SCIU4T4: Statistical Techniques

CO-ORDINATOR: Dr Jens-Arne Subke

Prerequisites

Before taking this module it is advised that you should have passed:

  • or 2 of Level 8 modules in Bio/Env/Geog
    • BIO1CB
    • ENV2LE
    • GEO1PE
    • ENV1GE
    • GEO2EI
    • BIO2IP
  • or 2 of Level 8 modules in Bio/Env/Geog
    • People and the Environment (GEOU1PE)
    • Introduction to Physiology (BIOU2IP)
    • Building Planet Earth (ENVU1GE)
    • Global Environmental Issues (GEOU2EI)
    • Introduction to Cell Biology (BIOU1CB)
    • Landscape Evolution (ENVU2LE)

Module Description

The module will help to develop your statistical and IT skills and apply them to environmental, ecological and biological data sets.

Module Objectives

This module is designed to familiarise you with:

  • Statistical analysis and associated computing software to implement it.
  • Hypothesis testing.
  • Basic statistical techniques that are used in analysing data;
  • Applications of statistical techniques to a range of environmental and biological data sets and problems.
  • Describing and reporting statistical analysis in report writing
  • Answering unseen questions about statistical problems in a time-limited context

Learning Outcomes

The methods you learn in this module will be applied in many of the subsequent modules that you will follow. In particular, the 5th semester module, Field and Laboratory Techniques (ENVU5T5/BIOU5T5), is designed to follow on from this module and apply the techniques learnt with environmental/biological data that you collect yourselves through your own group project work.  The skills learnt from both these modules will help you with your Honours dissertation design, execution, analysis and presentation.  The course will also provide you with important transferable skills.

Delivery

Scheduled Teaching: 50 hours
Independent Study: 150 hours
Placements: 0 hours

Assessment

Coursework: 50%
Examination: 50%
Practical: 0%

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