Comprehensive Course Structure and Curriculum

The curriculum for the Operations program at Roorkee College Of Management And Computer Applications Roorkee is meticulously designed to provide students with a balanced mix of foundational knowledge, technical skills, and practical experience. The eight-semester structure ensures a progressive learning journey that builds upon prior knowledge while preparing students for advanced specialization.

Semester-Wise Course Structure

Semester	Course Code	Full Course Title	Credit Structure (L-T-P-C)	Prerequisites
1	ENG101	Engineering Mathematics I	3-0-0-3	-
1	PHY101	Physics for Engineers	3-0-0-3	-
1	CHE101	Chemistry for Engineers	3-0-0-3	-
1	BIO101	Biology for Engineers	2-0-0-2	-
1	CS101	Introduction to Computer Programming	3-0-0-3	-
1	ECON101	Introduction to Economics	2-0-0-2	-
1	MATH101	Calculus and Linear Algebra	3-0-0-3	-
2	ENG102	Engineering Mathematics II	3-0-0-3	ENG101
2	MATH102	Probability and Statistics for Engineers	3-0-0-3	MATH101
2	PHY102	Thermodynamics and Heat Transfer	3-0-0-3	PHY101
2	MAT101	Materials Science and Engineering	3-0-0-3	CHE101
2	CS102	Data Structures and Algorithms	3-0-0-3	CS101
2	ECON102	Microeconomics	2-0-0-2	ECON101
3	OPM101	Introduction to Operations Management	2-0-0-2	-
3	MATH103	Operations Research I	3-0-0-3	MATH102
3	MECH101	Fluid Mechanics and Hydraulics	3-0-0-3	PHY102
3	CS103	Database Management Systems	3-0-0-3	CS102
3	ECON103	Macroeconomics	2-0-0-2	ECON102
4	OPM102	Operations Planning and Control	2-0-0-2	OPM101
4	MATH104	Advanced Operations Research II	3-0-0-3	MATH103
4	MECH102	Mechanics of Materials	3-0-0-3	MAT101
4	CS104	Software Engineering	3-0-0-3	CS103
4	ECON104	Business Finance	2-0-0-2	ECON103
5	OPM201	Supply Chain Management	2-0-0-2	OPM102
5	MATH105	Stochastic Processes in Operations	3-0-0-3	MATH104
5	MECH103	Industrial Engineering Principles	3-0-0-3	MECH102
5	CS105	Machine Learning for Operations	3-0-0-3	CS104
5	ECON105	Industrial Organization	2-0-0-2	ECON104
6	OPM202	Quality Management Systems	2-0-0-2	OPM201
6	MATH106	Decision Analysis in Operations	3-0-0-3	MATH105
6	MECH104	Production Planning and Scheduling	3-0-0-3	MECH103
6	CS106	Big Data Analytics for Operations	3-0-0-3	CS105
6	ECON106	Corporate Strategy	2-0-0-2	ECON105
7	OPM301	Digital Operations and Automation	2-0-0-2	OPM202
7	MATH107	Advanced Analytics in Operations	3-0-0-3	MATH106
7	MECH105	Lean Manufacturing Principles	3-0-0-3	MECH104
7	CS107	Internet of Things (IoT) in Operations	3-0-0-3	CS106
7	ECON107	Economic Analysis of Operations	2-0-0-2	ECON106
8	OPM302	Operations Strategy and Innovation	2-0-0-2	OPM301
8	MATH108	Operations Research Capstone	3-0-0-3	MATH107
8	MECH106	Project Management in Operations	3-0-0-3	MECH105
8	CS108	Capstone Project in Operations	3-0-0-3	CS107
8	ECON108	Business Ethics and Sustainability	2-0-0-2	ECON107

Detailed Departmental Elective Courses

The department offers a rich array of advanced departmental electives that allow students to tailor their learning experience based on their interests and career aspirations. These courses are designed to deepen understanding in specialized areas while providing hands-on experience with cutting-edge technologies and methodologies.

1. Machine Learning for Operations

This course introduces students to the application of machine learning techniques in solving complex operational problems. It covers supervised and unsupervised learning models, neural networks, and reinforcement learning algorithms tailored for operations management. Students learn how to implement these methods using Python and TensorFlow.

