BSc Computer Science with Industrial Experience / Course details
Year of entry: 2022
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Course unit details:
Introduction to Visual Computing
|Unit level||Level 2|
|Teaching period(s)||Semester 2|
|Offered by||Department of Computer Science|
|Available as a free choice unit?||Yes|
The importance of visual interfaces has never been greater. Graphical interfaces have become ubiquitous, from desk-top interaction, to games and three-dimensional virtual environments. In parallel, there has been an explosion in digital image processing and analysis. We take for granted digital photography and video, while our health services rely on digital X-ray systems, CT and MRI scanners for seeing inside our bodies. Meanwhile, the visualization of computer simulations is an essential aspect of product design and testing, genome exploration, drug design, and climate modelling. The demand for computer scientists with advanced knowledge of such areas has never been greater.
The theme will enhance your knowledge and understanding, answering such questions as:
- How are three-dimensional environments represented in a computer, and how are interactive 3D worlds created?
- How are 2D and 3D representations combined ? for example, how can we recover 3D geometry from 2D images?
- How are the basic mathematical techniques and algorithms used to build useful applications?
- How are images stored, processed and manipulated?
- How can computers interpret images captured by cameras and other recording devices?
Describe the principles of interactive computer graphics
Design systems using programmable-pipeline OpenGL
Apply the mathematics of 3D transformations and viewing
Describe the principles of the rendering pipeline
Describe the principles of image processing
Implement fundamental image processing algorithms
Teaching and learning methods
24 hours spread over 12 weeks
10 hours in total, 5 2-hour sessions.
- Analytical skills
- Project management
- Problem solving
|Practical skills assessment||30%|
Face to face feedback and marking in programming laboratories.
COMP27112 reading list can be found on the Department of Computer Science website for current students.
|Scheduled activity hours|
|Assessment written exam||2|
|Practical classes & workshops||10|
|Independent study hours|
|David Morris||Unit coordinator|
Course unit materials
Links to course unit teaching materials can be found on the School of Computer Science website for current students.