The Department offers B.Tech in Electrical and Electronics Engineering with intake of 116 students. The curriculum covers both breadth and depth of electrical and electronics domain. The students will undergo set of core courses to strengthen the fundamentals. The wide variety of electives enable students to specialise in their desired areas. 


UG with minor

UG with honor

B Tech course list with course outcomes (2022)

Programme Educational Objectives:
PEO-1: To train students into professional who can hold appropriate positions in the area of  (i) Electrical Power (ii) Generation of electrical power by conventional and new energy resources for bulk use (iii) Power conditioning (iv) Utilization of power: Efficiency, Reliability, Conservation, Availability, Quality.(v) Transmission, Distribution and control (vi) Protection and safety (vii) Costing and audit (viii) System analysis (ix) Power electronics and controls (x) Data processing and computing.
PEO-2: To train students for Engineering professions in various fields which include (i) Operation (ii) Maintenance (iii) Research and innovation (iv) Design (v) Manufacturing (vi) Services (vii) Testing (viii) Installation (ix) Planning (x) Academics (xi) Interdisciplinary (xii) Defence (xiii) Management (xiv) Entrepreneurship and to pursue higher studies in Core-Technical, Management, Software.
PEO-3: To develop students with good human values and professional ethics to serve society through their core expertise. 
PEO-4: To develop abilities for lifelong learning in the core area through fundamental domain knowledge and analytical skills.

Programme Outcome:

PO-1Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals,and an engineering specialization to the solution of complex engineering problems.

PO-2Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO-3Design/development of solutions: Design solutions for complex engineering problems and designsystem components or processes that meet the specified needs with appropriate consideration for thepublic health and safety, and the cultural, societal, and environmental considerations.

PO-4Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of theinformation to provide valid conclusions.

PO-5Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with anunderstanding of the limitations.

PO-6: 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 professionalengineering practice.

PO-7Environment and sustainability: Understand the impact of the professional engineering solutions insocietal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO-8Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO-9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO-10Communication: 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.

PO-11: Project management and finance: Demonstrate knowledge and understanding of the engineeringand 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.

PO-12Life-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.


The Department offers M. Tech in Power and Energy Systems with intake of 33 students. The curriculum is designed to cater to the needs of industries and utilities in power and energy systems. The equipments and softwares housed in the department will help the student to acquire necessary engineering skills.


M.Tech course list with course outcomes (2022)

Programme Educational Objectives:

The program educational objectives (PEOs) can be broadly grouped in to three main heads with students being trained as the main stake holders of the program.

PEO-­1To train the students to have successful career in industry, consulting firms, academia, research and pursue higher education in power and energy systems.

PEO-­2To develop the student-competency in the areas of Power Systems, Control Systems, Power Electronics and drives, New and renewable energy systems with associated computational skills.

PEO­-3 To inculcate research and developmental capabilities involving technical documentation, professional ethics, lifelong learning for a successful professional career.

Expected Program Outcome:

PO­-1.  An ability to independently carry out research/investigation and development work to solve practical problems.

PO-­2.  An ability to write and present a substantial technical report/document.

PO-­3. Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.

PO-­4. To give basic understanding of economical, social, legal and safety issues associated with power and energy systems.

PO­-5. To impart knowledge related to renewable energy sources and energy conversion issues, pointing towards sustainable development, in the power and energy discipline.

PO-­6. Skill development and knowledge in the area of core engineering activates (Power and Energy Systems) specific to the program.

The Department offers Doctoral Programme to carry out research activities in various specializations of electrical engineering. It has produced over 60 Ph. Ds and around 77 research scholars are currently carrying out research work in the following areas of interest:

Power Electronics and Drives

  • Smart grid Operation and Control.

  • Kite-based Airborne Wind Energy Conversion System.

  • Wireless EV charging and resonant converters.

  • Power electronic applications in Electric Vehicles.

  • Solar Power Forecasting using Machine Learning Techniques.

  • Battery Management System.

  • Design and developement of multilevel inverters.

  • Impedance source inverters/ Semi Z source inverters for PV applications.

  • Energy Management of Hybrid Electric Vehicles.

  • Half‐resonance and multi‐level power conversion

  • Transportation electrification and charging infrastructure

  • Wireless power transfer: inductive and capacitive coupling

Power & Energy Systems

  • Power System Analysis with HVDC Links and Renewable Energy Sources.

  • Probabilistic Steady-State Analsysis of Power Systems Integrated with Renewable Generations.

  • Structured dc/ac or hybrid microgrids

  • Generation planning and control

  • Power system analysis, economics, operation and stability

  • Deregulated power systems

  • Smart Grid Operation, Control and Technologies

  • Electric Power Generation Sources

  • Integration of New and Renewable Energy Sources into Existing Power Systems

  • New Technologies and Techniques for Power Transmission, Distribution, Protection, Control and Measurement

  • Metering Technologies

  • Power system stability

  • Demand-Side Management

  • Application of AI/ML Techniques

  • Industrial Electric Power Distribution and Utilization Systems

Control Systems and Signal Processing

  • Pattern Recognition of Electromyography (EMG) Signals.

  • Real-Time Hardware in Loop with controller validation using (Microcontroller/FPGA).

  • Application of Artificial Intelligence, Neural Networks in Biomedical Applications.