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B.TECH – COMMUNICATION & COMPUTER ENGINEERING (CCE) at NU

B.Tech – Communication & Computer Engineering (CCE)

The B.Tech in Communication & Computer Engineering (CCE) aims to address current and future needs of the industry which is witnessing rapid convergence in telecommunications and information systems due to Digital Transformation and Industry 4.0. Industry 4.0 has ushered in Internet of Things (IOT) based on wireless sensor network technologies that will communicate and co-exist with wireless broadband networks both fixed and mobile.

Industries now require a new breed of engineers with the requisite knowledge and skills in both telecommunications and computer engineering – the Communication and Computer Engineer. The goal of the programme is to create a new class of engineers with technical knowledge in Digital Control, Digital Signal Processing, System on Chip, Communication Protocols, Internet of Things (IOT), Sensor Networks, ADC/DAC, Micro-controller, Broadband and Wireless Communication Architecture as well as in Cloud and Edge Computing, Information Encryption and Decryption, Data Science, AI & Machine Intelligence. As a CCE Engineer, you will plan, design, implement, deploy and maintain reliable & secure networked information systems using the latest generations of integrated communications & network technologies for complex business environments of the 21st century.

Specialisations

  • Wireless and Broadband Communication Technologies
  • Robotics and IOT
  • Data Science
  • Cyber Security
  • Artificial Intelligence
  • Cloud Computing

Innovative & Distinguishing Features of the B.Tech in Communication & Computer Engineering (CCE) programme

  • The program design philosophy is based on Industry-linked Project Based Learning. Students, in teams, execute projects that are of direct value to the industry as part of their courses from the first year itself.  Later they move on to execute large projects and finally work in an organization for full 6 months on live projects.  <provide link to academics page>
  • State of the art labs for every course including digital system design, microprocessor & microcontroller, IOT & sensor networks, testing, design & testing software, etc.
  • Industry collaboration with relevant companies such as Reliance Jio, Airtel, Vodafone, Ericson, CISCO, Alcatel, etc. for student projects
  • Faculty-guided R&D Project linked to area of interest with the possibility of joint research paper publication
  • Live Industry projects executed through Capstone Project course
  • 6-month Industry Practice in the 8th semester mentored by Industry leads and NU faculty to gain Industry-readiness. 
  • Well qualified faculty with both academic and industry experience & pursuing their own research

Programme Outline

Semesters

8 (4 Years)

Total Credits:

178

CCE Core Courses

52 credits

CCE Electives

20 credits

Industry Practice

20 credits

R&D Project

4 credits

Breakup of a Typical Course

Lectures

61%

Tutorials

4%

Practicals

35%



List of Professional Core Courses in CCE

  • Digital Logic and Circuit
  • Analog Electronics
  • Signal & System
  • Electromagnetic Theory
  • Digital Signal Processing
  • Analog and Digital Communications
  • Integrated Electronics
  • Communication Network
  • Antenna and Microwave Propagation
  • Microprocessor & Microcontroller
  • Fiber-Optic and Satellite Communications Systems
  • Control Theory
  • Coding and Information Theory
  • Digital and Distributed Control Theory

List of Professional Elective Courses in CCE

  • Advanced Embedded Systems
  • Advanced Digital Signal Processing
  • Digital Image Processing
  • Wireless Broadband Communications
  • Optical Networks
  • Non-Linear Optical Communication
  • Satellite Communications
  • Advanced VLSI
  • Internet of Things
  • Computer Vision
  • Power Electronics
  • Radar Engineering
  • Cellular and Mobile Communications
  • Advanced Wireless Broadband Communications
  • Artificial Intelligence
  • Artificial Neural Network
  • Introduction to Soft Computing
  • Introduction to Internet-Of-Things
  • Statistical Modeling for Data Science
  • Advanced Communication Networks
  • High Performance Computing
  • Introduction to Linear and Nonlinear Optimisation
  • Wireless Sensor Networks and Applications
  • Computer Vision
  • Mobile Platform Programming
  • Web Intelligence and Algorithms
  • Machine Learning
  • Computational Geometry and Applications
  • Cyber Security
  • Game Theory
  • Data Mining
  • Introduction to Information Security
  • Modeling and Simulation
  • Information Retrieval
  • Natural Language Processing

List of Open Elective Courses in CCE

  • Artificial Intelligence
  • Artificial Neural Networks
  • Statistical Modeling for Data Science
  • Wireless Sensor Networks and Applications
  • Machine Learning
  • Computational Geometry and Applications
  • Cyber Security
  • Data Mining
  • Introduction to Information Security
  • Natural Language Processing


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