DSC 40ATheoretical Foundations of Data Science I
The sequence DSC 40A/R-B/R introduces the theoretical foundations of data science. DSC 40A/R, the first course in the sequence, exposes students to the mathematical theory underlying fundamental topics in machine learning. Topics include empirical risk minimization, optimization, regression, classification, and discrete probability. Students practice creative problem-solving while learning how to rigorously justify and communicate mathematical ideas.
Prerequisites
From the catalog: “DSC 10/R, (MATH 20C or MATH 31BH) and (MATH 18 or MATH 20F or MATH 31AH). Restricted to students within the DS25 major. All other students will be allowed as space permits.”
Where it sits in degree plans
Suggested plans most often put it in Year 2 · Fall (1 program).
Required in (1)
- Data Science (B.S.)