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

3
Course Structure

• From Monday to Thursday
• 9h15-12h Lectures (morning) (E10, Engineering
  Building)
• 13h-15h Lab (afternoon) (Lab 1, Erskine
  Building)
• Friday
• 9h-12h Guest Seminars
• Afternoon feedback and discussion
• Material
• Wiki page
• http//www.hitlabnz.org/wiki/SummerVizuCourse08
• (Lectures Notes PPT, readings, exercises,
  links, references)

4
Prerequisites/Audience

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

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What You Will Learn

• Increase your knowledge of Visualization
• Terminology, concept, principles, techniques.
• Better understanding of Visualization
  Software/Tools
• ParaView, VMD, etc
• Provide data analysis skills by choosing and fine
  tuning the appropriate visualization feature
• Develop communication skills about visualization
• Large Focus on 3D Scientific Visualization

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What you will not Learn

• No Algorithmic details
• No Implementation details (aka Geek stuff )

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What you will see

• Lot of pictures
• Lot of videos
• Software Demos

8
References

• conference tutorials (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)

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Course Syllabus

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

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Course Syllabus

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

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Course Syllabus

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

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Course Syllabus

• Day 5
• Seminar Presentations (2h30)
• Dr Roy Davies (NextSpace Ltd)
• Prof. Alan McKinnon (Lincoln University)
• More to be confirmed
• Pizza Lunch (HIT Lab NZ)
• Wrap-Up (HIT Lab NZ, 20 mins)
• Discussion, Feedback