Undergraduate Course: Numerical Recipes (PHYS10090)
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 10 (Year 3 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 | The main aim of this course is to develop an understanding of how numerical computations are implemented in practice. It will introduce the simplest
ways to implement functionality and then show how to achieve the same using library packages. There will be significant hands-on programming in Java. It is also intended to provide an opportunity for specialists to use a different language (this year either Python or C++).
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
Students MUST have passed:
Computer Simulation (PHYS08026) OR
Computer Modelling (PHYS09057)
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | Proficiency in JAVA.
Students must be able to prove proficiency in Java and use of a Unix environment. |
| 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: 2013/14 Semester 1, Available to all students (SV1)
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Learn enabled: Yes |
Quota: None |
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Web Timetable |
Web Timetable |
| Course Start Date |
16/09/2013 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
98 )
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| Additional Notes |
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| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| No Exam Information |
Summary of Intended Learning Outcomes
- Implement simple versions of standard numerical algorithms in a computer pro-gram
- Implement the same functionality using widely available numerical library packages
- To gain a practical grounding in how to deal with dealing with and analyzing data which arises in a real physics research environment.
- Resolve conceptual and technical difficulties by locating and integrating relevant information from a diverse range of sources
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Assessment Information
| Assessment will be 100% through assessed exercises performed during the course. |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
This course is taught through a combination of hands-on programming exercises in the CPLab. Two routes will be offered through the checkpoints: a Java-only route, and a multilingual route (aimed at specialists). At present students may elect to use Python or C++ subject to the agreement of the course organiser.
The course material will include:
- Matrices and matrix manipulation
- Minimisation methods
- Parameter fitting to data sets ( ¿2 and maximum likelihood)
- Random number generation, non uniform distributions
- Monte Carlo data set generation
- Simulation and analysis of a muon decay lifetime experiment
- Discrete fourier transforms
- Other numerical topics |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | NRec |
Contacts
| Course organiser | Prof Peter Clarke
Tel:
Email: peter.clarke@ed.ac.uk |
Course secretary | Miss Jillian Bainbridge
Tel: (0131 6)50 7218
Email: J.Bainbridge@ed.ac.uk |
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