CS 794Optimization for Data Science
- Units
- 0.50
- Level
- Graduate
- Faculty
- Mathematics
- Subject
- Computer Science
- Cross-listed
- CO 673
CS 794 as listed in the Fall 2025 Graduate Calendar. The main page has the current version, when it runs, and seats.
Techniques for formulating data science models as optimization problems. Algorithms for solving data science problems with an emphasis on scalability, efficiency and parallelizability including gradient-descent based algorithms, derivative-free algorithms, and randomized algorithms. Theoretical analyses of algorithms and approaches for recognizing the most suitable algorithm for solving a particular problem.
Prerequisites
None listed.
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Check it elsewhere for Fall 2025
- Graduate Calendar, Fall 2025The archived entry
- Requirements for Fall 2025Waterloo’s requisite checker
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them