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 |
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Co-requisites | |
Prohibited Combinations | It is RECOMMENDED that students do NOT also take
Computer Modelling (PHYS09057)
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Other requirements | Students should have programming experience (preferably, but not necessarily, in python) to the level of, for example, the 'Scientific Programming' component of Experimental Physics 2 OR Programming & Data Analysis OR Practical Physics |
Information for Visiting Students
Pre-requisites | None |
High Demand Course? |
Yes |
Course Delivery Information
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Academic year 2020/21, Available to all students (SV1)
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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 %
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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: j.hardy@ed.ac.uk |
Course secretary | Miss Helen Walker
Tel: (0131 6)50 7741
Email: hwalker7@ed.ac.uk |
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