| Teacher |
Dr. Ilir Jusufi
|
| Time & Place |
Compare here!
In general, the lectures will take place in room D1167 in Building D and online via Zoom.
|
| Teaching Period |
I (2021-08-31 till 2021-10-26)
|
| Assessment |
Assignments AND oral examinations. Oral examinations will take place in room D1167 in Building D and online via Zoom in week 44.
|
| Prerequisites |
General entry requirements.
|
| Credits |
5 ECTS
|
| Topic |
Basics in Information Visualization
Information Visualization (InfoVis) covers the development of tools for better understanding
and analyses of abstract information using the human visual system. Abstract information
can normally not be transferred into the physical world. This course gives you an overview
of the most important techniques of this research area including fundamentals. Covered
topics are among others: visual perception, interaction techniques (e.g., level of detail,
navigation, focus and context, ...), and visualization techniques for multi-dimensional data sets (tables).
|
| Schedule |
Preliminary Schedule:
| # |
Date |
Topic |
Slides |
| 1 |
2021 08 31 |
Introduction and Motivation |
|
| 2 |
2021 09 07 |
Perception Theory I |
|
| 3 |
2021 09 14 |
Perception Theory II |
↑
|
| 4 |
2021 09 21 |
InfoVis Basics (Reference and Design Models) |
|
| 5 |
2021 09 28 |
InfoVis Basics (Data/Task Abstractions) |
↑
|
| 6 |
2021 10 05 |
Interaction I (Dynamic Queries) |
|
| 7 |
2021 10 12 |
Interaction II (Zoom&Pan, Overview&Detail) |
↑
|
| 8 |
2021 10 19 |
Interaction III (Focus&Context) |
↑
|
| 9 |
2021 10 26 |
1D, 2D, 3D, and Multidimensional Data |
|
|
| Materials |
Learning Environment:
Visualization Tools and Libraries:
- D3 (JavaScript)
- Vega (JavaScript; based on D3)
- Vega-Lite (JavaScript; based on D3 and Vega)
- plotly.js (JavaScript; based on D3)
- nivo (JavaScript; based on D3 and React)
- Victory (JavaScript; based on D3 and React)
- Chart.js (JavaScript)
- vis.js (JavaScript)
- Highcharts (JavaScript)
- Google Charts (JavaScript)
- Rickshaw (Temporal data; JavaScript; based on D3)
- Leaflet (Geospatial data (maps); JavaScript)
- Sigma (Graph/network data; JavaScript)
- Bokeh (Python; generates a web-based visualization)
- Dash (Python or R; generates a web-based visualization using plotly.js)
- plotly.py (Python; generates a web-based visualization using plotly.js)
- Altair (Python; generates a web-based visualization using Vega and Vega-Lite)
- mpld3 (Python; generates a web-based visualization using D3)
- Shiny (R; generates a web-based visualization)
- Shiny Dashboard (R; generates a web-based visualization using Shiny)
- Tableau (Visualization environment, Dashboards)
- QlikView (Visualization environment, Dashboards)
- Power BI (Visualization environment, Dashboards)
- Visualize Free (Online, Dashboards)
- Keshif Online (Online, Dashboards)
- yFiles (Several platforms)
- Gephi (The Open Graph Viz Platform; Java)
- Processing (Environment for graphics programming; several platforms)
- Improvise (Java)
- JFreeChart (Java)
- ggplot2 (R)
- Chaco (Python)
- Matplotlib (Python)
No longer in active development (not recommended for assignments):
Interesting URLs:
|
| Assignments |
Assignments consist of theoretical and practical exercises. They will be supervised by
Angelos Chatzimparmpas.
Assignments:
- Assignment 1 (Deadline: 2021-09-06, Presentation: 2021-09-07, 15:15-17:00, online via Zoom)
- Assignment 2 (Deadline: 2021-09-20, Presentation: 2021-09-21, 15:15-17:00, room D1167V or online via Zoom)
- Assignment 3 (Deadline: 2021-10-11, Presentation: 2021-10-12, 15:15-17:00, room D1167V or online via Zoom)
- Assignment 4 (Deadline: 2021-11-01, Presentation: 2021-11-02, 15:15-17:00, room D1167V or online via Zoom)
|
| Open Theses |
We permanently offer interesting topics for Bachelor's and Master's Theses that are related to Information Visualization and Software Visualization.
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