Syllabus

Last Modified on Fri., Sept. 22, 2000

Instructor:

Chris Hundhausen
POST 303D
hundhaus@hawaii.edu
956-3887
Office Hours: M 3:00-4:00 p.m. Th 2:00-3:00 p.m., and by appointment

Meeting Time/Location:

M 9:30 a.m. - 12:10 p.m., POST 327

Prerequisites:

Any of the following: ICS 464, ICS 465, ICS 664, ICS 665, consent of instructor

Readings:

Surveys of Scientific Visualization

  • Brodlie, K.W. (1992). Scientific Visualization: Techniques and Applications. New York: Springer-Verlag. (On reserve in library.)
  • Gallagher, R. (ed.) (1995). Computer Visualization: Graphics Techniques for Scientific and Engineering Analysis. Ann Arbor: CRC Press. (On reserve in library.)
  • Pickover, C.A. & Tewksbury, S.K. (1994). Frontiers of Scientific Visualization. New York: John Wiley & Sons. (On reserve in library.)
  • Rosenblum, L. et al. (1994). Scientific Visualization: Advances and Challenges. San Diego: Academic Press. (On reserve in library.)

"Cognitive" Perspective

  • Cassner, S.M. (1991). A task-analytic approach to the automated design of graphic presentations. ACM Transactions on Graphics 10(2), 111-151.
  • Casner, S. M., & Larkin, J. H. (1989). Cognitive efficiency considerations for good graphic design. In Cognitive Science Society Proceedings (pp. 275-282). Hillsdale, NJ: Erlbaum.
  • Chuah, M. C., John, B. E., & Pane, J. (1994). Analyzing graphic and textual layouts with GOMS: Results of preliminary analysis. , CHI '94 Conference Companion (pp. 323-324). New York: ACM Press.
  • Larkin, J. H., & Simon, H. A. (1987). Why a diagram is (sometimes) worth ten thousand words. Cognitive Science 11, 65-99.
  • Mayer, R. E., & Anderson, R. B. (1991). Animations need narrations: An experimental test of a dual-coding hypothesis. Journal of Educational Psychology, 83(4), 484-490.

"Social" Perspecive

  • Roschelle, J. (1990). Designing for conversations. Paper presented at the AAAI Symposium on Knowledge-Based Environments for Learning and Teaching, Stanford, CA.
  • Suchman, L. (1987). Plans and Situated Actions: The Problem of Human/Machine Communication. New York: Cambridge University Press. (Purchase at bookstore.)

"Cultural" Perspective

  • Hundhausen, C.D. (1999). Using Representations to Assess Level of Membership in a Community of Practice. Working paper accepted for presentation at the CSCL '99 Workshop "Collaborative Use of Representations: Analyzing Learning Interactions."
  • Latour, B. (1986). Visualization and cognition: Thinking with hands and eyes. In H. Kuklick & E. Long (Eds.), Knowledge and Society: Studies in the Sociology of Culture Past and Present (Vol. 6, pp. 1-40). Greenwich, CT: JAI Press.
  • Petre, M., & Green, T.R.G. (1993). Learning to read graphics: Some evidence that 'seeing' an information display is an acquired skill. Journal of Visual Languages and Computing 4, 55-70.
  • Springmeyer, R., Blattner, M., & Max, N. (1992). A characterization of the scientific data analysis process. In Proceedings Visualization '92 (pp. 235-242). Los Alamitos, CA: IEEE Computer Society Press.
  • Springmeyer, R. (1993). Applying observations of work activity in designing prototype data analysis tools. In Proceedings Visualization '93 (pp. 228-235). Los Alamitos, CA: IEEE Computer Society Press.

 

Description

Computer-based graphical representations, or visualizations, of scientific processes and phenomena have become commonplace in scientific communities. For example, geologists like to visualize plate tectonics; meteorologists like to visualize weather systems; and computer scientists like to visualize algorithms. After briefly surveying the use of visualization in scientific communities, this course pursues an in-depth investigation of its theoretical underpinnings from three diverse perspectives:

The overall goal is to gain (a) an appreciation of the issues surrounding the use of visualizations in scientific communities, (b) an understanding of how and why such visualizations may or may not be effective in assisting their users, and (c) an ability to apply various research techniques for studying, designing, and evaluating visualizations in practice.

Course Format

As a seminar, the main activities of this course are the lively discussion, analysis, and synthesis, of a strategically-selected sample of literature on scientific visualization, along with foundational literature on cognitive, social, and cultural theories of representations. Thus, its success rests heavily on the active participation of its members. So as to encourage such participation, I will select a pair of students to serve as facilitators for each session. (Occasionally, I may select myself as the facilitator of a session.) The responsibilities of the session facilitator include

Non-facilitators in a given section will be expected to critically read the material prior to the session, and to arrive at the session with their own list of questions and comments.

What is Critical Reading?

One of the important skills you'll be developing in this course is critical reading: the ability not only to identify the key points of the material, but also to analyze and critique its underlying perspective, and ultimately to integrate that perspective into your own. To help you to practice critical reading, consider the following list of questions as you're reading the material:

Schedule

Grading

Your grade for the course will be based on your performance on the following items (weights are in parentheses):

Policies

Please familiarize yourself with the following course policies. By following them, you will get the most out of this course, and you will not encounter any unwelcome surprises down the road:

C.D.H.
Honolulu, Hawai'i