COMP7507B - Visualization and visual analytics

Summer Semester, 2022-23

Professor	Loretta Y.K. Choi
Teaching assistants	Yuhan Ping Yuran Sun
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 Professor	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	Nil
Compatibility	Nil
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
Assessment	Description Type Weighting * Examination Period ^ Course Learning Outcomes Written and practical assignment using visualization tools Continuous Assessment 15% - CLO1, CLO2, CLO3 Group project Continuous Assessment 35% - CLO1, CLO2, CLO3 Written Examination Written Examination 50% 7 - 19 Aug 2023 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 are obliged to follow 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: A sample assignment
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 http://nvac.pnl.gov/agenda.stm
Session dates	Date Time Venue Remark Session 1 13 Jun 2023 (Tue) 7:00pm - 10:00pm CPD-2.16 Face-to-face Session 2 16 Jun 2023 (Fri) 7:00pm - 10:00pm CPD-2.16 Face-to-face Session 3 20 Jun 2023 (Tue) 7:00pm - 10:00pm CPD-2.16 Face-to-face Session 4 23 Jun 2023 (Fri) 7:00pm - 10:00pm CPD-2.16 Face-to-face Session 5 27 Jun 2023 (Tue) 7:00pm - 10:00pm CPD-2.16 Face-to-face Session 6 30 Jun 2023 (Fri) 7:00pm - 10:00pm CPD-2.16 Face-to-face Session 7 4 Jul 2023 (Tue) 7:00pm - 10:00pm CPD-2.16 Face-to-face Session 8 8 Jul 2023 (Sat) 2:00pm - 5:00pm CPD-2.16 Face-to-face Session 9 18 Jul 2023 (Tue) 7:00pm - 10:00pm CPD-2.16 Face-to-face Session 10 22 Jul 2023 (Sat) 2:00pm - 5:00pm CPD-2.16 Face-to-face CPD - Central Podium Levels (Centennial Campus)
Add/drop	12 June, 2023 - 17 June, 2023
Maximum class size	100
Moodle course website	HKU Moodle: https://moodle.hku.hk/course/view.php?id=102617 (Login using your HKU Portal UID and PIN) - Please note that the professor maintains and controls when to release the Moodle teaching website to students. - Enrolled students should visit the Moodle teaching website regularly for latest announcements, course materials, assignment submission, discussion forum, etc.