Lecture Notes  (Last updated Mon 20 Aug 2012)

• Lecture 0 (Mon 24 Aug 2009) Artificial Intelligence: Course Organization and Survey
  -Lecture 0 Slides-PowerPoint PDF
  Camtasia recordings Lecture 0


• Lecture 01 (Wednesday, 26 Aug 2009) Intelligent Agents Overview
  Discussion: Machine Prob. 1, Term Projects 1 of 5
  -Lecture 01 Slides-PowerPoint PDF
  Camtasia recordings Lecture 1


• Lecture 02 (Friday, 28 Aug 2009) Problems Solving by Search
  Discussion: Term Projects 2 of 5
  -Lecture 02 Slides-PowerPoint PDF
  Camtasia recordings Lecture 2


• Lecture 03 (Monday, 31 Sep 2009) Search Problems
  Discussion: Term Projects 3 of 5
  -Lecture 03 Slides-PowerPoint PDF
  Camtasia recordings Lecture 3


• Lecture 04 (Wednesday, 02 Sep 2009) State Spaces, Graphs, Uninformed (Blind) Search: ID-DFS, Bidirectional, UCS/B&B
  Discussion: Term Projects 4 of 5
  -Lecture 04 Slides-PowerPoint PDF
  Camtasia recordings Lecture 4


• Lecture 05 (Friday, 04 Sep 2009) Informed Search: Best First Search (Greedy, A/A*) and Heuristics
  Discussion: Project Topics 5 of 5
  -Lecture 05 Slides-PowerPoint PDF
  Camtasia recordings Lecture 5


• (Monday, 07 Sep 2009) - Labor Day Break


• Lecture 06 (Wednesday, 9 Sep 2009) Informed Search: Local (Hill-Climbing, Beam) vs. Global (Simulated Annealing, Genetic)
  -Lecture 06 Slides-PowerPoint PDF
  Camtasia recordings Lecture 6


• Lecture 07 (Friday, 11 Sep 2009) Intro to Constraint Satisfaction Problems (CSP) & CSP Search
  Discussion: Search Recap
  -Lecture 07 Slides-PowerPoint PDF
  Camtasia recordings Lecture 7


• Lecture 08 (Monday, 14 Sep 2009) CSP Search Concluded: Arc Consistency (AC-3) Intro to Games and Game Tree Search
  -Lecture 08 Slides-PowerPoint PDF
  Camtasia recordings Lecture 8


• Lecture 09 (Wednesday, 16 Sep 2009) Game Tree Search: Minimax and Alpha-Beta (£\-£]) Pruning
  -Lecture 09 Slides-PowerPoint PDF
  Camtasia recordings Lecture 9


• Lecture 10 (Friday, 18 Sep 2009) Introduction to Knowledge Representation and Logic
  -Lecture 10 Slides-PowerPoint PDF
  Camtasia recordings Lecture 10


• Lecture 11 (Monday, 21 Sep 2009) Propositional Logic
  -Lecture 11 Slides-PowerPoint PDF
  Camtasia recordings Lecture 11


• Lecture 12 (Wednesday, 23 Sep 2009) Intro to First-Order Logic: Syntax and Semantics
  -Lecture 12 Slides-PowerPoint PDF
  Camtasia recordings Lecture 12


• Lecture 13 (Friday, 25 Sep 2009) FOL: The Frame Problem, Situation Calculus, and First-Order Inference
  -Lecture 13 Slides-PowerPoint PDF
  Camtasia recordings Lecture 13


• Lecture 14 (Monday, 28 Sep 2009) FOL: Unification, Forward and Backward Chaining, and Resolution Theorem Proving
  Discussion: GMP, Constraint Logic Programming
  -Lecture 14 Slides-PowerPoint PDF
  Camtasia recordings Lecture 14


• Lecture 15 (Wednesday, 30 Sep 2009) FOL: Resolution Strategies and Computability
  Discussion: Decidability and Logic
  -Lecture 15 Slides-PowerPoint PDF
  Camtasia recordings Lecture 15


• Lecture 16 (Friday, 03 Oct 2008) Knowledge Engineering and Ontology Engineering
  Discussion: Description Logics
  -Lecture 16 Slides-PowerPoint PDF
  Camtasia recordings Lecture 16


• Lecture 17 (Wednesday, 07 Oct 2009) Ontologies, Knowledge Engineering, and Elicitation of Domain Expertise
  Discussion: Actions, Situations, Events & Time
  -Lecture 17 Slides-PowerPoint PDF
  Camtasia recordings Lecture 17


• Lecture 18 (Friday, 09 Oct 2009) Knowledge Representation Concluded: KE, CIKM, & Representing Events over Time
  Discussion: Structure Elicitation, Event Calculus
  -Lecture 18 Slides-PowerPoint PDF
  Camtasia recordings Lecture 18


• Lecture 19 (Monday, 12 Oct 2009) Knowledge Representation and Midterm Review
  Discussion: Search, Inference, Planning
  -Lecture 19 Slides-PowerPoint PDF
  Camtasia recordings Lecture 19


