Postgraduate Course: Computer Graphics (Level 11) (INFR11021)

Course Outline
School	School of Informatics	College	College of Science and Engineering
Credit level (Normal year taken)	SCQF Level 11 (Year 4 Undergraduate)	Availability	Available to all students
SCQF Credits	10	ECTS Credits	5
Summary	The course presents the fundamental concepts and techniques for the generation of simple line drawings through to realistic, synthetic images of 3D objects and scenes. Some current research topic or topics will be presented if there is time. The focus of the course is on algorithms, understanding the mathematical basis and how you implement rather than simply use in applications.
Course description	The coverage of topics is as follows: 1. Line drawing 2. Object representations 3. 3D transformations, view transformations 4. Rasterization, anti-aliasing 5. Illumination, shading 6. Texture mapping, bump mapping 7. Hidden surface removal 8. Environment mapping, mirroring 9. Shadowing 10. Global illumination 11. Parametric curves and surfaces Relevant QAA Computing Curriculum Sections: Artificial Intelligence, Computer Based Systems, Data Structures and Algorithms, Developing Technologies, Graphics and Sound, Human Computer Interaction (HCI)

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations		Other requirements	This course is open to all Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser. Students are assumed to have mathematical knowledge and have substantial programming experience. Knowledge of algorithms and data structures relating to geometry will also be assumed.

Information for Visiting Students
Pre-requisites	Visiting students are required to have comparable background to that assumed by the course prerequisites listed in the Degree Regulations & Programmes of Study. If in doubt, consult the course lecturer.
High Demand Course?	Yes

Course Delivery Information

Academic year 2017/18, Available to all students (SV1)		Quota: None
Course Start	Semester 1
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 100 ( Lecture Hours 20, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 76 )
Assessment (Further Info)	Written Exam 70 %, Coursework 30 %, Practical Exam 0 %
Additional Information (Assessment)	The course is assessed by a written examination and two generally unrelated practical exercises each worth 15%. You should expect to spend approximately 30 hours on the coursework for this course. If delivered in semester 1, this course will have an option for 'semester 1 only' visiting undergraduate students, providing assessment prior to the end of the calendar year.
Feedback	Not entered
Exam Information
Exam Diet	Paper Name		Hours & Minutes
Main Exam Diet S2 (April/May)			2:00

Academic year 2017/18, Part-year visiting students only (VV1)		Quota: None
Course Start	Semester 1
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 100 ( Lecture Hours 20, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 76 )
Assessment (Further Info)	Written Exam 70 %, Coursework 30 %, Practical Exam 0 %
Additional Information (Assessment)	The course is assessed by a written examination and two generally unrelated practical exercises each worth 15%. You should expect to spend approximately 30 hours on the coursework for this course. If delivered in semester 1, this course will have an option for 'semester 1 only' visiting undergraduate students, providing assessment prior to the end of the calendar year.
Feedback	Not entered
Exam Information
Exam Diet	Paper Name		Hours & Minutes
Main Exam Diet S1 (December)			2:00

Learning Outcomes
On completion of this course, the student will be able to: Analyse and synthesise algorithms for the display of anti-aliased lines in Euclidean space, and of space curves and surfaces of arbitrary smoothness Model any arbitrary shape of 3D object and to perform combinations of affine transformations on these objects in 3D space Construct views from arbitrary viewpoints in space and project to an image plane , and order objects from the viewpoint in order to perform visible surface computations Use surface properties of objects and scene illuminations to produce realistic images modelling the interaction of light and objects within a scene Calculate the shadows based on the relationships of the lights and objects , and simulate the movement of photons to compose realistic images