TDDC17 Artificial Intelligence

Lectures

2023 Fall Lectures!

The schedule and content for the 2023 Fall Lectures is mostly updated.

2023 slides will be posted incrementally, before each lecture, old slides still available.

Last Changed: 16 August, 2023 16:58

Week 35

• Tue. 29/08 13-15 C1
  • Lecture 1: Course Introduction, History of AI (Lecturer: Fredrik Heintz)
  • Hour 1: What is AI? Philosophical and mathematical roots.
  • Hour 2: The Intelligent Agent Paradigm.
  • Reading: ch1, ch2, ch27[27.1-2]. Turing article.
  • Slides: Le1 (2023)
• Thu. 01/09 08-10 C1
  • Lecture 2: Search I (Lecturer: Fredrik Heintz)
  • Hour 1: The physical symbol system hypothesis. Introduction to search.
  • Hour 2: Uninformed search.
  • Reading: ch3:[3.1-3.4], Newell and Simon article.
  • Slides: Le2 (2023)

Week 36

• Mon. 04/09 10-12 A1
  • Lecture 3: Search II (Lecturer: Fredrik Heintz)
  • Hour 1: Informed Search
  • Hour 2: Beyond Classical Search, Adverserial Search
  • Reading: ch3:[3.5-3.6], ch4:[4.1], ch6: [6.1-6.4]
  • Slides: Le3 (2023)
• Tue. 05/09 13-15 A1
  • Lecture 4: Constraint Satisfaction (Lecturer: Jendrik Seipp)
  • Reading: ch5: 5.1-5.4
  • Slides: Le4 (2023)
  • Slides: MCTS (2023)
• Fri. 08/09 15-17 A1
  • Lecture 5: Machine Learning I (Lecturer: Fredrik Heintz)
  • Hour 1: Introduction to Machine Learning
  • Hour 2: Supervised Learning
  • Reading: ch19: 19.1-19.4, 19.6, ch21: 21.1
  • Slides: Le5 (2023)

Week 37

• Mon. 11/09 10-12 A1
  • Lecture 6: Machine Learning II (Lecturer: Fredrik Heintz)
  • Hour 1: Neural Networks
  • Hour 2: Deep Generative Models
  • Reading: ch22: 22.1-22.4.1, 22.6, 22.8
  • Slides: Le6 (2023)
• Tue. 12/09 13-15 A1
  • Lecture 7 : Machine Learning III (Lecturer: Fredrik Heintz)
  • Reinforcement Learning
  • Reading: ch16: 16.1-2, ch23: 23.1-23.4.3
  • Slides: Le7 (2023)
• Fri. 15/09 15-17 A2
  • Lecture 8 : Knowledge Representation I (Lecturer: Jendrik Seipp)
  • Propositional Logic: Syntax, Semantics, Conjunctive Normal Form
  • Reading: ch7 (7.7.3-4 not required)
  • Slides: Le8 (2023)

Week 38

• Mon. 18/09 10-12 C1
  • Lecture 9: Knowledge Representation II (Lecturer: Jendrik Seipp)
  • Propositional Logic: Resolution, DPLL
  • Reading: ch7: 7.6, ch8: 8.1-2:
  • Slides: Le9 (2023)
• Tue. 19/09 13-15 C4
  • Lecture 10: Knowledge Representation III (Lecturer: Jendrik Seipp)
  • Propositional Logic: Local Search and Hardness
  • Reading: ch9: 9.1, 9.3.1, 9.3.2, 9.4.2, 9.4.3,9.4.4, ch10: 10.6.1
  • Slides: Le10 (2023)
• Fri. 22/09 15-17 C1
  • Lecture 11: Bayesian Networks (Lecturer: Fredrik Heintz)
  • Hour 1: Probablility Theory
  • Hour 2: Bayesian Networks
  • Reading: ch12, ch13: 13.1, 13.2.1
  • Slides: Le11 (2023)

Week 39

• Mon. 25/09 10-12 C1
  • Lecture 12: Planning 1+2 (Lecturer: Jendrik Seipp)
  • Planning Formalisms
  • Heuristics
  • Abstractions
  • Pattern Databases
  • Reading: ch11: 11.1, 11.2.1, 11.3.2
  • Slides: Le12 part 1 (2023)
  • Slides: Le12 part 2 (2023)
• Tue. 26/09 13-15 C1
  • Lecture 13: Planning II (Lecturer: Jendrik Seipp)
  • Delete Relaxation Heuristics
  • Slides: Le13 part 1 (2023)
  • Slides: Le13 part 2 (2023)
• Fri. 29/09 15-17 C1
  • Lecture 14: Planning III (Lecturer: Jendrik Seipp)
  • Stochastic Shortest Path Problems
  • Markov Decision Processes
  • Linear Programming for MDPs
  • Policy Iteration
  • Value Iteration
  • Reading: ch16: 16.1, 16.2
  • Slides: Le14 part 1 (2023)
  • Slides: Le14 part 2 (2023)

Week 40

• Mon. 02/10 10-12 A1
  • Lecture 15: Robotics/Perception I (Lecturer: Piotr Rudol)
  • Reading: Chapt. 25
  • Slides: Le15 (2023)
• Tue. 03/10 13-15 A1
  • Lecture 16: Robotics/Perception II (Lecturer: Mariusz Wzorek)
  • Reading: Chap 26
  • Slides: Le16 (2023)
• Fri. 06/10 15-17 A1
  • Lecture 17: Course Summary and Discussion (Lecturer: Fredrik Heintz)
  • Slides: Le17 (2023)

Page responsible: Fredrik Heintz
Last updated: 2023-10-05