Computer Science


Lectures

Part 1 (week 1-2): Introduction to Game Technology - Burkhard

Part 2 (week 3-4): Ute

  1. Lecture 1: Introduction to Games and AI (3.8.2004)
    • Handout given out during the lecture
  2. Finite State Machines and Computer Games (5.8.2004)
    • Handout given out during the lecture
  3. Game Trees (4.8.2004)
    • Handout given out during the lecture
  4. Games as a Search Problem - Example: Chess (10.8.2004)
    • Handout given out during the lecture
  5. Decision Trees and Rule-Based Systems (12.8.2004)
    • >Handout given out during the lecture
  6. Using N-Gram Statistical Models to Predict Player Behaviour and Aspects of Practical Natural Language Learning for Games
    • Handout given out during the lecture
    Copies of the handouts can be collected from my office, room 303.388.

Part 3 (weeks 5-8): Jarno

  1. Scene organisation
  2. Space subdivision
  3. Visibility preprocessing
  4. Portals and view frustum culling
  5. Don't forget assignment 3 on the assignments page
  6. Handout on Gaggle and network gaming
  7. Advanced billboarding
  8. Collision detection
  9. Terrain rendering with multiple levels of detail
  10. Vertex and fragment shaders
  11. Shadow and light

Part 4 (weeks 9-10): Hans

  1. A* Path Planning
  2. Skeleton-Based Path Finding
  3. Fuzzy Logic for Games

Part 5 (weeks 11-12): Pat

  1. Flocking: A simple Technique for Simulating Group Behaviour
  2. A Neural Net Primer
  3. Aspects of Genetic Programming applied to a Games


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