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TDDC17 Artificial Intelligence

Seminars


2012 Seminars!

Dates for the seminars are official. Content may be subject to change.

PDF files of slides will be accessible before each seminar. You have a choice between prinitng 2slides per page or 4slides per page.

Last Changed: 16 August, 2012 13:00


Week 35

  • Tue. 28/8 13-15 A2
    • Seminar 1: Course Introduction
    • Hour 1: What is AI?
    • Hour 2: The Intelligent Agent Paradigm.
    • Reading: ch1, ch2, ch26.
    • Slides: sem1:2sl/page, sem1:4sl/page
  • Wed. 29/8 10-12 C4
    • Seminar 2: Search I
    • Hour 1: Problem Solving Agent. Formulating Problems.
    • Hour 2: Introduction to Search. Uninformed search.
    • Reading: ch3: 3.1-3.4
    • Slides: sem2:2sl/page, sem2:4sl/page

Week 36

  • Tue. 4/9 13-15 A2
    • Seminar 3: Search II
    • Hour 1: Informed Search
    • Hour 2: Beyond Classical Search, Adverserial Search
    • Reading: ch3:3.5-3.7, ch4: 4.1-4.3, 4.6, ch5: 5.1-5.3
    • Slides: sem3:2sl/page, sem3:4sl/page
  • Wed. 5/9 10-12 A2
    • Seminar 4: Knowledge Representation I
    • Hour 1: Adversarial Search
    • Hour 2: Constraint Satisfaction Problems
    • Reading: ch5: 5.1-5.3 ch6: 6.1-6.3
    • Slides: sem4:2sl/page, sem4:4sl/page
  • Fri. 7/9 8-10 C4
    • Seminar 5 (FU): Knowledge Representation II (Guest Lecturer: Patrick Doherty)
    • Hour 1: Introduction to KR
    • Hour 2: Logic-based Agents, Wumpus World
    • Reading: ch7
    • Slides: sem5:2sl/page

Week 37

  • Tue. 11/9 13-15 A2
    • Seminar 6: Knowledge Representation III (Guest Lecturer: Patrick Doherty)
    • Hour 1: Propositional Logic and Resolution
    • Hour 2: 1st-order logic and resolution
    • Reading: ch8, ch9, ch12
    • Slides: sem6:2sl/page
  • Wed. 12/9 10-12 C1
    • Seminar 7 : Uncertain Knowledge and Reasoning
    • Hour 1: Probablility Theory
    • Hour 2: Bayesian Networks
    • Reading: ch13, ch14: 14.1-14.4
    • Slides: sem7:2sl/page, sem7:4sl/page

Week 38

  • Tue. 18/9 13-15 C4
    • Seminar 8: Planning I (Guest lecturer: Dr. Jonas Kvarnström)
    • Introduction to Planning
    • Classical Planning and Domain Definition Languages
    • Reading: ch10
    • Slides: Hours 1-4: sem8-9:4sl/page
  • Wed. 19/9 10-12 A2
    • Seminar 9: Planning II (Guest lecturer: Dr. Jonas Kvarnström)
    • Planning Algorithms
    • Reading: ch11

Week 39

  • Tue. 25/9 13-15 C4
    • Seminar 10: Machine Learning I (Guest lecturer: Olov Andersson)
    • Hour 1-2: Introduction, Supervised Learning
    • Reading: ch18: 18.1-18.4, 18.6-18.8, ch20: 20.2.2
    • Slides: sem10:2sl/page, sem10:4sl/page
  • Wed. 26/9 10-12 C4
    • Seminar 11: Machine Learning II (Guest lecturer: Olov Andersson)
    • Hour 1: Case Study: Decision Trees
    • Hour 2: Reinforcement Learning
    • Reading: ch17: 17.1-17-2, ch21: 21.1-21.4
    • Slides: sem11:2sl/page, sem11:4sl/page

Week 40

  • Tue. 2/10 13-15 C4
  • Wed. 3/10 10-12 A1

Week 41

  • Tue. 9/10 13-15 VISIONEN HUS B (The location of this seminar has been changed from C2 to VISIONEN in B-Hus across from the JAVA Cafe).
    • Seminar 11: WITAS UAV Project

Page responsible: Alexander Kleiner
Last updated: 2012-09-26