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Fees
₹4,50,000
Placement
92.0%
Avg Package
₹6,50,000
Highest Package
₹12,00,000
Fees
₹4,50,000
Placement
92.0%
Avg Package
₹6,50,000
Highest Package
₹12,00,000
Seats
150
Students
1,200
Seats
150
Students
1,200
The curriculum for the Engineering program at Shri Krishna University Chhatarpur is designed to provide students with a strong foundation in engineering principles, followed by specialized knowledge in their chosen field. The program is structured over 8 semesters, with each semester consisting of core courses, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | ENG102 | Physics for Engineers | 3-1-0-4 | None |
| 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | None |
| 1 | ENG104 | Introduction to Engineering | 2-0-0-2 | None |
| 1 | ENG105 | Programming and Problem Solving | 3-1-0-4 | None |
| 1 | ENG106 | Engineering Drawing and Design | 2-0-0-2 | None |
| 1 | ENG107 | Workshop Practice | 0-0-3-1 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Electrical Circuits and Machines | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Materials Science and Metallurgy | 3-1-0-4 | ENG103 |
| 2 | ENG204 | Thermodynamics and Heat Transfer | 3-1-0-4 | ENG102 |
| 2 | ENG205 | Engineering Mechanics | 3-1-0-4 | ENG101 |
| 2 | ENG206 | Computer Programming | 3-1-0-4 | ENG105 |
| 2 | ENG207 | Lab Session - Engineering Workshop | 0-0-3-1 | ENG107 |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Signals and Systems | 3-1-0-4 | ENG201 |
| 3 | ENG303 | Control Systems | 3-1-0-4 | ENG202 |
| 3 | ENG304 | Design and Analysis of Algorithms | 3-1-0-4 | ENG206 |
| 3 | ENG305 | Electromagnetic Fields and Waves | 3-1-0-4 | ENG202 |
| 3 | ENG306 | Strength of Materials | 3-1-0-4 | ENG205 |
| 3 | ENG307 | Lab Session - Electronics and Communication | 0-0-3-1 | ENG205 |
| 4 | ENG401 | Probability and Statistics | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Microprocessors and Microcontrollers | 3-1-0-4 | ENG302 |
| 4 | ENG403 | Power Electronics and Drives | 3-1-0-4 | ENG202 |
| 4 | ENG404 | Computer Architecture | 3-1-0-4 | ENG206 |
| 4 | ENG405 | Fluid Mechanics | 3-1-0-4 | ENG204 |
| 4 | ENG406 | Structural Analysis | 3-1-0-4 | ENG306 |
| 4 | ENG407 | Lab Session - Power Systems | 0-0-3-1 | ENG303 |
| 5 | ENG501 | Advanced Mathematics | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Artificial Intelligence | 3-1-0-4 | ENG404 |
| 5 | ENG503 | Machine Learning | 3-1-0-4 | ENG401 |
| 5 | ENG504 | Advanced Control Systems | 3-1-0-4 | ENG303 |
| 5 | ENG505 | Advanced Thermodynamics | 3-1-0-4 | ENG204 |
| 5 | ENG506 | Advanced Structural Design | 3-1-0-4 | ENG306 |
| 5 | ENG507 | Lab Session - Advanced Projects | 0-0-3-1 | ENG407 |
| 6 | ENG601 | Research Methodology | 3-1-0-4 | ENG501 |
| 6 | ENG602 | Advanced Data Structures | 3-1-0-4 | ENG404 |
| 6 | ENG603 | Embedded Systems | 3-1-0-4 | ENG402 |
| 6 | ENG604 | Advanced Power Systems | 3-1-0-4 | ENG403 |
| 6 | ENG605 | Advanced Fluid Dynamics | 3-1-0-4 | ENG405 |
| 6 | ENG606 | Advanced Materials | 3-1-0-4 | ENG303 |
| 6 | ENG607 | Lab Session - Industry Projects | 0-0-3-1 | ENG507 |
| 7 | ENG701 | Capstone Project I | 3-1-0-4 | ENG601 |
| 7 | ENG702 | Advanced Topics in AI | 3-1-0-4 | ENG502 |
| 7 | ENG703 | Advanced Cybersecurity | 3-1-0-4 | ENG404 |
| 7 | ENG704 | Advanced Renewable Energy | 3-1-0-4 | ENG505 |
| 7 | ENG705 | Advanced Biotechnology | 3-1-0-4 | ENG506 |
| 7 | ENG706 | Advanced Materials Science | 3-1-0-4 | ENG606 |
| 7 | ENG707 | Lab Session - Capstone Projects | 0-0-3-1 | ENG607 |
| 8 | ENG801 | Capstone Project II | 3-1-0-4 | ENG701 |
| 8 | ENG802 | Entrepreneurship and Innovation | 3-1-0-4 | ENG701 |
| 8 | ENG803 | Industrial Internship | 0-0-3-1 | ENG701 |
| 8 | ENG804 | Final Project Presentation | 0-0-3-1 | ENG801 |
| 8 | ENG805 | Professional Ethics and Communication | 3-1-0-4 | ENG701 |
| 8 | ENG806 | Research Thesis | 0-0-3-1 | ENG701 |
| 8 | ENG807 | Lab Session - Thesis Work | 0-0-3-1 | ENG806 |
The department offers a range of advanced elective courses that allow students to explore specialized areas of interest and develop expertise in their chosen fields. These courses are designed to provide students with in-depth knowledge and practical skills that are essential for success in the industry.
