Learning and Reasoning with Bayesian Networks
This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program. It is available only to students pre-approved by HSSEAS. See below for more information.
About this course:
CS 262A Learning and Reasoning with Bayesian Networks (Instructor: Darwiche, A.) Lecture, four hours; outside study, eight hours. Requisite: course 112 or Electrical Engineering 131A. Review of several formalisms for representing and managing uncertainty in reasoning systems; presentation of comprehensive description of Bayesian inference using belief networks representation. Letter grading.Winter 2020 Schedule
Available Format(s):
These courses are fully online, and there are no in-person classroom meetings.
Restricted course. For permission to enroll contact UCLA's MSOL Program: (310) 825-6542 or admissions@seas.ucla.edu at least 2 weeks before course starts. Visitors not permitted. Restricted course; call (310) 206-6794 for permission to enroll. Web enrollments automatically generate a "Permission to Enroll" request.
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