2024 Spring > GRAD > busadm > busadm 782
Optimization for Data Science
Course #: busadm 782
Description:
This course teaches optimization theory and techniques that are powerful and important tools for conduction research in Data Science area. Optimization techniques can be used for mining and analytics of complex systems in Data Science field, which can greatly impact the decision making process in this area. This course covers linear and discrete optimization techniques including linear programming, integer programming, and network optimization; and emphasizes on how they can be applied to research problems. It focuses on effective formulation, techniques, basic mathematical and algorithmic concepts, and software solution of large-scale problems arising in Data Science applications.
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 9575 | M 4:00 - 6:45 pm |
Rahmanniyaychomachaei,Fahimeh | McCormack M03-0617 | |
|
Session:
Regular
Class Dates:
01/22/2024 - 05/08/2024
Capacity:
20
Enrolled:
4
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Course Attributes:
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