Course Structure Overview
The engineering program at Maharashtra Institute Of Technology University Of Meghalaya Shillong is designed to provide a comprehensive and progressive learning experience. The curriculum spans four years, with each year building upon previous knowledge and introducing new concepts. The program includes core courses, departmental electives, science electives, and laboratory sessions that collectively ensure students receive a well-rounded education.
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 4-0-0-4 | None |
| 1 | ENG102 | Physics for Engineers | 3-0-0-3 | None |
| 1 | ENG103 | Chemistry for Engineers | 3-0-0-3 | None |
| 1 | ENG104 | Programming Fundamentals | 2-0-2-3 | None |
| 1 | ENG105 | Engineering Graphics | 2-0-0-2 | None |
| 2 | ENG201 | Engineering Mathematics II | 4-0-0-4 | ENG101 |
| 2 | ENG202 | Electrical Circuits and Networks | 3-0-0-3 | ENG102 |
| 2 | ENG203 | Mechanics of Solids | 3-0-0-3 | ENG102 |
| 2 | ENG204 | Signals and Systems | 3-0-0-3 | ENG101 |
| 2 | ENG205 | Computer Programming Lab | 0-0-4-2 | ENG104 |
| 3 | ENG301 | Thermodynamics | 3-0-0-3 | ENG201, ENG202 |
| 3 | ENG302 | Materials Science and Engineering | 3-0-0-3 | ENG103 |
| 3 | ENG303 | Digital Electronics | 3-0-0-3 | ENG202 |
| 3 | ENG304 | Fluid Mechanics | 3-0-0-3 | ENG102 |
| 3 | ENG305 | Engineering Economics and Management | 3-0-0-3 | None |
| 4 | ENG401 | Control Systems | 3-0-0-3 | ENG204 |
| 4 | ENG402 | Power Plant Engineering | 3-0-0-3 | ENG301 |
| 4 | ENG403 | Manufacturing Processes | 3-0-0-3 | ENG302 |
| 4 | ENG404 | Structural Analysis | 3-0-0-3 | ENG203 |
| 4 | ENG405 | Electronics and Communication Lab | 0-0-4-2 | ENG303 |
| 5 | ENG501 | Advanced Mathematics for Engineers | 4-0-0-4 | ENG201 |
| 5 | ENG502 | Machine Design | 3-0-0-3 | ENG302, ENG203 |
| 5 | ENG503 | Refrigeration and Air Conditioning | 3-0-0-3 | ENG301 |
| 5 | ENG504 | Hydraulic and Pneumatic Systems | 3-0-0-3 | ENG304 |
| 5 | ENG505 | Computer Architecture and Organization | 3-0-0-3 | ENG204 |
| 6 | ENG601 | Industrial Engineering | 3-0-0-3 | ENG305 |
| 6 | ENG602 | Project Management | 3-0-0-3 | ENG305 |
| 6 | ENG603 | Environmental Engineering | 3-0-0-3 | ENG304 |
| 6 | ENG604 | Renewable Energy Systems | 3-0-0-3 | ENG301 |
| 6 | ENG605 | Electrical Machines and Drives | 3-0-0-3 | ENG202 |
| 7 | ENG701 | Advanced Control Systems | 3-0-0-3 | ENG401 |
| 7 | ENG702 | Biomedical Engineering | 3-0-0-3 | ENG302, ENG304 |
| 7 | ENG703 | Optimization Techniques | 3-0-0-3 | ENG501 |
| 7 | ENG704 | Advanced Materials | 3-0-0-3 | ENG302 |
| 7 | ENG705 | Research Methodology and Ethics | 2-0-0-2 | None |
| 8 | ENG801 | Final Year Project I | 0-0-6-6 | ENG705 |
| 8 | ENG802 | Final Year Project II | 0-0-6-6 | ENG801 |
| 8 | ENG803 | Internship | 0-0-0-6 | ENG705 |
| 8 | ENG804 | Capstone Design | 0-0-0-6 | ENG801, ENG802 |
| 8 | ENG805 | Professional Practice and Ethics | 2-0-0-2 | None |
Advanced Departmental Electives
The department offers a wide array of advanced elective courses that allow students to specialize in areas of interest. These courses are designed to provide in-depth knowledge and practical skills relevant to current industry demands.
Artificial Intelligence and Machine Learning
This course covers the fundamentals of machine learning algorithms, neural networks, and deep learning frameworks. Students learn to implement models using Python and TensorFlow, and apply these techniques to real-world problems such as image recognition, natural language processing, and predictive analytics.
Advanced Control Systems
This elective explores advanced topics in control theory, including nonlinear systems, optimal control, and robust control design. Students gain hands-on experience with simulation tools like MATLAB/Simulink and apply theoretical concepts to industrial automation projects.
Biomedical Engineering
This course bridges the gap between engineering and medicine by focusing on medical device design, tissue engineering, and bioinstrumentation. Students work on projects involving prosthetics, diagnostic equipment, and drug delivery systems.
Renewable Energy Systems
This course delves into solar, wind, hydroelectric, and geothermal energy technologies. Students study energy conversion processes, grid integration challenges, and sustainability practices in renewable energy systems.
Optimization Techniques
This elective introduces students to mathematical optimization methods used in engineering design and decision-making. Topics include linear programming, integer programming, and heuristic algorithms for solving complex optimization problems.
Advanced Materials
This course explores the properties, processing, and applications of advanced materials such as composites, ceramics, polymers, and nanomaterials. Students engage in laboratory experiments to characterize material behavior under different conditions.
Research Methodology and Ethics
This foundational course prepares students for conducting research and writing technical reports. It covers scientific methods, data analysis techniques, ethical considerations in engineering practice, and professional communication skills.
Project Management
This elective equips students with project management tools and methodologies essential for leading engineering projects. Topics include risk assessment, resource allocation, timeline planning, and quality control in engineering environments.
Industrial Engineering
This course focuses on improving efficiency in manufacturing and service industries through process analysis, workflow optimization, and lean manufacturing principles. Students learn to apply industrial engineering tools to solve real-world productivity challenges.
Computer Architecture and Organization
This course provides a deep understanding of computer hardware components and their interaction. Students study instruction sets, memory hierarchy, pipeline architecture, and parallel processing techniques used in modern processors.
Project-Based Learning Philosophy
The engineering program emphasizes project-based learning as a core component of education. This approach encourages students to apply theoretical knowledge to solve practical problems through hands-on experience.
Mini Projects
Mini projects are undertaken during the second and third years of study. These projects involve small teams working on specific engineering challenges under faculty supervision. The goal is to develop problem-solving skills, teamwork abilities, and technical proficiency in a controlled environment.
Final Year Thesis/Capstone Project
The final year project is a significant component of the program, requiring students to work independently or in teams on a substantial engineering challenge. This project integrates knowledge from multiple disciplines and culminates in a written thesis and presentation.
Faculty Mentorship
Each student is assigned a faculty mentor who guides them throughout their academic journey. Mentors provide advice on course selection, research opportunities, internships, and career planning. This relationship ensures personalized support and academic guidance tailored to individual needs.