t.BA.DS.VDSS.20HS (Visualisation and Data Science Storytelling) 
Module: Visualisation and Data Science Storytelling
This information was generated on: 26 September 2021
No.
t.BA.DS.VDSS.20HS
Title
Visualisation and Data Science Storytelling
Organised by
T IDP
Credits
4

Description

Version: 2.0 start 01 August 2020
 

Short description

 Students acquire basic knowledge of data visualisation and data science storytelling. The course includes visual elements, functions and effects, plus analysis and interpretation of data visualisations. In practical exercises, students learn how to communicate effectively with data visualisations.

Module coordinator

 Ruckstuhl, Andreas, rkst

Learning objectives (competencies)
Objectives Competences Taxonomy levels
You are familiar with the visual repertoire of data visualizations and visualization types. F K1, K2
You are able to describe the target group. M, SO K3
You are able to select the right visualization type for your message F K3
You can analyze data visualizations and evaluate their strengths and weaknesses. F, M K4
You can estimate possible impacts. F, M K4
You can design data visualizations and critically reflect on the result. F, M, SE K5, K6
You can link data visualization with storytelling, that is, plan and design data science stories and effectively put them into the specific communication context. F, M, So, SE K5, K6

Module contents

 Visual elements and visualization types; development of personas; application and impact of data visualizations and data science storytelling; storyboarding und design of data visualizations; analysis, interpretation and evaluation of data visualizations and data science stories.

Teaching materials

 Slides, compulsory reading

Supplementary literature

 Feigenbaum, A. & Alamalhodaei, A. (2020). The Data Storytelling Workbook. Abingdon: Routledge.
Kirk, A. (2016). Data Visualisation. A Handbook for Data Driven Design. London: Sage.
Cairo, A. (2016). The truthful art: Data, charts, and maps for communication. Berkeley: New Riders.
Munzner, T. (2015). Visualization analysis and design. Boca Raton: Taylor & Francis.
Nussbaumer Knaflic, C. (2015). Storytelling with data. Hoboken: Wiley.

Prerequisites

 none

Teaching language

 (X) German ( ) English

Part of International Profile

 ( ) Yes (X) No

Module structure

 Type 3a
  For more details please click on this link: T_CL_Modulauspraegungen_SM2025

Exams
Description Type Form Scope Grade Weighting
Graded assignments during teaching semester Short analysis of a data visualization written 3000 characters with spaces grading 20%
End-of-semester exam Data science story project (teamwork possible) written max. 10 pages grading 80%

Remarks

  

Legal basis

 The module description is part of the legal basis in addition to the general academic regulations. It is binding. During the first week of the semester a written and communicated supplement can specify the module description in more detail.
Course: Visualisation and Data Science Storytelling - Praktikum
No.
t.BA.DS.VDSS.20HS.P
Title
Visualisation and Data Science Storytelling - Praktikum

Note

  • No module description is available in the system for the cut-off date of 02 August 2099.
Course: Visualisation and Data Science Storytelling - Vorlesung
No.
t.BA.DS.VDSS.20HS.V
Title
Visualisation and Data Science Storytelling - Vorlesung

Note

  • No module description is available in the system for the cut-off date of 02 August 2099.