COMP7507A - Visualization and visual analytics

Semester 2, 2017-18

Instructor	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.
Compatibility
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 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: 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 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