Comprehensive Course Listing
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | EG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | EG102 | Physics for Engineers | 3-1-0-4 | - |
| 1 | EG103 | Introduction to Electrical Engineering | 2-0-2-3 | - |
| 1 | EG104 | Computer Programming | 2-0-2-3 | - |
| 1 | EG105 | Engineering Drawing and Workshop Practice | 1-0-3-2 | - |
| 2 | EG201 | Engineering Mathematics II | 3-1-0-4 | EG101 |
| 2 | EG202 | Chemistry for Engineers | 3-1-0-4 | - |
| 2 | EG203 | Circuit Analysis | 3-1-0-4 | EG103 |
| 2 | EG204 | Digital Electronics | 3-1-0-4 | EG103 |
| 2 | EG205 | Electromagnetic Fields | 3-1-0-4 | EG102 |
| 3 | EG301 | Signals and Systems | 3-1-0-4 | EG201 |
| 3 | EG302 | Electromagnetic Compatibility | 3-1-0-4 | EG205 |
| 3 | EG303 | Power Electronics | 3-1-0-4 | EG203 |
| 3 | EG304 | Control Systems | 3-1-0-4 | EG301 |
| 3 | EG305 | Microprocessors and Microcontrollers | 3-1-0-4 | EG204 |
| 4 | EG401 | Power System Analysis | 3-1-0-4 | EG303 |
| 4 | EG402 | Communication Systems | 3-1-0-4 | EG301 |
| 4 | EG403 | Industrial Automation | 3-1-0-4 | EG304 |
| 4 | EG404 | Embedded Systems | 3-1-0-4 | EG305 |
| 4 | EG405 | Digital Signal Processing | 3-1-0-4 | EG301 |
| 5 | EG501 | Renewable Energy Systems | 3-1-0-4 | EG401 |
| 5 | EG502 | Advanced Control Systems | 3-1-0-4 | EG304 |
| 5 | EG503 | Antenna and Wave Propagation | 3-1-0-4 | EG205 |
| 5 | EG504 | RF and Microwave Engineering | 3-1-0-4 | EG402 |
| 5 | EG505 | VLSI Design | 3-1-0-4 | EG303 |
| 6 | EG601 | Smart Grid Technologies | 3-1-0-4 | EG501 |
| 6 | EG602 | Neural Networks and AI | 3-1-0-4 | EG301 |
| 6 | EG603 | Biomedical Instrumentation | 3-1-0-4 | EG203 |
| 6 | EG604 | Energy Storage Systems | 3-1-0-4 | EG501 |
| 6 | EG605 | Project Management | 2-0-2-3 | - |
| 7 | EG701 | Research Methodology | 2-0-2-3 | - |
| 7 | EG702 | Advanced Topics in Electrical Engineering | 2-0-2-3 | - |
| 7 | EG703 | Mini Project I | 2-0-4-3 | - |
| 7 | EG704 | Mini Project II | 2-0-4-3 | EG703 |
| 8 | EG801 | Final Year Thesis | 4-0-6-8 | EG704 |
| 8 | EG802 | Capstone Project | 3-0-6-6 | EG704 |
| 8 | EG803 | Professional Ethics | 1-0-2-2 | - |
Detailed Course Descriptions
Advanced Power System Protection: This course explores modern protection schemes for electrical power systems, including relay coordination, fault analysis, and system stability. Students will learn to design and implement protective relays using industry-standard software tools.
Renewable Energy Integration: This subject focuses on integrating renewable energy sources into the existing grid infrastructure. Topics include solar panel efficiency, wind turbine design, and smart inverters for grid connection.
Neural Networks and AI: Students will study neural network architectures, deep learning algorithms, and their applications in signal processing and control systems. Practical sessions involve implementing models using Python and TensorFlow.
Embedded Systems Design: This course covers the design and implementation of embedded systems for various applications. Emphasis is placed on microcontroller programming, real-time operating systems, and hardware-software co-design.
Digital Signal Processing: Advanced techniques in digital signal processing including filter design, spectral analysis, and fast Fourier transform algorithms. Students will work on projects involving audio and image processing.
Biomedical Instrumentation: Introduction to medical devices and instrumentation used in healthcare settings. Topics include ECG monitoring, blood pressure measurement, and imaging technologies.
VLSI Design: Comprehensive coverage of integrated circuit design principles, including CMOS technology, layout design, and simulation tools. Students will design and simulate analog and digital circuits using industry-standard tools.
Smart Grid Technologies: Examination of smart grid components such as smart meters, energy storage systems, and demand response mechanisms. Practical applications include designing energy-efficient building controls.
RF and Microwave Engineering: Study of radio frequency and microwave circuits, including transmission lines, waveguides, and antennas. Students will design and test RF components in laboratory settings.
Industrial Automation: Overview of automation technologies used in industrial environments. Topics include PLC programming, SCADA systems, and robotics integration in manufacturing processes.
Project-Based Learning Philosophy
At The Global Open University Dimapur, we believe that practical experience is essential for mastering electrical engineering principles. Our project-based learning approach begins in the third year with mandatory mini-projects, followed by a comprehensive final-year thesis or capstone project.
Mini-projects are typically completed over two semesters and involve working on real-world problems proposed by industry partners or faculty members. These projects are evaluated based on technical depth, innovation, teamwork, and presentation skills.
The final-year thesis is an individual research endeavor that allows students to explore a specialized area of interest under the guidance of a faculty mentor. Students must submit a detailed proposal, conduct literature review, perform experiments or simulations, and present their findings in a formal thesis defense.
Project selection is done through a structured process involving faculty preferences, student interests, and availability of resources. Students are encouraged to collaborate with peers from different disciplines to foster interdisciplinary thinking and innovation.