Comprehensive Course Structure
The engineering program at Sanjay Ghodawat University Kolhapur is structured to provide students with a comprehensive academic experience that balances theoretical knowledge with practical application. The curriculum spans eight semesters and includes core courses, departmental electives, science electives, and laboratory sessions designed to build technical expertise and innovation skills.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Physics for Engineers | 3-1-0-4 | - |
| 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | ENG104 | Introduction to Engineering | 2-0-0-2 | - |
| 1 | ENG105 | Programming and Problem Solving | 3-1-0-4 | - |
| 1 | ENG106 | Engineering Graphics | 2-1-0-3 | - |
| 1 | ENG107 | Workshop Practice | 0-0-2-1 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Electrical Circuits and Networks | 3-1-0-4 | - |
| 2 | ENG203 | Mechanics of Materials | 3-1-0-4 | - |
| 2 | ENG204 | Engineering Thermodynamics | 3-1-0-4 | - |
| 2 | ENG205 | Fluid Mechanics | 3-1-0-4 | - |
| 2 | ENG206 | Materials Science | 3-1-0-4 | - |
| 2 | ENG207 | Computer Programming Lab | 0-0-2-1 | ENG105 |
| 3 | ENG301 | Signals and Systems | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Digital Logic Design | 3-1-0-4 | - |
| 3 | ENG303 | Control Systems | 3-1-0-4 | ENG201 |
| 3 | ENG304 | Electromagnetic Fields | 3-1-0-4 | - |
| 3 | ENG305 | Strength of Materials | 3-1-0-4 | ENG203 |
| 3 | ENG306 | Manufacturing Processes | 3-1-0-4 | - |
| 3 | ENG307 | Electrical Machines Lab | 0-0-2-1 | ENG202 |
| 4 | ENG401 | Probability and Statistics | 3-1-0-4 | ENG201 |
| 4 | ENG402 | Communication Systems | 3-1-0-4 | ENG301 |
| 4 | ENG403 | Microprocessors and Microcontrollers | 3-1-0-4 | - |
| 4 | ENG404 | Structural Analysis | 3-1-0-4 | ENG203 |
| 4 | ENG405 | Heat Transfer | 3-1-0-4 | ENG204 |
| 4 | ENG406 | Design of Machine Elements | 3-1-0-4 | ENG305 |
| 4 | ENG407 | Computer Architecture Lab | 0-0-2-1 | ENG302 |
| 5 | ENG501 | Advanced Mathematics | 3-1-0-4 | ENG201 |
| 5 | ENG502 | Computer Networks | 3-1-0-4 | - |
| 5 | ENG503 | Power Systems | 3-1-0-4 | - |
| 5 | ENG504 | Structural Design | 3-1-0-4 | ENG404 |
| 5 | ENG505 | Refrigeration and Air Conditioning | 3-1-0-4 | - |
| 5 | ENG506 | Advanced Manufacturing Processes | 3-1-0-4 | ENG306 |
| 5 | ENG507 | Power Electronics Lab | 0-0-2-1 | ENG202 |
| 6 | ENG601 | Artificial Intelligence and Machine Learning | 3-1-0-4 | - |
| 6 | ENG602 | Cybersecurity Fundamentals | 3-1-0-4 | - |
| 6 | ENG603 | Sustainable Energy Systems | 3-1-0-4 | - |
| 6 | ENG604 | Biomedical Engineering | 3-1-0-4 | - |
| 6 | ENG605 | Nanotechnology and Materials Science | 3-1-0-4 | - |
| 6 | ENG606 | Robotics and Automation | 3-1-0-4 | - |
| 6 | ENG607 | Advanced Control Systems Lab | 0-0-2-1 | ENG303 |
| 7 | ENG701 | Capstone Project I | 2-0-4-6 | - |
| 7 | ENG702 | Specialized Elective Course 1 | 3-1-0-4 | - |
| 7 | ENG703 | Specialized Elective Course 2 | 3-1-0-4 | - |
| 7 | ENG704 | Research Methodology | 2-0-0-2 | - |
| 7 | ENG705 | Professional Ethics and Social Responsibility | 2-0-0-2 | - |
| 8 | ENG801 | Capstone Project II | 4-0-6-10 | ENG701 |
| 8 | ENG802 | Specialized Elective Course 3 | 3-1-0-4 | - |
| 8 | ENG803 | Specialized Elective Course 4 | 3-1-0-4 | - |
| 8 | ENG804 | Industrial Training | 0-0-0-6 | - |
| 8 | ENG805 | Final Year Project | 0-0-6-12 | ENG701 |
Advanced Departmental Elective Courses
The advanced departmental elective courses offered in the engineering program at Sanjay Ghodawat University Kolhapur are designed to provide students with specialized knowledge and skills in emerging technologies. These courses are taught by leading faculty members who are experts in their respective fields.
