Comprehensive Course Structure
The engineering program at Ras Bihari Bose Subharti University Dehradun is structured over 8 semesters, with a carefully designed curriculum that balances foundational knowledge, core engineering principles, and advanced specializations. The program is designed to provide students with a solid academic foundation, practical skills, and industry exposure to prepare them for successful careers in engineering.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | ENG102 | Engineering Physics | 3-1-0-4 | - |
| 1 | ENG103 | Engineering Chemistry | 3-1-0-4 | - |
| 1 | ENG104 | Engineering Graphics | 2-1-0-3 | - |
| 1 | ENG105 | Computer Programming | 3-1-0-4 | - |
| 1 | ENG106 | Engineering Mechanics | 3-1-0-4 | - |
| 1 | ENG107 | Workshop Practice | 0-0-2-2 | - |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Electrical Engineering | 3-1-0-4 | - |
| 2 | ENG203 | Material Science | 3-1-0-4 | - |
| 2 | ENG204 | Thermodynamics | 3-1-0-4 | - |
| 2 | ENG205 | Engineering Drawing | 2-1-0-3 | ENG104 |
| 2 | ENG206 | Computer Programming II | 3-1-0-4 | ENG105 |
| 2 | ENG207 | Basic Electronics | 3-1-0-4 | - |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ENG302 | Fluid Mechanics | 3-1-0-4 | - |
| 3 | ENG303 | Strength of Materials | 3-1-0-4 | - |
| 3 | ENG304 | Machine Design | 3-1-0-4 | - |
| 3 | ENG305 | Control Systems | 3-1-0-4 | - |
| 3 | ENG306 | Signals and Systems | 3-1-0-4 | - |
| 3 | ENG307 | Microprocessors | 3-1-0-4 | - |
| 4 | ENG401 | Engineering Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ENG402 | Heat Transfer | 3-1-0-4 | - |
| 4 | ENG403 | Manufacturing Processes | 3-1-0-4 | - |
| 4 | ENG404 | Industrial Engineering | 3-1-0-4 | - |
| 4 | ENG405 | Power Plant Engineering | 3-1-0-4 | - |
| 4 | ENG406 | Advanced Control Systems | 3-1-0-4 | - |
| 4 | ENG407 | Computer Networks | 3-1-0-4 | - |
| 5 | ENG501 | Advanced Mathematics | 3-1-0-4 | ENG401 |
| 5 | ENG502 | Advanced Materials | 3-1-0-4 | - |
| 5 | ENG503 | Finite Element Analysis | 3-1-0-4 | - |
| 5 | ENG504 | Robotics and Automation | 3-1-0-4 | - |
| 5 | ENG505 | Advanced Thermodynamics | 3-1-0-4 | - |
| 5 | ENG506 | Signal Processing | 3-1-0-4 | - |
| 5 | ENG507 | Embedded Systems | 3-1-0-4 | - |
| 6 | ENG601 | Research Methodology | 2-1-0-3 | - |
| 6 | ENG602 | Advanced Manufacturing | 3-1-0-4 | - |
| 6 | ENG603 | Project Management | 3-1-0-4 | - |
| 6 | ENG604 | Advanced Control Systems | 3-1-0-4 | - |
| 6 | ENG605 | Renewable Energy Systems | 3-1-0-4 | - |
| 6 | ENG606 | Industrial Automation | 3-1-0-4 | - |
| 6 | ENG607 | Machine Learning | 3-1-0-4 | - |
| 7 | ENG701 | Special Topics in Engineering | 3-1-0-4 | - |
| 7 | ENG702 | Advanced Project | 0-0-4-6 | - |
| 7 | ENG703 | Industrial Internship | 0-0-0-4 | - |
| 7 | ENG704 | Research Project | 0-0-6-8 | - |
| 8 | ENG801 | Capstone Project | 0-0-8-10 | - |
| 8 | ENG802 | Professional Ethics | 2-1-0-3 | - |
| 8 | ENG803 | Entrepreneurship | 2-1-0-3 | - |
| 8 | ENG804 | Advanced Seminar | 2-1-0-3 | - |
Advanced Departmental Electives
The department offers a wide range of advanced departmental electives that allow students to explore specialized areas of interest. These courses are designed to provide in-depth knowledge and practical skills in specific domains of engineering.
Artificial Intelligence and Machine Learning
This course introduces students to the fundamental concepts of artificial intelligence and machine learning. Students learn about neural networks, deep learning, natural language processing, and computer vision. The course includes hands-on projects and real-world applications to help students understand how AI and ML are used in industry.
Cybersecurity and Information Assurance
This elective focuses on the principles and practices of cybersecurity. Students learn about network security, cryptography, risk management, and incident response. The course includes practical labs where students simulate cyber attacks and defend against them using various tools and techniques.
Renewable Energy Systems
This course explores the design and implementation of renewable energy systems such as solar, wind, and hydroelectric power. Students learn about energy storage, smart grids, and environmental impact assessment. The course includes field visits and projects related to renewable energy installations.
Biomedical Engineering
This course combines engineering principles with medical and biological sciences. Students learn to design medical devices, develop diagnostic tools, and understand the physiological systems of the human body. The course includes laboratory sessions and case studies from the medical field.
Robotics and Automation
This elective provides students with the knowledge and skills needed to design and build robotic systems. Students learn about sensors, actuators, control systems, and programming for robots. The course includes hands-on projects where students build and program their own robots.
Advanced Materials
This course focuses on the properties and applications of advanced materials such as composites, nanomaterials, and smart materials. Students learn about material selection, testing, and characterization techniques. The course includes laboratory sessions and projects related to materials research.
Finite Element Analysis
This course introduces students to the finite element method (FEM), a numerical technique used to solve complex engineering problems. Students learn about mesh generation, boundary conditions, and post-processing of results. The course includes practical sessions using FEM software tools.
Power Plant Engineering
This elective covers the design and operation of power plants, including thermal, nuclear, and renewable energy plants. Students learn about power generation, efficiency optimization, and environmental considerations. The course includes field visits to power plants and simulations of power plant operations.
Advanced Control Systems
This course delves into advanced control system design and analysis. Students learn about state-space methods, robust control, and optimal control. The course includes practical sessions using simulation tools and real-world control system projects.
Signal Processing
This course covers the theory and application of signal processing techniques. Students learn about digital signal processing, filter design, and spectral analysis. The course includes laboratory sessions and projects involving real-time signal processing applications.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is centered around the idea that students learn best when they are actively engaged in solving real-world problems. This approach encourages students to apply their theoretical knowledge to practical situations, fostering critical thinking, creativity, and teamwork.
Mini-projects are an integral part of the curriculum, starting from the second year. These projects are designed to be small-scale but challenging, allowing students to explore specific aspects of engineering and develop their problem-solving skills. Students work in teams and are guided by faculty members throughout the project lifecycle.
The final-year thesis or capstone project is a comprehensive project that requires students to integrate all the knowledge and skills they have acquired during their studies. Students are encouraged to choose projects that align with their interests and career goals, and they receive mentorship from faculty members who are experts in their respective fields.
The evaluation criteria for projects include the quality of the solution, innovation, presentation, and teamwork. Students are also required to document their work and present their findings to faculty and industry experts. This process helps students develop communication skills and prepares them for professional environments where they will need to present their work to stakeholders.