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COM SCI 262A

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Learning and Reasoning with Bayesian Networks

Requisite: course 112 or Electrical Engineering 131A.

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18 courses across 5 departments, 3 choice points · 4 requisite links run off the edge of this view

COM SCI 262A — Learning and Reasoning with Bayesian NetworksCOM SCI 262ALearning and Reasoning…COM SCI 112 — Modeling Uncertainty in Information SystemsCOM SCI 112Modeling Uncertainty i…COM SCI 111 — Operating Systems PrinciplesCOM SCI 111Operating Systems Prin…COM SCI 32 — Introduction to Computer Science IICOM SCI 32Introduction to Comput…COM SCI 33 — Introduction to Computer OrganizationCOM SCI 33Introduction to Comput…COM SCI 35L — Software ConstructionCOM SCI 35LSoftware ConstructionC&EE 110 — Introduction to Probability and Statistics for EngineersC&EE 110Introduction to Probab…MATH 32A — Calculus of Several VariablesMATH 32ACalculus of Several Va…MATH 33A — Linear Algebra and ApplicationsMATH 33ALinear Algebra and App…MATH 170A — Probability Theory IMATH 170AProbability Theory IMATH 32B — Calculus of Several VariablesMATH 32BCalculus of Several Va…MATH 131A — AnalysisMATH 131AAnalysisSTATS 100A — Introduction to ProbabilitySTATS 100AIntroduction to Probab…EC ENGR 131A — Probability and StatisticsEC ENGR 131AProbability and Statis…MATH 31B — Integration and Infinite SeriesMATH 31BIntegration and Infini…MATH 33B — Differential EquationsMATH 33BDifferential EquationsCOM SCI 262Z — Current Topics in Cognitive SystemsCOM SCI 262ZCurrent Topics in Cogn…STATS M241 — Current Topics in Causal Modeling, Inference, and ReasoningSTATS M241Current Topics in Caus…some ofone ofAlso satisfied by MATH 3B, not drawn in this view.one of +1
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