Postgraduate Course: Computer Graphics (Level 11) (INFR11021)
|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
|Summary||This introductory course in computer graphics comprises of three parts. The first part of the course presents a bird's-eye view of the current state-of-the-art in the field. The latter two parts cover rendering, which is one of the core topics in computer graphics, in detail. The second part of the course teaches central concepts in rendering, along with the relevant mathematics. Finally, the third part of the course focusses on applications of the theory taught in the second part.
* Introduction 
* Radiometry and photometry 
* Modelling 
* Special effects I: relighting 
* Special effects II: compositing 
* Raytracing 
* The rendering equation 
* Monte Carlo path tracing 
* Sampling 
* Camera effects 
* Participating media 
* Acceleration structures 
* MCMC methods for light transport 
* Gradient domain path tracing 
* Overview of current research [1/2]
* Discussion of open problems in rendering [1/2]
* Conclusion 
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| All coursework will involve programming, and so it is expected that students will have programming experience. The rendering libraries used in the course are written in C++. Some provide Python interfaces. The workload has been estimated assuming relevant programming experience.
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 instructor. The rendering libraries used in the course are written in C++. Some provide Python interfaces.
This course is open to full year Visiting Students only, as the course is delivered in Semester 1 and examined at the end of Semester 2
|High Demand Course?
Course Delivery Information
|Academic year 2019/20, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 19,
Seminar/Tutorial Hours 8,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Written Exam ___0__%
Practical Exam __0___% (for courses with programming exams)
There will be 3 coursework submissions, one associated with each part of the course, and all three will be marked. For each student, the best two marks (of the three) will contribute to the final grade.
||The main feedback in this course will be along with the marking for each of the coursework (3 in total).
Interactive feedback can be requested during office hours (of the instructor as well as TA). In addition, public or private queries will be answered on a Piazza page associated with the course.
Any confusion, misunderstanding or mistakes that seem to be common (for each assignment) will be discussed in the tutorial hour following the marking of that assignment.
||Hours & Minutes
|Main Exam Diet S2 (April/May)||2:00|
On completion of this course, the student will be able to:
- Define different sub-topics of Computer Graphics and to identify the focus of each of these areas. The student will also be able to describe the key open (and imminent) problems in each focus area.
- Explain the difference between real-time rendering systems (used in the video game industry) and physically-based rendering (used in cinematic and medical applications).
- Predict performance and output of state-of-the-art rendering libraries and tools for different classes of input models.
- Design and develop programs to solve specific rendering problems by exploiting features of state-of-the-art rendering libraries.
- Interpret the results of standard algorithms on their respective failure cases, and suggest alternatives.
|Graduate Attributes and Skills
||* Practical skills: understanding and using open-source libraries to solve problems, application of theoretical concepts to solve novel practical problems.
* Cognitive skills: problem-solving, analytical thinking.
* Responsibility, autonomy and effectiveness: independent learning, creativity and time-management.
||All coursework will involve programming, and so it is expected that students will have programming experience. The rendering libraries used in the course are written in C++. Some provide Python interfaces. The workload has been estimated assuming relevant programming experience.
|Keywords||Rendering,Real-time,Monte Carlo Image Synthesis,Raytracing,Light transport,Rasterization
|Course organiser||Dr Kartic Subr
Tel: (0131 6)50 2936
|Course secretary||Miss Clara Fraser
Tel: (0131 6)51 4164