Comprehensive Course Structure
The engineering program at Rayat Bahra University Mohali is structured over eight semesters, with each semester comprising a carefully curated mix of core courses, departmental electives, science electives, and laboratory sessions. The curriculum is designed to provide students with a strong foundation in engineering principles while allowing flexibility for specialization and personal interest exploration.
| 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 Design | 2-0-2-3 | None |
| 1 | ENG105 | Programming and Problem Solving | 2-0-2-3 | None |
| 1 | ENG106 | Engineering Graphics | 2-0-2-3 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Electrical Circuits and Networks | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Thermodynamics | 3-1-0-4 | ENG102 |
| 2 | ENG204 | Fluid Mechanics | 3-1-0-4 | ENG102 |
| 2 | ENG205 | Materials Science | 3-1-0-4 | ENG103 |
| 2 | ENG206 | Engineering Mechanics | 3-1-0-4 | ENG101 |
| 3 | ENG301 | Signals and Systems | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Control Systems | 3-1-0-4 | ENG202 |
| 3 | ENG303 | Computer Architecture | 3-1-0-4 | ENG105 |
| 3 | ENG304 | Probability and Statistics | 3-1-0-4 | ENG201 |
| 3 | ENG305 | Design and Analysis of Algorithms | 3-1-0-4 | ENG105 |
| 3 | ENG306 | Engineering Economics | 3-1-0-4 | ENG201 |
| 4 | ENG401 | Advanced Mathematics | 3-1-0-4 | ENG201 |
| 4 | ENG402 | Power Electronics | 3-1-0-4 | ENG202 |
| 4 | ENG403 | Heat Transfer | 3-1-0-4 | ENG203 |
| 4 | ENG404 | Manufacturing Processes | 3-1-0-4 | ENG205 |
| 4 | ENG405 | Database Management Systems | 3-1-0-4 | ENG105 |
| 4 | ENG406 | Project Management | 3-1-0-4 | ENG306 |
| 5 | ENG501 | Machine Learning | 3-1-0-4 | ENG304 |
| 5 | ENG502 | Network Security | 3-1-0-4 | ENG202 |
| 5 | ENG503 | Renewable Energy Systems | 3-1-0-4 | ENG203 |
| 5 | ENG504 | Biomedical Instrumentation | 3-1-0-4 | ENG202 |
| 5 | ENG505 | Structural Analysis | 3-1-0-4 | ENG206 |
| 5 | ENG506 | Software Engineering | 3-1-0-4 | ENG305 |
| 6 | ENG601 | Advanced Control Systems | 3-1-0-4 | ENG302 |
| 6 | ENG602 | Embedded Systems | 3-1-0-4 | ENG303 |
| 6 | ENG603 | Smart Grid Technologies | 3-1-0-4 | ENG402 |
| 6 | ENG604 | Advanced Manufacturing | 3-1-0-4 | ENG404 |
| 6 | ENG605 | Data Mining and Analytics | 3-1-0-4 | ENG304 |
| 6 | ENG606 | Entrepreneurship | 3-1-0-4 | ENG406 |
| 7 | ENG701 | Research Methodology | 2-0-2-3 | ENG606 |
| 7 | ENG702 | Advanced Topics in AI | 3-1-0-4 | ENG501 |
| 7 | ENG703 | Cybersecurity Research | 3-1-0-4 | ENG502 |
| 7 | ENG704 | Energy Storage Systems | 3-1-0-4 | ENG503 |
| 7 | ENG705 | Medical Device Design | 3-1-0-4 | ENG504 |
| 7 | ENG706 | Structural Dynamics | 3-1-0-4 | ENG505 |
| 8 | ENG801 | Final Year Project | 2-0-6-6 | ENG701 |
| 8 | ENG802 | Capstone Project | 2-0-6-6 | ENG702 |
| 8 | ENG803 | Industry Internship | 0-0-0-6 | ENG801 |
| 8 | ENG804 | Professional Ethics | 2-0-2-3 | ENG706 |
| 8 | ENG805 | Advanced Electives | 3-1-0-4 | ENG702 |
Advanced Departmental Elective Courses
The department offers several advanced departmental elective courses that allow students to explore specialized areas within engineering. These courses are designed to provide in-depth knowledge and practical skills that align with industry trends and research needs.
