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The University of Southampton
Courses

ENVS3023 Advanced Quantitative Methods (UG)

Module Overview

Aims and Objectives

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • The need for both a multi-disciplinary and an interdisciplinary approach in advancing knowledge and understanding of Earth systems, drawing, as appropriate, from the natural and the social sciences.
  • The processes which shape the natural world at different temporal and spatial scales and their influence on and by human activities.
  • The terminology, nomenclature and classification systems used in environmental science.
  • Methods of acquiring, interpreting and analysing environmental science information with a critical understanding of the appropriate contexts for their use.
  • The contribution of environmental science to the development of knowledge of the world we live in.
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • Recognising and using subject-specific theories, paradigms, concepts and principles.
  • Analysing, synthesising and summarising information critically, including prior research.
  • Collecting and integrating several lines of evidence to formulate and test hypotheses.
  • Applying knowledge and understanding to complex and multidimensional problems in familiar and unfamiliar contexts.
Transferable and Generic Skills

Having successfully completed this module you will be able to:

  • Receiving and responding to a variety of information sources (eg textual, numerical, verbal, graphical).
  • Communicating appropriately to a variety of audiences in written, verbal and graphical forms.
  • Appreciating issues of sample selection, accuracy, precision and uncertainty during collection, recording and analysis of data in the field and laboratory.
  • Preparing, processing, interpreting and presenting data, using appropriate qualitative and quantitative techniques and packages including geographic information systems solving numerical problems using computer and non-computer-based techniques.
  • Using the internet critically as a means of communication and a source of information.
  • Using the internet critically as a means of communication and a source of information.
Subject Specific Practical Skills

Having successfully completed this module you will be able to:

  • Planning, conducting, and reporting on environmental investigations, including the use of secondary data.
  • Collecting, recording and analysing data using appropriate techniques in the field and laboratory.
  • Referencing work in an appropriate manner.

Syllabus

This module will include, but is not limited to: Approaches to data analysis Data preparation and visualisation techniques Transformations Resampling methods Linear additive models Non-linear models and machine learning An introduction to Bayesian techniques The focus will be on combining the strengths of Excel, SPSS and R, plus other open-source packages such as JASP.

Learning and Teaching

Teaching and learning methods

The module consists of a series of lectures and workshops covering the theory, background and potential applications of the modelling techniques covered. These will be supplemented by practical computer sessions that enable you to put the theory into practice.

TypeHours
Lecture11
Practical classes and workshops33
Independent Study106
Total study time150

Assessment

Summative

MethodPercentage contribution
Class Test 50%
Class Test 50%

Referral

MethodPercentage contribution
Class Test 100%

Linked modules

Pre-requisites

To study this module, you will need to have studied the following module(s):

CodeModule
ENVS1005Quantitative Methods
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