Visualization Summer Course

1
Visualization Summer Course

• Raphaël Grasset
• HIT Lab NZ
• University of Canterbury

26-30th January 2009
2
Speakers

• Dr Raphaël Grasset (HITL)
• PhD Computer Science
• raphael.grasset_at_hitlabnz.org
• Dr Andreas Dünser (HITL)
• PhD Psychology
• Dr Julian Looser (HITL)
• Phd Computer Science
• Guest Speakers Roy Davies, Tim David, Alan
  McKinnon

3
Course Structure

• From Monday to Thursday
• 9h15-12h Lectures (morning) (E10, Engineering
  Building)
• 13h-15h Lab (Lab afternoon) (Lab 4, Erskine
  Building)
• Friday
• 9h-12h Guest Seminars
• Afternoon feedback and discussion
• Material
• http//www.hitlabnz.org/wiki/SummerVizuCourse08
• (Lectures Notes PPT, readings, exercises,
  links, references)

4
Prerequisites/Audience

• Target Audience
• Any scientists, engineers, students
• using visualization tools/software
• OR who need to visualize data
• Skills Required
• Basic Maths (linear algebra, calculus)
• Basic Computer Skills (everyday use computer,
  text editor, understanding of data structure)

5
What You Will Learn

• Built your knowledge of Visualization
• terminology, concept, principles, techniques.
• Better understanding of Visualization
  Software/Tools
• ParaView, Tableau, etc
• Provide data analysis skills by choosing and fine
  tuning the appropriate visualization feature
• Develop communication skills about visualization

6
References

• conferences tutorial (IEEE VIZ, SIGGRAPH)
• online courses (stanford, ETHZ, British
  Columbia)

(all the references on the webpage)
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Course Syllabus

• Day 1
• Preamble (10 mins)
• Introduction to Visualization (35 mins)
• Data Mapping (30 mins)
• Break (15 mins)
• Perception (1h15)
• Lunch (1h)
• Lab- Visualization software (demos, exercises 2h)

8
Course Syllabus

• Day 2
• Visualization Techniques
• Basic Scalar Field (Color Mapping, Contour,
  Isosurfaces)(1h15)
• Break (15mins)
• Visualization Techniques
• Basic Vector Field (Glyphs, Streamlines and
  Texture Advection) (1h15)
• Lunch (1h)
• Lab - Exploring ScalarVector Viz. Techniques
  (2h)
• Project work (2h)

9
Course Syllabus

• Day 3
• Visualization Techniques
• Volume Rendering Basic (1h15)
• Break (15mins)
• Visualization Techniques
• Volume Rendering Advanced (1h15)
• Lunch (1h)
• Lab - Exploring Volume Rendering (2h)
• Project work (2h)

10
Course Syllabus

• Day 4
• Display, Interaction and Navigation (1h15)
• Break (15mins)
• Large Scale Data Visualization (1h15)
• Lunch (1h)
• HIT NZ Lab visit and demos (2h)
• Project work (2h)

11
Course Syllabus

• Day 5
• Seminar Presentations
• Roy Davies (NextSpace)
• Alan McKinnon (Lincoln University)
• Tim David (University of Canterbury)
• Pizza Lunch
• Wrap-Up

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Course Direction

• Scientific Visualization
• 3D
• Visualization techniques
• No Algorithmic details
• No Implementation details (aka Geek stuff )