MGSC 674. Optimization for Data Science.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
MGSC 674
Optimization for Data Science.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
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
- 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"
- 1. The online version of the course includes synchronous and/or asynchronous course activities
Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.
Launch Visual Schedule Builder