CMPSC 25
Data Programming and Analytics for Artificial Intelligence
Course delves into essential programming, algorithmic, and data analytics techniques foundational to artificial intelligence. Topics include data acquisition, cleaning, transformation, modeling, sampling, visualization and simulation, statistical programming, hypothesis testing, inference, with applications in artificial intelligence. Students will apply these concepts through hands-on Python projects, gaining practical experience in using data analytics to develop intelligent systems.
Topics
- data acquisition
- cleaning
- transformation
- modeling
- sampling
- visualization and simulation
- statistical programming
- hypothesis testing
- inference
- with applications in artificial intelligence
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027