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MGSC 674 Optimization for Data Science (1.5 credits)

Offered by: Management (Desautels Faculty of Management)

Administered by: Graduate Studies

Overview

Management Science : Introduction to foundational concepts in optimization with a strong emphasis on applications to problems in data science and machine learning, including fundamental optimization models such as linear, integer, and convex programming, a variety of gradient descent methods, and algorithms ( the expectation-maximization and back-propagation algorithm), as well as the applications to various current and diverse data science and machine-learning contexts

Terms: This course is not scheduled for the 2024-2025 academic year.

Instructors: There are no professors associated with this course for the 2024-2025 academic year.

  • Prerequisites: (INSY 660 or INSY 662) and (MGSC 660 or MGSC 661) or permission of the instructor

  • Restrictions: Not open to students who have taken MGSC 695 when the topic was "Optimization for Data Science"

  • The online version of the course includes synchronous and/or asynchronous course activities

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