DATASCI 315
Statistics and Artificial Intelligence
Statistical concepts are increasingly integrated into Artificial Intelligence applications, which often draw on a large amount of data received, transmitted, and generated by computers or networks of computers. This course introduces students to statistical and machine learning techniques such as deep neural networks, with applications to analyzing text and image data.
Prerequisites & course information
(STATS 250 or STATS 206 or STATS 280 or STATS 412 or IOE 265 or DATASCI 101) and (STATS 306 or DATASCI 306 or EECS 183 or ENG 101) and (MATH 116 or MATH 121 or MATH 156 or MATH 176 or MATH 186 or any 200+ level MATH course except for MATH 201). (Prerequisites enforced at registration.) (4). (BS). May not be repeated for credit.
Sources
- Course catalogue ↗2026-2027