| Week 1 (August 20): Introduction, What do we draw for visualization? |
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| Week 2 (August 27): How do we draw? Pt. 1 |
Monday: Web Programming, Javascript, SVG (slides)
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Recommended Reading: Murray Ch. 3
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Wednesday: D3: selection and transformation (slides)
— Assignment 0 Due, Assignment 1 Posted
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Recommended Reading: Murray Ch. 6,12 (selection parts)
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Friday: D3: the data join (slides)
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Recommended Reading: Murray Ch. 6,12 (everything)
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| Week 3 (September 3): How do we draw? Pt. 2 |
Monday: D3: scales (slides)
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Recommended Reading: Murray Ch. 7,8
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Wednesday: D3: events and transitions (slides)
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Recommended Reading: Murray Ch. 9,10
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Friday: D3 wrap up (slides)
— Assignment 1 Due, Assignment 2 Posted
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Recommended Reading: Murray Ch. 9,10
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| Week 4 (September 10): What should we draw? |
Monday: Perception, Channel Effectiveness Pt. 1 (slides, pdf)
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Required Reading: Munzner Ch. 6.5, Graphical Perception
Recommended Reading: Ware Ch. 1,2, Preattentive Processing
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Wednesday: Channel Effectiveness Pt. 2, (slides, pdf)
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Required Reading: Munzner Ch. 5.4,5.5, Graphical Perception
Recommended Reading: Crowdsourcing Perception, Correlation Perception, Data + Task Perception, Mark + Size + Color Perception
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Friday: Color Pt. 1 (slides, pdf)
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Required Reading: Munzner Ch. 10.1-10.3
Recommended Reading: Ware Ch. 4
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| Week 5 (September 17): Why do we draw? |
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| Week 6 (September 24): Spatial Arrangements |
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| Week 7 (October 1): Interaction |
Monday: Manipulating Views (slides, pdf)
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Required Reading: Munzner Ch. 11.1-11.3, 11.5, 14.1-14.5
Recommended Reading: Eyes Have It, Zooming and Panning
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Wednesday: Brushing (slides, pdf)
— Assignment 3 Due, Assignment 4 Posted
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Required Reading: Munzner Ch. 11.4
Recommended Reading: Brushing Scatterplots, PC Brushing, Scented Widgets
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Friday: Coordinated Views (slides, pdf, trellis plot example)
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Required Reading: Munzner Ch. 12.3
Recommended Reading: Crossfilter, Linked Juxtaposed Views, Linked Brushing with Agency
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| Week 8 (October 8): Hierarchical Data |
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| Week 9 (October 15): Graph Data |
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| Week 10 (October 22): Project, Midterm, Guest Lecture |
Monday: Midterm Review, Project Discussion (slides, pdf)
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Wednesday: midterm
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Friday: Guest Lecture
— Assignment 5 Due
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| Week 11 (October 29): Geospatial Data, Guest Lecture |
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| Week 12 (November 5): Guest Lecture, Geospatial Data, Dimensionality Reduction |
Monday: Guest Lecture
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Wednesday: Projections, Simplification, Density (slides, pdf), density example
— Project Proposal Due
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Friday: DR: Fundamentals, PCA (slides, pdf)
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| Week 13 (November 12): Dimensionality Reduction, Text Data |
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| Week 14 (November 19): Thanksgiving Break |
Wednesday:
— Project Prototype Due
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| Week 15 (November 26): Scalar and Vector Data |
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| Week 16 (December 3): Wrap Up, Final Project Presentations |
Monday: Review (slides, pdf)
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Wednesday: Project Presentations
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