This course provides students with a comprehensive understanding of artificial intelligence concepts and techniques. It covers topics such as machine learning, deep learning, natural language processing, and computer vision. Students will learn to develop AI models and apply them to real-world problems. The course emphasizes both theoretical concepts and practical implementation, with hands-on projects and lab sessions.
This course focuses on the principles and applications of machine learning. Students will learn about supervised and unsupervised learning algorithms, neural networks, and deep learning techniques. The course includes practical projects that allow students to implement and evaluate machine learning models on real datasets. It also covers advanced topics such as reinforcement learning and transfer learning.
This course introduces students to the design and implementation of embedded systems. It covers topics such as microcontrollers, real-time operating systems, and hardware-software integration. Students will gain hands-on experience in developing embedded applications for various platforms. The course emphasizes practical implementation through lab sessions and project work.
This course provides students with advanced knowledge of cybersecurity principles and practices. It covers topics such as network security, cryptography, ethical hacking, and risk management. Students will learn to identify and mitigate security threats, and develop secure applications. The course includes hands-on labs and simulations to reinforce theoretical concepts.
This course focuses on the principles and applications of renewable energy technologies. It covers topics such as solar energy, wind power, and energy storage systems. Students will learn to design and analyze renewable energy systems, and evaluate their performance. The course includes practical projects that involve real-world applications and case studies.
This course explores the applications of biotechnology in various industries. It covers topics such as bioinformatics, synthetic biology, and bioprocess engineering. Students will learn to develop and apply biotechnology solutions to real-world problems. The course includes laboratory sessions and research projects to provide hands-on experience.
This course provides students with an in-depth understanding of advanced materials and their applications. It covers topics such as nanomaterials, composite materials, and smart materials. Students will learn to characterize and design materials for specific applications. The course includes laboratory sessions and projects that involve real-world materials and applications.
This course focuses on the principles and applications of power systems. It covers topics such as power generation, transmission, and distribution. Students will learn to analyze and design power systems, and evaluate their performance. The course includes practical projects and simulations to reinforce theoretical concepts.
This course provides students with a comprehensive understanding of fluid dynamics and its applications. It covers topics such as fluid flow, turbulence, and heat transfer. Students will learn to analyze and model fluid systems, and apply this knowledge to real-world problems. The course includes laboratory sessions and computational projects to provide hands-on experience.
This course focuses on advanced thermodynamic principles and their applications. It covers topics such as thermodynamic cycles, phase equilibrium, and thermodynamic properties. Students will learn to analyze and optimize thermodynamic systems, and apply this knowledge to real-world problems. The course includes practical projects and simulations to reinforce theoretical concepts.
The department's philosophy on project-based learning is rooted in the belief that hands-on experience is essential for developing practical skills and deepening understanding. Projects are designed to simulate real-world engineering challenges, encouraging students to think critically, collaborate effectively, and apply their knowledge in meaningful ways.
Mini-projects are assigned in the second and third years of the program. These projects are designed to be manageable yet challenging, allowing students to apply concepts learned in class to practical problems. Each mini-project is guided by a faculty member and includes milestones and deliverables that help students track their progress. The projects are evaluated based on technical content, presentation, and teamwork.
The final-year thesis or capstone project is a significant component of the program, designed to provide students with an opportunity to conduct independent research or develop a comprehensive solution to a complex engineering problem. Students work closely with a faculty mentor to define their project scope, conduct research, and develop a final deliverable. The project is evaluated based on originality, technical depth, and presentation.
Students are encouraged to select projects that align with their interests and career goals. The department provides a list of potential project topics, and students can also propose their own ideas. Faculty mentors are assigned based on the project topic and the mentor's expertise. The mentorship process includes regular meetings, feedback, and guidance throughout the project duration.
