This is an elective unit created for the revised BCS, BSE, BA/BCS, BSc/BCS degrees and the computer science major in the BSc degree following the faculty homogenisation and restructure of undergraduate degrees. It is based on the unit it supersedes: CSE3313 Computer Graphics.

This unit has been updated as part of a 2009 review and comparison of data with current Handbook, Syllabus + and Callista data.

June 2015 - Update to learning outcomes for AQF compliance.

21 March 2017. Revised Exam to 2 hours 60% as per University examination procedures, effective S2 2017.

20/9/2019: Admin - updating exam duration to include additional 10 minutes as per University requirement.

19/11/2020: Admin - this unit was disestablished at FEC 5/20 on 12/11/2020 as it is no longer required.

This is an elective unit for students doing majors in science, computer science or software engineering. It introduces two and three-dimensional computer graphics from a mathematical and algorithmic perspective.

This unit replaces CSE3313 Computer and has some similarities with FIT3005 Computer Graphics; however, there is a significantly different mathematical and algorithmic focus in this unit. Specific differences include: more extensive coverage on the mathematical description of shape, form, and transformations; mathematical analysis of homogenous affine transformations, perspective transformations; space and time complexity analysis of hidden surface elimination methods and introduction to the HSR from an algorithmic perspective; introduction to the BRDF and its relationship to the theory of illumination; introduction to global illumination models via the BRDF; algorithms for texture mapping from R^2 -andgt; R^3; aliasing theory; quaternions as a general method for object rotation; basic mathematical coverage of parametric curves and surfaces (interpolation methods, De Casteljau/de Boor algorithms, Hermite, Bezier, Beta and B-Spline representations); subdivision surfaces; and data-structures for polygon representation such as the winged-edge and twin-edge data-structures.

Computer graphics is classed as an essential part of an undergraduate degree in computer science by the ACM. Knowledge of computer graphics algorithms and graphics programming has two important benefits. Firstly, it gives students practical skills in a wide variety of in-demand' application disciplines, such as scientific, medical and architectural visualisation, computer games, and interactive virtual reality. Secondly, it provides an alternative way to learn and understand how algorithms can be used for visual applications.

At the completion of this unit students should be able to:

1. demonstrate the mathematical foundations for modelling 2D and 3D primitives such as points, lines, polygons and polyhedral, and explain how these primitives can be transformed using affine transformations;
2. compose and apply basic graphics transformations using homogeneous coordinates;
3. explain how a 2D view of a 3D scene can be produced using hidden surface elimination algorithms and parallel and perspective projections;
4. describe techniques for producing realistic depictions of scenes using techniques like textures and texture mapping, shadows and BRDF shading models such as Lambert, Phong, Blinns Phong, Torrance-Sparrow-Blinn-Cook-Beckmann, Oren-Nayar, radiosity and ray-tracing;
5. decompose the problem of producing graphics output into modelling and rendering components and apply this decomposition to produce well-structured graphics programs;
6. write simple programs using graphics software based on standards like OpenGL for producing 2D and 3D scenes.

020115

Computer graphics is concerned with the creation of synthetic images and virtual worlds. This unit introduces the essential algorithms, theory and programming concepts necessary to generate interactive 2D and 3D graphics. Students will gain practical experience using the industry standard OpenGL API to develop their own interactive graphics applications. The topics covered form the basis of core knowledge necessary for developing applications in scientific visualisation, virtual reality, visual special effects and computer games.

On-campus

Examination (2 hours and 10 minutes): 60%; In-semester assessment: 40%

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

(b.) Additional requirements (all students):

FIT

FIT2004 or CSE2304