Undergraduate Course: Data Acquisition and Handling (PHYS10100)
Course Outline
School | School of Physics and Astronomy |
College | College of Science and Engineering |
Course type | Standard |
Availability | Not available to visiting students |
Credit level (Normal year taken) | SCQF Level 10 (Year 4 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 is a final 10pt course in experimental techniques taken by Physics students in S1. It combines elements of digital electronics (replacing part of JH Electronic Methods), with modern approaches to data acquisition and analysis. The intention is to prepare students for SH and MPhys experimental projects. |
Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
|
Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Additional Costs | None |
Course Delivery Information
|
Delivery period: 2014/15 Semester 1, Not available to visiting students (SS1)
|
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
(
Supervised Practical/Workshop/Studio Hours 33,
Summative Assessment Hours 3,
Revision Session Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
60 )
|
Additional Notes |
|
Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
No Exam Information |
Summary of Intended Learning Outcomes
A preliminary outline syllabus is as follows:
* Analogue signal processing. Treatment of noise.Filtering. Buffering using sample and hold;
* Analogue to digital conversion. Sampling rates. Characteristics & errors;
* Digital signal processing. Triggering. Fourier transforms;
* Data acquisition using LabView (and other software packages?);
* Advanced data analysis. Multi-parameter likelihood fits;
* Practical examples, e.g. cosmic rays, Si PIN photodiodes, digital signal genera- tors, image processing with CCDs.
|
Assessment Information
100% coursework |
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 | DAH |
Contacts
Course organiser | Prof Franz Muheim
Tel: (0131 6)50 5307
Email: F.Muheim@ed.ac.uk |
Course secretary | Ms Dawn Hutcheon
Tel: (0131 6)50 7218
Email: Dawn.Hutcheon@ed.ac.uk |
|
© Copyright 2014 The University of Edinburgh - 29 August 2014 4:37 am
|