Curriculum Overview
The Industrial Maintenance program at Govt Polytechnic Ganai Gangoli is structured to provide students with a comprehensive understanding of both theoretical concepts and practical applications in industrial maintenance. The curriculum is divided into eight semesters, each designed to build upon previous knowledge while introducing new challenges and opportunities for skill development.
Course Structure Across Semesters
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | IM-101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | IM-102 | Physics for Engineering | 3-1-0-4 | - |
| 1 | IM-103 | Basic Electrical Engineering | 3-1-0-4 | - |
| 1 | IM-104 | Introduction to Industrial Systems | 2-1-0-3 | - |
| 1 | IM-105 | Workshop Practice I | 0-0-3-1 | - |
| 2 | IM-201 | Engineering Mathematics II | 3-1-0-4 | IM-101 |
| 2 | IM-202 | Chemistry for Engineers | 3-1-0-4 | - |
| 2 | IM-203 | Mechanics of Materials | 3-1-0-4 | - |
| 2 | IM-204 | Machine Drawing & CAD | 2-1-0-3 | - |
| 2 | IM-205 | Workshop Practice II | 0-0-3-1 | IM-105 |
| 3 | IM-301 | Thermodynamics | 3-1-0-4 | IM-201 |
| 3 | IM-302 | Electrical Machines | 3-1-0-4 | IM-103 |
| 3 | IM-303 | Mechanical Systems Design | 3-1-0-4 | IM-203 |
| 3 | IM-304 | Control Systems | 3-1-0-4 | - |
| 3 | IM-305 | Industrial Instrumentation | 2-1-0-3 | - |
| 4 | IM-401 | Maintenance Engineering Principles | 3-1-0-4 | IM-301 |
| 4 | IM-402 | Industrial Automation | 3-1-0-4 | IM-304 |
| 4 | IM-403 | Data Analytics for Maintenance | 2-1-0-3 | IM-201 |
| 4 | IM-404 | Quality Control & Reliability | 2-1-0-3 | - |
| 4 | IM-405 | Industrial Safety Management | 2-1-0-3 | - |
| 5 | IM-501 | Predictive Maintenance Techniques | 3-1-0-4 | IM-401 |
| 5 | IM-502 | Robotics in Maintenance | 3-1-0-4 | IM-402 |
| 5 | IM-503 | Sustainable Maintenance Practices | 2-1-0-3 | - |
| 5 | IM-504 | Digital Twin Technology | 2-1-0-3 | - |
| 5 | IM-505 | Advanced Manufacturing Systems | 2-1-0-3 | - |
| 6 | IM-601 | Asset Management & Lifecycle | 3-1-0-4 | IM-501 |
| 6 | IM-602 | Energy Efficiency in Industry | 2-1-0-3 | - |
| 6 | IM-603 | Renewable Energy Systems Maintenance | 2-1-0-3 | - |
| 6 | IM-604 | Industrial IoT & Sensor Networks | 2-1-0-3 | - |
| 6 | IM-605 | Mini Project I | 0-0-6-2 | - |
| 7 | IM-701 | Advanced Maintenance Planning | 3-1-0-4 | IM-601 |
| 7 | IM-702 | Smart Manufacturing Systems | 3-1-0-4 | - |
| 7 | IM-703 | Project Management in Industry | 2-1-0-3 | - |
| 7 | IM-704 | Mini Project II | 0-0-6-2 | IM-605 |
| 7 | IM-705 | Internship Preparation | 0-0-3-1 | - |
| 8 | IM-801 | Final Year Thesis/Capstone Project | 0-0-12-6 | IM-704 |
| 8 | IM-802 | Professional Internship | 0-0-9-3 | - |
Advanced Departmental Elective Courses
Predictive Maintenance Techniques: This course explores advanced algorithms and methodologies for predicting equipment failures using historical data, real-time monitoring systems, and machine learning models. Students will learn how to implement these techniques in industrial settings to minimize downtime and optimize maintenance schedules.
Robotics in Maintenance: Focused on integrating robotic systems into maintenance workflows, this course covers automation technologies, sensor integration, and robot programming for inspection, repair, and preventive maintenance tasks. Practical sessions involve building and testing robotic units designed for industrial environments.
Sustainable Maintenance Practices: Students learn how to implement environmentally sustainable practices in industrial maintenance operations, including waste minimization strategies, energy conservation techniques, and eco-friendly lubricants and materials. The course emphasizes long-term sustainability metrics and regulatory compliance.
Digital Twin Technology: This course introduces students to digital twin concepts, enabling them to create virtual replicas of physical systems for simulation, analysis, and optimization. Through hands-on projects, students will build and manage digital twins for complex industrial assets.
Industrial IoT & Sensor Networks: Covering the integration of Internet of Things (IoT) devices in industrial settings, this course delves into sensor deployment strategies, data collection mechanisms, network protocols, and cloud-based analytics platforms that support real-time maintenance decision-making.
Asset Management & Lifecycle: Students explore lifecycle management strategies for industrial assets, focusing on acquisition, operation, maintenance, and disposal phases. The course emphasizes tools and techniques for tracking asset performance, planning replacement cycles, and maximizing return on investment.
Energy Efficiency in Industry: This course provides an in-depth look at energy auditing practices, energy-saving technologies, and optimization strategies tailored to industrial processes. Students will evaluate existing systems and propose improvements that reduce energy consumption without compromising productivity.
Renewable Energy Systems Maintenance: Designed for students interested in the growing renewable energy sector, this course covers maintenance practices for solar panels, wind turbines, hydroelectric generators, and other clean energy technologies. Emphasis is placed on safety protocols and performance optimization strategies.
Advanced Maintenance Planning: Focused on strategic planning for large-scale industrial operations, this course teaches students how to develop comprehensive maintenance plans that align with business objectives, regulatory requirements, and operational constraints.
Smart Manufacturing Systems: Integrating Industry 4.0 technologies, this course explores how smart manufacturing systems enhance productivity through automation, data analytics, and real-time communication between machines and humans.
Project Management in Industry: This elective prepares students for leadership roles in industrial maintenance by teaching project planning, risk management, resource allocation, and stakeholder communication strategies essential for successful implementation of maintenance initiatives.
Project-Based Learning Philosophy
Our department believes that project-based learning is crucial for developing practical skills and fostering innovation among students. The program incorporates both mini-projects and a final-year thesis/capstone project to provide comprehensive experiential learning opportunities.
Mini Projects: In the fifth semester, students undertake a mini-project that involves applying learned concepts to solve real-world maintenance challenges. These projects are supervised by faculty members with industry experience and must be completed within a specified timeframe. Evaluation criteria include project design, execution quality, report writing, and presentation skills.
Final-Year Thesis/Capstone Project: The capstone project represents the culmination of students' academic journey. Under the guidance of a faculty mentor, students select a topic relevant to their interests or industry needs. Projects typically involve extensive research, experimentation, and documentation. Students present their findings at an annual conference and submit a detailed thesis report.
Project Selection Process: Students are encouraged to propose project ideas aligned with current industrial trends or personal career goals. Faculty mentors guide students in refining proposals, identifying necessary resources, and setting realistic timelines. Projects may also be inspired by ongoing research initiatives or industry collaboration opportunities.