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Fees
₹2,50,000
Placement
92.0%
Avg Package
₹5,50,000
Highest Package
₹12,00,000
Fees
₹2,50,000
Placement
92.0%
Avg Package
₹5,50,000
Highest Package
₹12,00,000
Seats
120
Students
1,200
Seats
120
Students
1,200
| Semester | Course Code | Full Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Physics I | 3-1-0-4 | - |
| 1 | ENG103 | Chemistry I | 3-1-0-4 | - |
| 1 | ENG104 | Engineering Drawing | 2-0-2-3 | - |
| 1 | ENG105 | Introduction to Computing | 2-0-2-3 | - |
| 1 | ENG106 | English for Engineers | 2-0-0-2 | - |
| 2 | ENG201 | Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Physics II | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Chemistry II | 3-1-0-4 | ENG103 |
| 2 | ENG204 | Basic Electrical Engineering | 3-1-0-4 | - |
| 2 | ENG205 | Programming in C | 2-0-2-3 | ENG105 |
| 2 | ENG206 | Communication Skills | 2-0-0-2 | - |
| 3 | ENG301 | Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Engineering Mechanics | 3-1-0-4 | - |
| 3 | ENG303 | Materials Science | 3-1-0-4 | - |
| 3 | ENG304 | Electronic Devices | 3-1-0-4 | - |
| 3 | ENG305 | Data Structures & Algorithms | 2-0-2-3 | ENG205 |
| 3 | ENG306 | Engineering Ethics | 2-0-0-2 | - |
| 4 | ENG401 | Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Mechanics of Solids | 3-1-0-4 | ENG302 |
| 4 | ENG403 | Thermodynamics | 3-1-0-4 | - |
| 4 | ENG404 | Electrical Circuits & Networks | 3-1-0-4 | ENG204 |
| 4 | ENG405 | Database Management Systems | 2-0-2-3 | ENG305 |
| 4 | ENG406 | Environmental Science | 2-0-0-2 | - |
| 5 | ENG501 | Control Systems | 3-1-0-4 | ENG404 |
| 5 | ENG502 | Fluid Mechanics | 3-1-0-4 | - |
| 5 | ENG503 | Signals & Systems | 3-1-0-4 | - |
| 5 | ENG504 | Computer Architecture | 2-0-2-3 | ENG305 |
| 5 | ENG505 | Digital Logic Design | 2-0-2-3 | - |
| 5 | ENG506 | Project Management | 2-0-0-2 | - |
| 6 | ENG601 | Machine Learning | 3-1-0-4 | ENG503 |
| 6 | ENG602 | Power Electronics | 3-1-0-4 | - |
| 6 | ENG603 | Structural Analysis | 3-1-0-4 | - |
| 6 | ENG604 | Wireless Communication | 2-0-2-3 | ENG503 |
| 6 | ENG605 | Software Engineering | 2-0-2-3 | ENG405 |
| 6 | ENG606 | Entrepreneurship | 2-0-0-2 | - |
| 7 | ENG701 | Advanced Machine Learning | 3-1-0-4 | ENG601 |
| 7 | ENG702 | Renewable Energy Systems | 3-1-0-4 | - |
| 7 | ENG703 | Advanced Structural Design | 3-1-0-4 | ENG603 |
| 7 | ENG704 | Embedded Systems | 2-0-2-3 | - |
| 7 | ENG705 | Human Resource Management | 2-0-0-2 | - |
| 7 | ENG706 | Capstone Project I | 2-0-4-5 | - |
| 8 | ENG801 | Advanced Control Systems | 3-1-0-4 | ENG501 |
| 8 | ENG802 | Smart Grid Technologies | 3-1-0-4 | - |
| 8 | ENG803 | Advanced Power Systems | 3-1-0-4 | - |
| 8 | ENG804 | Research Methodology | 2-0-0-2 | - |
| 8 | ENG805 | Capstone Project II | 2-0-6-7 | ENG706 |
| 8 | ENG806 | Industrial Training | 0-0-0-4 | - |
Advanced Machine Learning: This course builds upon foundational knowledge in machine learning to explore advanced topics such as reinforcement learning, deep neural networks, and unsupervised learning techniques. Students will gain hands-on experience with frameworks like TensorFlow and PyTorch while working on real-world datasets.
Renewable Energy Systems: The course examines solar photovoltaic systems, wind turbines, hydroelectric power generation, and energy storage technologies. Students learn to model renewable systems, evaluate performance metrics, and design integrated solutions for sustainable energy applications.
Advanced Structural Design: This advanced course focuses on the structural analysis of complex buildings and bridges under dynamic loads. Students engage in computational modeling using finite element methods and explore earthquake-resistant construction techniques.
Embedded Systems: This elective introduces students to microcontroller-based systems, real-time operating systems, and embedded software development. The curriculum includes practical labs involving Arduino and Raspberry Pi platforms, preparing students for careers in IoT and robotics.
Human Resource Management: Designed for engineering graduates seeking leadership roles, this course covers recruitment strategies, team building, performance management, and organizational behavior. It enhances soft skills essential for career progression.
Capstone Project I: Students begin their final-year project under faculty supervision, identifying a problem statement, conducting literature reviews, and proposing initial solutions. This phase emphasizes planning, research methodology, and presentation skills.
Advanced Control Systems: This course delves into modern control theory including state-space representation, optimal control, and robust control design. Students apply these concepts to robotics, aerospace systems, and industrial automation.
Smart Grid Technologies: The course explores smart grid components such as smart meters, demand response systems, and distributed energy resources. Students learn to integrate renewable sources into existing power grids and analyze system stability.
Advanced Power Systems: Focused on advanced topics in electrical power systems, this course covers power system dynamics, fault analysis, and protection schemes. Students gain expertise in planning and operating large-scale power networks.
Research Methodology: This foundational course equips students with research tools and techniques necessary for thesis writing. Topics include hypothesis formulation, data collection, statistical analysis, and ethical considerations in engineering research.
Capstone Project II: In the final semester, students execute their capstone project, applying integrated knowledge to solve a complex engineering challenge. The course culminates in a formal presentation and submission of a comprehensive report.
Industrial Training: Students undertake a structured internship at an industry partner, gaining exposure to actual engineering practices, workplace culture, and professional environments. This experience reinforces classroom learning and enhances employability.
The department strongly believes in project-based learning as the most effective method to prepare students for real-world challenges. Projects are designed to reflect industry requirements and encourage innovation, creativity, and teamwork.
The mandatory mini-projects in semesters 5 and 7 provide students with early exposure to practical engineering problems. These projects involve team collaboration, design thinking, and iterative development cycles. Students work closely with faculty mentors who guide them through the process.
For the final-year thesis/capstone project, students select a topic aligned with their interests or industry needs. The project spans two semesters, allowing ample time for research, experimentation, and documentation. Regular progress reviews ensure timely completion and quality outcomes.
Faculty mentors are assigned based on student preferences and expertise areas. Students also have the opportunity to collaborate with external organizations, enhancing the relevance and impact of their work.
