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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 


Course Curriculum

Module: 01
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
Module: 02
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
Module: 03
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
Certification 00:00:00

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