Comprehensive Course Listing Across All 8 Semesters
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | English Communication | 3-0-0-3 | - |
| 1 | MAT101 | Mathematics I | 4-0-0-4 | - |
| 1 | MAT102 | Mathematics II | 4-0-0-4 | MAT101 |
| 1 | PHY101 | Physics for Engineers | 3-0-0-3 | - |
| 1 | CHM101 | Chemistry for Engineers | 3-0-0-3 | - |
| 1 | ECO101 | Engineering Economics | 2-0-0-2 | - |
| 1 | CSE101 | Programming in C | 3-0-3-4 | - |
| 1 | ELE101 | Introduction to Electrical Engineering | 2-0-0-2 | - |
| 1 | ENG102 | Engineering Drawing & Computer Graphics | 2-0-3-3 | - |
| 2 | MAT201 | Mathematics III | 4-0-0-4 | MAT102 |
| 2 | CSE201 | Data Structures and Algorithms | 3-0-3-4 | CSE101 |
| 2 | ELE201 | Basic Electrical Circuits and Networks | 3-0-0-3 | ELE101 |
| 2 | ELE202 | Electromagnetic Fields and Waves | 3-0-0-3 | MAT201 |
| 2 | ELE203 | Digital Logic Design | 3-0-0-3 | ELE101 |
| 2 | ELE204 | Signals and Systems | 3-0-0-3 | MAT201 |
| 2 | ELE205 | Electrical Machines I | 3-0-0-3 | ELE201 |
| 2 | ELE206 | Laboratory Work I (Circuits & Electronics) | 0-0-3-1 | ELE201, ELE203 |
| 3 | MAT301 | Mathematics IV | 4-0-0-4 | MAT201 |
| 3 | ELE301 | Electrical Machines II | 3-0-0-3 | ELE205 |
| 3 | ELE302 | Power Systems Analysis | 3-0-0-3 | ELE201 |
| 3 | ELE303 | Control Systems | 3-0-0-3 | ELE204 |
| 3 | ELE304 | Analog Electronics | 3-0-0-3 | ELE203 |
| 3 | ELE305 | Microprocessors and Microcontrollers | 3-0-0-3 | ELE203 |
| 3 | ELE306 | Laboratory Work II (Electrical Machines & Control) | 0-0-3-1 | ELE301, ELE303 |
| 4 | ELE401 | Power Electronics | 3-0-0-3 | ELE304 |
| 4 | ELE402 | Digital Communication Systems | 3-0-0-3 | ELE204 |
| 4 | ELE403 | Electromagnetic Compatibility | 3-0-0-3 | ELE202 |
| 4 | ELE404 | Embedded Systems | 3-0-0-3 | ELE305 |
| 4 | ELE405 | Digital Signal Processing | 3-0-0-3 | ELE204 |
| 4 | ELE406 | Laboratory Work III (Power Electronics & Embedded) | 0-0-3-1 | ELE401, ELE404 |
| 5 | ELE501 | Renewable Energy Systems | 3-0-0-3 | ELE302 |
| 5 | ELE502 | Smart Grid Technologies | 3-0-0-3 | ELE302 |
| 5 | ELE503 | Artificial Intelligence & Machine Learning | 3-0-0-3 | MAT301 |
| 5 | ELE504 | VLSI Design | 3-0-0-3 | ELE304 |
| 5 | ELE505 | Advanced Control Systems | 3-0-0-3 | ELE303 |
| 5 | ELE506 | Laboratory Work IV (Advanced Topics) | 0-0-3-1 | ELE401, ELE503 |
| 6 | ELE601 | Mini Project I | 0-0-6-3 | - |
| 6 | ELE602 | Industrial Training | 0-0-0-2 | - |
| 6 | ELE603 | Power System Protection | 3-0-0-3 | ELE302 |
| 6 | ELE604 | Power Quality and Harmonics | 3-0-0-3 | ELE201 |
| 6 | ELE605 | Industrial Automation | 3-0-0-3 | ELE303 |
| 6 | ELE606 | Laboratory Work V (Specialized Areas) | 0-0-3-1 | ELE503, ELE603 |
| 7 | ELE701 | Mini Project II | 0-0-6-3 | ELE601 |
| 7 | ELE702 | Research Methodology | 2-0-0-2 | - |
| 7 | ELE703 | Advanced Topics in Electrical Engineering | 3-0-0-3 | - |
| 7 | ELE704 | Final Year Project / Thesis | 0-0-12-6 | - |
| 7 | ELE705 | Professional Ethics & Communication | 2-0-0-2 | - |
| 7 | ELE706 | Laboratory Work VI (Final Project) | 0-0-3-1 | ELE704 |
| 8 | ELE801 | Final Year Project / Thesis (Continued) | 0-0-12-6 | ELE704 |
| 8 | ELE802 | Internship / Industry Exposure | 0-0-0-3 | - |
| 8 | ELE803 | Comprehensive Examination | 0-0-0-2 | - |
Detailed Descriptions of Advanced Departmental Electives
The advanced departmental elective courses offered in the Electrical Engineering program at NAGAJI INSTITUTE OF TECHNOLOGY AND MANAGEMENT GWALIOR are designed to provide students with deep technical knowledge and specialized skills relevant to emerging industries.
