Last modified: 31 May 2022 13:24
The course will help you develop or consolidate skills in experimental design, sampling, analysis, presentation, and interpretation of data. You will be encouraged to seek to improve your academic writing and develop other transferable skills.
Each week, there are one 1-2 recorded introductory lectures to help you prepare for the computer practicals. In two 2-hour sessions you will work through a series of computer-based data tasks, using relevant and realistic biological and environmental themes.
Teaching is informal and friendly. During sessions, staff will chat to you about your progress and provide help where necessary.
Assessments are two online tests (each 25%) and an individual project (50%).
| 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: Consolidating existing skills; developing new skills and preparing the way for Level 3 courses in SBS.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
For online tests, generic feedback will be given to the class, and students will be given individual feedback on request. Written feedback will be provided on individual projects. |
|||
| 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 |
For online tests, generic feedback will be given to the class, and students will be given individual feedback on request. Written feedback will be provided on individual projects.
|
|||
| 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. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | ||
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Apply knowledge to interpret patterns in data. |
| 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 |
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