Comprehensive Course Listing
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisite |
|---|---|---|---|---|
| 1 | IM101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | IM102 | Applied Physics | 3-1-0-4 | - |
| 1 | IM103 | Basic Electrical and Electronics Principles | 3-1-0-4 | - |
| 1 | IM104 | Engineering Graphics and Drafting | 2-1-0-3 | - |
| 1 | IM105 | Communication Skills | 2-0-0-2 | - |
| 1 | IM106 | Workshop Practice | 0-0-3-1 | - |
| 2 | IM201 | Engineering Mathematics II | 3-1-0-4 | IM101 |
| 2 | IM202 | Materials Science and Engineering | 3-1-0-4 | - |
| 2 | IM203 | Mechanics of Materials | 3-1-0-4 | - |
| 2 | IM204 | Fluid Mechanics | 3-1-0-4 | - |
| 2 | IM205 | Mechanics of Machines | 3-1-0-4 | - |
| 2 | IM206 | Thermodynamics | 3-1-0-4 | - |
| 3 | IM301 | Control Systems | 3-1-0-4 | IM201, IM205 |
| 3 | IM302 | Industrial Instrumentation | 3-1-0-4 | - |
| 3 | IM303 | Maintenance Engineering | 3-1-0-4 | - |
| 3 | IM304 | Machine Design | 3-1-0-4 | - |
| 3 | IM305 | Advanced Manufacturing Processes | 3-1-0-4 | - |
| 3 | IM306 | Engineering Economics and Costing | 3-1-0-4 | - |
| 4 | IM401 | Automation and Robotics | 3-1-0-4 | IM301, IM302 |
| 4 | IM402 | Advanced Maintenance Techniques | 3-1-0-4 | - |
| 4 | IM403 | Project Management | 3-1-0-4 | - |
| 4 | IM404 | Energy Systems and Sustainability | 3-1-0-4 | - |
| 4 | IM405 | Process Safety and Risk Management | 3-1-0-4 | - |
| 4 | IM406 | Quality Assurance and Reliability Engineering | 3-1-0-4 | - |
| 5 | IM501 | Data Analytics for Maintenance | 3-1-0-4 | IM201, IM301 |
| 5 | IM502 | Predictive Maintenance Technologies | 3-1-0-4 | - |
| 5 | IM503 | Sensor Network Technologies | 3-1-0-4 | - |
| 5 | IM504 | Advanced Materials and Corrosion Control | 3-1-0-4 | - |
| 5 | IM505 | Maintenance Data Management | 3-1-0-4 | - |
| 5 | IM506 | Environmental Impact Assessment | 3-1-0-4 | - |
| 6 | IM601 | Capstone Project I | 2-0-6-8 | - |
| 6 | IM602 | Industrial Internship | 0-0-4-4 | - |
| 6 | IM603 | Advanced Topics in Maintenance Engineering | 3-1-0-4 | - |
| 6 | IM604 | Entrepreneurship and Innovation | 2-0-0-2 | - |
| 6 | IM605 | Professional Ethics and Social Responsibility | 2-0-0-2 | - |
| 7 | IM701 | Capstone Project II | 2-0-6-8 | IM601 |
| 7 | IM702 | Advanced Research Methodology | 3-1-0-4 | - |
| 7 | IM703 | Project Thesis | 0-0-8-12 | - |
| 7 | IM704 | Industry Collaboration Project | 2-0-6-6 | - |
| 7 | IM705 | Technical Writing and Presentation Skills | 2-0-0-2 | - |
| 8 | IM801 | Final Year Project | 0-0-12-16 | IM703 |
| 8 | IM802 | Comprehensive Examination | 0-0-0-4 | - |
Detailed Course Descriptions
Data Analytics for Maintenance (IM501): This course focuses on applying data science techniques to industrial maintenance problems. Students learn about statistical methods, machine learning algorithms, and data visualization tools specifically tailored for predictive maintenance. The curriculum covers time series analysis, regression models, clustering techniques, and anomaly detection in maintenance datasets.
Predictive Maintenance Technologies (IM502): This advanced course explores emerging technologies used in predictive maintenance, including IoT sensors, AI models, and real-time monitoring systems. Students gain hands-on experience with simulation software and learn to design and implement predictive maintenance strategies for complex industrial environments.
Sensor Network Technologies (IM503): Designed to equip students with knowledge of modern sensor technologies and their applications in maintenance engineering. The course covers wireless communication protocols, embedded systems programming, data acquisition networks, and integration challenges in large-scale sensor deployments.
Advanced Materials and Corrosion Control (IM504): This course delves into the properties and behavior of advanced materials under various industrial conditions. Topics include corrosion mechanisms, protective coatings, material selection criteria for specific applications, and lifecycle management strategies to enhance equipment durability and performance.
Maintenance Data Management (IM505): Focuses on organizing, storing, and analyzing large volumes of maintenance data. Students learn about database design, data warehousing concepts, ETL processes, and how to extract actionable insights from historical maintenance records to improve decision-making.
Environmental Impact Assessment (IM506): This interdisciplinary course addresses the environmental implications of industrial maintenance activities. It covers regulatory compliance frameworks, carbon footprint analysis, waste minimization strategies, and sustainable practices that align with global environmental standards.
Capstone Project I (IM601): The first phase of the capstone project involves identifying a real-world problem in maintenance engineering and developing a comprehensive proposal. Students work under faculty supervision to define scope, methodology, and expected outcomes for their research or implementation project.
Industrial Internship (IM602): A structured internship program that places students with leading industrial organizations. The experience provides practical exposure to maintenance operations, company culture, and professional development opportunities while contributing to actual projects.
Advanced Topics in Maintenance Engineering (IM603): This course explores current trends and cutting-edge research in maintenance engineering. Topics include smart maintenance systems, digital twin technology, blockchain in maintenance records, and emerging regulatory requirements affecting industrial operations.
Entrepreneurship and Innovation (IM604): Designed to inspire and prepare students for entrepreneurial ventures in the maintenance sector. The course covers business model development, innovation management, intellectual property rights, funding strategies, and startup creation processes tailored for technical professionals.
Professional Ethics and Social Responsibility (IM605): Emphasizes the ethical considerations and social responsibilities inherent in engineering practice. Students examine case studies involving workplace safety, environmental stewardship, public trust, and professional accountability within the context of industrial maintenance.
Project-Based Learning Philosophy
Our department embraces a project-based learning (PBL) approach that transforms abstract concepts into tangible applications. The philosophy centers on active student engagement, collaborative problem-solving, and real-world relevance in engineering education.
The PBL framework is implemented through a structured progression of mini-projects and capstone initiatives. Students begin with foundational projects in their early semesters, gradually advancing to complex, multidisciplinary challenges that reflect industry needs.
Mini-projects are typically completed within 4-6 weeks and involve small teams working on specific aspects of maintenance engineering. These projects help students develop critical thinking skills, technical competencies, and teamwork abilities essential for professional success.
The final-year thesis/capstone project is a significant undertaking that spans several months. Students select topics aligned with their interests or industry challenges, work closely with faculty mentors, and present their findings to an evaluation panel of experts from academia and industry.
Project selection involves a rigorous process where students submit proposals, undergo peer reviews, and receive mentorship guidance throughout the development cycle. This ensures that each project contributes meaningfully to either academic knowledge or industrial practice.