Introduction of Information Visualization and Visual Analytics
(Summer Term 2012)
INF-11-57-V-6

Last modified: 18.06.2012

• Exercise 0 online.
• Exercise 1 online.
• Exercise 2 online.
• Exercise 3 online.
• Exercise 4 online.

 

Lectures:

• Dates:
  • Monday, 08:15 - 09:45, 48-462 (weekly)
  • No lecture:
    • Monday, 25.06.2012


• Lecturer:
  Dr. Dirk Zeckzer, 36-209
  E-Mail: zeckzer@informatik.uni-kl.de
  
  
• Script:
  The slides for the lecture will be available under the following electronic links. Please note that there can be updates during the lectures. These updates will be marked.
  
  • Chapter 0 (PDF) {Organization}
  • Chapter 1 (PDF) {Introduction}
  • Chapter 2 (PDF) {Data Mining}
  • Chapter 3 (PDF) {Neural Networks}
  • Chapter 4 (PDF) {Clustering & Dimensionality Reduction}
  • Chapter 5 (PDF) {Perception Theory}
  • Chapter 5b (PDF) {Presentations}
  • Chapter 6 (PDF) {Evaluation}

Exercises:

• Dates:
  • Monday, 13:45 - 15:15, 36-232
  
  
  • April 23rd
  • May 7th
  • May 21st
  • June 4th
  • June 18th
  • July 2nd
  • July 16th
• For questions please contact Dr. Dirk Zeckzer (36-209).
  Email: zeckzer@informatik.uni-kl.de
  
• Please hand in the exercise via email until the specified date.
  
  • Exercise 0 no deadline
  • Exercise 1 Mai 4
  • Exercise 2 Mai 25
  • Exercise 3 June 8
  • Exercise 4 June 29

Additional Information:

• The datasets used in the lecture:
  

  Soybean: Soybean Dataset

  Iris: Iris Dataset

  CPU performance: CPU performance dataset

  Lens: Lens dataset

  Weather: Weather dataset (Zip)

Grades and Exams:

• For success the exercises should be solved and an oral exam should be performed.