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Fees
₹12,00,000
Placement
92.0%
Avg Package
₹6,50,000
Highest Package
₹20,00,000
Fees
₹12,00,000
Placement
92.0%
Avg Package
₹6,50,000
Highest Package
₹20,00,000
Seats
120
Students
1,500
Seats
120
Students
1,500
The Bachelor of Electrical Engineering program at Truba College of Science and Technology is designed to provide a comprehensive foundation in electrical engineering principles while offering specialized tracks tailored to modern industry demands. The curriculum spans eight semesters, with each semester comprising core courses, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | EE101 | Engineering Mathematics I | 3-0-0-3 | - |
| 1 | EE102 | Basic Electrical and Electronics Engineering | 3-0-0-3 | - |
| 1 | EE103 | Computer Programming | 3-0-0-3 | - |
| 1 | EE104 | Engineering Graphics | 2-0-0-2 | - |
| 1 | EE105 | Physics for Engineers | 3-0-0-3 | - |
| 1 | EE106 | Chemistry for Engineers | 3-0-0-3 | - |
| 2 | EE201 | Engineering Mathematics II | 3-0-0-3 | EE101 |
| 2 | EE202 | Network Analysis | 3-0-0-3 | EE102 |
| 2 | EE203 | Electronic Devices and Circuits | 3-0-0-3 | EE102 |
| 2 | EE204 | Signals and Systems | 3-0-0-3 | EE101 |
| 2 | EE205 | Digital Logic Design | 3-0-0-3 | EE102 |
| 2 | EE206 | Electronics Lab I | 0-0-3-1 | EE102 |
| 3 | EE301 | Power Systems Analysis | 3-0-0-3 | EE202 |
| 3 | EE302 | Control Systems | 3-0-0-3 | EE101 |
| 3 | EE303 | Electromagnetic Fields | 3-0-0-3 | EE205 |
| 3 | EE304 | Microprocessors and Microcontrollers | 3-0-0-3 | EE205 |
| 3 | EE305 | Electronics Lab II | 0-0-3-1 | EE203 |
| 3 | EE306 | Departmental Elective I | 3-0-0-3 | - |
| 4 | EE401 | Power Electronics | 3-0-0-3 | EE301 |
| 4 | EE402 | Communication Systems | 3-0-0-3 | EE204 |
| 4 | EE403 | Digital Signal Processing | 3-0-0-3 | EE204 |
| 4 | EE404 | Embedded Systems | 3-0-0-3 | EE304 |
| 4 | EE405 | Electronics Lab III | 0-0-3-1 | EE305 |
| 4 | EE406 | Departmental Elective II | 3-0-0-3 | - |
| 5 | EE501 | Renewable Energy Technologies | 3-0-0-3 | EE301 |
| 5 | EE502 | Smart Grid Technologies | 3-0-0-3 | EE301 |
| 5 | EE503 | Artificial Intelligence in Electrical Systems | 3-0-0-3 | EE403 |
| 5 | EE504 | Advanced Control Systems | 3-0-0-3 | EE302 |
| 5 | EE505 | Departmental Elective III | 3-0-0-3 | - |
| 5 | EE506 | Mini Project I | 0-0-6-2 | - |
| 6 | EE601 | Power System Protection | 3-0-0-3 | EE301 |
| 6 | EE602 | Robotics and Automation | 3-0-0-3 | EE302 |
| 6 | EE603 | Biomedical Signal Processing | 3-0-0-3 | EE403 |
| 6 | EE604 | Internet of Things (IoT) | 3-0-0-3 | EE404 |
| 6 | EE605 | Departmental Elective IV | 3-0-0-3 | - |
| 6 | EE606 | Mini Project II | 0-0-6-2 | - |
| 7 | EE701 | Final Year Thesis | 0-0-12-4 | - |
| 7 | EE702 | Electronics and Communication Systems | 3-0-0-3 | EE402 |
| 7 | EE703 | Advanced Power Electronics Applications | 3-0-0-3 | EE401 |
| 7 | EE704 | Research Methodology | 2-0-0-2 | - |
| 7 | EE705 | Departmental Elective V | 3-0-0-3 | - |
| 7 | EE706 | Project Presentation | 0-0-3-1 | - |
| 8 | EE801 | Final Year Project | 0-0-12-4 | - |
| 8 | EE802 | Industrial Training | 0-0-6-2 | - |
| 8 | EE803 | Professional Ethics and Social Responsibility | 2-0-0-2 | - |
| 8 | EE804 | Electronics and Communication Systems Lab | 0-0-3-1 | EE402 |
| 8 | EE805 | Departmental Elective VI | 3-0-0-3 | - |
| 8 | EE806 | Capstone Presentation | 0-0-3-1 | - |
Renewable Energy Technologies: This course explores the principles and applications of solar, wind, hydroelectric, and other sustainable energy sources. Students learn about energy conversion mechanisms, grid integration strategies, environmental impacts, and policy frameworks governing renewable energy adoption.
Smart Grid Technologies: This course delves into the architecture and operation of smart grids, including communication protocols, demand response systems, energy storage solutions, and cybersecurity measures essential for modern power networks.
Artificial Intelligence in Electrical Systems: This elective introduces students to machine learning algorithms and their applications in electrical engineering domains such as predictive maintenance, load forecasting, and intelligent control systems.
Advanced Control Systems: Students study advanced topics in control theory including state-space methods, optimal control, robust control, and nonlinear control strategies applied to complex industrial processes.
Robotics and Automation: This course covers the fundamentals of robotics, including kinematics, dynamics, sensor integration, actuator design, and automation systems used in manufacturing and service industries.
Biomedical Signal Processing: Students explore signal processing techniques applied to medical data, including ECG, EEG, and other physiological signals. The course emphasizes filtering, feature extraction, and classification methods for diagnostic applications.
Internet of Things (IoT): This elective focuses on IoT architecture, wireless communication protocols, embedded system design, cloud computing integration, and real-world applications in smart cities, agriculture, and healthcare.
Power System Protection: The course examines protective relays, fault analysis, system stability, and protection coordination schemes essential for maintaining reliable power supply networks.
Advanced Power Electronics Applications: Students study advanced topics in power electronics including inverter designs, motor drives, high-frequency converters, and energy-efficient rectifier configurations used in industrial applications.
Research Methodology: This course prepares students for conducting research by teaching scientific methods, literature review techniques, experimental design, data analysis tools, and academic writing skills.
The department at Truba College of Science and Technology believes that project-based learning is central to developing competent engineers who can apply theoretical knowledge in real-world scenarios. The curriculum includes mandatory mini-projects in the third and sixth semesters, followed by a comprehensive final-year thesis or capstone project.
Mini projects are designed to provide students with hands-on experience in applying engineering concepts to solve practical problems. These projects involve team collaboration, research, design, prototyping, testing, and documentation. Students work under faculty supervision and receive structured guidance throughout the process.
The final-year thesis or capstone project allows students to explore a specialized area of interest within electrical engineering. Projects are selected based on student preferences, faculty expertise, and industry relevance. Faculty mentors guide students through each phase of the project, from problem identification to solution implementation and evaluation.
Students must submit progress reports at regular intervals and present their findings in formal seminars. Evaluation criteria include technical competency, creativity, innovation, presentation quality, and adherence to ethical standards. The project component ensures that students develop critical thinking, communication, and leadership skills essential for professional success.
