Class Schedule

16/09/2015 09:45 - 11:15 Lecture 1Intro to Visual Analytics (P. Isenberg)
16/09/2015 11:30 - 13:00 Tutorial 1Introduction to R (P. Isenberg)
16/09/2015 14:00 - 15:30 Lecture 2Data Collection + Data and Ethics (P. Isenberg)
16/09/2015 15:45 - 17:15 Tutorial 2Data Collection (P. Isenberg)
  
23/09/2015 09:45 - 11:15 Lecture 3Data Cleaning / Wrangling (P. Isenberg)
23/09/2015 11:30 - 13:00 Tutorial 3Data Cleaning (P. Isenberg)
23/09/2015 14:00 - 15:30 Lecture 4Sensemaking & Analysis Processes (P. Isenberg)
23/09/2015 15:45 - 17:15 Tutorial 4Tableau 1 (P. Isenberg)
  
30/09/2015 14:00 - 15:30 Lecture 5Introduction to Statistics (P. Dragicevic)
30/09/2015 15:45 - 17:15 Tutorial 5Basic Stats with R (P. Dragicevic)
  
07/10/2015 09:45 - 11:15 Lecture 6Reproducible Research (P.Isenberg)
07/10/2015 11:30 - 13:00 Tutorial 6Reproducible Research in R (P. Isenberg)
07/10/2015 11:30 - 13:00 Lecture 7Visual Analytics Tools (Student Presentations) (P. Isenberg)
07/10/2015 14:00 - 15:30 Tutorial 7Tableau 2 - Project Preparation (P. Isenberg)
  
04/11/2015 09:45 - 11:15 Lecture 8Analysis at Scale (P. Isenberg)
04/11/2015 11:30 - 13:00 Lecture 9Application Areas (P. Isenberg)
04/11/2015 14:00 - 15:30 Tutorial 8Student Project Presentations
04/11/2015 15:45 - 17:15 Tutorial 9Student Project Presentations

Paris Sud
For all details in regards to this part of the class, please visit the course website for the Information Visualization Course