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Important Links

Lecture Slides

NoTopicDateSlides
A1Organizational Matters26.02.

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A2What is Artificial Intelligence?26.02.

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A3AI Past and Present28.02.

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A4Rational Agents28.02.

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A5Introduction: Environments and Problem Solving Methods04.03.

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B1State-Space Search: State Spaces04.03.

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B2State-Space Search: Representation of State Spaces06.03.

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B3State-Space Search: Examples of State Spaces06.03.

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B4State-Space Search: Data Structures for Search Algorithms11.03.

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B5State-Space Search: Tree Search and Graph Search11.03.

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B6State-Space Search: Breadth-first Search13.03.

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B7State-Space Search: Uniform Cost Search13.03.

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B8State-Space Search: Depth-first Search & Iterative Deepening18.03.

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B9State-Space Search: Heuristics18.03.

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B10State-Space Search: Analysis of Heuristics20.03.

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B11State-Space Search: Best-first Graph Search20.03.

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B12State-Space Search: Greedy BFS, A*, Weighted A25.03.

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B13State-Space Search: IDA25.03.

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B14State-Space Search: Properties of A, Part I27.03.

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B15State-Space Search: Properties of A, Part II27.03.

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C1Combinatorial Optimization: Introduction and Hill-Climbing03.04.

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C2Combinatorial Optimization: Advanced Techniques03.04.

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D1Constraint Satisfaction Problems: Introduction and Examples08.04.

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D2Constraint Satisfaction Problems: Constraint Networks08.04.

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D3Constraint Satisfaction Problems: Backtracking10.04.

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D4Constraint Satisfaction Problems: Arc Consistency10.04.

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D5Constraint Satisfaction Problems: Path Consistency15.04.

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D6Constraint Satisfaction Problems: Constraint Graphs15.04.

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D7Constraint Satisfaction Problems: Decomposition Methods17.04.

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E1Propositional Logic: Syntax and Semantics17.04.

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Exercises

are provided via ADAM

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