COSC 343 2010

Artificial Intelligence

Lectures

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Click for a PDF Date Topic Reading
Lecture 1 01/03 Introduction AIMA Ch1; Ch2.1, 2.2, 2.4
Lecture 2 03/03 Starting from scratch: robotics and embodied AI no reading
Lecture 3 08/03 Uninformed search AIMA Ch3 (leave out 3.5 and 3.6)
Lecture 4 10/03 Informed search AIMA Ch4 Sections 1 and 2
Lecture 5 15/03 Adversarial search AIMA Ch6 Sections 1--3
Lecture 6 17/03 Propositional logic AIMA Ch7 Sections 1--4
Lecture 7 22/03 Inference in propositional logic AIMA Ch7 Sections 5--8
Lecture 8 24/03 First-order logic AIMA Ch8 Sections 1--3
Lecture 9 29/03 Inference in first-order logic AIMA Ch9 Sections 1--4
Lecture 10 31/03 Working with first-order logic AIMA Ch10 Sections 1--3
04/04--11/04 Mid-semester break
Lecture 11 12/04 Learning from observations AIMA Ch 18.1-18.3
Lecture 12 14/04 Perceptron AIMA Ch 20.5, pp. 736-743
Lecture 13 19/04 Multilayer perceptron (MLP) AIMA Ch 20.5, pp. 744-748
Lecture 14 21/04 Applications of MLP NetTalk, LeNet, ALVINN
Lecture 15 26/04 Optimisation AIMA Ch 4.3-4.5
Lecture 16 28/04 Evolutionary robotics Lab of Intelligent Systems at EPFL
Lecture 17 03/05 Uncertainty AIMA Ch 13.1-13.3
Lecture 18 05/05 Probabilistic reasoning AIMA Ch 13.4-13.6
Lecture 19 10/05 Bayesian networks AIMA Ch 14.1-14.3 (up to p. 501, continuous variables)
Lecture 20 12/05 Inference in Bayesian networks AIMA Ch 14.4-14.5 (up to p. 517, why MCMC works)
Lecture 21 17/05 Probabilistic reasoning over time; Hidden Markov Models AIMA 15.1-15.3 (up to p. 551)
Lecture 22 19/05 Dynamic Bayesian networks; Speech recognition AIMA Ch 15.5-15.6
Lecture 23 24/05 Introduction to natural language AIMA Ch22 Section 1
Lecture 24 26/05 Grammars for natural language AIMA Ch22 Section 2
Lecture 25 31/05 Natural language semantics AIMA Ch22 Section 5
Lecture 26 02/07 Revision lecture past exam papers

Last modified: Tuesday, 01-Jun-2010 12:36:55 NZST