Undergraduate Course: Computer Graphics: Geometry and Simulation (UG) (INFR11247)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Year 4 Undergraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course follows the delivery and assessment of Computer Graphics: Geometry and Simulation (INFR11241) exactly. Undergraduate students must register for this course, while MSc students must register for INFR11241 instead. |
| Course description |
This course follows the delivery and assessment of Computer Graphics: Geometry and Simulation (INFR11241) exactly. Undergraduate students must register for this course, while MSc students must register for INFR11241 instead.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | Students MUST NOT also be taking
Computer Graphics: Geometry and Simulation (INFR11241)
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Other requirements | This course follows the delivery and assessment of Computer Graphics: Geometry and Simulation (INFR11241) exactly. Undergraduate students must register for this course, while MSc students must register for INFR11241 instead.
Enrolled students are assumed to have:
- Basic algebra and geometry (e.g., vectors, rotations, trigonometry etc.). We will publish a concrete list of recommended concepts.
- Physics to understand Newton's Laws of Motion.
Students should be comfortable with programming in C++. |
Course Delivery Information
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| Academic year 2025/26, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 18,
Seminar/Tutorial Hours 4,
Supervised Practical/Workshop/Studio Hours 4,
Feedback/Feedforward Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
70 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Feedback |
The students will be able to check their own work on diverse in-puts and will have one exercise with specific emphasis on pro-cessing feedback from programming in geometry and simulation. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- identify and isolate geometric problems and produce an algorithm to fit
- implement basic method in geometry and simulation which would be adequate for either further re-search or as an initial knowledge to find work in the relevant industry (example of advanced industry that uses this core knowledge: 3D printing, architectural design, medical imaging, weather simulations, robotics)
- use software and tools (e.g.,C++) to implement geometric algorithms and test their results
- identify, fix, and test for possible issues with geometric algorithms in a way that transcends just 'soft-ware bugs' but rather problems with a geometric context
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Reading List
The course will be self-contained with no required books;
A list of useful resources:
1. Polygon Mesh Processing (http://www.pmp-book.org/)
2. A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing (https://www.routledge.com/A-Sampler-of-Useful-Computational-Tools-for-Applied-Geometry-Computer/Cohen-Or-Greif-Ju-Mitra-Shamir-Sorkine-Hornung-Zhang/p/book/9781498706285#googlePreviewContainer).
3. Physics for Game Developers, 2nd Edition, By David Bourg, Bryan Bywalec.
4. Physically Based Modeling: Principles and Practice (Online Siggraph '97 Course notes) |
Additional Information
| Course URL |
https://opencourse.inf.ed.ac.uk/cggs |
| Graduate Attributes and Skills |
Knowledge integration: This course will integrate and apply knowledge from more basic courses (e.g., math) and teach basic techniques that will be useful in latter or parallel courses (robotics, vision, bioinformatics).
Problem-solving skills: The students will develop their problem-solving skills by experimenting empirically with complex algorithms and their possible issues. The 'debugging geometry' subject is particularly useful in this aspect.
Critical and analytical thinking: The students will have to deeply understand and analyse the presented methodology so they could bring it into implementation in the practicals. |
| Keywords | Computer Graphics,Geometry Processing,Game Physics,Simulation |
Contacts
| Course organiser | Dr Amir Vaxman
Tel: (0131 6)50 8286
Email: avaxman@inf.ed.ac.uk |
Course secretary | Miss Toni Noble
Tel: (0131 6)50 2692
Email: Toni.noble@ed.ac.uk |
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