Curriculum Overview
The Engineering program at Ims Unison University Dehradun is structured over 8 semesters, providing a balanced blend of foundational knowledge, technical depth, and practical application. Each semester includes core courses, departmental electives, science electives, and laboratory sessions designed to ensure comprehensive learning and skill development.
| Year | Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|---|
| I | 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| ENG102 | Physics for Engineers | 3-1-0-4 | - | ||
| I | 2 | ENG103 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| ENG104 | Chemistry for Engineers | 3-1-0-4 | - | ||
| II | 3 | ENG201 | Engineering Mechanics | 3-1-0-4 | ENG102 |
| ENG202 | Electrical Circuits | 3-1-0-4 | - | ||
| II | 4 | ENG203 | Thermodynamics | 3-1-0-4 | ENG101 |
| ENG204 | Materials Science | 3-1-0-4 | - | ||
| III | 5 | ENG301 | Fluid Mechanics | 3-1-0-4 | ENG201 |
| ENG302 | Control Systems | 3-1-0-4 | ENG202 | ||
| III | 6 | ENG303 | Digital Electronics | 3-1-0-4 | ENG202 |
| ENG304 | Computer Programming | 3-1-0-4 | - | ||
| IV | 7 | ENG401 | Advanced Mathematics | 3-1-0-4 | ENG101 |
| ENG402 | Engineering Design | 3-1-0-4 | - | ||
| IV | 8 | ENG403 | Capstone Project | 0-0-6-6 | All previous courses |
| ENG404 | Industrial Training | 0-0-6-0 | - |
Advanced departmental elective courses include:
- Machine Learning Algorithms (CSE501): Focuses on supervised and unsupervised learning models, neural networks, deep learning frameworks, and applications in real-world scenarios.
- Cybersecurity Protocols (CSE502): Covers network security, encryption techniques, ethical hacking, and incident response strategies for protecting digital assets.
- Renewable Energy Systems (ME501): Explores solar, wind, hydroelectric, and other sustainable energy technologies with emphasis on grid integration and policy frameworks.
- Biomedical Signal Processing (BME501): Integrates signal processing principles with biomedical applications for medical diagnostics and therapeutic interventions.
- Smart Manufacturing Systems (ME502): Examines automation, IoT integration, robotics, and data analytics in manufacturing environments.
- Structural Dynamics (CE501): Analyzes dynamic behavior of structures under various loads including seismic forces and wind effects.
- Automotive Engineering (ME503): Covers engine design, vehicle dynamics, propulsion systems, and modern automotive technologies.
- Signal & Systems Analysis (ECE501): Studies linear time-invariant systems, Fourier transforms, Laplace transforms, and their applications in communication networks.
- Power Electronics (EE501): Focuses on power conversion circuits, inverters, rectifiers, and motor drives for industrial applications.
- Transportation Planning & Design (CE502): Covers traffic engineering, transportation modeling, urban mobility planning, and infrastructure development.
The department strongly emphasizes project-based learning as a fundamental component of the curriculum. Students engage in mini-projects throughout their academic journey, starting with simple experiments and progressing to complex multidisciplinary projects. These projects are evaluated based on innovation, technical execution, teamwork, and presentation skills.
Mini-projects are assigned during the third year and typically last six weeks, allowing students to explore specific topics under faculty guidance. The final-year thesis or capstone project requires students to work closely with a faculty advisor to develop an original solution addressing real-world engineering challenges. Students can choose from industry-sponsored projects, research proposals, or independent studies based on their interests and career aspirations.