| Professor |
Prof. Dr. Andreas Kerren
|
| Time & Place |
Compare here!
In general, the lectures will take place in room B3033 in Building B.
|
| Teaching Period |
III (2020-01-20 till 2020-03-20)
|
| Assessment |
Assignments AND oral examinations. Oral examinations will take place via Zoom in week 12.
|
| Prerequisites |
90 credits in Computer Science including a course in Programming and Data Structures (1DV007) or equivalent.
|
| Credits |
7.5 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 as well as applications. Covered
topics are among others: interaction techniques, visulization techniques (e.g., level of detail,
navigation, focus and context, focussing, 2D/2.5D/3D, ...), or
visualization of hierarchical data.
The course Applied Information Visualization extends this course with visualization techniques and systems for special data sets.
|
| Schedule |
Preliminary Schedule:
| # |
Date |
Topic |
Slides |
| 1 |
2020 01 21 |
Introduction and Motivation |
|
| 2 |
2020 01 28 |
Perception Theory I |
|
| 3 |
2020 02 04 |
Perception Theory II |
↑
|
| 4 |
2020 02 11 |
Basics in Information Visualization |
|
| 5 |
2020 02 18 |
Interaction I (Dynamic Queries) |
|
| 6 |
2020 02 25 |
Interaction II (Zoom&Pan, Overview&Detail) |
↑
|
| 7 |
2020 03 03 |
Interaction III (Focus&Context) |
↑
|
| 8 |
2020 03 10 |
1D, 2D, 3D, and Multidimensional Data |
|
| 9 |
2020 03 17 |
Hierarchies |
|
|
| 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: 2020-01-27, Presentation: 2020-01-28, 15:00-16:45, Room B3033V)
- Assignment 2 (Deadline: 2020-02-10, Presentation: 2020-02-11, 15:00-16:45, Room B3033V)
- Assignment 3 (Deadline: 2020-02-24, Presentation: 2020-02-25, 15:00-16:45, Room B3033V)
- Assignment 4 (Deadline: 2020-03-16, Presentation: 2020-03-17, 15:00-16:45, Room B3033V)
|
| 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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