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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
- ARCHIVE as at 1 September 2014

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DRPS : Course Catalogue : School of Physics and Astronomy : Undergraduate (School of Physics and Astronomy)

Undergraduate Course: Data Acquisition and Handling (PHYS10100)

Course Outline
SchoolSchool of Physics and Astronomy CollegeCollege of Science and Engineering
Course typeStandard AvailabilityNot available to visiting students
Credit level (Normal year taken)SCQF Level 10 (Year 4 Undergraduate) Credits10
Home subject areaUndergraduate (School of Physics and Astronomy) Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThis 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
KeywordsDAH
Contacts
Course organiserProf Franz Muheim
Tel: (0131 6)50 5307
Email: F.Muheim@ed.ac.uk
Course secretaryMs Dawn Hutcheon
Tel: (0131 6)50 7218
Email: Dawn.Hutcheon@ed.ac.uk
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