Undergraduate Course: Programming and Data Analysis (PHYS08049)
Course Outline
| School | School of Physics and Astronomy |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 8 (Year 2 Undergraduate) |
Credits | 10 |
| Home subject area | Undergraduate (School of Physics and Astronomy) |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | This course provides an introduction to computer programming and data analysis. It serves as a preparation for further study in some physics-related degree programmes, and as a stand-alone course for students of other disciplines, including mathematics, chemistry, geosciences, computer science and engineering. The course consists of laboratory sessions and workshops to develop understanding, familiarity and fluency. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
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| Delivery period: 2012/13 Semester 1, Available to all students (SV1)
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Learn enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
First class information not currently available |
| No Exam Information |
Summary of Intended Learning Outcomes
On completion of this course it is intended that student will be able to:
- Appreciate the relationship between experiment, theory and computation as scientific techniques
- Explain the importance of reproducibility of scientific work, and the role that quantitative statements of confidence in results play in achieving this
- Present a record of a computation in an appropriate, clear and logical written form (e.g. fully documented computer code), augmented with figures and graphs where appropriate.
- Assess whether an output from a computer program is physically reasonable
- Locate and use additional sources of information (to include discussion with peers where appropriate) to resolve problems that arise in the computational physics laboratories
- Take responsibility for learning by attending laboratory sessions and workshops, and completing coursework
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Assessment Information
60% Programming/Computing Skills
40% Data Analysis |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | |
Course secretary | |
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