Electrical Engineering Curriculum Overview
The Electrical Engineering curriculum at North East Frontier Technical University West Siang is meticulously designed to provide students with a strong foundation in core engineering principles while offering flexibility to explore specialized areas of interest. The program spans eight semesters, each carefully structured to build upon previous knowledge and introduce advanced concepts.
Course Structure
| Year | Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|---|
| 1 | I | ENG101 | English for Engineers | 3-0-0-3 | - |
| MAT101 | Engineering Mathematics I | 4-0-0-4 | - | ||
| 1 | II | PHY101 | Physics for Engineers | 3-0-0-3 | - |
| CHM101 | Chemistry for Engineers | 3-0-0-3 | - | ||
| 2 | III | MAT201 | Engineering Mathematics II | 4-0-0-4 | MAT101 |
| ECE201 | Basic Electrical Circuits | 3-0-0-3 | - | ||
| 2 | IV | PHY201 | Electromagnetic Fields and Waves | 3-0-0-3 | PHY101 |
| CSE201 | Introduction to Programming | 3-0-0-3 | - | ||
| 3 | V | MAT301 | Engineering Mathematics III | 4-0-0-4 | MAT201 |
| ECE301 | Network Analysis and Synthesis | 3-0-0-3 | ECE201 | ||
| 3 | VI | EE301 | Digital Electronics | 3-0-0-3 | ECE201 |
| CSE301 | Signals and Systems | 3-0-0-3 | MAT201 | ||
| 4 | VII | EE401 | Power Electronics | 3-0-0-3 | ECE301 |
| EE402 | Control Systems | 3-0-0-3 | ECE301 | ||
| 4 | VIII | EE403 | Communication Systems | 3-0-0-3 | CSE301 |
| EE404 | Microprocessors and Microcontrollers | 3-0-0-3 | ECE301 |
Advanced Departmental Electives
Students are exposed to a wide range of advanced departmental electives in their final years, allowing them to specialize based on their interests and career goals. These courses include:
- Neural Networks and Deep Learning: This course introduces students to the fundamentals of neural networks, including backpropagation, convolutional networks, and recurrent networks. Students learn to apply these concepts using frameworks like TensorFlow and PyTorch.
- Advanced Power System Analysis: This elective delves into modern power system dynamics, stability analysis, and optimal power flow. Students analyze complex systems using MATLAB and Simulink, preparing them for roles in utility companies and energy firms.
- Wireless Communication Systems: Covering topics such as modulation techniques, multiple access methods, and error correction codes, this course provides students with the tools needed to design next-generation wireless networks.
- VLSI Design Techniques: Students learn about CMOS technology, logic synthesis, and layout design. They also gain hands-on experience using industry-standard EDA tools like Cadence and Mentor Graphics.
- Renewable Energy Technologies: This course explores solar, wind, hydroelectric, and geothermal power systems. It covers both theoretical aspects and practical implementation, including grid integration challenges.
- Embedded Systems Architecture: Focused on designing embedded applications for microcontrollers, this elective teaches students how to integrate hardware and software components effectively.
- Robotics and Motion Control: Students study robot kinematics, dynamics, and control systems. They build and program robots using ROS (Robot Operating System) and other platforms.
- Smart Grid Technologies: This course covers smart meters, demand response, and energy storage systems. It emphasizes the integration of renewable sources into existing power grids.
- Digital Signal Processing: Students explore digital filters, FFT algorithms, and spectral estimation techniques. Practical assignments involve signal processing using MATLAB and Python.
- Power Quality and Harmonics: This course examines power quality issues, including harmonics, voltage fluctuations, and flicker. Students learn to diagnose and mitigate these problems in real-world systems.
Project-Based Learning Philosophy
The department strongly believes in project-based learning as a means of bridging theory and practice. The curriculum includes mandatory mini-projects in the third year and a final-year thesis/capstone project that spans the entire semester.
Mini-Projects (Third Year)
In their third year, students work on group projects designed to reinforce concepts learned in core courses. These projects are typically 15-20 weeks long and involve problem-solving, research, and presentation skills development. Projects often address real-world issues such as designing a solar-powered irrigation system or optimizing traffic light control for urban areas.
Final-Year Thesis/Capstone Project
The final-year project is a significant component of the program, allowing students to apply all knowledge gained throughout their studies. Each student works closely with a faculty mentor to identify a research topic relevant to current industry trends. Projects are evaluated based on technical depth, innovation, and presentation quality.
Project Selection Process
Students begin selecting their final-year projects in the second half of the fourth year. Faculty mentors suggest topics based on ongoing research initiatives or industry needs. Students submit proposals outlining their approach, timeline, and expected outcomes. The department ensures that each project aligns with academic rigor and industry relevance.