Postgraduate Programme and Module Handbook 2016-2017 (archived)
Module PHYS40115: Experimental Design and Analysis
Department: Physics
PHYS40115: Experimental Design and Analysis
| Type | Open | Level | 4 | Credits | 15 | Availability | Not available in 2016/17 | Module Cap | None. |
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| Tied to |
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Prerequisites
- <If other modules, please enter module code using 'Right Click, Insert module_code' or enter module title>
Corequisites
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Excluded Combination of Modules
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Aims
- To teach and learn the basics of multidisciplinary experimental design and data analysis.
Content
- Error consideration in experimental design.
- Error analysis and statistical approach multidisciplinary projects.
- Systematic approach to image analysis.
- Multidisciplinary experimental planning.
- Project Management.
- Data presentation of multi-faceted data sets.
Learning Outcomes
Subject-specific Knowledge:
- Core physical science error analysis.
- Complex experimental planning.
- Image analysis.
Subject-specific Skills:
- Experimental design.
- Integration of multidisciplinary datasets.
- Presentation of data written and visually.
Key Skills:
- Experimental planning.
- Project management.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Lectures will provide the means to give concise, focussed presentation of the relevant subject matter of the module. They will be supported by reference to suitable text books and where appropriate by the distribution of written material or through links on DUO (on-line learning resource).
- Problem sheets will be given regularly in lectures to help students gain an understanding of the concepts presented. These will be assessed formatively.
- Workshops in which students work through real experimental problems will be used as support teaching.
- Student performance will be assessed summatively through a written project/experimental design with an oral discussion with a suitable examiner.
- Formative assessments will provide the means for the student to demonstrate their acquisition of subject knowledge and the development of their problem solving skills. The tests will also provide opportunities for feedback, for students to gauge their progress, and for the Management Committee to monitor progress throughout the duration of the module.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| Lectures | 10 | 1 | 1 | 10 | |
| Workshops | 2 | 2 | 4 | ||
| Self Study | 136 | ||||
| Total | 150 |
Summative Assessment
| Component: Experimental Design report | Component Weighting: 60% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Experimental Design report | 2 | 100% | Y |
| Component: Oral on report | Component Weighting: 40% | ||
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Oral on report | 1 | 100% | Y |
Formative Assessment:
Problem sheets distributed in lectures.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University