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