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BI2921: BIOLOGICAL ENHANCED SKILLS TRAINING (BEST) (2023-2024)

Last modified: 05 Oct 2023 08:46


Course Overview

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.



Course Details

Study Type Undergraduate Level 2
Session Summer School Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Martin Barker

What courses & programmes must have been taken before this course?

  • One of BSc Biology or BSc Conservation Biology or BSc Zoology or BSc Marine Biology or BSc Animal Behaviour or BSc Behavioural Biology or MSci Biological Sciences or BSc Biological Sciences (Honours) or BSc Plant and Soil Sciences or BSc Ecology or BSc Environmental Science
  • Programme Level 2

What other courses must be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

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
  • Preparing the way for Level 3 courses in SBS.





Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Class Test

Assessment Type Summative Weighting 25
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualEvaluateDetermine the strengths and limitations of an experimental design.
FactualRememberDemonstrate a familiarity and understanding of some key principles
ProceduralAnalyseOrganise, summarise and analyse sets of data
ProceduralApplyApply knowledge to interpret patterns in data.

Project: Individual

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualEvaluateDetermine the strengths and limitations of an experimental design.
FactualRememberDemonstrate a familiarity and understanding of some key principles
ProceduralAnalyseOrganise, summarise and analyse sets of data
ProceduralApplyApply knowledge to interpret patterns in data.

Class Test

Assessment Type Summative Weighting 25
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualEvaluateDetermine the strengths and limitations of an experimental design.
FactualRememberDemonstrate a familiarity and understanding of some key principles
ProceduralAnalyseOrganise, summarise and analyse sets of data
ProceduralApplyApply knowledge to interpret patterns in data.

Formative Assessment

Class Test

Assessment Type Formative Weighting
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback

Formative assessments- students will be given automated feedback on tests in MyAberdeen.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberDemonstrate a familiarity and understanding of some key principles
ProceduralAnalyseOrganise, summarise and analyse sets of data
ConceptualEvaluateDetermine the strengths and limitations of an experimental design.
ProceduralApplyApply knowledge to interpret patterns in data.

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