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Fees
₹2,50,000
Placement
95.0%
Avg Package
₹6,50,000
Highest Package
₹12,00,000
Fees
₹2,50,000
Placement
95.0%
Avg Package
₹6,50,000
Highest Package
₹12,00,000
Seats
120
Students
1,200
Seats
120
Students
1,200
The engineering program at Shri Rawatpura Sarkar University Raipur is structured over 8 semesters, with a carefully designed curriculum that balances foundational sciences, core engineering principles, and advanced specializations. The curriculum is aligned with industry standards and global best practices, ensuring that students are equipped with the latest knowledge and skills required in the engineering domain.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | ENG102 | Engineering Physics | 3-1-0-4 | None |
| 1 | ENG103 | Engineering Chemistry | 3-1-0-4 | None |
| 1 | ENG104 | Computer Programming | 2-1-0-3 | None |
| 1 | ENG105 | Engineering Drawing | 2-1-0-3 | None |
| 1 | ENG106 | Workshop Practice | 0-0-2-2 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Electrical Circuits and Networks | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Engineering Mechanics | 3-1-0-4 | ENG102 |
| 2 | ENG204 | Thermodynamics | 3-1-0-4 | ENG102 |
| 2 | ENG205 | Fluid Mechanics | 3-1-0-4 | ENG102 |
| 2 | ENG206 | Material Science | 3-1-0-4 | ENG103 |
| 3 | ENG301 | Signals and Systems | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Control Systems | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Electromagnetic Fields | 3-1-0-4 | ENG202 |
| 3 | ENG304 | Power Electronics | 3-1-0-4 | ENG202 |
| 3 | ENG305 | Engineering Design | 2-1-0-3 | ENG203 |
| 3 | ENG306 | Computer Architecture | 3-1-0-4 | ENG104 |
| 4 | ENG401 | Microprocessors and Microcontrollers | 3-1-0-4 | ENG306 |
| 4 | ENG402 | Communication Systems | 3-1-0-4 | ENG301 |
| 4 | ENG403 | Power Systems | 3-1-0-4 | ENG202 |
| 4 | ENG404 | Renewable Energy Systems | 3-1-0-4 | ENG204 |
| 4 | ENG405 | Structural Analysis | 3-1-0-4 | ENG203 |
| 4 | ENG406 | Biomedical Engineering | 3-1-0-4 | ENG206 |
| 5 | ENG501 | Artificial Intelligence | 3-1-0-4 | ENG301 |
| 5 | ENG502 | Machine Learning | 3-1-0-4 | ENG501 |
| 5 | ENG503 | Cybersecurity | 3-1-0-4 | ENG306 |
| 5 | ENG504 | Robotics | 3-1-0-4 | ENG401 |
| 5 | ENG505 | Materials Engineering | 3-1-0-4 | ENG206 |
| 5 | ENG506 | Environmental Engineering | 3-1-0-4 | ENG205 |
| 6 | ENG601 | Advanced Control Systems | 3-1-0-4 | ENG302 |
| 6 | ENG602 | Embedded Systems | 3-1-0-4 | ENG401 |
| 6 | ENG603 | Smart Grids | 3-1-0-4 | ENG403 |
| 6 | ENG604 | Neural Networks | 3-1-0-4 | ENG502 |
| 6 | ENG605 | Advanced Robotics | 3-1-0-4 | ENG504 |
| 6 | ENG606 | Advanced Materials | 3-1-0-4 | ENG505 |
| 7 | ENG701 | Capstone Project I | 0-0-4-4 | ENG501 |
| 7 | ENG702 | Capstone Project II | 0-0-4-4 | ENG701 |
| 7 | ENG703 | Research Methodology | 2-1-0-3 | ENG501 |
| 7 | ENG704 | Professional Ethics | 2-1-0-3 | None |
| 7 | ENG705 | Entrepreneurship | 2-1-0-3 | None |
| 7 | ENG706 | Industrial Training | 0-0-0-2 | None |
| 8 | ENG801 | Final Year Project | 0-0-6-6 | ENG701 |
| 8 | ENG802 | Internship | 0-0-0-4 | None |
| 8 | ENG803 | Advanced Electives | 3-1-0-4 | ENG501 |
| 8 | ENG804 | Advanced Electives | 3-1-0-4 | ENG502 |
| 8 | ENG805 | Advanced Electives | 3-1-0-4 | ENG504 |
| 8 | ENG806 | Advanced Electives | 3-1-0-4 | ENG505 |
Departmental electives in the engineering program at Shri Rawatpura Sarkar University Raipur are designed to provide students with in-depth knowledge in specialized areas. These courses are offered in the later semesters and are taught by faculty members with expertise in their respective fields.
This course explores the principles and applications of artificial intelligence, including machine learning, deep learning, natural language processing, and computer vision. Students will learn to build intelligent systems that can learn from data and make decisions autonomously. The course emphasizes practical implementation using tools like TensorFlow, PyTorch, and Python.
This advanced course delves into the algorithms and techniques used in machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Students will gain hands-on experience in developing and evaluating machine learning models using real-world datasets.
This course covers the fundamentals of cybersecurity, including network security, cryptography, ethical hacking, and risk management. Students will learn to identify vulnerabilities, protect systems, and respond to security incidents. The course includes practical exercises and simulations to enhance understanding.
This course introduces students to the design and programming of robots. Topics include robot kinematics, control systems, sensors, and automation. Students will work on hands-on projects to build and program robots for various applications.
This course explores the properties and applications of various materials, including metals, ceramics, polymers, and composites. Students will study material processing, characterization, and selection for specific applications.
This course addresses challenges in water treatment, waste management, and pollution control. Students will learn to design sustainable solutions for environmental problems and assess the environmental impact of engineering projects.
This course covers advanced topics in control systems, including state-space analysis, optimal control, and robust control. Students will learn to design and analyze control systems for complex engineering applications.
This course focuses on the design and programming of embedded systems, which are computer systems embedded within larger devices. Students will learn to develop software for microcontrollers and integrate hardware and software components.
This course explores the design and operation of smart grids, including power generation, transmission, and distribution. Students will study renewable energy integration, demand response, and grid stability.
This course delves into the theory and application of neural networks, including deep learning architectures, backpropagation, and optimization techniques. Students will implement neural networks using frameworks like TensorFlow and Keras.
This advanced course focuses on the design and development of advanced robotic systems, including autonomous robots, human-robot interaction, and swarm robotics. Students will work on research projects and competitions.
This course explores the latest developments in materials science, including nanomaterials, biomaterials, and smart materials. Students will study the synthesis, characterization, and applications of advanced materials.
The engineering program at Shri Rawatpura Sarkar University Raipur emphasizes project-based learning to ensure that students gain practical experience and develop problem-solving skills. The program includes mandatory mini-projects and a final-year thesis/capstone project.
Mini-projects are assigned in the third and fourth semesters, allowing students to apply theoretical concepts to real-world problems. These projects are evaluated based on design, implementation, and presentation. Students are encouraged to collaborate with peers and work under the guidance of faculty mentors.
The final-year thesis/capstone project is a comprehensive endeavor that spans the entire eighth semester. Students select a research topic or industry project under the supervision of a faculty mentor. The project involves extensive research, experimentation, and documentation. Students are expected to present their findings and defend their work in front of a panel of experts.
Project selection is done through a process that involves faculty mentorship, industry collaboration, and student interest. Students are encouraged to propose innovative ideas and work on projects that align with their career goals and specialization tracks.
