BIP: Creative Digital Tools / Data Visualization (Course #2)

This BIP event, Creative Digital Tools – Data Visualization #2, is a continuation of the successful BIP Part #1, which focused on understanding the meaning and use of data, as well as exploring creative possibilities for working with data sets. This new edition emphasizes enhancing and expanding skills in digital tools for data visualization, with a focus on both artistic and scientific applications. Creative Digital Tools – Data Visualization #2 is organized by TUKE in cooperation with Ulysseus universities.

 

 

Please be aware that your home university may set a different application deadline depending on their internal selection process.

Registration dates 10 March 2025 07 April 2025
Course dates 05 May 2025 09 May 2025
Registration is coming soon
BIP: Creative Digital Tools / Data Visualization (Course #2)

Course Outline

During the course we will use various digital software tools which can be used both in arts and technical fields. The aim of the course is to improve the multidisciplinary thinking and approach and also skills in digital and virtual space. Since the aim of the course is to CONNECT seemingly disparate things, the topics will have an interdisciplinary basis. A special feature of this course is the implementation of its part in the form of in-field exploration and interventions in a real environment during the physical part of the mobility.

Course Content

  • Define Objectives
  • Collect and Prepare Data
  • Explore and Analyze Data
  • Select the Right Visualization Type
  • Design of the Visualization
  • Deploy and Share the Visualization
  • Evaluate and Iterate

Learning Outcomes

Following this course, students are expected to achieve several key learning outcomes. These outcomes ensure that students are equipped with the skills and knowledge needed to effectively create, interpret, and utilize data visualizations in various contexts.

Here are the learning outcomes: Understanding of Data Visualization Principles, Technical Skills in Visualization Tools, Use Visualization Software, Create Visualizations, Design and Aesthetics, Design Principles, Effective Use of Color and Layout, Storytelling with Data, Narrative Techniques, Contextual Communication, Interactive and Dynamic Visualizations, Create Interactive Dashboards, Real-time Data Visualization, Ethical Considerations and Data Integrity, Ethical Use of Data, Avoiding Misleading Visualizations, Communication and Presentation Skills, Presenting Visualizations etc.

Agenda

Day 1-3

Day 1. 05/05

Welcome Venue: UVP TECHNICOM / TUKE

9:00 – 13:00 Registrations; Welcome drink; Plenary Talks: Creative Digital Tools for Data Visualization

11:00-11:30 Coffee & Fruit Break

13:00-14:00 Lunch Break

14:00 – 16:00 Round table on specific topics; Q & A / Expert Talks; Creating groups

 

Day 2. 06/05

Venue: UVP TECHNICOM / TUKE

9:00–13:00 Expert lectures

11:00–11:30 Coffee & Fruit Break

13:00-14:00 Lunch Break

14:00–16:00 Workshop #1

 

Day 3. 07/05

9:00-13:00 Venue: Visiting / selected outdoor regional spots

13:00-14:00 Lunch Break

14:00–16:00 Workshop #2

Day 4-5

Day 4. 08/05

Venue: UVP TECHNICOM / TUKE

9:00–13:00 Expert lectures

11:00–11:30 Coffee & Fruit Break

13:00-14:00 Lunch Break

14:00–16:00 Workshop #3

 

Day 5. 09/05

Venue: UVP TECHNICOM / TUKE

9:00–13:00 Final projects presentations and
discussion

11:00–11:30 Coffee & Fruit Break

13:00-14:00 Lunch Break

Farewell drink

Virtual Component/Part

Webinars will run on selected online platform tool (to be specified later
by e-mail)

● 1st ONLINE WEEK SESSIONS – 28/04/25 to 02/05/25
Set of Webinars 01 – Creative Exploring and Analyzing Data
Set of Webinars 02 – Using the Interactive Digital Environment

Requirements

Basic Requirements:

  • Students – Bachelor level (minimum 3rd year of study) + Master level
  • Equipment: personal laptops
  • Required documents: CV and short bio, personal contact details. Please send your application and attachments to your Mobility Officer.
  • BIP part #2 is open for participants who did not attend part #1 but only
    in case their knowledge about the project’s topic is more advanced.

Professors

Team of lecturers and experts consists of those selected from different TUKE departments and CORE Labs (Faculty of Arts, Faculty of Economics and others) as well as from various Ulysseus partner universities.

More information