School of Electrical & Electronics Engineering

Programmes

Wireless and Smart Communication

Program Outcomes (POs):

  1. Scholarship of Knowledge: Acquire in-depth knowledge of specific discipline or professional area, including wider and global perspective, with an ability to discriminate, evaluate, analyse and synthesise existing and new knowledge, and integration of the same for enhancement of knowledge.
  2. Critical Thinking: Analyse complex engineering problems critically, apply independent judgement for synthesising information to make intellectual and/or creative advances for conducting research in a wider theoretical, practical and policy context.
  3. Problem Solving: Think laterally and originally, conceptualise and solve engineering problems, evaluate a wide range of potential solutions for those problems and arrive at feasible, optimal solutions after considering public health and safety, cultural, societal and environmental factors in the core areas of expertise.
  4. Research Skill: Extract information pertinent to unfamiliar problems through literature survey and experiments, apply appropriate research methodologies, techniques and tools, design, conduct experiments, analyse and interpret data, demonstrate higher order skill and view things in a broader perspective, contribute individually/in group(s) to the development of scientific/technological knowledge in one or more domains of engineering.
  5. Usage of modern tools: Create, select, learn and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities with an understanding of the limitations.
  6. Collaborative and Multidisciplinary work:Possess knowledge and understanding of group dynamics, recognise opportunities and contribute positively to collaborative-multidisciplinary scientific research, demonstrate a capacity for self-management and teamwork, decision-making based on open-mindedness, objectivity and rational analysis in order to achieve common goals and further the learning of themselves as well as others.
  7. Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply the same to one’s own work, as a member and leader in a team, manage projects efficiently in respective disciplines and multidisciplinary environments after consideration of economical and financial factors.
  8. Communication: Communicate with the engineering community, and with society at large, regarding complex engineering activities confidently and effectively, such as, being able to comprehend and write effective reports and design documentation by adhering to appropriate standards, make effective presentations, and give and receive clear instructions.
  9. Life-long Learning: Recognise the need for, and have the preparation and ability to engage in life-long learning independently, with a high level of enthusiasm and commitment to improve knowledge and competence continuously.
  10. Ethical Practices and Social Responsibility: Acquire professional and intellectual integrity, professional code of conduct, ethics of research and scholarship, consideration of the impact of research outcomes on professional practices and an understanding of responsibility to contribute to the community for sustainable development of society.
  11. Independent and Reflective Learning: Observe and examine critically the outcomes of one’s actions and make corrective measures subsequently, and learn from mistakes without depending on external feedback.

Program Specific Outcome (PSO):

  • Model and simulate wireless systems through the application of mathematics, engineering concepts & adaptive algorithms
  • Apply Machine learning and Deep learning concepts to adaptive, interoperable wireless communication systems
  • Design, implement and evaluate signal processing algorithms in software and hardware environments
  • Enable the learners to design, simulate, implement and test individually the different blocks of the wireless communication system and integrate them to provide a complete solution, satisfying the budget, environmental, ethical, safety, manufacturability and sustainability constraints
  • Identify, formulate and apply advanced communication methods to solve critical design issues using high-end RF and electromagnetic simulation tools
  • Analyze & justify the effectiveness of the chosen methodology and effectively communicate the aspects of system

 

Scheme of Study

(Students admitted from 2020–21)

I Semester (22 Credits)

Course Code Course Name No of Contact Hours / Week Credits
L T P
MAT535 Applied Mathematics 4 0 0 4
INT530 Artificial Intelligence & Reasoning 3 0 2 4
ECE502R01 Microwave Communication Systems 4 0 0 4
ECE503 Advanced Digital Signal Processing 4 0 0 4
ECE602R01 Wireless Communication Systems 4 0 0 4
ECE505 Signal Processing Laboratory 0 0 2 1
TNP101 Soft Skills – I 0 0 2 1
TOTAL 19 0 6 22

IISemester (27 Credits)

Course Code Course Name No of Contact Hours / Week Credits
L T P
ECE620 Smart Antennas 4 0 0 4
ECE508R01 Application Level Information Security 4 0 0 4
INT534 Machine Learning 4 0 2 5
ECEXXX Elective – I 3 0 0 3
ECEXXX Elective – II 3 0 0 3
MAN106 Research Methodology & IPR 2 0 0 2
OEXXXX Open Elective – I 3 0 0 3
ECE507 RF Communication Laboratory 0 0 2 1
TNP102 Soft Skills – II 0 0 2 1
ECE398 Seminar 0 0 2 1
TOTAL 23 0 8 27

 

Course Code Course Name No of Contact Hours / Week Total No. of credits
L T P
ECE598 Summer Project - - 6 3
TOTAL - - 6 3

IIISemester (23 Credits)

Course Code Course Name No of Contact Hours / Week Credits
L T P
ECE517 IoT Technology & its Applications 4 0 0 4
CSE423 Deep Learning 4 0 0 4
ECEXXX Elective – III 3 0 0 3
ECEXXX Elective – IV 3 0 0 3
OEXXXX Open Elective – II 3 0 0 3
MAN107 Digital Pedagogy & Collaborative Learning 2 0 0 2
ECE604R01 Advanced Digital Communication Laboratory 0 0 2 1
ECE599 Project Phase – I 0 0 6 3
TOTAL 19 0 8 23

IV Semester (15 Credits)

Course Code Course Name No of Contact Hours / Week Credits
L T P
ECE600 Project Work & Viva Voce 0 0 30 15
TOTAL 0 0 30 15

List of Electives – Proposed – (Any four to be selected)

Course Code Course Name
ECE521 3D Computer Vision
ECE506R01 Optical Communication Systems
ECE603R01 Communication Systems Modelling & Simulation
ECE607R01 Software Defined Radio & its Applications
ECE608R01 Network Routing Algorithms
ECE610R01 Speech & Audio Processing
ECE611R01 Mobile Ad hoc Networks
ECE612R01 RF MEMS for Wireless Communication
ECE613R01 Broadband Networks
ECE614R01 Long Term Evolution Design
ECE617R01 Error Control Coding
ECE618R01 EMI & Compatibility in System Design
ECE619R01 RF System Design
ECE522 Signal Processing for Mobile Communication
List of Open Electives
Course Name
Indian Constitution
Business Analytics
Industrial Safety
Operations Research
Cost Management of Engineering Projects
Composite Materials
Waste to Energy
Indian Heritage
Engineering Economics

Product Design and Development (XXXXXX)