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Fees
₹1,20,000
Placement
93.0%
Avg Package
₹5,50,000
Highest Package
₹9,50,000
Fees
₹1,20,000
Placement
93.0%
Avg Package
₹5,50,000
Highest Package
₹9,50,000
Seats
120
Students
300
Seats
120
Students
300
The Electrical Engineering curriculum at Government Polytechnic Bash Bagarh is meticulously designed to provide students with a strong foundation in both fundamental and advanced concepts, preparing them 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 | MA101 | Mathematics I | 3-1-0-4 | - |
| 1 | PH101 | Physics | 3-1-0-4 | - |
| 1 | CH101 | Chemistry | 3-1-0-4 | - |
| 1 | CS101 | Computer Programming | 2-0-2-3 | - |
| 1 | EG101 | Engineering Graphics | 2-0-2-3 | - |
| 1 | EC101 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | EP101 | Engineering Physics Lab | 0-0-2-1 | - |
| 1 | EC102 | Electrical Engineering Lab | 0-0-2-1 | - |
| 2 | MA102 | Mathematics II | 3-1-0-4 | MA101 |
| 2 | PH102 | Physics II | 3-1-0-4 | PH101 |
| 2 | EC201 | Circuit Analysis | 3-1-0-4 | EC101 |
| 2 | EC202 | Electronics Devices | 3-1-0-4 | EC101 |
| 2 | EC203 | Signals & Systems | 3-1-0-4 | MA102, EC201 |
| 2 | EC204 | Digital Logic Design | 3-1-0-4 | EC101 |
| 2 | EC205 | Electrical Machines I | 3-1-0-4 | EC101 |
| 2 | EP201 | Electronic Lab | 0-0-2-1 | - |
| 3 | MA201 | Mathematics III | 3-1-0-4 | MA102 |
| 3 | EC301 | Power System Analysis | 3-1-0-4 | EC201, EC205 |
| 3 | EC302 | Control Systems | 3-1-0-4 | EC203 |
| 3 | EC303 | Microprocessor Architecture | 3-1-0-4 | EC204 |
| 3 | EC304 | Embedded Systems | 3-1-0-4 | EC303 |
| 3 | EC305 | Electrical Machines II | 3-1-0-4 | EC205 |
| 3 | EC306 | Power Electronics | 3-1-0-4 | EC202 |
| 3 | EP301 | Control Systems Lab | 0-0-2-1 | - |
| 3 | EP302 | Microcontroller Lab | 0-0-2-1 | - |
| 4 | EC401 | Renewable Energy Systems | 3-1-0-4 | EC301, EC306 |
| 4 | EC402 | Signal Processing | 3-1-0-4 | EC203 |
| 4 | EC403 | Communication Systems | 3-1-0-4 | EC203 |
| 4 | EC404 | Advanced Control Systems | 3-1-0-4 | EC302 |
| 4 | EC405 | Industrial Electronics | 3-1-0-4 | EC202, EC306 |
| 4 | EC406 | Research Methodology | 2-0-0-2 | - |
| 4 | EP401 | Power Electronics Lab | 0-0-2-1 | - |
| 4 | EP402 | Signal Processing Lab | 0-0-2-1 | - |
| 5 | EC501 | Power System Protection | 3-1-0-4 | EC301 |
| 5 | EC502 | Wireless Communication | 3-1-0-4 | EC403 |
| 5 | EC503 | Smart Grid Technologies | 3-1-0-4 | EC301 |
| 5 | EC504 | Machine Learning Applications | 3-1-0-4 | EC203, EC402 |
| 5 | EC505 | Advanced Embedded Systems | 3-1-0-4 | EC304 |
| 5 | EC506 | Project Management | 2-0-0-2 | - |
| 5 | EP501 | Smart Grid Lab | 0-0-2-1 | - |
| 6 | EC601 | Research & Development Project | 3-0-0-3 | EC406, EC506 |
| 6 | EC602 | Capstone Project | 3-0-0-3 | - |
| 6 | EC603 | Special Topics in Electrical Engineering | 3-1-0-4 | - |
| 6 | EC604 | Industrial Training | 0-0-0-2 | - |
| 6 | EP601 | Final Year Project Lab | 0-0-4-2 | - |
Departmental electives are offered to allow students to specialize in areas of interest and gain deeper knowledge relevant to their career goals.
This elective course focuses on the principles, technologies, and applications of renewable energy systems including solar photovoltaics, wind power, hydroelectricity, and geothermal energy. Students study energy conversion processes, grid integration challenges, and environmental impact assessments.
This course explores the evolution of traditional power grids into smart grids using advanced sensors, communication networks, and control systems. Topics include demand response management, real-time monitoring, cyber security, and integration of distributed energy resources.
This elective introduces students to machine learning algorithms and their applications in electrical engineering domains such as signal processing, power system optimization, predictive maintenance, and fault detection. Students learn to implement models using Python, TensorFlow, and scikit-learn libraries.
Building upon basic control theory, this course delves into advanced topics like state-space representation, nonlinear control, robust control, adaptive control, and optimal control methods. Practical implementation using MATLAB/Simulink is emphasized.
This course covers modern wireless communication technologies including cellular networks, satellite communications, Wi-Fi, Bluetooth, and 5G standards. Students study modulation techniques, channel coding, multiple access schemes, and network protocols.
This elective focuses on designing and developing complex embedded systems using microcontrollers, real-time operating systems, and hardware-software co-design principles. Students work on projects involving IoT devices, robotics, and smart sensors.
This course addresses the design and application of electronic systems used in industrial environments including measurement instruments, control systems, PLCs, SCADA, and automation technologies. Practical labs involve programming industrial controllers and integrating them with sensors.
This subject covers protective relaying, fault analysis, and protection coordination in power systems. Students learn about various types of relays, protection schemes, and system reliability issues in electrical power networks.
This course examines signal processing techniques applied to communication systems including filtering, modulation, demodulation, and error correction. Students gain hands-on experience with digital signal processors and simulation tools like MATLAB.
This elective explores advanced topics in power electronics such as switching circuits, inverters, rectifiers, DC-DC converters, and resonant converters. Students study design principles, efficiency optimization, and application-specific configurations.
The department strongly believes in project-based learning as a means to bridge the gap between academic knowledge and practical application. Projects are assigned at different levels of complexity throughout the program, starting from foundational mini-projects in early semesters to comprehensive final-year capstone projects.
Mini-projects in first and second years focus on reinforcing theoretical concepts through laboratory experiments and small-scale implementations. These projects often involve circuit design, simulation, and testing using standard equipment available in departmental labs.
The third year introduces more sophisticated projects that require integration of multiple disciplines such as power systems, control theory, and electronics. Students are encouraged to collaborate with faculty members or external organizations to develop innovative solutions to real-world engineering problems.
Final-year thesis/capstone projects provide students with the opportunity to engage in independent research under the supervision of experienced faculty mentors. The process involves selecting a relevant topic, conducting literature review, designing methodology, implementing solution, and presenting findings in a formal report and defense session.
Students are guided through the project selection process by faculty advisors who help align interests with current industry trends and research areas. Mentorship includes regular meetings, progress reviews, resource allocation, and feedback sessions to ensure successful completion of projects.
