Comprehensive Course Structure
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-0-2-4 | None |
| 1 | ENG102 | Physics for Engineers | 3-0-2-4 | None |
| 1 | ENG103 | Chemistry for Engineers | 3-0-2-4 | None |
| 1 | ENG104 | Engineering Graphics | 2-0-2-3 | None |
| 1 | ENG105 | Computer Programming | 3-0-2-4 | None |
| 1 | ENG106 | English Communication Skills | 2-0-2-3 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-0-2-4 | ENG101 |
| 2 | ENG202 | Strength of Materials | 3-0-2-4 | ENG102 |
| 2 | ENG203 | Electrical Circuits | 3-0-2-4 | ENG102 |
| 2 | ENG204 | Thermodynamics | 3-0-2-4 | ENG102 |
| 2 | ENG205 | Introduction to Programming | 3-0-2-4 | ENG105 |
| 2 | ENG206 | Engineering Mechanics | 3-0-2-4 | ENG102 |
| 3 | ENG301 | Fluid Mechanics | 3-0-2-4 | ENG202 |
| 3 | ENG302 | Materials Science | 3-0-2-4 | ENG103 |
| 3 | ENG303 | Digital Electronics | 3-0-2-4 | ENG203 |
| 3 | ENG304 | Computer Architecture | 3-0-2-4 | ENG205 |
| 3 | ENG305 | Probability & Statistics | 3-0-2-4 | ENG201 |
| 3 | ENG306 | Data Structures and Algorithms | 3-0-2-4 | ENG205 |
| 4 | ENG401 | Control Systems | 3-0-2-4 | ENG303 |
| 4 | ENG402 | Signals and Systems | 3-0-2-4 | ENG201 |
| 4 | ENG403 | Microprocessor & Microcontroller | 3-0-2-4 | ENG303 |
| 4 | ENG404 | Manufacturing Processes | 3-0-2-4 | ENG302 |
| 4 | ENG405 | Operations Research | 3-0-2-4 | ENG305 |
| 4 | ENG406 | Software Engineering | 3-0-2-4 | ENG306 |
| 5 | ENG501 | Advanced Mathematics | 3-0-2-4 | ENG201 |
| 5 | ENG502 | Power Systems | 3-0-2-4 | ENG203 |
| 5 | ENG503 | Machine Design | 3-0-2-4 | ENG202 |
| 5 | ENG504 | Environmental Engineering | 3-0-2-4 | ENG102 |
| 5 | ENG505 | Electromagnetic Fields | 3-0-2-4 | ENG303 |
| 5 | ENG506 | Design Project I | 2-0-4-4 | ENG401, ENG403 |
| 6 | ENG601 | Advanced Control Systems | 3-0-2-4 | ENG401 |
| 6 | ENG602 | Computer Networks | 3-0-2-4 | ENG403 |
| 6 | ENG603 | Artificial Intelligence | 3-0-2-4 | ENG305 |
| 6 | ENG604 | Renewable Energy Systems | 3-0-2-4 | ENG204 |
| 6 | ENG605 | Human Factors in Engineering | 3-0-2-4 | ENG106 |
| 6 | ENG606 | Design Project II | 2-0-4-4 | ENG506 |
| 7 | ENG701 | Research Methodology | 3-0-2-4 | ENG305 |
| 7 | ENG702 | Capstone Project | 2-0-6-6 | ENG606 |
| 7 | ENG703 | Advanced Signals and Systems | 3-0-2-4 | ENG402 |
| 7 | ENG704 | Optimization Techniques | 3-0-2-4 | ENG501 |
| 7 | ENG705 | Embedded Systems | 3-0-2-4 | ENG403 |
| 7 | ENG706 | Industrial Training | 0-0-8-4 | None |
| 8 | ENG801 | Thesis / Final Project | 2-0-8-8 | ENG702 |
| 8 | ENG802 | Professional Ethics | 2-0-2-3 | None |
| 8 | ENG803 | Project Management | 2-0-2-3 | None |
| 8 | ENG804 | Entrepreneurship Development | 2-0-2-3 | None |
| 8 | ENG805 | Internship Report | 0-0-6-4 | ENG706 |
Advanced Departmental Elective Courses
These advanced courses are designed to deepen students' understanding of specialized areas within engineering. Each course has a clear learning objective and is aligned with industry standards and emerging technologies.
- Artificial Intelligence & Machine Learning: This course introduces students to the fundamental concepts of AI and ML, including supervised and unsupervised learning, neural networks, deep learning architectures, and natural language processing. Students learn to implement algorithms using Python and TensorFlow, preparing them for careers in data science and AI research.
- Data Science & Analytics: Focused on extracting insights from large datasets, this course covers statistical modeling, data visualization, machine learning techniques, and big data technologies like Hadoop and Spark. Students gain hands-on experience with tools such as R, Python, and SQL.
- Cybersecurity Fundamentals: This elective explores the principles of network security, cryptography, ethical hacking, and incident response. It prepares students to protect digital assets from cyber threats by understanding attack vectors, defensive strategies, and compliance frameworks.
- Renewable Energy Technologies: Designed for students interested in sustainable energy solutions, this course covers solar panel design, wind turbine engineering, hydroelectric systems, and energy storage technologies. Students study the environmental impact and economic viability of renewable sources.
- Mechanical Design & CAD: This course focuses on computer-aided design (CAD) software like SolidWorks and AutoCAD, teaching students how to create detailed mechanical models and simulations. It emphasizes practical applications in product development and manufacturing processes.
- Power Systems Engineering: Students learn about power generation, transmission, distribution, and control systems. Topics include load flow analysis, stability studies, protection schemes, and smart grid technologies. The course prepares students for roles in electrical utilities and power companies.
- Biomedical Devices & Systems: This course combines engineering principles with medical applications, focusing on the design and development of medical devices such as pacemakers, prosthetics, and diagnostic equipment. Students gain knowledge of biomaterials, biocompatibility, and regulatory requirements.
- Advanced Control Systems: This elective delves into modern control theory, including state-space representation, optimal control, robust control, and adaptive control systems. Students learn to design controllers for complex dynamic systems using MATLAB and Simulink.
- Internet of Things (IoT): This course explores the architecture, protocols, and applications of IoT networks. Students study sensor integration, wireless communication, data analytics, and security in IoT environments, preparing them for careers in smart cities and industrial automation.
- Nanotechnology & Materials Science: Focused on nanoscale materials and their properties, this course covers synthesis techniques, characterization methods, and applications in electronics, medicine, and energy. Students engage in laboratory experiments involving nanostructures and thin films.
Project-Based Learning Approach
At Asian International University Imphal West, project-based learning is a cornerstone of the engineering curriculum. Students begin working on mini-projects from their second year, progressing to more complex capstone projects in their final year.
Mini-projects are typically completed in groups of 3-5 students and focus on applying theoretical knowledge to real-world problems. These projects are evaluated based on technical correctness, creativity, presentation skills, and teamwork.
The final-year thesis or capstone project is a significant component of the program. Students choose their topic in consultation with faculty mentors, who guide them through research, experimentation, documentation, and defense. The project must demonstrate originality, relevance to industry needs, and technical excellence.
Faculty members from various departments serve as mentors for these projects, ensuring that students receive expert guidance throughout their academic journey. The university also hosts annual project exhibitions where students showcase their work to faculty, industry professionals, and peers.