- Class Dates
- 08/21/2023 to 12/08/2023
- Units
- 3.0
- Delivered By
- Online Asynchronous
- Instructor(s)
-
Tatiana Firsova
(tanyaf@ksu.edu) - Meeting Times
- Meets by Appt
- Meeting Location
- Distance Education
The Mathematics of Data and Networks I
MATH 725 - Class Number: 15257
Description:
Develops the mathematical tools necessary for studying and handling large datasets and networks. Includes matrix, graph, and probability theory, dimensionality reduction, clustering, maximum likelihood, Bayesian networks, sparsification, modularity, information theory, hidden Markov chains, branching processes, electrical networks, internet mathematics, random walks, random graphs, random matrices, and search algorithms.
- Class is a Data Science Elective in the MS Data Analytics program
Permissions:
- Instructor Tatiana Firsova's permission is required after 08/28/2023.
- Enrollment Dates
- 03/20/2023 to 08/21/2023
- Enrollment Limit
- 25
Credit/Tuition Options
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.