TOM uses a combination of formal lectures, simulation exercises, recent cases from various industries, and participant experiences to augment students’ and participants’ understanding of key concepts and to gain appreciation of how the concepts can be successfully implemented.
Courses that are focused on strategic issues will use cases as the primary vehicle for learning but ask students to apply analytical tools and conceptual frameworks to fully capture and map key learning. At the doctoral level, significant emphasis will be placed on recent quantitative models and rigorous empirical studies.
All courses ought to improve both a general understanding of technology & operations management for technology-based enterprises and give students specific skills.
TOM is involved in several teaching programs, addressed to different audiences:
- EPFL Doctoral courses
- EPFL Master courses – MTE – Management of Technology and Entrepreneurship
EPFL Doctoral Courses
Mathematical Models in Supply Chain Management
This course covers recent research and advances in operations and supply chain management. The objective of the course is to familiarize Ph.D. students with the latest research in these areas, with special emphasis placed on research that has been conducted on supply chains for bringing technology products to markets. The course should be of particular interest for students who are currently pursuing doctoral studies at the junction of technology management and supply chain management, or related fields. In addition, it should appeal to students who are interested in the quantitative analysis of operations and supply chains.
EPFL Master Courses
Supply Chain Management
This course deals with the integration and coordination of material, information, and financial flows in supply chains that span suppliers, manufacturers, distributors, logistics providers, and customers. The objective of the course is to teach fundamental concepts as well as state-of-the-art approaches in supply-chain management. The course prepares students to identify design and incentive conflicts that exist in actual supply chains, to quantify the improvements that various supply-chain-management approaches offer, to overcome implementation barriers, and to control supply-chain performance. Since quantitative models are applied to solve real-world problems, students must have a solid quantitative background.