15.0711 The Analytics Edge


Class Info

Presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today's most important companies. Examples include finance (quantitative asset management and options pricing), sports, health care, revenue management, supply chains, and the Internet. Outlines the competitive landscape. Presents the key quantitative methods that created the edge (data-mining, dynamic optimization, simulation), and discusses their impact. Uses R programming language. Includes team projects. Meets with 15.071 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

This class has 15.053 as a prerequisite.

15.0711 will be offered this semester (Spring 2018). It is instructed by D. Bertsimas.

Lecture occurs 2:30 PM to 4:00 PM on Mondays and Wednesdays in E51-345.

This class counts for a total of 12 credits.

You can find more information at the MIT Subject Listing & Schedule IAP / Spring 2018 Search Results site or on the 15.0711 Stellar site.

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MIT Subject Listing & Schedule IAP / Spring 2018 Search Results

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