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+ | =====Course unit: Data and analytics ===== | ||
+ | ==== Course metadata ==== | ||
+ | * Title in French: Analyses et données | ||
+ | * Course code: tba | ||
+ | * ECTS credits: 3 | ||
+ | * Teaching hours: 72h | ||
+ | * Type: specialized course | ||
+ | * Language of instruction: | ||
+ | * Coordinator: | ||
+ | * Instructor(s): | ||
+ | * //Last update 24/03/2021 by C. Pouet// | ||
+ | |||
+ | ==== Brief description ==== | ||
+ | |||
+ | This course unit is divided into three parts: | ||
+ | * **Quantitative marketing** (24 hours) taught by Augustin Amann and Vincent Archer, | ||
+ | * **Data and macroeconomics** (24 hours) taught by Aurélien Poissonier, | ||
+ | * **Yield management** (24 hours) taught by Régis Chenavaz and Antoine Winckels. | ||
+ | |||
+ | ==== Learning outcomes ==== | ||
+ | |||
+ | * Know how to use data in a strategic approach | ||
+ | * Know how to present a model, its results and its insights | ||
+ | * Know how to assess data suitability to a specific issue | ||
+ | * Know how to model intertemporal strategic decisions | ||
+ | * Know how to combine model and data to take pricing decisions | ||
+ | |||
+ | ==== Course content ==== | ||
+ | === Quantitative marketing=== | ||
+ | - Data processing | ||
+ | * Data: a story of representation | ||
+ | * Data in business | ||
+ | * From segmentation to dynamic targeting | ||
+ | - Marketing from a Data Scientist point of view | ||
+ | * Context: the data world | ||
+ | * Scoring | ||
+ | * Statistics | ||
+ | * Correlations | ||
+ | * Automatic learning | ||
+ | * Supervised classification | ||
+ | * Perspectives | ||
+ | === Data and macroeconomics === | ||
+ | This course aims at giving a broad view of macroeconomic data. It is structured around three questions: | ||
+ | - Can we measure everything? | ||
+ | - Can we sum everything? | ||
+ | - Can we compare everything? | ||
+ | These questions will allow to tackle multiple sources for macroeconomic data, their methodology, | ||
+ | === Yield management=== | ||
+ | - Dynamic pricing | ||
+ | * Modeling firm's intertemporal price-setting decisions | ||
+ | * The price-quality relationship | ||
+ | * Modeling project: managerial decision in an intertemporal framework. | ||
+ | - Application to yield management in air transport | ||
+ | * Single leg resource management | ||
+ | * Network resource management | ||
+ | * Demand forecasting | ||
+ | |||
+ | |||
+ | ==== Bibliography ==== | ||
+ | Check the availability of the books below at [[https:// | ||
+ | - Quantitatve marketing | ||
+ | * Abiteboul, S., « Sciences des données : de la logique du premier ordre à la Toile », Leçon inaugurale du Collège de France : [[https:// | ||
+ | - Data and macroeconomics | ||
+ | * [[https:// | ||
+ | * [[https:// | ||
+ | * [[https:// | ||
+ | - Yield management | ||
+ | * Sorger, G. Reference price formation and optimal marketing strategies, In Optimal Control Theory and Economic Analysis 3, G. Feichtinger (editor), Elsevier Science Publishers (North-Holland, | ||
+ | * Talluri, K. T., Van Ryzin, G. J., The Theory and Practice of Revenue Management, Springer 2004. | ||
+ | * Belobaba, Peter. 16.75J Airline Management, Spring 2006. MIT OpenCourseWare. | ||
+ | * Frumin, Michael, and Moshe Ben-Akiva. 1.201J Transportation Systems Analysis: Demand and Economics, Fall 2008. MIT OpenCourseWare. | ||
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