This module aims to provide an overview of the different kinds of data used in archaeomaterials research and the ways in which they are processed, analysed, and presented. Topics include descriptive statistics, inferential methods, and data mining.

The assumptions and the limits of these methods will be highlighted to avoid the common misuses. Lectures will focus on the concepts behind the methods, practical applications, and case studies rather than the theoretical background.

The practical exercises using widely recognised software will introduce the students to the computing process and provide them an understanding of the basic functions of the software. This core knowledge would give students the necessary basis to delve into more specific applications in relation with their personal work

 

At a glance

  • Dates
    • Please enquire for course dates
  • Duration5 days
  • LocationCranfield campus
  • Cost£TBC

Course structure

Lectures and practical exercises

What you will learn

On successful completion of the course you will be able to:

  • Distinguish and categorise the different types of data generated by archaeomaterial studies. and propose a protocol to process them.
  • Evaluate which tool is the best suited to process data based on his/her understanding of the principles and the aims of the main statistic methods.
  • Design and create maps that effectively display data with a spatial component.
  • Create an efficient data analysis workflow to process a dataset by selecting complementary methods.
  • Analyse archaeomaterials data using the basic functions of the studied software to generate comprehensive results and publishable figures.

Core content

  • The sources of data for archaeomaterial studies
  • Identification of the data categories
  • Descriptive statistics
  • Inferential and model-based statistic
  • Univariate and multivariate exploratory analysis
  • Data analysis workflow
  • Spatial analysis and visualisation

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