Undergraduate Course: Computer Graphics: Rendering (INFR11246)
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 | This course replaces Computer Graphics (Level 11) (INFR11021) from 2023-2024.
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. |
| Course description |
SYLLABUS
Part I
* Introduction [1]
* Radiometry and photometry [1]
* Modelling [1]
* Special effects I: relighting [1]
* Special effects II: compositing [1]
Part II
* Raytracing [1]
* The rendering equation [2]
* Monte Carlo path tracing [2]
* Sampling [2]
* Camera effects [1]
Part III
* Participating media [1]
* Acceleration structures [1]
* MCMC methods for light transport [1]
* Gradient domain path tracing [1]
* Overview of current research [1/2]
* Discussion of open problems in rendering [1/2]
* Conclusion [1]
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | Students MUST NOT also be taking
Computer Graphics (Level 11) (INFR11021) AND
Computer Graphics (Level 11) (UG) (INFR11220)
|
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 | As above. |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2023/24, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 19,
Seminar/Tutorial Hours 8,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
71 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Coursework 100%
There will be 2 coursework submissions worth 100 marks each. The final mark will be an average of the two.
The courseworks will involve programming. Students will be expected to use a Large Language Model such as ChatGPT to produce sections of python and/or C++ code that they will use to construct working systems as per specifications.
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| Feedback |
The main feedback will be provided along with the marking for each coursework. Interactive feedback can be requested during office hours. In addition, public or private queries will be answered on the course Piazza page. |
| No Exam Information |
Learning Outcomes
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
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Additional Information
| 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. |
| Keywords | Rendering,Real-time,Monte Carlo Image Synthesis,Raytracing,Light transport,Rasterization |
Contacts
| Course organiser | Dr Kartic Subr
Tel: (0131 6)50 2936
Email: K.Subr@ed.ac.uk |
Course secretary | Miss Yesica Marco Azorin
Tel: (0131 6)505113
Email: ymarcoa@ed.ac.uk |
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