B.Tech in Computer and Communication Engineering

Programme Options

From Second Year you can choose either of Minor / Honours programmes as additional 20 credits.

Honours

Networking / Cyber Security & Forensics / Data Science & Analytics / Software Project Management

Minor

Augmented & Virtual Reality / Electric Vehicle / Information Processing & Intelligent Systems / Cyber Security / Robotics & AI / Mechatronics / Industrial Engineering & Management / Entrepreneurship / Power Electronics & Industrial Drives / VLSI Design / IoT & Real Time Embedded Systems /Sound Engineering / Maker Technology / Robotics & Automation / Drone Technology

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Academic Flexibility / Major, Minor & Graduate Fields

Pedagogy

In addition to regular classroom teaching for the Computer & Communication Engineering programme, learning projects, seminars, case studies, industrial visits, internships & online learning is encouraged inculcating a culture of continuous learning. Mini projects are offered to encourage project based learning amongst students. The projects are assigned as per students’ choice mapped with knowledge/thrust areas of Computer & Communication Engineering programme.

Faculty members use various active learning strategies & ICT tools like think pair share, flipped classroom, virtual laboratories, presentations, group discussions, debates, crossword puzzles, Google classroom, learning management system etc. for teaching & continuous evaluation of students. Theory courses along with hands on experience in hardware & computing laboratories make the students competent to handle real world problems for the betterment of the society. The program intends to provide an unmatched education towards a truly global engineering career.

Differentiators

Focus on experiential learning

Hands-on learning through internships and experiments helps students to develop knowledge, skills, and values from direct experiences beyond traditional academic course.
Industry mapped curriculum

Curriculum mapped to address current challenges with industry, designed through academia, industry and students participation. Various departmental and open elective courses add value to technical education with interdisciplinary skills.
Project-based learning

A well designed program that includes mini projects, projects and semester long internships to shape professionals to handle real life problems.
Wider spectrum of career opportunities

Focused curriculum with a rigor towards hands-on experience and industry exposure opens ample of opportunities for placements and higher studies in data science, AI, communication technologies, networking and network security, Embedded systems and IoT, etc.
Laboratories Infrastructure

Industry graded laboratories like CISCO centre of Excellence, Texas innovation centre, high end hardware and computing facilities in RF, Signal Processing, and Communication etc. to provide quality hands-on expertise to students.
Holistic development of students

Curriculum is designed to develop technical and interpersonal skills offering wide choice for every learner. The Campus provides multicultural and vibrant life with numerous technical and cultural events that inculcates an overall development of students. Well established and profoundly active professional student bodies of the department helps student to build technical, leadership and entrepreneurship skills.

Curriculum

Semester I	Semester II
Course Group C	Course Group C
Theory courses	Theory courses
Applied Mathematics - I	Applied Mathematics - II
Engineering Chemistry	Engineering Physics
Engineering Drawing	Engineering Mechanics
Elements of Electrical and Electronics Engineering
Lab/Tutorial courses	Lab/Tutorial courses
Python Programming	Programming in C
Engineering Chemistry Laboratory	Engineering Physics Laboratory
Elements of Electrical & Electronics Engineering Laboratory	Engineering Mechanics Laboratory
Project-Based Learning	Project-Based Learning
Basic Workshop Practice - I	Presentation & Communication Skills
Engineering Drawing Laboratory	Basic Workshop Practice - II
Exposure Course*	Exposure Course*
Course Group P	Course Group P
Theory courses	Theory courses
Applied Mathematics - I	Applied Mathematics - II
Engineering Physics	Engineering Chemistry
Engineering Mechanics	Engineering Drawing
	Elements of Electrical & Electronics Engineering
Lab/Tutorial courses	Lab/Tutorial courses
Python Programming	Programming in C
Engineering Physics Laboratory	Engineering Chemistry Laboratory
Engineering Mechanics Laboratory	Engineering Drawing Laboratory
Project-Based Learning	Elements of Electrical & Electronics Engineering Laboratory
Presentation & Communication Skills	Project-Based Learning
Basic Workshop Practice - I	Basic Workshop Practice - II
Exposure Course*	Exposure Course*

Note- Students will be assigned either course group C or P in semester I irrespective of their branch of study. Accordingly, they will have the other course group (P or C) in semester II

*mandatory non-credit course to be selected from a variety of courses from sports (indoor and outdoor), music, dance, creative art, culture, religion, yoga, broadcasting, film-making etc.