• Lecture 20 (Wednesday, 14 Oct 2009) Introduction to Classical Planning: STRIPS & Partial-Order Planning (POP)
  -Lecture 20 Slides-PowerPoint PDF
  Camtasia recordings Lecture 20


• Lecture 21 (Monday, 19 Oct 2009) Planning: Graph Planning and Hierarchical Abstraction
  -Lecture 21 Slides-PowerPoint PDF
  Camtasia recordings Lecture 21


• Lecture 22 (Wednesday, 21 Oct 2009) Planning: Sensorless and Conditional Planning
  Discussion: More Abstraction & Hierarchical Task Networks (HTN)
  -Lecture 22 Slides-PowerPoint PDF
  Camtasia recordings Lecture 22


• Lecture 23 (Friday, 23 Oct 2009) Planning: More Hierarchical Task Networks (HTN), Sensorless & Conditional Planning
  -Lecture 23 Slides-PowerPoint PDF
  Camtasia recordings Lecture 23


• Lecture 24 (Monday, 26 Oct 2009) Planning: Monitoring & Replanning, Continuous Planning
  -Lecture 24 Slides-PowerPoint PDF
  Camtasia recordings Lecture 24


• Lecture 25 (Friday, 6 Nov 2009) Reasoning under Uncertainty: Knowledge Representation in Uncertain Domains
  Discussion: Diagnosis and Causal Reasoning
  -Lecture 25 Slides-PowerPoint PDF
  Camtasia recordings Lecture 25


• Lecture 26 (Friday, 30 Oct 2009) Reasoning under Uncertainty: Probability Review & Graphical Models Overview
  Discussion: Fuzzy Sets and Soft Computing
  -Lecture 26 Slides-PowerPoint PDF
  Camtasia recordings Lecture 26


• Lecture 27 (Monday, 2 Nov 2009) Reasoning under Uncertainty: Introduction to Graphical Models, Part 1 of 2
  -Lecture 27 Slides-PowerPoint PDF
  Camtasia recordings Lecture 27


• Lecture 28 (Wednesday, 4 Nov 2009) Reasoning under Uncertainty: Introduction to Graphical Models, Part 2 of 2
  -Lecture 28 Slides-PowerPoint PDF
  Camtasia recordings Lecture 28


• Lecture 30 (Monday, 9 Nov 2009) Reasoning under Uncertainty: Inference and Software Tools, Part 2 of 2
  Discussion: BNJ
  -Lecture 30 Slides-PowerPoint PDF
  Camtasia recordings Lecture 30


• Lecture 31 (Wednesday, 11 Nov 2009) Reasoning under Uncertainty: Uncertain Inference Concluded
  Discussion: Fuzzy Reasoning & D-S Theory
  -Lecture 31 Slides-PowerPoint PDF
  Camtasia recordings Lecture 31


• Lecture 32 (Friday, 13 Nov 2009) Machine Learning: Basic Concepts
  Discussion: Inductive Bias, Decision Trees
  -Lecture 32 Slides-PowerPoint PDF
  Camtasia recordings Lecture 32


• Lecture 33 (Monday, 16 Nov 2009) Machine Learning: Version Spaces & Decision Trees
  Discussion: Inductive Learning Hypothesis
  -Lecture 33 Slides-PowerPoint PDF
  Camtasia recordings Lecture 33


• Lecture 34 (Wednesday, 18 Nov 2009) Machine Learning: Decision Trees & Statistical Learning
  Discussion: Feedforward ANNs & Backprop
  -Lecture 34 Slides-PowerPoint PDF
  Camtasia recordings Lecture 34


• Lecture 35 (Friday, 20 Nov 2009) Machine Learning: Artificial Neural Networks
  Discussion: Feedforward ANNs & Backprop
  -Lecture 35 Slides-PowerPoint PDF
  Camtasia recordings Lecture 35


• Lecture 36 (Monday, 23 Nov 2009) Machine Learning: More ANNs, Genetic and Evolutionary Computation (GEC)
  Discussion: Genetic Programming
  -Lecture 36 Slides-PowerPoint PDF
  
  
• Lecture 37 (Monday, 30 Nov 2009) Genetic Programming
  Discussion: Schema Theory
  -Lecture 37 Slides-PowerPoint PDF
  Camtasia recordings Lecture 37


• Lecture 38 (Friday, 4 Dec 2009) Natural Language Processing, Part 1: Machine Translation
  -Lecture 38 Slides-PowerPoint PDF
  
  
• Lecture 40 (Monday, 7 Nov 2009) A Brief Survey of Computer Vision and Robotics
  -Lecture 40 Slides-PowerPoint PDF
  Camtasia recordings Lecture 40


• Lecture 38 Natural Language Processing, Part 1: Machine Translation
  -Lecture 38 Slides- PDF
  Lecture 38


• Lecture 39 Natural Language Processing, Part 2: Machine Translation
  -Lecture 39 Slides- PDF
  Lecture 39



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Page created: Mon 20 Aug 2012
Last updated: Mon 20 Aug 2012- WHH
William H. Hsu, CIS 530/730 instructor