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BI3010: STATISTICAL ANALYSIS OF BIOLOGICAL DATA (2023-2024)

Last modified: 05 Oct 2023 08:46


Course Overview

You will utilise a robust approach to statistical analysis, a skill highly valued by employers and researchers.
Lectures provide context, background and step-by step guidance on how to conduct and interpret a selection of statistical analyses.
Through a series of exercises, you learn to explore data, to specify appropriate linear models for your research question and to interpret their results.
Online tests structured around the exercises and lecture content allow you to demonstrate your achievement of course learning outcomes.
Working with biological and environmental datasets in a structured and supportive environment, you will gain confidence and proficiency with data analysis.

 

Course Details

Study Type Undergraduate Level 3
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Louise Ross

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

  • One of BSc Biology or BSc Conservation Biology or BSc Zoology or BSc Animal Ecology or BSc Marine Biology or Bachelor Of Science In Animal Behaviour And Welfare or BSc Animal Behaviour or BSc Behavioural Biology or MSci Biological Sciences or BSc Biological Sciences (Honours) or BSc Plant and Soil Sciences or Bachelor Of Science In Environmental And Forest Management or BSc Ecology or BSc Forestry or BSc Forest Sciences or BSc Environmental Science
  • Any Undergraduate Programme (Studied)
  • Either Programme Level 3 or Programme Level 4

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

  • BI3007 Experimental Design, Analysis and Presentation (Studied)

Are there a limited number of places available?

No

Course Description

This course aims to instil a robust approach to statistical analysis. By engaging with a series a lectures and podcasts, completing a set of exercises that progressively add more complexity, you will learn how:

  1.  To conduct data exploration and determine an appropriate approach to data analysis;
  2.  To analyse a variety of types of data and interpret results from a range of analyses, and
  3.  To present the results from the analyses in an appropriate manner.

At the end of the course, students will be able to:conduct data exploration and determine an appropriate approach to data analysis;

  • analyse, interpret and present results from a variety of linear modelling analyses;
  • explain the strengths and weaknesses of different sampling designs;
  • characterise robust and reproducible research practices that relate to sampling, hypothesis testing and statistical analysis;.

Topics covered in the course include:
Probability distributions and descriptive statistics
Null hypothesis significance testing
Analysis of variance
Linear models with continuous predictors
Linear models with categorical predictors
Linear models with multiple predictors
Experimental design – blocking, BACI
Creating appropriate and effective figures

 


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 2 Computer Practicals during University week8
  • 1 Computer Practical during University weeks 8 - 12, 9 - 12
  • 1 Lecture during University weeks 8 - 13
  • 1 Support Tutorial during University weeks 8 - 12

More Information about Week Numbers


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 50
Assessment Weeks 13 Feedback Weeks 13

Look up Week Numbers

Feedback

Test 4 - summative

The test is delivered online through MyAberdeen and feedback on correct and incorrect answers is embedded and released to students two days after completion of the test.

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

Class Test

Assessment Type Summative Weighting 25
Assessment Weeks 11 Feedback Weeks 13

Look up Week Numbers

Feedback

Test 3 - summative

The test is delivered online through MyAberdeen and feedback on correct and incorrect answers is embedded and released to students two days after completion of the test.

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

Class Test

Assessment Type Summative Weighting 25
Assessment Weeks 10 Feedback Weeks 10

Look up Week Numbers

Feedback

Test 2 - summative

The test is delivered online through MyAberdeen and feedback on correct and incorrect answers is embedded and released to students two days after completion of the test.

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

Formative Assessment

Class Test

Assessment Type Formative Weighting
Assessment Weeks 9 Feedback Weeks 9

Look up Week Numbers

Feedback

Test 1  - formative.

The test is delivered online through MyAberdeen and feedback on correct and incorrect answers is embedded and released to students two days after completion of the test.

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

Resit Assessments

Resubmission of Failed Elements

Assessment Type Summative Weighting
Assessment Weeks Feedback Weeks

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Feedback
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
ProceduralApplyto conduct data exploration and determine appropriate approach to data analysis
ConceptualAnalyseto analyse and interpret results from a range of statistical analyses

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