News
All information about the lecture (Zoom links, slides, etc) can be found on TUWEL.
Please post your questions about the lecture in the TUWEL forum.
Content
The VU Visual Data Science will discuss how techniques from visualisation and visual analytics can be applied to data science. The lecture will start with a theoretical introduction to different concepts of visualisation and visual analytics (lecture 1 & 2). The second part of the lecture (lecture 3-5) will deal with the practical application of Visual Data Science, namely the selection of charts, and trust in visualisations. An overview of current applications and libraries will be given (lecture 6-8). The lecture part then concludes with the late-breaking research topics of trust in visual interpretation (lecture 9) and how AI methods are used in visualisation (lecture 10).
Lecture Part
| # | Date | Time | Type | Title |
|---|---|---|---|---|
| L1 | 06.10.2021 | 11:00 - 12:00 | Online Meeting (Zoom) | Introductory lecture ("Vorbesprechung") & Introduction to Data Visualisation General information on the lecture & What is visualisation and visual analytics? |
| 13.10.2021 | no lecture | |||
| L2 | 20.10.2021 | available from 11:00 on | Pre-recorded video | Introduction to Visual Data Science I Terms and concepts, data types, interdisciplinary approaches |
| L3 | 27.10.2021 | available from 11:00 on | Pre-recorded video | Introduction to Visual Data Science II Terms and concepts, data types, interdisciplinary approaches |
| L4 | 03.11.2021 | 11:00 - 12:00 | Online Meeting (Zoom) | Usage of Charts and Plots in Data Science How to select the right chart based on the data? |
| L5 | 10.11.2021 | available from 11:00 on | Pre-recorded video | Applications & Libraries I Charting libraries |
| L6 | 17.11.2021 | 11:00 - 12:00 | Online Meeting (Zoom) | Applications & Libraries II Applications |
| L7 | 24.11.2021 | 11:00 - 12:00 | Online Meeting (Zoom) | BI Tools Getting to know Tableau, MS Power BI, and OmniSci |
| L8 | 01.12.2021 | 11:00 - 12:00 | Online Meeting (Zoom) | Trust in Visualisation How to correctly interpret what we see? |
| 08.12.2021 | no lecture | |||
| L9 | 15.12.2021 | 11:00 - 12:00 | Online Meeting (Zoom) | AI in Visualisation Visualisation for understanding AI & Using AI for better visualisations |
Lab Part
Lab organisation and submissions are done via TUWEL.
The lab part of the VU outlines the different stages of a data science workflow. Every data science workflow consists of five stages: Discover, Wrangle, Profile, Model & Report. We will work on all stages and see how visualization can be used in every stage (except Discover). The lab part has the following deadlines:
| # | Date & Time | Description |
|---|---|---|
| D1 | 10.11.2021 23:59 | Selection of topic & stage Discover finished - submission of short report (1 A4 page). |
| D2 | 17.12.2021 23:59 | Stages Wrangle and Profile finished - submission of report (at least 3 A4 pages). |
| D3 | 18.01.2022 23:59 | Stages Model and Report finished - submission of report (at least 3 A4 pages). |
| D4 | 19.01.2022 & 26.01.2021 | Final presentations (with dashboard from Report stage). |
Grading
The following points can be achieved in the lecture:
| Interactive lecture part (TUWEL) | 30 points |
| Discover | 5 points |
| Wrangle | 5 points |
| Wrangle (Bonus) | 5 points |
| Profile | 15 points |
| Model | 10 points |
| Report | 10 points |
| Report (Bonus) | 10 points |
| Final presentation | 10 points |
The points define the final grade:
| Sehr Gut (1) | > 85 points |
| Gut (2) | > 75 points |
| Befriedigend (3) | > 62 points |
| Genügend (4) | > 50 points |
| Nicht Genügend (5) | <= 50 points |