Electrical Engineering Curriculum Overview
The Electrical Engineering curriculum at Lakshmi Narain College of Technology and Science RIT is meticulously structured to provide a balanced mix of theoretical knowledge, practical skills, and real-world problem-solving capabilities. The program spans four academic years, with each year building upon the foundational concepts established in previous semesters.
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
---|---|---|---|---|
1 | MA101 | Mathematics I | 3-1-0-4 | - |
1 | PH101 | Physics I | 3-1-0-4 | - |
1 | CH101 | Chemistry I | 3-1-0-4 | - |
1 | EC101 | Engineering Graphics | 2-0-2-3 | - |
1 | CS101 | Introduction to Programming | 2-0-2-3 | - |
1 | EL101 | Basic Electrical Engineering | 3-1-0-4 | - |
2 | MA201 | Mathematics II | 3-1-0-4 | MA101 |
2 | PH201 | Physics II | 3-1-0-4 | PH101 |
2 | EC201 | Circuit Analysis | 3-1-0-4 | EL101 |
2 | EL201 | Electromagnetic Fields | 3-1-0-4 | PH101 |
2 | CS201 | Data Structures and Algorithms | 2-0-2-3 | CS101 |
2 | EL202 | Analog Electronics | 3-1-0-4 | EC201 |
3 | MA301 | Mathematics III | 3-1-0-4 | MA201 |
3 | PH301 | Quantum Physics and Modern Physics | 3-1-0-4 | PH201 |
3 | EC301 | Signals and Systems | 3-1-0-4 | MA201 |
3 | EL301 | Digital Electronics | 3-1-0-4 | EL202 |
3 | CS301 | Computer Architecture | 2-0-2-3 | CS201 |
3 | EL302 | Control Systems | 3-1-0-4 | EC201 |
4 | MA401 | Mathematics IV | 3-1-0-4 | MA301 |
4 | PH401 | Nuclear Physics and Applications | 3-1-0-4 | PH301 |
4 | EC401 | Communication Systems | 3-1-0-4 | EC301 |
4 | EL401 | Power Electronics | 3-1-0-4 | EL202 |
4 | CS401 | Operating Systems | 2-0-2-3 | CS301 |
4 | EL402 | Microprocessors and Microcontrollers | 3-1-0-4 | EL301 |
5 | EC501 | Power Systems | 3-1-0-4 | EL302 |
5 | EL501 | Distributed Control Systems | 3-1-0-4 | EL302 |
5 | CS501 | Database Management Systems | 2-0-2-3 | CS301 |
5 | EL502 | Electrical Machines | 3-1-0-4 | EC201 |
5 | EC502 | Wireless Communication | 3-1-0-4 | EC401 |
5 | EL503 | Renewable Energy Systems | 3-1-0-4 | EL202 |
6 | EC601 | Advanced Control Systems | 3-1-0-4 | EL302 |
6 | EL601 | Power System Protection | 3-1-0-4 | EC501 |
6 | CS601 | Machine Learning | 2-0-2-3 | CS401 |
6 | EL602 | Embedded Systems | 3-1-0-4 | CS401 |
6 | EC602 | Digital Signal Processing | 3-1-0-4 | EC301 |
6 | EL603 | Industrial Automation | 3-1-0-4 | EL302 |
7 | EC701 | Advanced Communication Techniques | 3-1-0-4 | EC401 |
7 | EL701 | Smart Grid Technologies | 3-1-0-4 | EC501 |
7 | CS701 | Cloud Computing | 2-0-2-3 | CS401 |
7 | EL702 | Energy Storage Systems | 3-1-0-4 | EL503 |
7 | EC702 | Optical Fiber Communication | 3-1-0-4 | EC401 |
7 | EL703 | Robotics and Automation | 3-1-0-4 | EL302 |
8 | EC801 | Capstone Project I | 3-0-0-6 | - |
8 | EL801 | Capstone Project II | 3-0-0-6 | - |
8 | CS801 | Special Topics in Electrical Engineering | 2-0-2-3 | - |
8 | EL802 | Research Methodology | 2-0-0-2 | - |
8 | EC802 | Advanced Signal Processing | 3-1-0-4 | EC602 |
8 | EL803 | Industrial Internship | 0-0-0-4 | - |
Beyond the core subjects, students are exposed to departmental electives that allow them to specialize in areas of interest. These include:
- Advanced Power Electronics: Focuses on high-efficiency conversion techniques and power quality improvement methods.
- Renewable Energy Systems: Covers solar, wind, hydroelectric, and geothermal energy technologies.
- Embedded Systems Design: Teaches students to design and develop systems that integrate hardware and software components.
- Artificial Intelligence in Electrical Engineering: Integrates AI concepts with traditional electrical engineering principles to solve complex problems.
- Network Security: Addresses cybersecurity challenges in communication networks and embedded systems.
- IoT and Smart Devices: Focuses on the development of smart devices using sensors, actuators, and wireless communication protocols.
- Control Systems for Robotics: Applies control theory to robotics applications.
- Power System Protection: Covers fault analysis and protection schemes in electrical power systems.
- Digital Signal Processing: Focuses on algorithms for processing signals using digital computers or specialized processors.
- Wireless Communication Systems: Studies modulation techniques, channel coding, and multiple access methods in wireless networks.
The department's philosophy on project-based learning is rooted in the belief that hands-on experience is essential for mastering complex engineering concepts. Students undertake mandatory mini-projects throughout their academic journey, culminating in a comprehensive final-year thesis or capstone project.
Mini-projects begin in the third semester and involve solving real-world problems under faculty guidance. These projects are evaluated based on technical execution, creativity, teamwork, and presentation skills.
The final-year capstone project is an opportunity for students to demonstrate their mastery of the discipline by working on a significant engineering challenge. Students can choose from a wide range of topics or propose their own ideas after consultation with faculty mentors. The evaluation criteria include innovation, feasibility, impact, and documentation quality.