Period: Autumn/Winter 2020, 31/08/20 to 17/01/21
Syllabus: https://kursplan.lnu.se/kursplaner/syllabus-4DV807-1.pdf
Registration deadline: 23/08/20

The course is a project course focused on applying Visual Analytics (VA) in a given analytical problem and setting. Visual analytics systems bring data analysis closer to end­-users by effectively combining interactive visualization and complex algorithms, guided by the underlying analytical processes inherent to the data and the application at hand. The students will be introduced to visual analytics theoretical aspects and tools, create the conceptual design of the VA project, implement their designs, and present their results.

In more details, this VA project course covers the following aspects:
-  The importance of data and visualization for answering analytical questions.
-  Selected examples of state-­of­-the-­art VA systems.
-  Information visualization and visual analytics in realistic projects.
-  Data analysis and processing in realistic projects.
-  Tools, services, and software libraries that can be used for data analysis and to develop information visualizations, e.g., D3, yFiles, and Bokeh.
-  Challenges and opportunities at the interfaces between the human analyst, computational models, and visual display.
-  How visualizations are evaluated in realistic projects.
-  Types of bias in data, analysis, and visualization.

Please note that this course runs through two study periods (August to January), and the student is expected to regularly report progress on the project. As knowledge on agile software development is a prerequisite, the students are expected to independently manage their own agile project.

If you have any questions please contact the course coordinator, Rafael M. Martins (rafael.martins@lnu.se)