COMP7507A - Visualization and visual analytics

Semester 2, 2017-18

Dr. Loretta Y.K. Choi
Teaching assistants
Mr. Nenglun Chen
Mr. Cheng Lin
Syllabus This course introduces the basic principles and techniques in visualization and visual analytics, and their applications. Topics include human visual perception; color; visualization techniques for spatial, geospatial and multivariate data, graphs and networks; text and document visualization; scientific visualization; interaction and visual analysis.
Introduction by Instructor Data and information visualization concerns about the representation of abstract data in intuitive visual forms, with visual analytics further focuses on the use of interactive visual interface to facilitate analytical reasoning that supports the visual information cognition and decision-making process. In this course, students will learn the basic knowledge in visualization and visual analytics. There will be lab sessions to provide students with hands-on experience with data visualization tools. Students will also be able to apply the techniques they learned from the course in a group project for data visualization.
Learning Outcomes
Course Learning Outcomes Relevant Programme Learning Outcomes
CLO1. Be able to understand the key concepts about visualization techniques and visual analytics. PLO.4, 6, 7, 8, 9, 10, 12, 14, 15
CLO2. Be able to identify and evaluate the key issues in the application of data visualization techniques. PLO.3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
CLO3. Be able to use appropriate visualization tools effectively for data analysis. PLO.1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 16
View Programme Learning Outcomes
Pre-requisites Students should have basic programming knowledge, e.g. C++ or Java.
Topics covered
Course Content No. of Hours Course Learning Outcomes
1. Introduction 3 CLO1
2. Human visual perception and cognition 3 CLO1, CLO2
3. Color 3 CLO1, CLO2
4. Spatial, geospatial and multivariate data visualization 5 CLO1, CLO2, CLO3
5. Graph and network visualization 5 CLO1, CLO2, CLO3
6. Text and document visualization 5 CLO1, CLO2, CLO3
7. Scientific visualization 2 CLO1, CLO2, CLO3
8. Interaction 2 CLO1, CLO2, CLO3
9. Visual analysis 2 CLO1, CLO2
Description Type Weighting * Examination Period ^ Course Learning Outcomes
Written and practical assignment using visualization tools Continuous Assessment 10% - CLO1, CLO2, CLO3
Group project Continuous Assessment 40% - CLO1, CLO2, CLO3
Written Examination Written Examination 50% May 7 to 26, 2018 CLO1, CLO2
* The weighting of coursework and examination marks is subject to approval
^ The exact examination date uses to be released when all enrolments are confirmed after add/drop period by the Examinations Office.  Students must oblige to the examination schedule. Students should NOT enrol in the course if they are not certain that they will be in Hong Kong during the examination period.  Absent from examination may result in failure in the course. There is no supplementary examination for all MSc curriculums in the Faculty of Engineering.

For reference:
Course materials Lecture Notes & Lab Instructions:
  • Available from the Moodle course web page
Recommended readings
  • Matthew Ward, Georges Grinstein, and Daniel Keim, "Interactive Data Visualization: Foundations, Techniques, and Applications", A. K. Peters, Ltd.
  • Illuminating the Path edited by J. Thomas and K. Cook, IEEE Press, 2006, available from
Session dates
Date Time Venue Remark
Session 1 27 Jan 2018 (Sat) 2:30pm - 5:30pm KK-LG109  
Session 2 3 Feb 2018 (Sat) 2:30pm - 5:30pm KK-LG109  
Session 3 10 Feb 2018 (Sat) 2:30pm - 5:30pm KK-LG109  
Session 4 24 Feb 2018 (Sat) 2:30pm - 5:30pm KK-LG109  
Session 5 10 Mar 2018 (Sat) 2:30pm - 5:30pm KK-LG109  
Session 6 17 Mar 2018 (Sat) 2:30pm - 5:30pm KK-LG109  
Session 7 24 Mar 2018 (Sat) 2:30pm - 5:30pm KK-LG109  
Session 8 7 Apr 2018 (Sat) 2:30pm - 5:30pm KK-LG109  
Session 9 27 Apr 2018 (Fri) 7:00pm - 10:00pm HW-312  
Session 10 28 Apr 2018 (Sat) 2:30pm - 5:30pm HW-312  
HW - Haking Wong Building KK - K.K. Leung Building
Add/drop 15 January, 2018 - 3 February, 2018
Quota 100