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Course

Code:	CS 322
Subject:	Computer Science
Topic:	Artificial Intelligence
Views:	38,571

Educator

Name:	University of British Columbia (UBC)
Type:	University

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Instructor

Name

Alan Mackworth

Introduction to Artificial Intelligence with Alan Mackworth

Video Lectures

Displaying all 34 video lectures.

I. Introduction to AI
Lecture 1 Play Video	Intro 1: What is Artificial Intelligence?
Lecture 2 Play Video	Intro 2: Representational Dimensions
Lecture 3 Play Video	Intro 3: Applications of AI
II. Search
Lecture 4 Play Video	Search 1: Representation & Search Framework
Lecture 5 Play Video	Search 2: BFS and DFS
Lecture 6 Play Video	Search 3: Search with Costs & Heuristic Search
Lecture 7 Play Video	Search 4: Heuristic Search: A*
Lecture 8 Play Video	*Search 5: A Optimality, Cycle Checking**
Lecture 9 Play Video	Search 6: Iterative Deepening (IDS) and IDA*
Lecture 10 Play Video	Search 7: Multiple Path Pruning, IDS and IDA*
III. Constraint Satisfaction Problems (CSP)
Lecture 11 Play Video	CSP 1: Branch & Bound, CSP: Intro
Lecture 12 Play Video	CSP 2: Solving CSP Using Search
Lecture 13 Play Video	CSP 3: Arc Consistency
Lecture 14 Play Video	CSP 4: GAC Algorithm and Domain Splitting for CSPs
Lecture 15 Play Video	CSP 5: Local Search
Lecture 16 Play Video	CSP 6: Stochastic Local Search
Lecture 17 Play Video	CSP 7: Stochastic Local Search Algorithms
IV. Planning
Lecture 18 Play Video	Planning 1: Representation
Lecture 19 Play Video	Planning 2: Forward Planning and CSP Planning
Lecture 20 Play Video	Planning 3: CSP Planning Wrap Up
V. Logic
Lecture 21 Play Video	Logic 1: Intro & Propositional Definite Clause Logic
Lecture 22 Play Video	Logic 2: Proof Procedures, Soundness and Completeness
Lecture 23 Play Video	Logic 3: Bottom-up and Top-down Proof Procedures
Lecture 24 Play Video	Logic 4: Top-Down Procedure, Datalog and Big Picture
VI. Uncertainty
Lecture 25 Play Video	Uncertainty 1: Probability Theory: Intro
Lecture 26 Play Video	Uncertainty 2: Conditional Probability, Bayes Rule, Chain Rule
Lecture 27 Play Video	Uncertainty 3: Independence
Lecture 28 Play Video	Uncertainty 4: Bayesian Networks Intro
Lecture 29 Play Video	Uncertainty 5: Independence and Inference
Lecture 30 Play Video	Uncertainty 6: Variable Elimination for Bayes Nets
VII. Decision Theory
Lecture 31 Play Video	Decision Theory 1: Uncertainty Wrap-Up, Single Decisions
Lecture 32 Play Video	Decision Theory 2: Single and Sequential Decisions
Lecture 33 Play Video	Decision Theory 3: Optimal Policies for Sequential Decisions
VIII. Conclusion
Lecture 34 Play Video	Perspectives and Final Review