing, reusability of software and software maintenance.

CO3: Able to identify different challenges in

maintaining or updating old software.

CO4: Able to justify the strategies for testing, reusability etc. to reduce cost of development and / or maintenance.

CO5: Able to demonstrate the role and

responsibilities of software engineers in various phases of software development.

Course Outcome (CO)

EC803A: Software Engineering

98



CO1: Able to Identify the significance of formal

verification and testable design

CO2: Able to Understand the concept of yield and identify the parameters influencing the same

CO3: Able to identify the techniques to improve fabrication defects, errors & fault coverage.

CO4: Able to Implement combinational and

sequential circuit test generation algorithms.

CO5: Able to implement simulation based

verification.

Course Outcome (CO)

EC803B: Physical Design, Verification &

Testing

99



CO1: Able to explain the fuzzy sets, fuzzy logic

systems and its various applications in real life problem solving.

CO2: Able to illustrate the concept of Artificial Neural Network and its applications

CO3: Able to discuss on the concept of Genetic

Algorithm and its various applications.

CO4: Able to elaborate the basics of Simulated Annealing, Tabu search, Ant colony optimization (ACO), Particle Swarm

Optimization (PSO).

Course Outcome (CO)

EC803C: Soft Computing

100



CO1: Analyse and interpret data in communication

engineering using optical fibre communication technology.

CO2: Able to design the different multiplexing schemes in satellite communication scenario.

CO3: Able to Design the wireless & satellite

communication system using ISDN, GSM, GPRS and MPLS system.

CO4: Able to exhibit the professional knowledge and accept ethical responsibilities to solve the

problems of industry and society.

EC891: Advanced Communication

Laboratory

Course Outcome (CO)

101



CO1: Able to get an opportunity to apply knowledge

of several courses in developing a new algorithm or circuit or a larger system.

CO2: Able to implement innovative ideas and publish them as a research paper or file a

patent.

CO3: Able to learn working as a team.

CO4: Able to understand, formulate and analyze the

problem resulting into a novel solution.

CO5: Able to gain practical knowledge about the topic including social, commercial,

manufacturing, testing, measurements, simulation, marketing and legal issues (as applicable).

Course Outcome (CO)

EC881: Project II

102



CO1: Able to evaluate overall technical knowledge

and industry readiness.

CO2: Able to go under a virtual environment of technical interview.

CO3: Able to analyze various application of Electronics & Communication Engineering in

real life problem solving.

Course Outcome (CO)

EC882: Grand Viva

103

Narula Institute of Technology

81, Nilgunj Road

Agarpara, Kolkata-109

Ph: +91 33 2563 8888/7777

Website: www.nit.ac.in

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