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Computational Cognitive Science >> Content Detail



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Calendar

Lec #Topicskey dates
1Introduction
2Foundations of Inductive Learning
3Knowledge Representation: Spaces, Trees, FeaturesProblem set 1 out
4Knowledge Representation: Language and Logic 1
5Knowledge Representation: Language and Logic 2
6Knowledge Representation: Great Debates 1Problem set 1 due
7Knowledge Representation: Great Debates 2
8Basic Bayesian InferenceProblem set 2 out
9Graphical Models and Bayes Nets
10Simple Bayesian Learning 1
11Simple Bayesian Learning 2Problem set 2 due
12Probabilistic Models for Concept Learning and Categorization 1Problem set 3 out
13Probabilistic Models for Concept Learning and Categorization 2Pre-proposal due
14Unsupervised and Semi-supervised Learning
15Non-parametric Classification: Exemplar Models and Neural Networks 1Problem set 3 due
16Non-parametric Classification: Exemplar Models and Neural Networks 2
17Controlling Complexity and Occam's Razor 1Proposal due
18Controlling Complexity and Occam's Razor 2Problem set 4 out
19Intuitive Biology and the Role of Theories
20Learning Domain Structures 1
21Learning Domain Structures 2Problem set 4 due
22Causal Learning
23Causal Theories 1
24Causal Theories 2
25Project PresentationsProject due

 








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