The main content includes the visualization pipeline, collecting and processing data, mapping data into interactive visual structures including maps, graphs, trees, scatter plots, parallel coordinates, treemaps, chord diagrams, and evaluation the capacity of these visualizations to address specific analytic tasks from selected target users.
FDK3260 Information Visualization for Doctoral Students 7.5 credits
PhD course on Information Visualization that prepares PhD students to understand visualization needs of their research communities and to apply state-of-the-art information visualization techniques to improve the production of research figures and interactive data presentations of research.
Choose semester and course offering
Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Application
For course offering
Spring 2024 Start 16 Jan 2024 programme students
Application code
60843
Headings with content from the Course syllabus FDK3260 (Spring 2019–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
The students will be able to:
1.Understand the Visualization pipeline applied to their own research data.
2.Use state-of-the-art visualization packages to meet their general visual analytics needs.
Literature and preparations
Specific prerequisites
All doctoral students in EECS who handle data and have basic programming skills are eligible.
Recommended prerequisites
No information inserted
Equipment
Personal computer, smart phone
Literature
Mazza, R. (2009). Introduction to Information Visualization. London: Springer London.
Ware, C. (2013 ). Information visualization perception for design (3rd ed.,
Interactive Technologies). Amsterdam ; Boston: Elsevier/MK.
Chris N. (2012). Information Visualization, Handbook of Human Factors and Ergonomics. Digitally available at the KTH Library.
Plus selected papers focusing on the topics of the individual projects.
(Mazza, R. (2009). Introduction to Information Visualization. London: Springer London.
Ware, C. (2013 ). Information visualization perception for design (3rd ed.,
Interactive Technologies). Amsterdam ; Boston: Elsevier/MK.
Chris N. (2012). Information Visualization, Handbook of Human Factors and Ergonomics. Digitalt tillganglig via biblioteket pa KTH.
Plus andra aktuella forskningsartiklar som ar relevanta for deltagamas
forskningsdata och individuella project.)
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
P, F
Examination
- EXA1 - Examination, 7.5 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Students will be examined based on their participation during the meetings and on the quality of their projects as these are presented at various stages throughout the course.
Other requirements for final grade
A passing grade (P) is obtained through completing these criteria:
1.Active participation (80%) during the meetings, which includes reading and discussing the course literature.
2.Approved presentation (80%) and feedback of individual projects at different stages of development.
3.Approved final oral presentation of the individual project (15 minutes).
4.Approved written report of the individual project.
5.Peer-review comments to other projects in the course.
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
This course does not belong to any Main field of study.
Education cycle
Third cycle
Add-on studies
No information inserted
Contact
Mario Romero Vega (marior@kth.se)