Schedule

Notice that the schedule is under construction and subject to change before the first day of class.

 

 

Course Introduction – Visual Data Analysis

Jan. 8: Course introduction, Project Description, Expectations, Group Presentation Description

Jan. 10: Overview of InfoVis & Visual Analytics

  • “Information Visualization for Scientific Discovery”, Miriah Meyer, 2011 video
  • “Why Visual Analytics”, NVAC, 2007 video
  • “Visual Analytics: Mastering the Digital Age”, VisMaster, 2010. video

Jan. 15: (no lecture; MLK)

Jan. 17: Overview of InfoVis & Visual Analytics

  • “Precision Information Environments” video
  • “Semantic Interaction for Sensemaking”, Alex Endert, TEDxVirginiaTech, 2012 video

Jan. 22: (rest of Overview / snow day makeup)

 

Visual Analytics: Data Analytics + User Interaction + Vis

Jan. 24: (rest of Overview / snow day makeup)

Jan. 29: d3 Overview and Previous Group Project Examples

Jan. 31: no lecture

Feb. 5: Sensemaking

  • Discussion leaders: Group -1 (Endert)
  • Pirolli, Peter, and Stuart Card. “The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis.” Proceedings of International Conference on Intelligence Analysis. Vol. 5. McLean, VA: Mitre, 2005. PDF

Feb. 7: Coupling Computation with Cognition & Promoting “Flow”

  • Discussion leaders: Group -1 (Endert)
  • Elmqvist, N., Moere, A. V., Jetter, H. C., Cernea, D., Reiterer, H., & Jankun-Kelly, T. J. (2011). Fluid interaction for information visualization. Information Visualization, 10(4), 327-340. PDF
  • Discussion leaders: Group -1 (Endert)
  • Endert, A., Chang, R., North, C. and Zhou, M., 2015. Semantic interaction: Coupling cognition and computation through usable interactive analytics. IEEE Computer Graphics and Applications, 35(4), pp.94-99.   PDF

Feb. 12 : Analysis Aids and Techniques

  • Discussion leaders: Group 1
  • Heuer, Psychology of Intelligence Analysis Chapter 1 & 8 PDF

Feb. 14: Knowledge Generation with Interactive Visual Analytics

  • Discussion leaders: Group 2
  • Sacha, Dominik, et al. “Knowledge generation model for visual analytics.” IEEE transactions on visualization and computer graphics 20.12 (2014): 1604-1613.   PDF

Capturing and Visualizing the Analysis Process; Analytic Provenance

Feb. 19: Capturing Interaction

  • Discussion leaders: Group 3
  • Cowley, Paula, Lucy Nowell, and Jean Scholtz. “Glass box: An instrumented infrastructure for supporting human interaction with information.” System Sciences, 2005. HICSS’05. Proceedings of the 38th Annual Hawaii International Conference on. IEEE, 2005. PDF
  • DUE: HW1 (submit to t-square before the start of class)

Feb. 21: How well do people remember their analysis process?

  • Discussion leaders: Group 4
  • Lipford, Heather Richter, et al. “Helping users recall their reasoning process.” Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on. IEEE, 2010. PDF

Feb. 26: Tracking the analysis process

  • Discussion leaders: Group 5
  • Lee, Eric, et al. “The CZSaw Notes Case Study. PDF

Feb. 28: Tracking and visualizing the process

  • Discussion leaders: Group 6
  • Silva, Cláudio T., et al. “Using vistrails and provenance for teaching scientific visualization.” Computer Graphics Forum. Vol. 30. No. 1. Blackwell Publishing Ltd, 2011. PDF

Mar. 5 – Can we predict how well people will perform on their task? 

  • Discussion leaders: Group 7
  • Brown, Eli T., et al. “Finding Waldo: Learning about Users from their Interactions.” (2014). PDF

Mar. 7 – Predictive Interaction

  • Discussion leaders: Group 8
  • Heer J, Hellerstein JM, Kandel S. Predictive Interaction for Data Transformation. In CIDR 2015. PDF
  • DUE: HW2 (submit to t-square before the start of class)

Project Proposal Presentations (student project group presentations)

DUE: (this week) Project Milestone 1 for all teams

Mar. 12

  • Project presentation day 1 (link to sign up sent out through t-square announcement)

Mar. 14

  • Project presentation day 2 (link to sign up sent out through t-square announcement)

Mar. 19 – no class (spring break)

Mar. 21 – no class (spring break)

 

Interactive Model Steering

Mar. 26

  • Discussion leaders:Group 9
  • Final dataset released (on t-square resources)
  • Brown, Eli T., et al. “Dis-function: Learning distance functions interactively.” Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on. IEEE, 2012. PDF

Mar. 28

  • Discussion leaders:Group 10
  • Kim, H., Choo, J., Park, H. and Endert, A., 2016. InterAxis: Steering scatterplot axes via observation-level interaction. IEEE transactions on visualization and computer graphics, 22(1), pp.131-140. PDF

Apr. 2

  • Discussion leaders:Group 11
  • Gratzl, S., Lex, A., Gehlenborg, N., Pfister, H. and Streit, M., 2013. Lineup: Visual analysis of multi-attribute rankings. IEEE transactions on visualization and computer graphics, 19(12), pp.2277-2286. PDF

Apr. 4

  • Discussion leaders:Group 12
  • Wall, E., Das, S., Chawla, R., Kalidindi, B., Brown, E.T. and Endert, A., 2018. Podium: Ranking data using mixed-initiative visual analytics. IEEE transactions on visualization and computer graphics, 24(1), pp.288-297. PDF
  • DUE: HW3 (submit to t-square before the start of class)

 

Studying analysts and the analytic process; Cognitive Models and Bias

Apr. 9

  • Discussion leaders:Group 13
  • Kandel, Sean, et al. “Enterprise data analysis and visualization: An interview study.” Visualization and Computer Graphics, IEEE Transactions on 18.12 (2012): 2917-2926. PDF

Apr. 11

  • Discussion leaders:Group 14
  • Pohl, Margit, Michael Smuc, and Eva Mayr. “The User Puzzle: Explaining the Interaction with Visual Analytics Systems.” Visualization and Computer Graphics, IEEE Transactions on 18.12 (2012): 2908-2916. PDF

Apr. 16

  • Discussion leaders:Group 15
  • Wall, E., Blaha, L.M., Paul, C.L., Cook, K. and Endert, A., 2017. Four perspectives on human bias in visual analytics. In DECISIVe: Workshop on Dealing with Cognitive Biases in Visualizations. PDF

Project Presentations

Due: Project Milestone 2 (for all teams)

Apr. 18 — Project Milestone 2 presentations

Apr. 23 — Project Milestone 2 presentations

  • Project Milestone 3 due for all teams (due April 27, so I moved it to make formatting less confusing)

Final Exam, April 27, 2:50 – 5:40pm

  • Project Milestone 3 due for all teams (due on April 27)