2. Big Data Analytics for Operations

This elective explores the role of big data in modern operations management. Students study distributed computing frameworks like Hadoop and Spark, data visualization tools such as Tableau and Power BI, and predictive modeling techniques for operational analytics. Practical assignments involve analyzing large datasets from real-world companies.

3. Lean Manufacturing Principles

This course focuses on the principles and practices of lean manufacturing, including value stream mapping, 5S methodology, Kaizen events, and continuous improvement. Students engage in simulations and case studies to understand how lean concepts can be applied across industries.

4. Supply Chain Analytics

This elective delves into the analytical tools used in supply chain management. Topics include demand forecasting, inventory optimization, transportation modeling, and risk analysis. Students work with real-world datasets and industry software to develop practical skills in supply chain analytics.

5. Digital Operations and Automation

This course examines how digital technologies are transforming operations across sectors. It covers Industry 4.0 concepts, IoT integration, robotic process automation (RPA), and cyber-physical systems. Students gain hands-on experience through lab sessions and project work.

6. Healthcare Operations Management

This course applies operational principles to healthcare settings. It covers patient flow optimization, resource allocation in hospitals, quality improvement initiatives, and health informatics. Case studies from leading healthcare institutions provide practical insights.

7. Service Delivery Excellence

This elective focuses on the design and management of service systems. Students learn about service blueprinting, customer experience mapping, service quality measurement, and innovation in service delivery. Real-world projects with service providers enhance learning outcomes.

8. Sustainable Supply Chains

This course addresses sustainability challenges in supply chains. It covers green logistics, carbon footprint reduction, circular economy principles, and environmental impact assessment. Students develop strategies for creating sustainable operations that balance economic viability with ecological responsibility.

9. Operations Strategy and Innovation

This advanced course explores how organizations can align their operational capabilities with strategic objectives. It covers innovation management, change leadership, organizational design, and competitive advantage through operational excellence. Students engage in strategic planning exercises and simulations.

10. Project Management in Operations

This elective builds on foundational project management knowledge by focusing on operational contexts. It covers project selection criteria, resource planning, risk management, and performance evaluation in complex operations environments. Students apply methodologies like Agile and Scrum to real-world scenarios.

Project-Based Learning Philosophy

The Operations program at Roorkee College Of Management And Computer Applications Roorkee places a strong emphasis on project-based learning as a core pedagogical approach. This methodology is designed to bridge the gap between theoretical knowledge and practical application, ensuring that students develop critical thinking and problem-solving skills essential for success in their careers.

Mini-Projects Structure

Mini-projects are integrated throughout the curriculum, starting from the second semester. These projects are typically completed in groups of 3-5 students and last for 4-6 weeks. Each project is assigned by a faculty member or industry partner and focuses on a specific operational challenge or opportunity.

The evaluation criteria for mini-projects include:

• Problem Definition: Clarity of the problem statement and relevance to real-world operations challenges.
• Methodology: Appropriateness of analytical methods and tools used.
• Data Analysis: Quality and depth of data interpretation and insights derived.
• Recommendations: Feasibility, innovation, and impact of proposed solutions.
• Presentation Skills: Clarity, professionalism, and effectiveness of communication.

Final-Year Thesis/Capstone Project

The final-year capstone project is a comprehensive endeavor that requires students to integrate all knowledge gained during their undergraduate studies. It involves working closely with a faculty mentor and potentially an industry partner on a significant operational challenge.

Students can choose from several pre-defined topics or propose their own, subject to approval by the departmental advisory board. The project spans an entire semester and results in a detailed report, a presentation, and a demonstration of the implemented solution.

The scope of the capstone project includes:

• Problem identification and literature review
• Data collection and analysis using appropriate tools
• Development of innovative solutions or improvements
• Implementation plan and feasibility assessment
• Final presentation to faculty and industry experts

Project Selection Process

The project selection process ensures that students choose topics aligned with their interests, career goals, and departmental expertise. Students are encouraged to explore various options through consultations with faculty mentors and industry partners.

Faculty members provide guidance on selecting projects that offer meaningful learning experiences while allowing students to contribute significantly to the operational challenges faced by organizations.