In this course we will introduce basic concepts of data visualization, how to apply them to build interactive interfaces for data sets of different types, and which tools are useful in this process.
This course is for experienced developers working in the industry with an interest in data analysis and visualization.
- Foundations of perception and design that are important for creating new visualizations.
- Comparison between different types of visualization that work better for different types of data.
- Integration of multiple individual visualizations into interactive dashboards.
- Overview of the exploratory visual analysis process that incorporates all the above into a unified pipeline.
- Practical applications using interactive visualization libraries.
The goal for the course is that the participants should be able to:
- Critically and independently search, analyze and summarize relevant research results in visualization.
- Efficiently integrate different visualizations into interactive dashboards, with the goal of exploring complex datasets from different perspectives simultaneously.
- Design and develop visual analytics systems for the analysis of large and complex datasets, including the entire chain from raw data to insights.
For more detailed information about the course see the syllabus: https://kursplan.lnu.se/kursplaner/kursplan-4DV118-1.pdf
All materials will be available digitally, including reading materials, lecture slides, videos, practical exercises, etc. The course will be given in a flexible manner to facilitate the combination of course work with your professional commitments. We recommend that you work on a project during the course that you can use in your daily work, with your own data, and your own problems.
The course is based on online activities to make it easier for you to combine your daily work with these studies. There will be pre-recorded lectures of foundational concepts, with focus on theories, ideas, and elements of the literature on Data Visualization and Visual Analytics. These will be complemented with pre-recorded tutorials of practical elements related to the course, such as the use of programming libraries and available tools.
In order to integrate with the teacher and other participants we offer weekly online tutoring sessions open to all participants for general questions, support with practical issues, or any other student needs. There will also be two mandatory on-site workshops focusing on interaction between teacher and participants to share real-world experiences and insights.
The course is assessed through 3 mandatory assignments, mandatory seminars, and active participation in discussion forums and workshops.
The total effort to complete this course is generally around 80 hours (or 8h a week).
Language of instruction: English.
The basic eligibility for this course is a Bachelor degree. Candidates with relevant work experience are also invited to apply. Two years of relevant work experience is considered equivalent to one year of university studies at the Bachelor level.
The course will run from April 3rd to June 16th, 2023.
April 4th, 13.15 - 16.00
May 2nd, 13:15 - 16:00
June 13th, 13:15 - 16:00
A detailed schedule for the lectures and tutorial sessions will be available soon.
This course is developed within the project Smart Industry phase 2 and funded by the Swedish Knowledge Foundation (KK-stiftelsen).