Machine Learning is a core elective that explores advanced algorithms and applications in artificial intelligence. Students learn about neural networks, deep learning frameworks, and natural language processing techniques. The course emphasizes hands-on implementation using Python and TensorFlow, preparing students for careers in AI research and development.
Network Security is a critical elective that covers modern cybersecurity threats and defense mechanisms. Students study encryption techniques, intrusion detection systems, and secure network design. The course includes practical exercises using industry-standard tools such as Wireshark, Metasploit, and Nmap.
Renewable Energy Systems introduces students to solar, wind, and hydroelectric power generation technologies. The course covers energy storage systems, smart grid integration, and environmental impact assessment. Students gain practical experience through laboratory experiments and case studies of real-world projects.
Biomedical Instrumentation focuses on the design and application of medical devices and diagnostic equipment. Students study bio-sensors, signal processing, and medical imaging systems. The course includes laboratory sessions where students build and test biomedical prototypes.
Structural Analysis provides in-depth knowledge of building and infrastructure design. Students learn about load analysis, structural modeling, and seismic design principles. The course emphasizes practical applications through software-based simulations and physical testing.
Software Engineering covers the entire software development lifecycle, from requirements analysis to deployment. Students study agile methodologies, software architecture, and testing strategies. The course includes group projects where students develop full-scale applications using industry-standard tools.
Advanced Control Systems explores modern control theory and applications in robotics and automation. Students study state-space representation, optimal control, and adaptive control systems. The course includes laboratory sessions with real-time control systems and simulation software.
Embedded Systems introduces students to microcontroller programming and real-time system design. Students learn about ARM processors, real-time operating systems, and IoT applications. The course includes practical projects involving hardware-software integration.
Smart Grid Technologies covers the integration of renewable energy sources into electrical power systems. Students study grid stability, power quality, and energy management systems. The course includes case studies of smart grid implementations in various countries.
Advanced Manufacturing explores modern manufacturing technologies such as 3D printing, CNC machining, and automation systems. Students study process optimization, quality control, and lean manufacturing principles. The course includes hands-on experience with advanced manufacturing equipment.
Data Mining and Analytics focuses on extracting insights from large datasets using statistical and machine learning techniques. Students learn about clustering, classification, and regression methods. The course includes practical applications using Python libraries such as scikit-learn and pandas.
Entrepreneurship provides students with the skills and mindset needed to start and grow engineering ventures. The course covers business model development, funding strategies, and innovation management. Students work on individual projects to develop their own business ideas.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that practical experience is essential for developing competent engineers. Projects are designed to mirror real-world challenges and require students to apply theoretical knowledge in creative and innovative ways.
Mini-projects are assigned during the second and third years of the program. These projects typically last 4-6 weeks and involve small teams of 3-5 students. Students are required to select projects from a list provided by faculty members or propose their own ideas with faculty approval. The projects are evaluated based on technical execution, innovation, presentation quality, and team collaboration.
The final-year thesis/capstone project is a comprehensive endeavor that spans the entire final semester. Students work individually or in teams on projects that are either industry-sponsored or research-oriented. The projects are supervised by faculty members with expertise in the relevant domain. Students must submit a detailed project report and present their work to a panel of faculty members and industry experts.
Project selection involves a rigorous process that considers student interests, faculty expertise, and industry relevance. Students are encouraged to explore interdisciplinary projects that combine multiple engineering disciplines. The department also facilitates connections with industry partners to provide students with real-world project opportunities.
Evaluation criteria for projects include technical merit, innovation, feasibility, documentation quality, and presentation skills. Students receive feedback throughout the project process to ensure continuous improvement and learning. The department also hosts annual project exhibitions where students showcase their work to faculty, industry professionals, and the general public.