STATS 115
Probabilistic Decision Making
Statistics · 4 units · Undergraduate upper division (100-199)
Formulation of decision making problem as probabilistic inference. Derivation algorithms for solving probabilistic decision making. Implementation of code that executes inference and decision. Covers Markov decision process, planning, search, and reinforcement learning.
Letter grading.
Requisites
Official UCLA wording
Requisite: course 100A. Recommended preparation: experience with Python.
BruinTree reads · Prerequisite
confidence 1.00 · from textBruinTree reads · Recommended
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "experience with Python" (no course number found)
- · no course reference could be read from this requisite
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 115
- STATS 100AIntroduction to 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.