Curriculum Overview
The Bachelor of Electrical Engineering program at Gyan Ganga Institute of Technology and Sciences follows a comprehensive curriculum designed to provide students with both foundational knowledge and advanced skills necessary for success in the field. The program spans eight semesters, integrating core engineering subjects, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Full Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | PHYS101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | MATH101 | Calculus and Analytical Geometry | 4-0-0-4 | - |
| 1 | CHEM101 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | COMP101 | Introduction to Programming | 2-0-2-3 | - |
| 1 | ENGR101 | Engineering Drawing and Graphics | 1-0-3-3 | - |
| 1 | ELEC101 | Basic Electrical Engineering | 3-1-0-4 | - |
| 2 | MATH201 | Differential Equations and Vector Calculus | 4-0-0-4 | MATH101 |
| 2 | PHYS201 | Modern Physics | 3-1-0-4 | PHYS101 |
| 2 | ELEC201 | Circuit Analysis | 3-1-0-4 | ELEC101 |
| 2 | ELEC202 | Electromagnetic Fields and Waves | 3-1-0-4 | MATH201, PHYS201 |
| 2 | ELEC203 | Signals and Systems | 3-1-0-4 | MATH201 |
| 2 | ELEC204 | Electronics Devices and Circuits | 3-1-0-4 | ELEC101 |
| 3 | ELEC301 | Network Analysis and Synthesis | 3-1-0-4 | ELEC201 |
| 3 | ELEC302 | Electrical Machines | 3-1-0-4 | ELEC201, ELEC202 |
| 3 | ELEC303 | Power Electronics | 3-1-0-4 | ELEC204 |
| 3 | ELEC304 | Control Systems | 3-1-0-4 | ELEC203 |
| 3 | ELEC305 | Digital Electronics | 3-1-0-4 | ELEC204 |
| 4 | ELEC401 | Power System Analysis | 3-1-0-4 | ELEC302, ELEC301 |
| 4 | ELEC402 | Communication Systems | 3-1-0-4 | ELEC203 |
| 4 | ELEC403 | Microprocessor and Microcontroller | 3-1-0-4 | ELEC305 |
| 4 | ELEC404 | Digital Signal Processing | 3-1-0-4 | ELEC203 |
| 4 | ELEC405 | Electrical Safety and Environment | 3-1-0-4 | ELEC201, ELEC301 |
| 5 | ELEC501 | Renewable Energy Systems | 3-1-0-4 | ELEC401, ELEC302 |
| 5 | ELEC502 | Embedded Systems Design | 3-1-0-4 | ELEC403, ELEC305 |
| 5 | ELEC503 | VLSI Design | 3-1-0-4 | ELEC305 |
| 5 | ELEC504 | Smart Grid Technologies | 3-1-0-4 | ELEC401 |
| 5 | ELEC505 | Electromagnetic Compatibility | 3-1-0-4 | ELEC202 |
| 6 | ELEC601 | Advanced Power Electronics | 3-1-0-4 | ELEC303 |
| 6 | ELEC602 | Robotics and Automation | 3-1-0-4 | ELEC404, ELEC304 |
| 6 | ELEC603 | Data Science for Electrical Engineers | 3-1-0-4 | ELEC404 |
| 6 | ELEC604 | Control System Design | 3-1-0-4 | ELEC304 |
| 6 | ELEC605 | Power System Protection | 3-1-0-4 | ELEC401 |
| 7 | ELEC701 | Project Management | 2-0-2-3 | - |
| 7 | ELEC702 | Research Methodology | 2-0-2-3 | - |
| 7 | ELEC703 | Capstone Project I | 4-0-0-4 | - |
| 8 | ELEC801 | Capstone Project II | 4-0-0-4 | ELEC703 |
| 8 | ELEC802 | Internship Program | 4-0-0-4 | - |
| 8 | ELEC803 | Professional Ethics and Legal Aspects | 2-0-2-3 | - |
Advanced Departmental Electives
Advanced departmental electives offer students opportunities to specialize in areas of interest and pursue research-oriented coursework. These courses are designed to provide deeper insights into specific engineering domains and prepare students for advanced studies or industry roles.
One such course is Renewable Energy Systems, which explores the integration of solar, wind, hydroelectric, and geothermal energy sources into power grids. Students study grid codes, energy storage systems, and policy frameworks supporting clean energy adoption. The course includes laboratory sessions on photovoltaic cell testing and wind turbine simulation.
The Power Electronics and Drives elective focuses on designing and analyzing power conversion circuits used in industrial applications and electric vehicles. Students learn about DC-DC converters, AC-DC rectifiers, inverters, and motor drives. Practical labs involve building prototype circuits and testing performance under different load conditions.
The Control Systems and Robotics course introduces students to modern control theory and robotics applications. Topics include feedback control design, state-space representation, robot kinematics and dynamics, and sensor integration. Hands-on projects involve programming robotic manipulators using MATLAB/Simulink and Arduino platforms.
In Signal Processing and Communications, students explore digital signal processing techniques and communication protocols. Courses cover filter design, sampling theorem, frequency domain analysis, and error correction codes. Laboratory sessions include implementing DSP algorithms in software tools like MATLAB and programming wireless transceivers using software-defined radios.
The Embedded Systems Design elective trains students to develop intelligent devices that can collect, process, and transmit data in real-time. Students study microcontroller architecture, real-time operating systems, sensor integration, and network protocols. Projects involve designing IoT devices with wireless connectivity and cloud integration capabilities.
VLSI Design and Embedded Computing is an advanced course focusing on integrated circuit design and embedded computing platforms. Students learn about digital logic design, VLSI layout techniques, FPGA programming, and low-power design methodologies. Labs involve using CAD tools for schematic capture and physical implementation of circuits.
Data Science and Machine Learning for Electrical Engineers combines data analytics with electrical engineering applications. Students study predictive modeling, neural networks, machine learning frameworks, and big data processing. Projects include applying ML algorithms to power system monitoring and anomaly detection in communication systems.
Electromagnetic Compatibility and Interference deals with ensuring that electronic devices operate correctly in their intended electromagnetic environment. Topics include interference sources, shielding techniques, grounding methods, and compliance standards. Laboratory sessions involve EMI testing using spectrum analyzers and designing PCB layouts for minimal interference.
Project-Based Learning Philosophy
The department places significant emphasis on project-based learning to bridge the gap between theory and practice. Students are encouraged to apply knowledge gained in classroom settings to real-world challenges through structured mini-projects and final-year capstone projects.
Mini-projects are conducted during the third and fourth years, providing students with opportunities to work collaboratively on specific engineering problems. These projects typically last for one semester and involve research, design, implementation, testing, and documentation phases.
The evaluation criteria for mini-projects include technical execution, innovation, teamwork, presentation skills, and adherence to project timelines. Students are assigned mentors from faculty who guide them through the process of selecting appropriate problems, developing feasible solutions, and presenting results at departmental symposiums.
Final-year capstone projects represent the culmination of the undergraduate experience. Students choose projects that align with their interests and career goals, working closely with faculty advisors to define scope, objectives, methodology, and deliverables. These projects often lead to publications, patents, or industry collaborations.
The department supports student project selection through a structured process involving interest surveys, faculty mentor availability, resource allocation, and feasibility assessments. Students can propose their own ideas or choose from pre-approved topics that reflect current industry trends and research needs.