Class Schedule

All times are given as st (sine tempore) - that means we start at the time given, not 15 minutes later.

Monday 
22/02/2016 09:00 - 10:30 Lecture 1Intro to Visual Analytics
22/02/2016 10:50 - 12:20 Tutorial 1Introduction to R
22/02/2016 13:30 - 15:00 Lecture 2Data Collection + Data and Ethics
22/02/2016 15:20 - 16:50 Tutorial 2Data Collection
Tuesday 
23/02/2016 09:00 - 10:30 Lecture 3Data Cleaning / Wrangling
23/02/2016 10:50 - 12:20 Tutorial 3Data Cleaning
23/02/2016 13:30 - 15:00 Lecture 4Introduction to Statistics
23/02/2016 15:20 - 16:50 Tutorial 4Basic Stats with R
Wednesday 
24/02/2016 09:00 - 10:30 Lecture 5Sensemaking & Analysis Processes
24/02/2016 10:50 - 12:20 Tutorial 5Tableau 1
24/02/2016 13:30 - 15:00 Lecture 6Reproducible Research
24/02/2016 15:20 - 16:50 Tutorial 6Reproducible Research in R
Thursdaynote the different time schedule on this day
25/02/2016 10:00 - 11:00 Lecture 6Seminar Series Talk: Novel display technology for visualization and visual analytics
25/02/2016 11:30 - 13:00 Tutorial 6Finish assignments
25/02/2016 14:00 - 15:30 Lecture 7Analysis at Scale
25/02/2016 15:50 - 17:20 Tutorial 7Tableau 2 - Project Preparation
Friday 
26/02/2016 09:00 - 12:00Project Work