Seminar Data Visualization

Data visualization, also known as information visualisation, is a field concerned with the visual representation of data and interaction with it in order to amplify cognition. This seminar will explore some recent trends and selected chapters in this research domain, e.g. combination of data mining techniques with parallel coordinates visualisation, the evaluation of graph & network visualisation, the representation of uncertainty in visualisation, etc.

Please note that the exact topic of the seminar changes each year, yet stays in the broad context of data visualization.

The goal of this seminar is to review selected chapters in the domain of Data Visualization. Another objective of this seminar is to develop skills in reading, writing and reviewing academic papers. In this context, students will be asked to write and present a state of the art of a sub-domain of the Data Visualization research field. Sub topics such as the combination of data mining techniques with parallel coordinates visualisation, the evaluation of graph & network visualisation, the representation of uncertainty in visualisation etc. will be addressed in this context.

Each student will be assigned a theme within the domain, select state-of-the-art references relevant to the chosen thematic, synthesize these references and present them. There must be an oral presentation done during one of the final seminar sessions, plus in a written report of 4 pages, authored in LaTeX following ACM Strict format.
 

Learning Outcomes: 

At the end of the seminar, students will know how to do a bibliographic research, how to judge the quality of a scientific paper, and how to write a scientific article. Further, they will know what is Data Visualization and the current techniques and trends, and will deepen their knowledge on a particular subtopic.
 

Type: 
Seminar
Semester: 
S2018
ECTS: 
5
Site: 
F
Code: 
33755
Language: 
english
Period: 
on appointment
Location: 
UniFR, PER21
Evaluation type: 
continuous evaluation
Comment: 

First Lecture
Please contact Denis Lalanne (denis [dot] lalanneatunifr [dot] ch) to select the date of the first meeting.

ILIAS
The course page in ILIAS can be found at https://ilias.unibe.ch/goto.php?target=crs_1166795&client_id=ilias3_unibe.