Data Visualization (Manoa/Hilo) Spring 2016

1. Instructors

1.1. Jason Leigh - Computer Science - Manoa

1.1.1. http://www2.hawaii.edu/~leighj/JASON_LEIGH/Jason_Leigh_Home_Page.html

1.1.2. Office Hours:

1.1.2.1. Mondays & Wednesdays 2-3p in Keller 102

1.2. Jie Cheng - Computer Science - Hilo

1.2.1. http://cs.uhh.hawaii.edu/jiecheng.html

1.3. Jonathon Goebel - Art - Hilo

1.3.1. http://www.jongoebel.com/bio

1.4. Misaki Takabayashi - Marine Science - Hilo

1.4.1. http://maunaloa.uhh.hawaii.edu/~misaki/About_Misaki_Takabayashi.html

1.5. Kaʻiu Kimura - Hilo

1.5.1. https://www.linkedin.com/pub/kaʻiu-kimura/14/507/172

1.6. Julieta Aguilera - Visiting Professor

1.6.1. https://www.linkedin.com/in/julietina

1.6.2. Office hours

1.6.2.1. Wednesdays 3-5:45pm at Imiloa

2. Time

2.1. Mondays 3-5:30p

3. Schedule

3.1. https://manoa.hawaii.edu/ovcaa/calendar.htm

3.2. http://hilo.hawaii.edu/registrar/Spring2016SemesterAcademicCalendar.php

3.3. Jan 11 - First day of class

3.3.1. Overview of Data Visualization - everything from Info Viz to Sci Viz etc...

3.3.2. Intro to class

3.3.3. Using the CyberCANOE

3.3.4. Survey on abilities

3.3.5. Intro to tools- Unity3D

3.4. Jan 18 - MLK day

3.4.1. ASSIGNMENT 1 - PART 1 DUE - Submit to Laulima

3.5. Jan 25 - LECTURE

3.5.1. Intro to Data Visualization - from the Computer Science Perspective

3.6. Feb 1 - LECTURE

3.6.1. Intro to Data Visualization - from the Art Perspective

3.6.1.1. Jonathon, Jason, Julieta

3.6.2. Composition (elements & principles of design).

3.6.3. Creative Brainstorming

3.6.4. ASSIGNMENT 1 - PART 2 DUE- audition in class

3.7. Feb 8 - LECTURE

3.7.1. Intro to Coral Reef Biology & Data

3.7.1.1. Misaki

3.8. Feb 15 - Presidents day

3.9. Feb 22 - LECTURE

3.9.1. Bridging between Art and Science

3.9.1.1. Julieta

3.10. Feb 29 - LECTURE

3.10.1. Working with Data

3.10.1.1. Jie

3.10.2. DUE: BRAINSTORM IMAGES from the teams

3.10.3. Jason on travel

3.11. Mar 7 - LECTURE

3.11.1. Information Visualization

3.12. Mar 14 - LECTURE

3.12.1. Geospatial Visualization

3.13. March 21-25 - Spring break

3.14. March 28 - LECTURE

3.14.1. Dynamic Visualization

3.15. Apr 4 - LECTURE

3.15.1. Social Network Visualization

3.15.2. MID SEMESTER DEMOS

3.16. Apr 11 - LECTURE

3.16.1. Scientific & Medical Visualization

3.17. Apr 18 - LECTURE

3.17.1. Visual Analytics

3.17.2. Jason at NAB

3.18. Apr 25 - LECTURE

3.18.1. Uncertainty Visualization

3.19. May 2 - Rehearsal of demos at Imiloa & Final Project Presentations

3.20. May 3 - Public event at Imiloa

4. Location

4.1. Manoa CyberCANOE in Keller 102

4.2. Imiloa Astronomy Center

5. Course Objectives

5.1. How to design effective visualizations of data.

5.2. How to use software to create interactive data visualizations.

5.3. To evaluate the effectiveness of data visualizations.

5.4. About the ways visualizations can be applied across a wide range of disciplines.

6. Student Outcomes

6.1. Students develop software programs for producing data visualizations.

6.2. Students learn about the nuances in the different types of data visualizations- including information visualization, geospatial visualization, scientific visualization, social network visualization, medical visualization,

6.3. Students can evaluate data visualization approaches critically.

6.4. Students can present and explain their data visualizations.

6.5. Students can learn to work in teams to co-develop data visualizations.

7. Class Survey