Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


To learn various means of data collection through social media, web application, and open public data.

To learn and build understanding of data and prepare data for visualisations

To learn data wrangling methodologies.

To learn to programme using web technologies to generate interactive/static information visualisation

To learn various stages of preparing and visualising data.

Credits: 6

Schedule: 13.01.2022 - 18.02.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Rupesh Vyas

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    This course is designed for Visual Communication Students and students from Non-technical and Programming background. Hence, the course will deal with fundamentals and advance aspects of computation for Information design and Data Visualisation.

    The students learn the process of Data collection, Pre-Processing, transforming, filtering and analysis of data by applying statistical approaches.  Students will learn tools for data collection and scraping from the internet. Ethical practice in data collection process.

    In this course, students will learn hands-on programming for various stages of interactive information design and Data Visualisation. Students will learn and practice data visualization Javascript-based Data-Driven Document Libraries (D3.js) and other visualisation related web technologies. Students will learn to collect, structure, filter, analyze, represent of using open-source data, web scraping libraries, and scripts to collect data.

    This course is trans-disciplinary and hence invites students from all disciplines who have a strong interest and wants to develop a specialisation in Information Design and data visualisation.


Substitutes for Courses


Further Information
  • valid for whole curriculum period:

    Teaching Period:

    2020-2021 Spring III

    2021-2022 Spring III

    Course Homepage:

    Registration for Courses: Sisu replaces Oodi on 9 August, 2021. Priority order to courses is according to the order of priority decided by the Academic committee for School of Arts, Design and Architecture: