A

Probabilistic reasoning (FC)
 Slides (NOV 03,
NOV 08 and NOV 10 (cancelled, Encontros Universitários) and NOV 22  Last update NOV 22

 Probability refresher (Definitions, rules, tables, conditional probability)
 Probabilistic reasoning
 Prior, likelihood and posterior

B 
Graph concepts (FC)

 Definitions
 Numerical encoding (edge lists, adjacency matrices, clique matrices)

C

Belief networks (FC)

 Structure (independencies and specifications)
 Uncertain and unreliable evidence
 Belief networks (conditional independence, collisions, path manipulations for independence, dseparation, graphical and distributional in/dependence, Markov equivalence, expressibility of belief networks)
 Causality (Simpson's paradox, docalculus, influence diagrams)
