- ARCHIVE as at 1 September 2014

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Physics and Astronomy : Undergraduate (School of Physics and Astronomy)

Undergraduate Course: Numerical Recipes (PHYS10090)

Course Outline
SchoolSchool of Physics and Astronomy CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) Credits10
Home subject areaUndergraduate (School of Physics and Astronomy) Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThe 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++).
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Computer Simulation (PHYS08026) OR Computer Modelling (PHYS09057)
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
Displayed in Visiting Students Prospectus?No
Course Delivery Information
Delivery period: 2014/15 Semester 1, Available to all students (SV1) Learn enabled:  Yes Quota:  None
Web Timetable Web Timetable
Course Start Date 15/09/2014
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 )
Additional Notes
Breakdown of Assessment Methods (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
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
Assessment Information
The course will be 100% assessed through coursework consisting:

1. Checkpoints during the workshop sessions

2. A final exercise which will include the writing of code, a user manual for the code, and an accompanying report presenting the results of running the code.
Special Arrangements
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 ( Chi squared 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
Course organiserProf Peter Clarke
Course secretaryMrs Bonnie Macmillan
Tel: (0131 6)50 5905
Help & Information
Search DPTs and Courses
Degree Programmes
Browse DPTs
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Important Information
© Copyright 2014 The University of Edinburgh - 29 August 2014 4:37 am