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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016
- ARCHIVE as at 1 September 2015
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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
Credit level (Normal year taken)SCQF Level 10 (Year 4 Undergraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis 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.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Computer Modelling (PHYS09057) OR Experimental Physics (PHYS09049) OR Observational Astronomy (PHYS09059)
It is RECOMMENDED that students have passed Fourier Analysis and Statistics (PHYS09055) OR Fourier Analysis (PHYS09054)
Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2015/16, Not available to visiting students (SS1) Quota:  44
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 4, 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 56 )
Assessment (Further Info) Written Exam 0 %, Coursework 40 %, Practical Exam 60 %
Additional Information (Assessment) 100% coursework
Feedback Not entered
No Exam Information
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.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsDAH
Contacts
Course organiserProf Franz Muheim
Tel: (0131 6)50 5307
Email: F.Muheim@ed.ac.uk		 Course secretaryMrs Siobhan Macinnes
Tel: (0131 6)51 3448
Email: Siobhan.MacInnes@ed.ac.uk
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