Electrical Engineering Curriculum Overview
The Electrical Engineering curriculum at Himalayan University Nahalagun is designed to provide students with a strong foundation in core principles while offering flexibility through specialized electives and research opportunities. The program spans four years, divided into eight semesters, each building upon the previous one to ensure comprehensive understanding and practical application.
Course Schedule - All Eight Semesters
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | EE101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | EE102 | Physics for Engineers | 3-1-0-4 | - |
| 1 | EE103 | Introduction to Programming | 2-1-0-3 | - |
| 1 | EE104 | Basic Electrical Circuits | 3-1-0-4 | - |
| 1 | EE105 | Engineering Drawing & Design | 2-1-0-3 | - |
| 1 | EE106 | Workshop Practice | 2-1-0-3 | - |
| 2 | EE201 | Engineering Mathematics II | 3-1-0-4 | EE101 |
| 2 | EE202 | Electromagnetic Fields | 3-1-0-4 | EE102 |
| 2 | EE203 | Digital Logic Design | 3-1-0-4 | EE104 |
| 2 | EE204 | Signals and Systems | 3-1-0-4 | EE101 |
| 2 | EE205 | Electrical Machines I | 3-1-0-4 | EE104 |
| 2 | EE206 | Laboratory Workshop I | 2-1-0-3 | - |
| 3 | EE301 | Power Systems Analysis | 3-1-0-4 | EE205 |
| 3 | EE302 | Control Systems | 3-1-0-4 | EE204 |
| 3 | EE303 | Communication Systems | 3-1-0-4 | EE204 |
| 3 | EE304 | Microprocessors and Microcontrollers | 3-1-0-4 | EE203 |
| 3 | EE305 | Electronics Devices and Circuits | 3-1-0-4 | EE202 |
| 3 | EE306 | Laboratory Workshop II | 2-1-0-3 | - |
| 4 | EE401 | Power Electronics | 3-1-0-4 | EE305 |
| 4 | EE402 | Advanced Signal Processing | 3-1-0-4 | EE303 |
| 4 | EE403 | Industrial Automation | 3-1-0-4 | EE302 |
| 4 | EE404 | Renewable Energy Systems | 3-1-0-4 | EE301 |
| 4 | EE405 | Embedded Systems Design | 3-1-0-4 | EE304 |
| 4 | EE406 | Laboratory Workshop III | 2-1-0-3 | - |
| 5 | EE501 | Power System Protection | 3-1-0-4 | EE401 |
| 5 | EE502 | Wireless Communication | 3-1-0-4 | EE303 |
| 5 | EE503 | Machine Learning for Engineers | 3-1-0-4 | EE204 |
| 5 | EE504 | Advanced Control Systems | 3-1-0-4 | EE302 |
| 5 | EE505 | Cybersecurity in Electronics | 3-1-0-4 | EE305 |
| 5 | EE506 | Project Lab I | 2-1-0-3 | - |
| 6 | EE601 | Smart Grid Technologies | 3-1-0-4 | EE501 |
| 6 | EE602 | RF and Microwave Engineering | 3-1-0-4 | EE202 |
| 6 | EE603 | Robotics and Automation | 3-1-0-4 | EE504 |
| 6 | EE604 | VLSI Design | 3-1-0-4 | EE505 |
| 6 | EE605 | Advanced Embedded Systems | 3-1-0-4 | EE505 |
| 6 | EE606 | Project Lab II | 2-1-0-3 | - |
| 7 | EE701 | Capstone Project I | 4-2-0-6 | EE501, EE504 |
| 7 | EE702 | Special Topics in Electrical Engineering | 3-1-0-4 | - |
| 7 | EE703 | Research Methodology | 2-1-0-3 | - |
| 8 | EE801 | Capstone Project II | 4-2-0-6 | EE701 |
| 8 | EE802 | Professional Practices and Ethics | 2-1-0-3 | - |
| 8 | EE803 | Industrial Internship | 2-1-0-3 | - |
Advanced Departmental Electives
Advanced elective courses offer students opportunities to explore specialized areas within electrical engineering and tailor their education according to their interests and career aspirations. Below are detailed descriptions of several key advanced electives:
1. Power System Protection
This course delves into the principles and practices of protecting power systems against faults and disturbances. Students learn about protective relaying, fault analysis, and system design for reliability and security. The course includes both theoretical study and hands-on simulation using industry-standard software.
2. Wireless Communication
Students gain an in-depth understanding of wireless communication systems including modulation techniques, channel coding, and multiple access protocols. Practical sessions involve working with RF equipment and simulating wireless networks using MATLAB and Simulink.
3. Machine Learning for Engineers
This course bridges the gap between electrical engineering fundamentals and modern machine learning techniques. Students learn how to apply ML algorithms in signal processing, control systems, and power system optimization. The course includes real-world case studies and project-based learning.
4. Advanced Control Systems
Building upon basic control theory, this course explores advanced topics such as state-space representation, optimal control, and robust control design. Students engage in complex modeling and simulation projects involving industrial applications.
5. Cybersecurity in Electronics
Focused on securing electronic devices and systems from cyber threats, this course covers hardware-level security, embedded system vulnerabilities, and secure communication protocols. Practical labs involve penetration testing and implementing secure firmware solutions.
6. Smart Grid Technologies
This course examines the evolution of smart grids and their integration with renewable energy sources. Topics include grid automation, demand response systems, and energy management platforms. Students work on simulation projects using real-world datasets.
7. RF and Microwave Engineering
Students explore the design and analysis of high-frequency circuits and systems used in wireless communications and radar applications. The course includes both theoretical concepts and practical lab sessions involving microwave measurement techniques and component design.
8. Robotics and Automation
This elective combines mechanical engineering principles with electrical controls to build autonomous robotic systems. Students learn about sensor integration, motor control, path planning, and AI-based decision-making in robotics.
9. VLSI Design
The course focuses on designing integrated circuits using very-large-scale integration (VLSI) techniques. Students learn about logic synthesis, layout design, and verification methods. The course includes hands-on experience with CAD tools like Cadence and Synopsys.
10. Advanced Embedded Systems
This course covers advanced topics in embedded system development including real-time operating systems, embedded networking, and microcontroller architecture. Students develop complex embedded applications using C/C++ and ARM-based platforms.
Project-Based Learning Philosophy
Himalayan University Nahalagun strongly emphasizes project-based learning as a core component of its Electrical Engineering curriculum. This approach integrates theoretical knowledge with practical application, fostering innovation, problem-solving skills, and collaborative work environments.
Mini-Projects Structure
Throughout the first four semesters, students undertake several mini-projects that are typically completed in groups of 3-5 members. These projects focus on solving real-world problems using basic electrical engineering principles. Mini-projects are designed to enhance understanding and encourage creativity while providing foundational experience for larger capstone efforts.
Final-Year Thesis/Capstone Project
The final-year capstone project is a significant milestone in the program. Students select a research topic under the guidance of a faculty mentor and work on an original investigation or design project over two semesters. The project must demonstrate advanced technical proficiency, innovative thinking, and effective communication of results.
Project Selection Process
Students can propose their own project ideas or choose from a list of pre-approved topics suggested by faculty members. The selection process involves submitting a proposal, attending an interview with potential mentors, and final approval from the departmental advisory committee. Projects are evaluated based on feasibility, novelty, relevance to industry trends, and alignment with student interests.
Evaluation Criteria
Projects are assessed using multiple criteria including technical depth, innovation, teamwork, presentation quality, and final deliverables. Regular progress reports and milestone reviews ensure that projects stay on track and meet academic standards. Students receive continuous feedback from faculty advisors throughout the project lifecycle.