Power Systems and Energy Management
This course explores the planning, operation, and control of modern power systems. It covers topics such as load flow analysis, stability studies, economic dispatch, and smart grid technologies. Students gain hands-on experience with simulation tools like MATLAB/Simulink and PSCAD/EMTDC.
Control Systems
This elective delves into the principles of feedback control systems, including mathematical modeling, transfer functions, time response analysis, frequency domain analysis, root locus techniques, and PID controller design. The course emphasizes practical implementation through laboratory experiments and MATLAB simulations.
Digital Signal Processing
Students learn about discrete-time signals and systems, Z-transforms, FFT algorithms, filter design methods, and digital filter realization structures. Practical applications include audio processing, biomedical signal analysis, and image enhancement using DSP techniques.
Electromagnetic Compatibility
This course addresses the challenges of electromagnetic interference (EMI) in electronic systems. Topics include EMI propagation mechanisms, shielding, grounding, filtering, and compliance standards. Students work on real-world case studies involving automotive electronics and communication devices.
Embedded Systems
The focus is on designing embedded applications using microcontrollers and real-time operating systems (RTOS). Students develop projects involving sensor integration, wireless communication protocols, and embedded software development for IoT devices.
Power Electronics
This course covers the analysis and design of power electronic converters, inverters, rectifiers, and motor drives. Emphasis is placed on switching losses, thermal management, and efficiency optimization using modern semiconductor devices like IGBTs and MOSFETs.
Renewable Energy Technologies
Students explore the fundamentals of solar photovoltaics, wind energy conversion systems, hydroelectric power generation, and biomass utilization. The course includes laboratory sessions on solar panel testing, wind turbine modeling, and energy storage integration strategies.
VLSI Design
This elective introduces students to Very Large Scale Integration (VLSI) circuit design using CAD tools such as Cadence and Synopsys. Topics include CMOS technology, layout design, timing analysis, and testability features for integrated circuits.
Artificial Intelligence & Machine Learning
This course covers foundational concepts in machine learning, neural networks, deep learning frameworks (TensorFlow, PyTorch), reinforcement learning, and natural language processing. Practical projects involve building AI models for predictive analytics and intelligent control systems.
Digital Communication Systems
Students study modulation techniques, channel coding, error detection and correction, multiplexing schemes, and wireless communication standards (WiFi, Bluetooth, LTE). Laboratory exercises focus on implementing communication protocols using software-defined radios (SDRs).
Project-Based Learning Philosophy at NAGAJI INSTITUTE OF TECHNOLOGY AND MANAGEMENT GWALIOR
The Electrical Engineering program places a strong emphasis on project-based learning as an integral part of the curriculum. This approach ensures that students not only grasp theoretical concepts but also apply them to solve real-world engineering problems.
Mini Projects
Mini projects are conducted in the third and sixth semesters. These projects span approximately 12 weeks and require students to work in teams of 3-5 members. Each team selects a relevant problem statement from a list provided by faculty mentors or proposes their own idea after consultation with supervisors.
Projects typically involve designing, building, and testing a prototype solution that addresses a specific challenge in the field of electrical engineering. Examples include developing an autonomous robot, designing a solar-powered charging station, or creating an energy-efficient lighting system.
Evaluation criteria include project documentation, presentation quality, innovation, technical execution, and teamwork effectiveness. Faculty members guide students throughout the process, offering feedback and suggesting improvements based on industry best practices.
Final Year Thesis/Capstone Project
The final year project or thesis is a major component of the program, carried out over two semesters (seventh and eighth). Students choose a research topic aligned with their interests or propose one that addresses current industry challenges. They are assigned a faculty mentor who provides continuous guidance throughout the project lifecycle.
The project must demonstrate originality, depth of analysis, and practical applicability. Students are expected to submit a comprehensive report detailing methodology, results, and conclusions. A public defense session is held where students present their work to a panel of experts from academia and industry.
Successful completion of the capstone project earns students recognition through awards, certificates, and potential publication opportunities in journals or conferences. Some projects are also patented or commercialized by startups incubated within the institute.