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Last modified: 22 Jul 2025 11:46
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. You will also put the skills you have learned into practice by carrying out a small data analysis project in a small team.
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 | First Term | 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:
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 20 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Students will carry out an analysis project and produce a video presentation that they will upload to MyAberdeen. It will partly be graded via peer-review and by staff. |
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| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 30 | |
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| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 20 | |
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| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 30 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
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There are no assessments for this course.
| Assessment Type | Summative | Weighting | ||
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| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Factual | Remember | Demonstrate a familiarity and understanding of some key principles |
| Procedural | Analyse | Organise, summarise and analyse sets of data |
| Conceptual | Evaluate | Determine the strengths and limitations of an experimental design. |
| Procedural | Apply | Apply knowledge to interpret patterns in data. |
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