Comprehensive Course List and Credit Structure
The curriculum for the Electrical Engineering program at North East Adventist University West Jaintia Hills is structured across eight semesters, with each semester carrying a specific credit load designed to ensure balanced academic progression.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MAT101 | Mathematics I | 3-1-0-4 | None |
| 1 | PHY101 | Physics I | 3-1-0-4 | None |
| 1 | CHM101 | Chemistry I | 3-1-0-4 | None |
| 1 | ENG101 | Engineering Graphics | 2-1-0-3 | None |
| 1 | CSE101 | Introduction to Programming | 2-0-2-3 | None |
| 2 | MAT201 | Mathematics II | 3-1-0-4 | MAT101 |
| 2 | PHY201 | Physics II | 3-1-0-4 | PHY101 |
| 2 | ECO201 | Basic Electrical Engineering | 3-1-0-4 | None |
| 2 | CSE201 | Data Structures and Algorithms | 2-0-2-3 | CSE101 |
| 2 | MEC201 | Engineering Mechanics | 3-1-0-4 | None |
| 3 | MAT301 | Mathematics III | 3-1-0-4 | MAT201 |
| 3 | ECE301 | Circuit Analysis | 3-1-0-4 | ECO201 |
| 3 | MEC301 | Thermodynamics | 3-1-0-4 | MEC201 |
| 3 | ECE302 | Signals and Systems | 3-1-0-4 | MAT301 |
| 3 | CSE301 | Object-Oriented Programming | 2-0-2-3 | CSE201 |
| 3 | ECE303 | Electronic Devices and Circuits | 3-1-0-4 | ECO201 |
| 4 | MAT401 | Mathematics IV | 3-1-0-4 | MAT301 |
| 4 | ECE401 | Power Systems Analysis | 3-1-0-4 | ECE301 |
| 4 | ECE402 | Control Systems | 3-1-0-4 | ECE302 |
| 4 | ECE403 | Microprocessors and Microcontrollers | 3-1-0-4 | ECE303 |
| 4 | ECE404 | Digital Signal Processing | 3-1-0-4 | ECE302 |
| 4 | CSE401 | Database Management Systems | 2-0-2-3 | CSE301 |
| 5 | ECE501 | Electromagnetic Fields and Waves | 3-1-0-4 | ECE302 |
| 5 | ECE502 | Communication Systems | 3-1-0-4 | ECE302 |
| 5 | ECE503 | Power Electronics | 3-1-0-4 | ECE401 |
| 5 | ECE504 | Embedded Systems | 3-1-0-4 | ECE403 |
| 5 | CSE501 | Software Engineering | 2-0-2-3 | CSE401 |
| 6 | ECE601 | Renewable Energy Systems | 3-1-0-4 | ECE401 |
| 6 | ECE602 | Advanced Control Systems | 3-1-0-4 | ECE402 |
| 6 | ECE603 | Wireless Communication | 3-1-0-4 | ECE502 |
| 6 | ECE604 | VLSI Design | 3-1-0-4 | ECE303 |
| 6 | CSE601 | Machine Learning | 2-0-2-3 | CSE501 |
| 7 | ECE701 | Power System Protection | 3-1-0-4 | ECE601 |
| 7 | ECE702 | Industrial Automation | 3-1-0-4 | ECE402 |
| 7 | ECE703 | Robotics and Mechatronics | 3-1-0-4 | ECE501 |
| 7 | ECE704 | Smart Grid Technologies | 3-1-0-4 | ECE601 |
| 7 | CSE701 | Big Data Analytics | 2-0-2-3 | CSE601 |
| 8 | ECE801 | Final Year Project | 0-0-6-6 | None |
| 8 | ECE802 | Project Thesis | 0-0-6-6 | None |
Detailed Course Descriptions for Advanced Departmental Electives
Renewable Energy Systems: This course introduces students to the principles and technologies used in generating electricity from renewable sources. Topics include solar photovoltaics, wind turbines, hydroelectric systems, and energy storage solutions. Students learn about grid integration, environmental impact assessments, and policy frameworks supporting clean energy transitions.
Power System Protection: Designed for advanced learners, this course covers the design and implementation of protective relays in power systems. Students study fault analysis, relay coordination, and system stability under various operating conditions. The course emphasizes practical applications through simulation labs and case studies from real-world utility projects.
Advanced Control Systems: This elective explores modern control theory including state-space representation, optimal control, and robust control techniques. Students engage in complex modeling and simulation exercises using MATLAB/Simulink, preparing them for roles in automation and robotics industries.
Wireless Communication: Focused on contemporary wireless communication standards such as 4G LTE, 5G NR, and Wi-Fi protocols. The course covers modulation schemes, channel coding, and multiple access techniques. Practical sessions involve setting up communication networks using software-defined radios (SDRs).
VLSI Design: This advanced course delves into the design and fabrication of very large-scale integrated circuits. Students learn about CMOS technology, logic synthesis, layout design, and verification methods. The lab component includes designing and simulating circuits using industry-standard EDA tools like Cadence and Synopsys.
Industrial Automation: Integrates concepts from control systems, PLC programming, and sensor integration into industrial applications. Students work on real-time projects involving process control, machine monitoring, and SCADA systems. The course prepares students for roles in manufacturing and automation consulting firms.
Robotics and Mechatronics: Combines mechanical engineering, electronics, and computer science to design intelligent robots. Students gain hands-on experience with robotic arms, sensors, actuators, and embedded controllers. Projects include building autonomous vehicles, manipulator systems, and humanoid robots.
Smart Grid Technologies: Addresses the challenges of integrating distributed energy resources into modern electrical grids. The course covers smart metering, demand response programs, grid stability, and cybersecurity in power systems. Students analyze real-time data from smart grid networks using Python-based tools.
Big Data Analytics: Focuses on extracting insights from large datasets using statistical modeling and machine learning algorithms. Students work with real-world datasets from industries such as finance, healthcare, and telecommunications. The course includes hands-on sessions in Spark, Hadoop, and cloud computing platforms like AWS.
Signal Processing for Communications: Explores the mathematical foundations of signal processing applied to communication systems. Topics include digital modulation, filtering techniques, spectral analysis, and error correction codes. Students implement algorithms using MATLAB and Python frameworks.
Project-Based Learning Philosophy
The department at North East Adventist University West Jaintia Hills emphasizes project-based learning as a cornerstone of its educational approach. This philosophy encourages students to apply theoretical knowledge in practical scenarios, fostering innovation and critical thinking skills.
Mini-projects are introduced in the third year, where students work on small-scale implementations of real-world problems. These projects are typically completed within 4-6 weeks and involve close mentorship from faculty members. Students select projects based on their interests and career aspirations, with guidance from academic advisors.
The final-year capstone project is a significant component of the program, lasting approximately 12 months. Students form teams to tackle complex engineering challenges, often sponsored by industry partners or funded through university research grants. The project involves extensive literature review, design phase, prototyping, testing, and documentation.
Project selection occurs through an online portal where students can browse available topics and express preferences. Faculty mentors are assigned based on student interests and expertise availability. Regular progress reports and milestone reviews ensure timely completion and quality outcomes.