Comprehensive Course Catalog
This section presents a detailed breakdown of the Industrial Maintenance program curriculum across eight semesters, including core subjects, departmental electives, science electives, and laboratory courses. Each course is accompanied by its course code, full title, credit structure (L-T-P-C), and prerequisites where applicable.
| Semester | Course Code | Full Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MA101 | Mathematics I | 3-1-0-4 | - |
| 1 | PH101 | Physics I | 3-1-0-4 | - |
| 1 | CH101 | Chemistry I | 3-1-0-4 | - |
| 1 | EC101 | Engineering Graphics and Design | 2-1-0-3 | - |
| 1 | EE101 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | ME101 | Introduction to Mechanical Engineering | 2-1-0-3 | - |
| 1 | HS101 | English Communication Skills | 2-0-0-2 | - |
| 2 | MA201 | Mathematics II | 3-1-0-4 | MA101 |
| 2 | PH201 | Physics II | 3-1-0-4 | PH101 |
| 2 | CH201 | Chemistry II | 3-1-0-4 | CH101 |
| 2 | EC201 | Electrical Circuits and Machines | 3-1-0-4 | EE101 |
| 2 | ME201 | Engineering Mechanics | 3-1-0-4 | - |
| 2 | CS201 | Introduction to Programming | 2-1-0-3 | - |
| 2 | HS201 | Personality Development and Soft Skills | 1-0-0-1 | - |
| 3 | MA301 | Mathematics III | 3-1-0-4 | MA201 |
| 3 | PH301 | Thermodynamics | 3-1-0-4 | PH201 |
| 3 | CH301 | Materials Science and Engineering | 3-1-0-4 | CH201 |
| 3 | EC301 | Control Systems | 3-1-0-4 | EC201 |
| 3 | ME301 | Fluid Mechanics and Hydraulic Machines | 3-1-0-4 | ME201 |
| 3 | CS301 | Data Structures and Algorithms | 3-1-0-4 | CS201 |
| 3 | HS301 | Business Communication | 2-0-0-2 | - |
| 4 | MA401 | Mathematics IV | 3-1-0-4 | MA301 |
| 4 | PH401 | Heat Transfer | 3-1-0-4 | PH301 |
| 4 | CH401 | Industrial Chemistry | 3-1-0-4 | CH301 |
| 4 | EC401 | Digital Electronics | 3-1-0-4 | EC301 |
| 4 | ME401 | Mechanics of Materials | 3-1-0-4 | ME301 |
| 4 | CS401 | Database Management Systems | 3-1-0-4 | CS301 |
| 4 | HS401 | Leadership and Teamwork | 2-0-0-2 | - |
| 5 | ME501 | Predictive Maintenance | 3-1-0-4 | ME401 |
| 5 | EC501 | Automation and Control Systems | 3-1-0-4 | EC401 |
| 5 | CS501 | Artificial Intelligence and Machine Learning | 3-1-0-4 | CS401 |
| 5 | PH501 | Industrial Safety and Risk Management | 3-1-0-4 | PH401 |
| 5 | CH501 | Energy Systems and Efficiency | 3-1-0-4 | CH401 |
| 5 | MA501 | Advanced Mathematics for Engineers | 3-1-0-4 | MA401 |
| 6 | ME601 | Advanced Maintenance Engineering | 3-1-0-4 | ME501 |
| 6 | EC601 | Industrial IoT and Smart Sensors | 3-1-0-4 | EC501 |
| 6 | CS601 | Data Mining for Maintenance Applications | 3-1-0-4 | CS501 |
| 6 | PH601 | Cybersecurity in Industrial Systems | 3-1-0-4 | PH501 |
| 6 | CH601 | Sustainable Maintenance Practices | 3-1-0-4 | CH501 |
| 6 | MA601 | Operations Research | 3-1-0-4 | MA501 |
| 7 | ME701 | Robotics in Industrial Maintenance | 3-1-0-4 | ME601 |
| 7 | EC701 | Advanced Control Systems | 3-1-0-4 | EC601 |
| 7 | CS701 | Deep Learning for Predictive Maintenance | 3-1-0-4 | CS601 |
| 7 | PH701 | Environmental Impact Assessment | 3-1-0-4 | PH601 |
| 7 | CH701 | Advanced Materials for Maintenance | 3-1-0-4 | CH601 |
| 7 | MA701 | Statistical Quality Control | 3-1-0-4 | MA601 |
| 8 | ME801 | Capstone Project in Industrial Maintenance | 2-2-0-5 | ME701 |
| 8 | EC801 | Final Year Thesis | 3-0-0-6 | EC701 |
| 8 | CS801 | Industry Internship | 2-0-0-4 | CS701 |
| 8 | PH801 | Research Methodology | 2-0-0-3 | PH701 |
| 8 | CH801 | Final Project Report | 2-0-0-4 | CH701 |
| 8 | MA801 | Professional Ethics and Governance | 2-0-0-3 | MA701 |
Detailed Departmental Elective Courses
The following departmental elective courses offer advanced knowledge in specialized areas of Industrial Maintenance:
- Predictive Maintenance with AI and Machine Learning: This course explores how artificial intelligence techniques can be used to predict equipment failures, optimize maintenance schedules, and reduce unplanned downtime. Students learn to apply machine learning algorithms to real-world datasets, develop predictive models, and integrate these models into existing maintenance systems.
