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2014/15 Taught Postgraduate Module Catalogue
COMP5880M Scientific Visualization
15 creditsClass Size: 30
Module manager: Dr David Duke
Email: d.j.duke@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2014/15
Pre-requisites
COMP5930M | Scientific Computation |
This module is not approved as an Elective
Objectives
On completion of this module, students should be able to:- Understand the use of visualization in interpreting data
- Understand different kinds of data and how these fundamentally determine visualization methods;
- Understand core technical concepts, including data representation and processing models;
- Understand major algorithms for classes of data, including how and when they are used;
- Use a visualization toolkit API to construct visualizations of a new dataset;
- Articulate the relationship between visualization and fundamental computational methods;
- Identify performance characteristics and bottlenecks in a visualization algorithm;
- Implement and critique a new visualization technique.
Syllabus
I: Foundational material
- origins, rationale and development of scientific visualization;
- continuous fields versus discretely sampled data;
- types of data: scalar, vector, and tensor, and how they arise;
- the visualization pipeline model;
- representing data - exploiting geometric and topological regularity;
- visualization using VTK
- scalar algorithms, including isosurfacing and volume rendering;
- vector algorithms, including hedgehogs and streamtubes;
- rendering and interaction;
- further tools: probing, cutting, glyphing, resampling;
- introduction to image-based algorithms;
- "under the bonnet" - efficient data structures for meshes and volumes;
II: One or more of the following advanced topics:
- computational geometry: Voronoi diagrams, Delaunay triangulations, convex hulls;
- computational topology: Reeb graphs and Morse-Smale complex;
- Parallel visualization using ParaView;
- illustrative visualization;
- linking scientific and information visualization;
Teaching methods
Delivery type | Number | Length hours | Student hours |
Laboratory | 11 | 1.00 | 11.00 |
Lecture | 22 | 1.00 | 22.00 |
Private study hours | 117.00 | ||
Total Contact hours | 33.00 | ||
Total hours (100hr per 10 credits) | 150.00 |
Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
Assignment | Coursework | 20.00 |
Assignment | Coursework | 10.00 |
Assignment | Coursework | 10.00 |
Total percentage (Assessment Coursework) | 40.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exams
Exam type | Exam duration | % of formal assessment |
Standard exam (closed essays, MCQs etc) | 2 hr | 60.00 |
Total percentage (Assessment Exams) | 60.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
There is no reading list for this moduleLast updated: 06/08/2014
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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