Curriculum Overview
The curriculum at Matrix Skilltech University Geyzing's Logistics program is meticulously structured to provide students with both theoretical knowledge and practical skills required in the modern logistics industry. The following table outlines all courses across eight semesters:
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | English for Engineering | 3-0-0-3 | - |
| 1 | MAT101 | Mathematics I | 4-0-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-0-0-3 | - |
| 1 | CHE101 | Chemistry for Engineers | 3-0-0-3 | - |
| 1 | ME101 | Introduction to Engineering | 2-0-0-2 | - |
| 1 | CSE101 | Computer Programming | 3-0-0-3 | - |
| 2 | MAT102 | Mathematics II | 4-0-0-4 | MAT101 |
| 2 | PHY102 | Basic Electronics | 3-0-0-3 | PHY101 |
| 2 | ENG102 | Communication Skills | 2-0-0-2 | - |
| 2 | ME102 | Engineering Mechanics | 3-0-0-3 | ME101 |
| 2 | CSE102 | Data Structures and Algorithms | 3-0-0-3 | CSE101 |
| 2 | ECE101 | Basic Electrical Engineering | 3-0-0-3 | - |
| 3 | MAT201 | Probability and Statistics | 3-0-0-3 | MAT102 |
| 3 | ME201 | Thermodynamics | 3-0-0-3 | ME102 |
| 3 | CSE201 | Database Management Systems | 3-0-0-3 | CSE102 |
| 3 | ECE201 | Digital Logic Design | 3-0-0-3 | ECE101 |
| 3 | LOG101 | Introduction to Logistics | 3-0-0-3 | - |
| 3 | MAT202 | Linear Algebra | 3-0-0-3 | MAT102 |
| 4 | MAT203 | Operations Research | 3-0-0-3 | MAT201 |
| 4 | LOG201 | Transportation Systems | 3-0-0-3 | LOG101 |
| 4 | CSE202 | Web Technologies | 3-0-0-3 | CSE201 |
| 4 | ECE202 | Microprocessors and Microcontrollers | 3-0-0-3 | ECE201 |
| 4 | MAT204 | Differential Equations | 3-0-0-3 | MAT202 |
| 5 | LOG301 | Supply Chain Management | 3-0-0-3 | LOG201 |
| 5 | LOG302 | Warehouse Management | 3-0-0-3 | LOG201 |
| 5 | CSE301 | Machine Learning | 3-0-0-3 | CSE202 |
| 5 | ECE301 | Sensors and Instrumentation | 3-0-0-3 | ECE202 |
| 5 | MAT301 | Mathematical Modeling | 3-0-0-3 | MAT204 |
| 6 | LOG401 | Inventory Control and Management | 3-0-0-3 | LOG301 |
| 6 | LOG402 | Demand Forecasting | 3-0-0-3 | LOG301 |
| 6 | CSE401 | Data Analytics for Logistics | 3-0-0-3 | CSE301 |
| 6 | MAT401 | Optimization Techniques | 3-0-0-3 | MAT301 |
| 7 | LOG501 | Risk Management in Logistics | 3-0-0-3 | LOG401 |
| 7 | LOG502 | Global Trade and Customs | 3-0-0-3 | LOG301 |
| 7 | CSE501 | Advanced Data Structures | 3-0-0-3 | CSE401 |
| 7 | MAT501 | Stochastic Processes | 3-0-0-3 | MAT401 |
| 8 | LOG601 | Capstone Project | 6-0-0-6 | LOG501, LOG502 |
| 8 | CSE601 | Capstone Project (Software) | 6-0-0-6 | CSE501 |
| 8 | MAT601 | Research Methodology | 2-0-0-2 | MAT501 |
Advanced departmental elective courses include:
- Logistics Optimization Using AI: This course explores how artificial intelligence techniques such as neural networks, genetic algorithms, and reinforcement learning can be applied to optimize logistics processes. Students learn to implement algorithms for route planning, inventory optimization, and demand forecasting using platforms like TensorFlow and Python libraries.
- Sustainable Supply Chain Management: Focused on environmental impact reduction strategies, this course covers sustainable sourcing, green packaging, carbon footprint measurement, and regulatory compliance in logistics operations. Students engage with case studies from companies that have successfully implemented sustainable practices.
- Blockchain in Logistics: An emerging field combining blockchain technology with logistics tracking, this course teaches students how to design secure, transparent supply chain networks using distributed ledger technologies. Real-world applications include tracking pharmaceuticals and ensuring food safety through immutable records.
- Intelligent Transportation Systems (ITS): Covers the integration of communication, computing, and control technologies in transportation infrastructure to improve mobility, safety, and efficiency. Topics include smart traffic signals, vehicle-to-vehicle communication, autonomous vehicles, and urban mobility planning.
- Reverse Logistics: Examines the process of returning goods from consumers back to producers for recycling, repair, or disposal. This course addresses challenges in product returns, environmental responsibility, cost optimization, and regulatory compliance in reverse logistics networks.
- E-Commerce Fulfillment Centers: Analyzes the unique demands of online retail supply chains, focusing on warehouse layout design, order processing automation, last-mile delivery optimization, and customer satisfaction metrics. Students participate in simulations using real-world e-commerce platforms like Amazon and Flipkart.
- Supply Chain Risk Management: Teaches students to identify, assess, and mitigate risks in global supply chains. The course covers geopolitical risks, natural disasters, supplier failures, cybersecurity threats, and business continuity planning strategies.
- Smart Warehouse Technologies: Focuses on the automation of warehouse operations using robotics, automated guided vehicles (AGVs), and warehouse management systems (WMS). Students gain hands-on experience with simulation tools and real-world data from companies like Amazon and DHL.
- Urban Logistics and Last-Mile Delivery: Explores the challenges of delivering goods in dense urban environments, including congestion, parking restrictions, delivery time windows, and eco-friendly alternatives. The course includes field visits to local logistics hubs and presentations by industry experts.
- International Trade and Export-Import Procedures: Provides a comprehensive overview of international trade regulations, customs procedures, documentation requirements, and export/import compliance frameworks. Students learn about Incoterms, export financing, and cross-border logistics coordination.
The department's philosophy on project-based learning emphasizes the development of practical skills through real-world applications. Mini-projects are assigned during the third and fourth semesters, allowing students to apply theoretical concepts in small-scale scenarios. These projects are evaluated based on innovation, technical execution, presentation quality, and teamwork effectiveness.
The final-year thesis/capstone project is a comprehensive endeavor that spans the entire eighth semester. Students select projects aligned with their interests or industry needs, working under the guidance of faculty mentors who provide mentorship throughout the process. Projects are typically collaborative efforts involving multiple students, simulating professional environments where cross-functional teams work together on complex logistics challenges.