Undergraduate Course: Data Acquisition and Handling (PHYS10100)
Course Outline
| School | School of Physics and Astronomy |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This is a 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 |
- Analogue signal processing. Treatment of noise. Filtering. Buffering using sample and hold;
- Analogue to digital conversion. Sampling rates. Characteristics & errors;
- Digital to analogue signal conversion;
- Communication protocols (Bus standards). Input/Output (I/O);
- Digital signal processing. Triggering. Fourier transforms;
- Data acquisition using a Raspberry Pi and Arduino and python;
- Advanced data analysis. Multi-parameter likelihood fits;
- Practical examples, e.g. temperature sensors, ultrasound sensors, FFT spectrum analyser, synthesizer, digital signal generators, motion sensors, remote sensing, image processing, with CCDs.
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Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2017/18, 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
50 %,
Practical Exam
50 %
|
| Additional Information (Assessment) |
100% coursework |
| Feedback |
Not entered |
| No Exam Information |
|
| Academic year 2017/18, Part-year visiting students only (VV1)
|
Quota: 2 |
| 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
50 %,
Practical Exam
50 %
|
| Additional Information (Assessment) |
100% coursework |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Understand core concepts of data acquisition, data handling and data analysis in physical sciences;
- Apply standard practical laboratory techniques (e.g. routine handling of data acquisition equipment and writing short, procedural computer programs) as directed in a script to achieve a stated goal;
- Apply advanced practical laboratory techniques (e.g. handling of complex data acquisition equipment, and writing data acquisition computer programs) with limited direction to achieve a stated or open-ended goal;
- Apply advanced data handling and data analysis techniques (e.g., data selection and representation, multi-parameter likelihood fits and writing data analysis computer programs) with limited direction to achieve a stated or open-ended goal;
- Present a record of an experiment or computation in an appropriate, clear and logical written form (e.g. laboratory notebook, laboratory report, fully documented computer code), augmented with figures graphs, audio or movies where appropriate.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | DAH |
Contacts
| Course organiser | Prof Franz Muheim
Tel: (0131 6)50 5235
Email: |
Course secretary | Mrs Siobhan Macinnes
Tel: (0131 6)51 3448
Email: |
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