Comprehensive Course Structure for Electrical Engineering Program
This detailed curriculum outlines the progression of subjects across all eight semesters, covering core disciplines, departmental electives, science electives, and laboratory components.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | EE101 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | EE102 | Mathematics I | 4-0-0-4 | - |
| 1 | EE103 | Physics | 3-1-0-4 | - |
| 1 | EE104 | Chemistry | 3-1-0-4 | - |
| 1 | EE105 | Computer Programming | 2-1-0-3 | - |
| 1 | EE106 | Workshop Practice | 1-0-0-1 | - |
| 2 | EE201 | Circuit Analysis | 3-1-0-4 | EE101, EE102 |
| 2 | EE202 | Digital Logic Design | 3-1-0-4 | EE101 |
| 2 | EE203 | Electromagnetic Fields | 3-1-0-4 | EE102, EE103 |
| 2 | EE204 | Mathematics II | 4-0-0-4 | EE102 |
| 2 | EE205 | Engineering Drawing | 1-0-0-1 | - |
| 3 | EE301 | Power Systems Analysis | 3-1-0-4 | EE201, EE202 |
| 3 | EE302 | Control Systems | 3-1-0-4 | EE201, EE204 |
| 3 | EE303 | Signals and Systems | 3-1-0-4 | EE204 |
| 3 | EE304 | Electronic Devices and Circuits | 3-1-0-4 | EE101, EE203 |
| 3 | EE305 | Mathematics III | 4-0-0-4 | EE204 |
| 4 | EE401 | Power Electronics | 3-1-0-4 | EE304 |
| 4 | EE402 | Microprocessor and Microcontroller | 3-1-0-4 | EE202, EE304 |
| 4 | EE403 | Communication Systems | 3-1-0-4 | EE303 |
| 4 | EE404 | Industrial Instrumentation | 3-1-0-4 | EE303, EE201 |
| 4 | EE405 | Mathematics IV | 4-0-0-4 | EE305 |
| 5 | EE501 | Renewable Energy Sources | 3-1-0-4 | EE301, EE304 |
| 5 | EE502 | Advanced Power Transformers | 3-1-0-4 | EE301 |
| 5 | EE503 | Smart Grid Technologies | 3-1-0-4 | EE301, EE401 |
| 5 | EE504 | Advanced Control Systems | 3-1-0-4 | EE302 |
| 5 | EE505 | Signal Processing Techniques | 3-1-0-4 | EE303 |
| 6 | EE601 | Embedded Systems Design | 3-1-0-4 | EE402, EE505 |
| 6 | EE602 | Wireless Communication | 3-1-0-4 | EE403 |
| 6 | EE603 | Optical Fiber Communication | 3-1-0-4 | EE403 |
| 6 | EE604 | Power System Protection | 3-1-0-4 | EE301, EE401 |
| 6 | EE605 | Distributed Generation Systems | 3-1-0-4 | EE501, EE502 |
| 7 | EE701 | Advanced Power Electronics | 3-1-0-4 | EE401 |
| 7 | EE702 | Robotics and Automation | 3-1-0-4 | EE302, EE402 |
| 7 | EE703 | Artificial Intelligence in Electrical Systems | 3-1-0-4 | EE505, EE601 |
| 7 | EE704 | Project Management and Economics | 3-1-0-4 | - |
| 7 | EE705 | Research Methodology | 3-1-0-4 | - |
| 8 | EE801 | Capstone Project | 4-2-0-6 | All previous semesters |
| 8 | EE802 | Industrial Training | 0-0-0-3 | - |
| 8 | EE803 | Elective Course 1 | 3-1-0-4 | - |
| 8 | EE804 | Elective Course 2 | 3-1-0-4 | - |
| 8 | EE805 | Elective Course 3 | 3-1-0-4 | - |
Advanced Departmental Electives
Departmental electives in the Electrical Engineering program are carefully selected to provide students with specialized knowledge and advanced technical skills relevant to emerging trends in the field. These courses are designed to deepen understanding beyond core subjects and prepare students for advanced roles in industry or academia.
Renewable Energy Sources
This course explores various renewable energy technologies, including solar, wind, hydroelectric, and geothermal systems. Students learn about energy conversion principles, grid integration challenges, and policy frameworks supporting sustainable energy development. The course combines theoretical concepts with practical applications through laboratory experiments and case studies of real-world installations.
Advanced Power Transformers
Students gain in-depth knowledge of transformer design, operation, and maintenance. Topics include magnetic circuits, insulation systems, cooling methods, and fault analysis. The course emphasizes practical aspects such as testing procedures, efficiency optimization, and regulatory compliance with international standards.
Smart Grid Technologies
This elective focuses on smart grid concepts, including demand response systems, energy storage integration, and advanced metering infrastructure. Students explore the role of information technology in modern power networks and learn about cybersecurity measures for critical infrastructure protection.
Advanced Control Systems
Building upon foundational control theory, this course covers advanced topics such as state-space representation, robust control, nonlinear systems, and adaptive control strategies. Practical applications include industrial automation, robotics, and aerospace systems.
Signal Processing Techniques
This course delves into digital signal processing algorithms, including filtering, spectral analysis, and wavelet transforms. Students apply these techniques to real-world problems in telecommunications, biomedical engineering, audio processing, and image enhancement.
Embedded Systems Design
Students learn the design and implementation of embedded systems using microcontrollers, real-time operating systems, and hardware-software co-design principles. Projects involve developing applications for IoT devices, automotive systems, and industrial automation.
Wireless Communication
This course covers modern wireless communication standards such as 5G, LTE, Wi-Fi, Bluetooth, and satellite communications. Students study propagation models, modulation schemes, network architectures, and interference mitigation techniques.
Optical Fiber Communication
The course introduces optical fiber technology, including transmission principles, components, and system design. Practical sessions involve configuring fiber optic links and troubleshooting common issues in long-distance communication networks.
Power System Protection
Students learn about protective relaying systems, fault analysis, and system stability concepts. Emphasis is placed on designing protection schemes for electrical power systems, including circuit breakers, relays, and automatic reclosing mechanisms.
Distributed Generation Systems
This course examines distributed energy resources such as microgrids, plug-in hybrid electric vehicles, and distributed renewable sources. Students study integration challenges, control strategies, and economic models for decentralized power generation.
Project-Based Learning Philosophy
The department adheres to a robust project-based learning approach that integrates theoretical knowledge with practical skills. Projects are structured to simulate real-world engineering challenges and foster collaboration among students.
Mini-Projects
Mini-projects are introduced in the second year, allowing students to explore specific areas of interest under faculty guidance. These projects typically span two semesters and involve problem identification, design, implementation, and presentation. Evaluation criteria include creativity, technical execution, teamwork, and documentation quality.
Final-Year Thesis/Capstone Project
The capstone project is the culmination of the Electrical Engineering program, requiring students to undertake a comprehensive research or development initiative. Projects are selected in consultation with faculty mentors and often align with ongoing research activities within the department or industry partnerships.
Project Selection Process
Students participate in an annual project fair where potential mentors present their areas of expertise and available projects. The selection process considers student interests, academic performance, and mentor availability. Each student is assigned a primary advisor and may collaborate with additional faculty members based on project requirements.