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Fees
₹12,00,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,00,000
Fees
₹12,00,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,00,000
Seats
500
Students
2,500
Seats
500
Students
2,500
The curriculum at Rungta International Skills University Durg is designed to provide a balanced and comprehensive education in engineering, combining theoretical knowledge with practical application and industry exposure. The program is structured over eight semesters, with a progressive increase in complexity and specialization. The curriculum is regularly updated based on feedback from industry partners and academic experts to ensure relevance and alignment with current trends.
| Semester | Course Code | Course Title | Course Type | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | Core | 3-1-0-4 | None |
| 1 | ENG102 | Engineering Physics | Core | 3-1-0-4 | None |
| 1 | ENG103 | Engineering Chemistry | Core | 3-1-0-4 | None |
| 1 | ENG104 | Basic Electrical Engineering | Core | 3-1-0-4 | None |
| 1 | ENG105 | Introduction to Programming | Core | 3-1-0-4 | None |
| 1 | ENG106 | Engineering Graphics | Core | 2-1-0-3 | None |
| 1 | ENG107 | Workshop Practice | Core | 0-0-2-2 | None |
| 2 | ENG201 | Engineering Mathematics II | Core | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Engineering Mechanics | Core | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Electromagnetic Fields | Core | 3-1-0-4 | ENG104 |
| 2 | ENG204 | Signals and Systems | Core | 3-1-0-4 | ENG105 |
| 2 | ENG205 | Data Structures and Algorithms | Core | 3-1-0-4 | ENG105 |
| 2 | ENG206 | Computer Organization | Core | 3-1-0-4 | ENG105 |
| 2 | ENG207 | Engineering Materials | Core | 3-1-0-4 | ENG103 |
| 2 | ENG208 | Workshop Practice II | Core | 0-0-2-2 | ENG107 |
| 3 | ENG301 | Engineering Mathematics III | Core | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Thermodynamics | Core | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Control Systems | Core | 3-1-0-4 | ENG204 |
| 3 | ENG304 | Digital Electronics | Core | 3-1-0-4 | ENG203 |
| 3 | ENG305 | Database Management Systems | Core | 3-1-0-4 | ENG205 |
| 3 | ENG306 | Electrical Machines | Core | 3-1-0-4 | ENG203 |
| 3 | ENG307 | Strength of Materials | Core | 3-1-0-4 | ENG202 |
| 3 | ENG308 | Workshop Practice III | Core | 0-0-2-2 | ENG208 |
| 4 | ENG401 | Engineering Mathematics IV | Core | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Heat Transfer | Core | 3-1-0-4 | ENG302 |
| 4 | ENG403 | Microprocessors | Core | 3-1-0-4 | ENG304 |
| 4 | ENG404 | Operating Systems | Core | 3-1-0-4 | ENG205 |
| 4 | ENG405 | Computer Networks | Core | 3-1-0-4 | ENG205 |
| 4 | ENG406 | Power Electronics | Core | 3-1-0-4 | ENG306 |
| 4 | ENG407 | Design of Structures | Core | 3-1-0-4 | ENG307 |
| 4 | ENG408 | Workshop Practice IV | Core | 0-0-2-2 | ENG308 |
| 5 | ENG501 | Advanced Mathematics | Core | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Fluid Mechanics | Core | 3-1-0-4 | ENG302 |
| 5 | ENG503 | Embedded Systems | Core | 3-1-0-4 | ENG403 |
| 5 | ENG504 | Software Engineering | Core | 3-1-0-4 | ENG404 |
| 5 | ENG505 | Machine Learning | Core | 3-1-0-4 | ENG405 |
| 5 | ENG506 | Power Systems | Core | 3-1-0-4 | ENG306 |
| 5 | ENG507 | Structural Analysis | Core | 3-1-0-4 | ENG407 |
| 5 | ENG508 | Workshop Practice V | Core | 0-0-2-2 | ENG408 |
| 6 | ENG601 | Advanced Control Systems | Core | 3-1-0-4 | ENG303 |
| 6 | ENG602 | Advanced Thermodynamics | Core | 3-1-0-4 | ENG402 |
| 6 | ENG603 | Neural Networks | Core | 3-1-0-4 | ENG505 |
| 6 | ENG604 | Advanced Database Systems | Core | 3-1-0-4 | ENG305 |
| 6 | ENG605 | Advanced Power Electronics | Core | 3-1-0-4 | ENG406 |
| 6 | ENG606 | Advanced Structural Design | Core | 3-1-0-4 | ENG507 |
| 6 | ENG607 | Workshop Practice VI | Core | 0-0-2-2 | ENG508 |
| 7 | ENG701 | Research Methodology | Core | 3-1-0-4 | None |
| 7 | ENG702 | Project Management | Core | 3-1-0-4 | None |
| 7 | ENG703 | Advanced Electives I | Departmental Elective | 3-1-0-4 | None |
| 7 | ENG704 | Advanced Electives II | Departmental Elective | 3-1-0-4 | None |
| 7 | ENG705 | Advanced Electives III | Departmental Elective | 3-1-0-4 | None |
| 7 | ENG706 | Advanced Electives IV | Departmental Elective | 3-1-0-4 | None |
| 7 | ENG707 | Workshop Practice VII | Core | 0-0-2-2 | ENG607 |
| 8 | ENG801 | Final Year Project | Core | 0-0-8-12 | None |
| 8 | ENG802 | Internship | Core | 0-0-0-6 | None |
| 8 | ENG803 | Capstone Project | Core | 0-0-8-12 | None |
| 8 | ENG804 | Elective Courses | Elective | 3-1-0-4 | None |