- IoT in Industrial Environments: Focused on the deployment of Internet of Things (IoT) technologies within industrial settings, this course covers sensor networks, data collection, communication protocols, and integration with enterprise systems. Students gain hands-on experience in setting up IoT-based monitoring solutions for industrial assets.
- Robotics for Industrial Maintenance: This course introduces students to robotics applications in maintenance tasks such as inspection, repair, and routine servicing. Topics include robot design, control systems, mobile robots in factories, and human-robot interaction protocols.
- Sustainable Maintenance Practices: Emphasizing eco-friendly approaches to industrial maintenance, this course explores green energy usage, waste minimization, environmental compliance, and sustainable material selection. Students learn how to implement sustainability metrics into maintenance planning and execution.
- Cybersecurity in Industrial Systems: This course addresses cybersecurity challenges in industrial environments, focusing on protecting critical infrastructure from cyber threats. Students learn about network architecture design, secure communication protocols, incident response strategies, and regulatory compliance frameworks.
- Industrial Safety and Risk Management: Designed to prepare students for safety roles in industrial settings, this course covers hazard identification, risk assessment techniques, emergency response planning, and safety audit procedures. Students gain practical skills in conducting safety assessments and implementing safety management systems.
- Energy Efficiency and Maintenance Optimization: This course focuses on reducing energy consumption while maintaining operational efficiency. Topics include energy auditing, power quality management, optimization techniques for maintenance systems, and integration of renewable energy sources into industrial operations.
- Mechanical Systems and Equipment Maintenance: Students study mechanical engineering principles as applied to maintenance, including advanced machine design, lubrication systems, bearing analysis, and equipment diagnostics. This course provides foundational knowledge for tackling complex maintenance challenges in mechanical systems.
- Quality Control and Assurance in Manufacturing: This specialization emphasizes maintaining high standards in production processes through statistical process control, quality metrics, inspection techniques, and continuous improvement methodologies. Students learn to implement quality assurance systems that meet international standards.
- Advanced Materials and Coatings for Maintenance: This course delves into the science of materials used in industrial applications, exploring surface treatments, corrosion resistance, wear analysis, and material selection for maintenance purposes. Students gain expertise in choosing appropriate materials based on environmental and operational conditions.
Project-Based Learning Philosophy
The department's approach to project-based learning is deeply rooted in the belief that real-world experience is essential for developing competent professionals. Projects are structured to mirror actual industrial scenarios, encouraging students to apply theoretical concepts in practical settings while fostering creativity and innovation.
Mini-projects begin in the third year, where students work on smaller-scale initiatives under faculty supervision. These projects typically last 3-4 months and involve identifying a maintenance problem, proposing a solution, and implementing it using available tools and technologies. Evaluation criteria include technical execution, documentation quality, presentation skills, and teamwork.
The final-year capstone project is a significant milestone in the program. Students select a topic relevant to their specialization or a current industry challenge, conduct independent research, and develop an innovative solution. Faculty mentors guide students through every stage of the process, from problem identification to final implementation and documentation.
Projects are selected through a combination of student interest, faculty expertise, and industry relevance. Students are encouraged to propose projects aligned with their career aspirations or current trends in the field. The department facilitates connections between students and industry partners for project collaboration opportunities.