COMPUTER PROGRAMMING FOR DATA SCIENCE
An introduction to computer programming designed to give an overview of programming and algorithmic topics commonly seen in Data Science, such creating and manipulating data structures, graphs, dynamic programming, sorting and heuristic search algorithms. Students learn how to think about these problems and how to structure effective solutions to them using Python. No prior programming knowledge is required or expected. In order to enroll in an online section of this course, you are expected to have a working camera and microphone. During class sessions, you must be able to participate using your microphone and you are expected to have your camera on for the duration of the class so that you are visible to the instructor and other students in the class, just as you would be in an in-person class.
Prerequisites & course information
Short Title: PROGRAMMING FOR DATA SCIENCE Department: Computer Science Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment limited to students in the following programs: MDS MEML OMCS OMDS OMEML Enrollment is limited to Graduate level students. Course Level: Graduate
Sources
- Course catalogue ↗2026–2027