Difference between revisions of "Lesson Plan"
Jump to navigation
Jump to search
Tag: Undo |
Tag: Undo |
||
| Line 47: | Line 47: | ||
|3||6 Sep 2019||[[Lesson 3|Lesson 3: Analytical Interactive and Animation]]|| | |3||6 Sep 2019||[[Lesson 3|Lesson 3: Analytical Interactive and Animation]]|| | ||
|- | |- | ||
| − | |4||13 Sep 2019||[[Lesson 4|Lesson 4: Visualising and Analysing | + | |4||13 Sep 2019||[[Lesson 4|Lesson 4: Visualising and Analysing Time-series Data ]]|| |
|- | |- | ||
| − | |5||20 Sep 2019||[[Lesson 5|Lesson 5: Visualising and Analysing | + | |5||20 Sep 2019||[[Lesson 5|Lesson 5: Visualising and Analysing Geographical Data ]]|| |
|- | |- | ||
| − | |6||27 Sep 2019||[[Lesson 6|Lesson 6: | + | |6||27 Sep 2019||[[Lesson 6|Lesson 6: Programming Data Visualisation with R: Methods, Approaches and Best Practices]]|| |
|- | |- | ||
| − | |7||4 Oct 2019||[[Lesson 7|Lesson 7: Visualising and Analysing | + | |7||4 Oct 2019||[[Lesson 7|Lesson 7: Visualising and Analysing Multivariate Data]]|| |
|- | |- | ||
|8||11-12 Oct 2019||[[Mid-Term Break]]|| | |8||11-12 Oct 2019||[[Mid-Term Break]]|| | ||
|- | |- | ||
| − | |9||18 Oct 2019||[[Lesson 8|Lesson 8: | + | |9||18 Oct 2019||[[Lesson 8|Lesson 8: Building Web-enabled Visual Analytics Applications in R with Shiny]]|| |
|- | |- | ||
| − | |10||25 Oct 2019||[[Lesson 9|Lesson 9: | + | |10||25 Oct 2019||[[Lesson 9|Lesson 9: GeoVisual Analytics with R]]|| |
|- | |- | ||
| − | |11||1 Nov 2019||[[Lesson 10|Lesson 10: | + | |11||1 Nov 2019||[[Lesson 10|Lesson 10: Visual and Analysing Graph Network Data]]|| |
|- | |- | ||
|12||8 Nov 2019||[[Lesson 11|Lesson 11: Information Dashboard Design]]|| | |12||8 Nov 2019||[[Lesson 11|Lesson 11: Information Dashboard Design]]|| | ||
Latest revision as of 11:16, 31 December 2019
IS428 Visual Analytics for Business Intelligence
|
|
|
|
|
|
|
| Week | Date | Topic | Remarks |
| 1 | 23 Aug 2019 | Lesson 1: Introduction to Visual Analytics | |
| 2 | 30 Aug 2019 | Lesson 2: Designing Graphs to Enlighten | |
| 3 | 6 Sep 2019 | Lesson 3: Analytical Interactive and Animation | |
| 4 | 13 Sep 2019 | Lesson 4: Visualising and Analysing Time-series Data | |
| 5 | 20 Sep 2019 | Lesson 5: Visualising and Analysing Geographical Data | |
| 6 | 27 Sep 2019 | Lesson 6: Programming Data Visualisation with R: Methods, Approaches and Best Practices | |
| 7 | 4 Oct 2019 | Lesson 7: Visualising and Analysing Multivariate Data | |
| 8 | 11-12 Oct 2019 | Mid-Term Break | |
| 9 | 18 Oct 2019 | Lesson 8: Building Web-enabled Visual Analytics Applications in R with Shiny | |
| 10 | 25 Oct 2019 | Lesson 9: GeoVisual Analytics with R | |
| 11 | 1 Nov 2019 | Lesson 10: Visual and Analysing Graph Network Data | |
| 12 | 8 Nov 2019 | Lesson 11: Information Dashboard Design | |
| 13 | 15 Nov 2019 | Lesson 12: The Epilog | |
| 14 | 22 Nov 2019 | Townhall Presentation | 11.30am-4.00pm |
| 15 | 29 Nov 2019 | Examination | |
| 16 | 6 Dec 2019 | Examination |
