Global Campus Home Course Search Search Results Convex Optimization for Data Science
Class Dates
01/16/2024 to 05/03/2024
Units
3.0
Delivered By
Online Asynchronous
Instructor(s)
Anna Zemlyanova
(azem@ksu.edu)
Meeting Times
Meets by Appt
Meeting Location
Distance Education

Convex Optimization for Data Science

MATH 620 - Class Number: 15004

Description:

Convex optimization is an essential tool in data science and underlies many machine learning algorithms. This course provides students with the necessary tools, skills, vocabulary, and techniques, that will allow them to become life-long users of convex optimization in the context of data analysis.

Permissions:

  • Instructor Anna Zemlyanova's permission is required after 01/23/2024.

Student Requirements:

  • Internet access

Prerequisites:

  • Math 222

Enrollment Dates
10/23/2023 to 01/16/2024
Enrollment Limit
20

Credit/Tuition Options

Credit Option Hours

Enrollments received on or after the first day of class may be assessed a $65 special handling fee.


Courses in Kansas State University’s new tuition and fees structure charge by program type — campus-based or online — versus by individual course delivery format. Tuition and fees rates are available at k-state.edu/costs.