Artificial Intelligence and Machine Learning (AI/ML) is a cutting-edge field that combines statistics, computer science, and domain expertise to develop intelligent systems. This course covers topics such as neural networks, deep learning, natural language processing, computer vision, and reinforcement learning. Students will work on projects involving real-world applications such as image recognition, speech synthesis, and autonomous systems.
Cybersecurity Fundamentals introduces students to the principles and practices of information security. The course covers network security, cryptography, system security, and ethical hacking. Students will gain hands-on experience with security tools and techniques used in industry.
Sustainable Energy Systems explores renewable energy technologies such as solar, wind, hydroelectric, and geothermal power generation. Students will study the design and optimization of energy systems, energy storage technologies, and environmental impact assessment methods.
Biomedical Engineering combines engineering principles with medical and biological sciences to design healthcare solutions. This course covers topics such as medical device design, biomechanics, tissue engineering, and bioinformatics. Students will work on projects involving the development of assistive devices and health monitoring systems.
Nanotechnology and Materials Science focuses on the study of materials at the atomic and molecular level. The course covers nanomaterial synthesis, characterization techniques, and applications in electronics, medicine, and environmental remediation.
Robotics and Automation deals with the design and implementation of robotic systems for industrial and commercial applications. Students will study control systems, sensor integration, autonomous navigation, and machine learning applications in robotics.
Advanced Control Systems covers advanced topics in control theory and its applications in engineering systems. The course includes state-space analysis, optimal control, robust control, and adaptive control techniques.
Power Electronics and Drives introduces students to power conversion systems and motor drives. The course covers rectifiers, inverters, DC-DC converters, and motor control strategies.
Data Structures and Algorithms is a fundamental course that covers advanced data structures such as trees, graphs, hash tables, and algorithms for sorting, searching, and optimization.
Software Engineering Principles focuses on the systematic approach to software development including requirements analysis, design patterns, testing, and project management.
Advanced Thermodynamics and Heat Transfer covers advanced concepts in thermodynamic cycles, heat transfer mechanisms, and their applications in engineering systems.
Advanced Fluid Mechanics explores complex fluid flow phenomena, turbulence modeling, and computational fluid dynamics.
Structural Dynamics and Vibrations deals with the analysis of dynamic loads on structures and vibration control techniques.
Environmental Impact Assessment teaches students how to evaluate the environmental consequences of engineering projects and develop sustainable solutions.
Advanced Manufacturing Processes covers emerging manufacturing technologies such as 3D printing, laser cutting, and precision machining.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that hands-on experience is essential for developing practical engineering skills. This approach emphasizes the integration of theoretical knowledge with real-world applications, preparing students to tackle complex challenges they will encounter in their professional careers.
Mini-projects are undertaken during the third and fourth years of the program. These projects provide students with opportunities to apply concepts learned in coursework to practical problems. Each mini-project is typically completed over a period of 8-12 weeks and involves working in teams of 3-5 students. The projects are supervised by faculty members who guide students through the process of problem identification, design, implementation, and documentation.
Final-year thesis/capstone projects represent the culmination of the undergraduate engineering experience. Students select a research topic or industrial challenge that aligns with their interests and career goals. The capstone project involves extensive literature review, experimental work, data analysis, and presentation of findings. Students are required to defend their work in front of a panel of faculty members and industry experts.
Students select projects based on their interests, availability of faculty mentors, and alignment with industry needs. The department maintains a database of potential project topics that are updated regularly based on emerging trends and industry feedback. Faculty members play a crucial role in guiding students through the selection process and providing mentorship throughout the project duration.
The evaluation criteria for projects include technical competence, innovation, teamwork, presentation skills, and documentation quality. Students are assessed through peer evaluations, faculty reviews, and final presentations. The department also encourages students to publish their research findings in academic journals or present at conferences to enhance their professional profiles.