Last modified: 23 Jul 2024 11:10
The course will help you develop or consolidate skills in experimental design, sampling, analysis, presentation, and interpretation of data.
Each week, there are one 1-2 recorded introductory lectures to help you prepare for the computer practicals. In two 2-hour sessions per week you will work through a series of computer-based data tasks, using relevant and realistic biological and environmental themes. The course will introduce you to different types of software which can be used to analyse data, including Excel, Minitab, and R studio.
Teaching is informal and friendly. During sessions, staff will chat to you about your progress and provide help where necessary.
| Study Type | Undergraduate | Level | 2 |
|---|---|---|---|
| Term | Summer School | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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The course will focus on a series of essential skills, associated with becoming an effective and successful biologist or environmental scientist. These enhanced skills include hypothesis formulation, experimental design, data distributions and probability, data handling descriptive and inferential statistics, and interpreting data in terms of biological or environmental science. The emphasis throughout will be on:
| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Evaluate | Determine the strengths and limitations of an experimental design. |
| Factual | Remember | Demonstrate a familiarity and understanding of some key principles |
| Procedural | Analyse | Organise, summarise and analyse sets of data |
| Procedural | Apply | Apply knowledge to interpret patterns in data. |
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Evaluate | Determine the strengths and limitations of an experimental design. |
| Factual | Remember | Demonstrate a familiarity and understanding of some key principles |
| Procedural | Analyse | Organise, summarise and analyse sets of data |
| Procedural | Apply | Apply knowledge to interpret patterns in data. |
| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Evaluate | Determine the strengths and limitations of an experimental design. |
| Factual | Remember | Demonstrate a familiarity and understanding of some key principles |
| Procedural | Analyse | Organise, summarise and analyse sets of data |
| Procedural | Apply | Apply knowledge to interpret patterns in data. |
| Assessment Type | Formative | Weighting | ||
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Formative assessments- students will be given automated feedback on tests in MyAberdeen. |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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|
||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Analyse | Organise, summarise and analyse sets of data |
| Factual | Remember | Demonstrate a familiarity and understanding of some key principles |
| Procedural | Apply | Apply knowledge to interpret patterns in data. |
| Conceptual | Evaluate | Determine the strengths and limitations of an experimental design. |
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