STATS C163
Generative Data Science
Statistics · 4 units · Undergraduate upper division (100-199)
Designed for students interested in generative data science, an emerging field in the intersection of generative artificial intelligence (AI), data science, and machine learning. Introduction to core concepts of generative data science, covering generation, evaluation, and utilization of generative data such as image, text, conversation, and tables. Focus on the evaluation of privacy-preserving effect of generative data. Concurrently scheduled with course C263.
P/NP or letter grading.
Requisites
Official UCLA wording
Enforced requisite: one course from course C161, Computer Science M146, Electrical and Computer Engineering M146, C147, or Mathematics 156.
BruinTree reads · Prerequisite
needs reviewconfidence 0.90 · from UCLA’s structured data- · "EC ENGR C147" is not in this catalog version
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS C163
- STATS C161Introduction to Machine Learning and Artificial Intelligence
- STATS 100BIntroduction to Mathematical Statistics
- MATH 170EIntroduction to Probability and Statistics 1: Probability
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.