Undergraduate Course: Computer Simulation (PHYS08026)
Course Outline
| School | School of Physics and Astronomy |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 8 (Year 2 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This course covers methods for solving scientific problems using computers. It provides a training in the computational modelling of scientific problems and their representation using computer graphics. It also provides a grounding in object-oriented programming through the practical application of the python programming language. Students will carry out extensive practical and project work. |
| Course description |
- Key concepts of OO programming;
- Analysis of problem statements to produce simple OO designs;
- Object oriented programming using python;
- Use of packages for scientific programming and visualisation in python;
- Writing simple graphical applications in python to visualise experimental results.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | It is RECOMMENDED that students do NOT also take
Computer Modelling (PHYS09057)
|
Other requirements | Students should have programming experience (preferably, but not necessarily, in python) to the level of, for example, the 'Scientific Programming' component of Practical Physics/Programming & Data Analysis |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2019/20, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 6,
Seminar/Tutorial Hours 5,
Supervised Practical/Workshop/Studio Hours 33,
Summative Assessment Hours 3,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
149 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Checkpoint assignments, 30%
Project (code and report), 70% |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Explain why it is appropriate to solve certain physical problems by computational methods.
- Design, write and debug programs to simulate physical systems.
- Critically analyse the results of computer simulations of physical systems.
- Recognise the importance of clear, consistently-documented and error-tolerant programs.
- Locate and use additional sources of information (including discussion with peers where appropriate) to resolve practical problems that may arise.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | CSim |
Contacts
| Course organiser | Prof Judy Hardy
Tel: (0131 6)50 6716
Email: |
Course secretary | Ms Iwona Soppa
Tel: (0131 6)50 5905
Email: |
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