Semester III	Semester IV
Discrete Mathematics & Graph Theory	Principles of Data science
Data Structures	RF Fundamentals and Applications
Digital Systems & Computer Organization	Operating Systems
Electronic Circuits & Applications	Design & Analysis of Algorithms
Data Structures Laboratory	Open Elective Generic
Digital Systems Laboratory	Principles of Data science Laboratory
Web programming Laboratory	RF Fundamentals and Applications Laboratory
Electronic Circuits & Applications Laboratory	Design and Analysis of Algorithms Laboratory
Microcontrollers & Interfacing Laboratory	Object Oriented Programming Laboratory

Semester V	Semester VI
Database Management Systems	Wireless Communication
Artificial Intelligence and Machine Learning	Computer and Communication Networks
Analog and Digital Communication	Software Engineering
Digital Signal and Image Processing	OEHM 2 (/NPTEL/SWAYAM /Coursera)
Theory of Automata	Wireless Communication and Mobile Application Development Laboratory
OEHM 1 (/NPTEL/SWAYAM/Coursera)	Computer and Communication Networks Laboratory
Database Management Systems Laboratory	Software Engineering Laboratory
Artificial Intelligence and Machine Learning Laboratory	Departmental Elective-I Laboratory
Analog and Digital Communication Laboratory	Departmental Elective-I
Digital Signal and Image Processing Laboratory	Computer Graphics
Mini Project	Deep Learning
	Data Mining and Warehousing
	Parallel Computing
	Advanced Databases
	Wireless sensor networks
	Project-I

Semester VII	Semester VIII
Project – II * ( *- sem long internship)	Project -III * (*- Sem long internship)
Cyber Security and Forensic
Cyber Security and Forensic Laboratory	Departmental Elective - IV /Online course *
Department Elective – II	Optical Fiber Communication
Computer Vision	Business Analytics
Reinforcement Learning	Internet & Voice communication
Cryptography & Network Security	UI Programming
Compiler Design	Introduction to Cyber Physical Systems and Embedded AI
Real Time Operating System	High Performance Computing
	Departmental Elective – V
Department Elective – III	Error Control Coding and Information Theory
Microwave Engineering	Augmented Reality & Virtual Reality
Big Data Analysis	Data Networking-II
Data Networking-I	Blockchain Technology
Cloud Computing and Virtualization	Human Computer Interaction
Natural Language Processing
Internet of Things
Open Elective Technical-III/Certification Courses
Open Elective Management
Departmental Elective–II Laboratory
Departmental Elective-III Laboratory

Programme Outcomes

After successful completion of the program an Electronics and Telecommunication Engineering Graduate will be able to:

1. Engineering Knowledge

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

2. 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.

3. 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.

4. 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.

5. 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.

6. The Engineer and Society

Apply reasoning informed by the contextual knowledge to assess societal, cultural, environmental, health, safety and legal issues relevant to the professional engineering practice; understanding the need of sustainable development

7. Multidisciplinary Competence

Recognize/ study/ analyze/ provide solutions to real-life problems of multidisciplinary nature from diverse fields

8. Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

9. Individual and Team Work

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

10. 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.

11. 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.

12. 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

Career Paths

Public Sector Companies
Research and Design Engineer
Researcher & Academician
Data Scientist
Administrative Services (IAS, IES)
Automation Engineer
Control and Instrumentation Engineer
Electric Vehicle Engineer (to be removed)
Design Engineer
Electronics Engineer
IT Consultant
Network Engineer
System Analyst
Machine learning Engineer
IOT and Electronics Engineer
Computer Programmer
IT Consultant
Software Designer
Scientific Researcher
Database Administrator
Software Testing Engineer
Games Developer
Mobile Application Developer
Web Application Developer
UI/UX Designer
Network Administrator
Business Analyst
System Administrator
Cyber Security Analyst
Forensic Computer Analyst
IT Manager
SEO Expert

Programme Specific Outcomes

After successful completion of the B Tech in Computer and Communication Engineering degree the graduates will be able to

PSO1:

Design , Analyze and Develop intelligent systems using concepts of hardware , modern computing and management skills

PSO2:

Able to be a technically competent professional, researcher, entrepreneur and have a zest for higher studies in computer and communication fields