Curriculum Overview
The engineering curriculum at Marwadi University Rajkot is meticulously designed to provide a balanced blend of theoretical knowledge and practical application. The program spans eight semesters, with each semester carefully structured to ensure progressive learning and specialization.
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MATH101 | Mathematics I | 4-0-0-4 | - |
| 1 | PHYS101 | Physics I | 3-0-0-3 | - |
| 1 | CHEM101 | Chemistry I | 3-0-0-3 | - |
| 1 | EG101 | Engineering Graphics | 2-0-0-2 | - |
| 1 | CP101 | Introduction to Programming | 3-0-0-3 | - |
| 1 | ME101 | Basic Mechanics | 3-0-0-3 | - |
| 2 | MATH201 | Mathematics II | 4-0-0-4 | MATH101 |
| 2 | PHYS201 | Physics II | 3-0-0-3 | PHYS101 |
| 2 | CHEM201 | Chemistry II | 3-0-0-3 | CHEM101 |
| 2 | EG201 | Electrical Circuits | 3-0-0-3 | - |
| 2 | CP201 | Data Structures & Algorithms | 3-0-0-3 | CP101 |
| 2 | ME201 | Mechanics of Materials | 3-0-0-3 | ME101 |
| 3 | MATH301 | Mathematics III | 4-0-0-4 | MATH201 |
| 3 | PHYS301 | Physics III | 3-0-0-3 | PHYS201 |
| 3 | CP301 | Database Management Systems | 3-0-0-3 | CP201 |
| 3 | EG301 | Digital Electronics | 3-0-0-3 | - |
| 3 | ME301 | Thermodynamics | 3-0-0-3 | ME201 |
| 3 | CIVIL301 | Structural Analysis | 3-0-0-3 | - |
| 4 | MATH401 | Mathematics IV | 4-0-0-4 | MATH301 |
| 4 | CP401 | Operating Systems | 3-0-0-3 | CP301 |
| 4 | EG401 | Signals & Systems | 3-0-0-3 | - |
| 4 | ME401 | Mechanics of Fluids | 3-0-0-3 | ME301 |
| 4 | CIVIL401 | Geotechnical Engineering | 3-0-0-3 | CIVIL301 |
| 5 | CP501 | Software Engineering | 3-0-0-3 | CP401 |
| 5 | EG501 | Control Systems | 3-0-0-3 | - |
| 5 | ME501 | Mechatronics | 3-0-0-3 | ME401 |
| 5 | CIVIL501 | Transportation Engineering | 3-0-0-3 | CIVIL401 |
| 6 | CP601 | Machine Learning | 3-0-0-3 | CP501 |
| 6 | EG601 | Electromagnetic Fields | 3-0-0-3 | - |
| 6 | ME601 | Design of Machine Elements | 3-0-0-3 | ME501 |
| 6 | CIVIL601 | Environmental Engineering | 3-0-0-3 | - |
| 7 | CP701 | Embedded Systems | 3-0-0-3 | CP601 |
| 7 | EG701 | Power Electronics | 3-0-0-3 | - |
| 7 | ME701 | Advanced Manufacturing Processes | 3-0-0-3 | ME601 |
| 7 | CIVIL701 | Water Resources Engineering | 3-0-0-3 | CIVIL601 |
| 8 | CP801 | Capstone Project | 4-0-0-4 | - |
| 8 | EG801 | Final Year Project | 4-0-0-4 | - |
| 8 | ME801 | Industrial Engineering | 3-0-0-3 | ME701 |
| 8 | CIVIL801 | Construction Management | 3-0-0-3 | CIVIL701 |
Advanced Departmental Electives
The advanced departmental elective courses offered at Marwadi University Rajkot are designed to enhance specialization and provide in-depth knowledge relevant to emerging industry trends. Here are some of the key courses:
1. Machine Learning
This course covers supervised and unsupervised learning techniques, neural networks, deep learning architectures, reinforcement learning, and natural language processing. Students gain hands-on experience with tools like TensorFlow, PyTorch, and scikit-learn.
2. Cybersecurity & Ethical Hacking
Students explore network security protocols, cryptography, vulnerability assessment, penetration testing, and secure coding practices. The course includes lab sessions on real-world scenarios to develop practical skills.
3. Renewable Energy Systems
This elective focuses on solar photovoltaics, wind energy conversion systems, energy storage technologies, smart grid integration, and environmental impact assessments. Projects include designing small-scale renewable energy solutions.
4. Advanced Control Systems
Students study advanced control theory, state-space modeling, optimal control, adaptive control, and robust control techniques. Applications include robotics, aerospace systems, and industrial automation.
5. Biomedical Instrumentation
This course introduces students to medical devices, signal processing in biomedicine, bio-sensors, and diagnostic equipment. Practical sessions involve building simple biomedical instruments and analyzing physiological signals.
6. Industrial Automation & PLC Programming
The course covers programmable logic controllers (PLCs), industrial networks, SCADA systems, and automation design principles. Students work on real-time projects involving manufacturing processes.
7. Data Analytics for Engineering Applications
This elective teaches statistical methods, data visualization, predictive modeling, and machine learning techniques applied to engineering problems. Real-world datasets from various industries are used for analysis.
8. Sustainable Urban Planning & Design
Students learn about sustainable development practices, green building design, urban infrastructure planning, and environmental impact mitigation strategies. Projects include designing eco-friendly neighborhoods and transportation systems.
9. Materials Science & Engineering
This course explores the structure-property relationships of materials, composite materials, nanomaterials, and advanced manufacturing techniques. Laboratory experiments involve material characterization and testing.
10. Internet of Things (IoT) and Smart Devices
Students study IoT architecture, sensor networks, embedded systems programming, wireless communication protocols, and smart city applications. Hands-on projects include developing IoT-based solutions for agriculture, healthcare, and home automation.
Project-Based Learning Philosophy
The department believes in project-based learning as a core pedagogical approach that encourages active engagement, critical thinking, and innovation. Students are expected to work on both individual and group projects throughout their academic journey.
The mini-projects (first year) are designed to reinforce foundational concepts through practical experimentation and small-scale implementations. The final-year capstone project is a comprehensive endeavor that integrates all learned knowledge and skills into an innovative solution addressing a real-world challenge.
Students select their projects based on personal interest, faculty availability, and industry relevance. Faculty mentors guide the process from initial concept development to final implementation and documentation. Evaluation criteria include feasibility, innovation, technical depth, teamwork, and presentation quality.