The [course_title] focus on cutting-edge research in visualization, in particular on topics related to spatial data visualization (colloquially known as “scientific visualization”). Advanced material related to the theory, numerical methods, and techniques for visualization spatial data will be covered. The course has a narrow focus on the most recent research and tools that are based on foundational material over the past thirty years from the visualization community.
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Course Credit: Open Culture
|Review of Essential Scalar Field Visualization Methods||01:25:00|
|Ray Casting Based on Higher-degree Polynomial Data Approximation||01:23:00|
|Ray Casting Based on Piecewise Trilinear and Tricubic Approximation||01:30:00|
|Review of Essential Vector/Flow Field Visualization Methods||01:30:00|
|Topological Flow Field Analysis/Visualization and Linear Vector Field Theory||01:25:00|
|Introduction to Scattered Data Approximation||01:21:00|
|Shepard’s and Hardy’s Multiquadric (and Reciprocal Multiquadric) Methods for the Trivariate Case||01:23:00|
|Motivation for Triangulation-based Scattered Data Approximation||01:29:00|
|Curved Elements – Part 1||00:58:00|
|Curved Elements – Part 2||00:23:00|
|Data Approximation over Triangle Meshes||01:23:00|
|Cubic Clough-Tocher Split Scheme for Volumetric/Trivariate Case||01:25:00|
|Data Structure Requirements for Voronoi Diagrams||01:27:00|
|Doo-Sabin Subdivision Scheme||01:25:00|
|Sibson Interpolation for 3D/Volumetric Domains||01:27:00|
|Best Linear Spline Approximation in the Univariate Case||01:14:00|
|Submit Your Assignment||00:00:00|
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