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Fees
₹1,20,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,00,000
Fees
₹1,20,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,00,000
Seats
250
Students
250
Seats
250
Students
250
The Electrical Engineering program at Balwant Singh Mukhiya Bsm College Of Polytechnic is designed to provide a solid foundation in both theoretical concepts and practical applications, preparing students for diverse career paths in the rapidly evolving field of electrical engineering.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | EG-101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | PH-101 | Physics for Engineers | 3-1-0-4 | None |
| 1 | CH-101 | Chemistry for Engineers | 3-1-0-4 | None |
| 1 | ES-101 | Basic Electrical Circuits | 3-1-0-4 | None |
| 2 | EG-102 | Engineering Mathematics II | 3-1-0-4 | EG-101 |
| 2 | EE-101 | Electrical Measurements | 3-1-0-4 | ES-101 |
| 2 | EC-101 | Engineering Graphics | 2-1-0-3 | None |
| 2 | PE-101 | Programming for Engineers | 2-1-0-3 | None |
| 3 | EG-201 | Engineering Mathematics III | 3-1-0-4 | EG-102 |
| 3 | EE-201 | Network Analysis | 3-1-0-4 | ES-101 |
| 3 | EE-202 | Electromagnetic Fields | 3-1-0-4 | PH-101 |
| 3 | EE-203 | Electrical Machines | 3-1-0-4 | ES-101 |
| 4 | EE-301 | Signals and Systems | 3-1-0-4 | EG-201 |
| 4 | EE-302 | Control Systems | 3-1-0-4 | EG-201 |
| 4 | EE-303 | Digital Electronics | 3-1-0-4 | ES-101 |
| 5 | EE-401 | Power System Analysis | 3-1-0-4 | EE-201 |
| 5 | EE-402 | Microprocessors | 3-1-0-4 | PE-101 |
| 5 | EE-403 | Analog Electronics | 3-1-0-4 | EE-203 |
| 6 | EE-501 | Power Electronics | 3-1-0-4 | EE-203 |
| 6 | EE-502 | Industrial Automation | 3-1-0-4 | EE-302 |
| 6 | EE-503 | Embedded Systems | 3-1-0-4 | PE-101 |
| 7 | EE-601 | Renewable Energy Systems | 3-1-0-4 | EE-401 |
| 7 | EE-602 | Smart Grid Technologies | 3-1-0-4 | EE-401 |
| 7 | EE-603 | VLSI Design | 3-1-0-4 | EE-403 |
| 8 | EE-701 | Capstone Project | 3-0-6-9 | All previous courses |
The department offers a range of advanced elective courses that allow students to explore specialized areas within electrical engineering. These courses are designed to provide in-depth knowledge and practical skills relevant to current industry trends.
This course focuses on the design, implementation, and optimization of renewable energy technologies including solar photovoltaic systems, wind turbines, hydroelectric power generation, and biomass energy conversion. Students learn about energy storage solutions, grid integration challenges, and environmental impact assessments. The course includes laboratory sessions where students build and test small-scale renewable energy systems.
Smart grids represent the next evolution in power distribution networks, incorporating advanced sensors, communication technologies, and data analytics to improve efficiency, reliability, and sustainability. This course covers topics such as demand response management, smart metering systems, energy storage integration, and cyber security in grid operations.
Very Large Scale Integration (VLSI) design involves creating complex integrated circuits using specialized tools and methodologies. This course introduces students to the fundamentals of VLSI design flow, including logic synthesis, physical design, timing analysis, and verification techniques. Students gain hands-on experience with industry-standard CAD tools.
Power electronics deals with the conversion and control of electrical power using semiconductor devices. This course covers rectifiers, inverters, DC-DC converters, and AC-AC converters, focusing on both theoretical analysis and practical implementation. Students learn about power factor correction, motor drives, and high-voltage applications.
Industrial automation involves the use of control systems, instrumentation, and robotics to automate manufacturing processes. This course covers programmable logic controllers (PLCs), human-machine interfaces (HMIs), sensor technologies, and industrial communication protocols. Students engage in laboratory experiments involving real-world automation setups.
Embedded systems are specialized computing systems integrated into larger mechanical or electrical systems. This course explores microcontroller architectures, real-time operating systems, embedded software development, and hardware-software co-design principles. Practical projects involve designing and implementing embedded solutions for various applications.
This course delves into advanced control theory concepts including state-space methods, optimal control, robust control, and nonlinear systems. Students learn to design controllers using modern computational tools and apply these techniques to real-world engineering problems involving complex dynamic systems.
EMC focuses on ensuring that electronic devices operate correctly in their intended electromagnetic environment without causing interference to other systems. This course covers electromagnetic interference sources, shielding techniques, filtering methods, and compliance testing procedures. Students gain practical experience through laboratory experiments and case studies.
Signal processing involves analyzing and modifying signals in various domains including time, frequency, and wavelet representations. This course covers discrete-time signal processing, digital filter design, Fourier transforms, and applications in communications and image processing. Students implement signal processing algorithms using MATLAB and Python.
This course provides a comprehensive introduction to communication systems, covering analog and digital modulation techniques, channel coding, multiplexing methods, and modern wireless communication standards. Students learn about information theory concepts and apply them to practical communication system design.
The Electrical Engineering program at Balwant Singh Mukhiya Bsm College Of Polytechnic emphasizes project-based learning as a core component of the educational experience. This approach integrates theoretical knowledge with practical application, fostering critical thinking and innovation skills.
Mini-projects are introduced in the second year, allowing students to apply fundamental concepts learned in core courses to real-world problems. These projects typically last 4-6 weeks and involve small teams working under faculty supervision. The evaluation criteria include project proposal, implementation progress, final report, and presentation quality.
The final-year thesis/capstone project is a significant component of the program, requiring students to work independently or in groups on an original research or design problem. Students select their projects in consultation with faculty mentors based on their interests and career goals. The project spans an entire semester and involves extensive literature review, experimental work, data analysis, and final documentation.
Project selection is facilitated through a structured process involving faculty mentorship, industry liaison, and student preferences. Faculty members guide students in identifying feasible projects that align with current research trends and industry needs. The department maintains an active project database containing ideas from ongoing research initiatives, past student projects, and industry-sponsored challenges.
Regular progress meetings are scheduled throughout the project duration to ensure timely completion and quality outcomes. Students receive feedback on their work and are encouraged to present their findings at internal symposiums and conferences. Successful projects may be submitted for publication in academic journals or presented at national/international conferences, providing students with valuable exposure and recognition.
