Anthropology|Creative Arts and Design|Multimedia Design

UG Module Content

Led by interactive documentary artist, Ludovica Fales, the idea behind the module is to build an interactive journey from idea to prototype,...

Experimental and Interactive Storytelling Lab (ANTH0117)

Description

Module Content

This module is designed to provide students on the Human Evolution and Behaviour MSc course with proficiency in using and...

Research Methods in Evolutionary Anthropology (ANTH0114)

Description

Module Content

This module is designed to provide students on the Human Evolution and Behaviour MSc course with proficiency in using and interpreting statistics. Although the module requires students to have a background in reading and understanding quantitative research it requires no specific prior knowledge of statistics. Students will work with relevant data sets from biological anthropology and will gain core skills in using the open source computing software R.

Indicative Topics:

The module will cover the following topics, which may be subject to variation depending on developments in academic research and the interests of the class:

Basic coding in the R language Descriptive statistics
	Making inferences about a population from a sample T-tests
	Proportion tests
	Linear regression and correlation
Learning Outcomes

Having completed the module, students will be able to:

understand the conceptual basis of statistical inference and null-hypothesis testing;
	have a good level of proficiency in coding in the R statistical software; understand how to make statistical inferences about proportions;
	be able to check for the assumptions made by common statistical methods use t-tests, ANOVA, and their non-parametric equivalents
	understand and use linear regression models.
Module delivery

One 3 hour lecture per week.

 

 

Please note the assessment titles may be subject to change.

Anthropology|Biological Anthropology|Global Health|Medical Anthropology|Social Anthropology

Description

Module Content

This course will critically examine and engage with approaches, topics and themes related to a new and emerging field of Biosocial...