Bernd Hamann

Curriculum Vitae

June 17, 2013

Bernd Hamann - Lectures (Selection)

1. Advanced Visualization (ECS 277), Spring Quarter 2012

Individual ECS 277 Lectures Available via YouTube at:

Lecture 2: Review of Essential Scalar Field Visualization Methods

Lecture 3: Ray Casting Based on Higher-degree Polynomial Data Approximation

Lecture 4: Ray Casting Based on Piecewise Trilinear and Tricubic Approximation

Lecture 5: Review of Essential Vector (Flow) Field Visualization Methods

Lecture 6: Topological Flow Field Analysis and Visualization (Linear Vector Field Theory)

Lecture 7: Introduction to Scattered Data Approximation and Interpolation

Lecture 8: Shepard's and Hardy's Multiquadric Methods for Data Interpolation

Lecture 9: Motivation for Triangulation-based Scattered Data Approximation

Lecture 10.1: Data Approximation Using Curved Elements - Part 1

Lecture 10.2: Data Approximation Using Curved Elements - Part 2

Lecture 11: Data Approximation over Triangle and Tetrahedral (Simplicial) Meshes

Lecture 12: The Cubic Clough-Tocher Subdivision Scheme for Data Interpolation

Lecture 13: Data Structure Considerations for Voronoi Diagrams

Lecture 14: The Doo-Sabin Subdivision Scheme for Data Interpolation

Lecture 15: Sibson Interpolation Using the Voronoi Diagram

Lecture 16: Best Linear Spline Approximation (Univariate, Bivariate, Trivariate Cases)

2. Advanced Visualization (ECS 277), Spring Quarter 2001

Available via iTunes U at:

https://deimos.apple.com/WebObjects/Core.woa/BrowsePrivately/ucdavis-public

iTunes U -> UC Davis -> Science and Engineering -> Courses - Computer Science: Advanced Visualization (ECS277 - Video)

3. Introduction to Geometric Modeling (ECS 178), Winter Quarter 2008

Available via iTunes U at:

https://deimos.apple.com/WebObjects/Core.woa/BrowsePrivately/ucdavis-public

iTunes U -> UC Davis -> Science and Engineering -> Courses - Computer Science: Introduction to Geometric Modeling (ECS178 - Video)

Individual ECS 178 Lectures also Available at:

Lecture 1, January 8, 2008
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Lecture 2, January 10, 2008
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Lecture 3, January 15, 2008
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Lecture 4, January 17, 2008
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Lecture 5, January 22, 2008
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Lecture 6, January 24, 2008
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Lecture 7, January 28, 2008
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Lecture 8, January 31, 2008
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Lecture 9, February 5, 2008
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Lecture 10, February 7, 2008
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Lecture 11, February 12, 2008
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Lecture 12, February 19, 2008
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Lecture 13, February 21, 2008
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Lecture 14, February 26, 2008
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Lecture 15, February 28, 2008
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Lecture 16, March 4, 2008
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Lecture 17, March 6, 2008
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