ƽÌØÎå²»ÖÐ

MGSC 660 Mathematical and Statistical Foundations for Analytics (3 unités)

important

Nota : Ceci est la version 2019–2020 de l'annuaire électronique. Veuillez mettre à jour l'année dans la barre d'adresse de votre navigateur pour une version plus récente de cette page, ou .

Offered by: Gestion (Gestion)

Administered by: Études supérieures et recherch

Vue d'ensemble

Sciences de la gestion : This course consists of two parts: (i) The first half of the course focuses on probabilistic and statistical foundations of data analytics. At the end of this part, students will have the mathematical knowledge in following topics: probabilities, random variables, the Central Limit Theorem; prior and posterior distributions, and Bayes’ rule; correlation, and Sampling. (ii) The second half of the course focuses on mathematical foundations of decision analytics. At the end of this part, students will have the mathematical knowledge in following topics: linear algebra; calculus of several variables; convexity; separating hyperplanes; unconstrained and constrained optimization; lagrange multipliers.

Terms: Été 2020

Instructors: Gumus, Mehmet (Summer)

  • **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the third lecture day

  • **No web drop allowed.

  • **Web withdrawal not applicable.

  • **Final exam will take place on September 25, 2020.

  • **Web ADD only

Back to top