University of Regina
Department of Computer Science

CS 837: Information Visualization

Fall 2017

Instructor: Dr. Orland Hoeber Web: http://www.cs.uregina.ca/~hoeber/
Lectures: T/TH 10:00 - 11:15 AM Email: orland.hoeber@cs.uregina.ca
Room: CL 251 Phone: 306-585-4598
Office Hours: W 2:00 - 5:30 PM
(other times by appointment only)
Office: CW 308.25

Course Objectives

Information Visualization focuses on the design, development, and study of interactive visualization techniques for the analysis, comprehension, exploration, and explanation of large collections of abstract information. Topics to be covered include principles of visual perception, information data types, visual encodings of data, representations of relationships, interaction methods, and evaluation techniques.

Primary Textbook

Ward, M, Grinstein, G., and Keim, D. Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition, A K Peters/CRC Press. 2015. (ISBN-13: 978-1482257373)

Supplemental Textbooks (Optional)

Munzner, T. Visualization Analysis and Design, A K Peters/CRC Press. 2014. (ISBN-13: 978-1466508910)

Ware, C. Information Visualization: Perception for Design, 3rd Edition, Morgan Kaufmann, 2013. (ISBN-13: 978-0123814647)

Few, S. Information Dashboard Design, 2nd Edition, Analytics Press, 2013 (ISBN-13: 978-1938377006)

Evaluation

Students may choose at the beginning of the course to either complete four assignments (worth 20% each), or undertake a project with five milestones (worth 10% for each of the first four milestones, and 40% for the last milestone). The deadlines for the assignments and project milestones will be the same; students choosing the assignment route will have the option to re-submit any one assignment on the same day of the final project milestone.

The final grade in the course will be determined as follows:

Assignments or Project 80%
Exam 20%
Total: 100%

In order to pass the course, you must pass the exam. Your final mark may be adjusted by +/- 5%, at the instructor's discretion.

Format

Lectures will be held twice per week: T/TH 10:00 – 11:15 AM in CL 251. All lecture notes and assignments will be posted on UR Courses. The lecture notes should not be used as an alternative to attending the lectures. It is expected that students will attend the lectures, listen to the explanations and discussions, and take notes about the important information.

Syllabus

The course syllabus contains additional details about the course.

Important Dates

September 28, 2017

October 12, 2017

October 19, 2017

November 2, 2017

November 23, 2017

December 5, 2017

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