Mohammad Fazel-Zarandi with the essential concepts, techniques, and tools needed to effectively analyze and enhance data-driven models in operations management. By focusing on both Predictive Analytics and Prescriptive Analytics, students will learn to address complex problems across various business domains. Some of the topics covered include: forecasting, machine learning, deep learning, revenue management, supply chain analytics, retail analytics, extermination, and reinforcement learning. Many industries and application domains will be covered, such as online platforms, retail, healthcare, public policy, supply chain, networks, online advertising, and more. A special feature of the course is a final project that provide hands-on demonstration of some of the central concepts. By the end of this course, students will have the analytical skills and practical experience necessary to excel in various professional paths where data-driven decision-making is crucial. [[15.774 Syllabus - Fall 2024-3.pdf]] | Session | Day | Topic (References) | Case | |---------|-----|-------------------|------| | 1 | 9/4 | Introduction and Course Overview | | | 2 | 9/9 | Analytics in Operations Management | | | 3 | 9/11 | Time Series Forecasting | | | 4 | 9/16 | Deep Learning | | | 5 | 9/18 | Analytics for Public Sector Operations | | | 6 | 9/23 | Predictive Analytics with Unstructured Data I | | | 7 | 9/25 | Predictive Analytics with Unstructured Data II | Vispera | | 8 | 9/30 | Choice Modeling | | | 9 | 10/2 | Recommender Systems and Collaborative Filtering I | | | 10 | 10/7 | Recommender Systems and Collaborative Filtering II | | | 11 | 10/9 | Assortment Optimization | | | 12 | 10/16 | Revenue Analytics | Transportation National Group | | 13 | 10/28 | Network Design | | | 14 | 10/30 | Supply Chain Analytics | Madurai Aavin Milk Dairy | | 15 | 11/4 | Guest speaker | | | 16 | 11/6 | Supply Chain Management: Inventory Analytics | Wills Lifestyle in India | | 17 | 11/13 | Global Supply Chain Management Simulation | | | 18 | 11/18 | Guest speaker | | | 19 | 11/20 | Online advertising and auctions | EveryDay Medical | | 20 | 11/25 | A/B testing and Experimentation | Innovation at Uber | | 21 | 12/2 | Multi-Armed Bandits and Reinforcement Learning I | | | 22 | 12/4 | Multi-Armed Bandits and Reinforcement Learning II | | | 23 | 12/9 | Final Project Presentations | | | 24 | 12/11 | Final Project Presentations | |