Advanced departmental electives are designed to provide students with specialized knowledge in their chosen fields. These courses are offered in the later semesters and are tailored to meet the demands of the industry and emerging trends in engineering.
This course provides an in-depth understanding of machine learning algorithms and their applications. Students will learn about supervised and unsupervised learning, neural networks, deep learning, and reinforcement learning. The course includes hands-on projects and real-world applications, preparing students for careers in AI and data science.
This course explores the principles and applications of neural networks, including feedforward networks, convolutional networks, and recurrent networks. Students will gain practical experience in designing and training neural networks using frameworks like TensorFlow and PyTorch.
This course covers advanced topics in control systems, including state-space representation, optimal control, and robust control. Students will learn to design and analyze control systems for complex engineering applications.
This course delves into advanced thermodynamic concepts, including thermodynamic cycles, refrigeration, and gas dynamics. Students will explore real-world applications and develop skills in thermodynamic analysis and design.
This course provides a comprehensive overview of embedded systems, including microcontroller architecture, real-time operating systems, and embedded software development. Students will gain practical experience in designing and implementing embedded systems.
This course covers advanced topics in database systems, including query optimization, transaction management, and distributed databases. Students will learn to design and implement efficient database systems for large-scale applications.
This course explores advanced power electronics circuits and systems, including power converters, inverters, and motor drives. Students will gain practical experience in designing and analyzing power electronic systems.
This course focuses on advanced structural design principles, including seismic design, wind load analysis, and structural optimization. Students will learn to design structures that can withstand various environmental loads.
This course covers advanced topics in electrical machines, including synchronous and induction machines, transformers, and special-purpose machines. Students will gain in-depth knowledge of machine design and analysis.
This course explores advanced fluid mechanics concepts, including turbulence, boundary layer theory, and computational fluid dynamics. Students will learn to analyze and design fluid systems for various applications.
This course covers advanced topics in computer networks, including network security, wireless networks, and network protocols. Students will gain practical experience in designing and managing complex network systems.
The department emphasizes project-based learning as a core component of the engineering education. This approach ensures that students gain hands-on experience and develop practical skills that are essential for their future careers. The project-based learning model includes both mini-projects and a final-year thesis, providing students with a comprehensive understanding of engineering principles and their applications.
Mini-projects are assigned in the early semesters to help students apply theoretical concepts to practical problems. These projects are typically completed in groups and are evaluated based on technical content, presentation, and teamwork. The projects are designed to be challenging yet achievable, allowing students to build confidence and develop problem-solving skills.
The final-year thesis or capstone project is a significant component of the program, providing students with an opportunity to work on a comprehensive engineering problem. Students work closely with faculty mentors to select a project topic, develop a research plan, and execute the project. The project is evaluated based on originality, technical depth, and presentation quality. The capstone project often leads to publications or patents, providing students with a strong foundation for their future careers.
Students are encouraged to select projects that align with their interests and career goals. The department provides a wide range of project topics, including industry-sponsored projects, research projects, and innovation challenges. Faculty mentors are assigned based on the student's project topic and expertise, ensuring that students receive guidance and support throughout their project journey.
