ÃÛÌÒ´«Ã½app

Minerva Class Scheduling Visit for course dates & times.

McGill.ca / Overview / All Courses
important

Note: This is the 2022–2023 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

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

Offered by: Management (Desautels Faculty of Management)

Administered by: Graduate Studies

Overview

Management Science : 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: Summer 2023

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 fourth lecture day.

  • **No web drop allowed.

  • **Web withdrawal not applicable.

  • **Web ADD only

Back to top