industry context|manufacturing principles and protocols|sustainability|environment|structure

An introduction to related theory for the programme is given that relates to the work being undertaken by design thesis tutors, and related work in the field...

Design for Manufacture: Contextual Theory (BARC0061)

An introduction to related theory for the programme is given that relates to the work being undertaken by design thesis tutors, and related work in the field including industry context. A historical background to manufacturing principles and protocols is also given. Different agendas that might drive the design of components and assemblies is discussed such as: differing industry standards, economic constraints, technical specifications and international trade.

This module questions conventional modernist historiography by exploring architectural encounters with modernity outside its dominant geographical, theoretical...

Multiple Modernities Architecture Part 1 (BARC0048)

This course provides an introduction to the main exploratory multivariate techniques in use in archaeology, namely cluster analysis, Principal Components...

Exploratory Data Analysis in Archaeology (ARCL0087)

This course provides an introduction to the main exploratory multivariate techniques in use in archaeology, namely cluster analysis, Principal Components Analysis (PCA), Correspondence Analysis (CA) and Discriminant Analysis. Extensions of these techniques, such as bootstrapped or detrended CA will also be explored. The course concentrates on the use of these techniques: what types of data they can examine, how to interpret the results, the pit-falls in the use of these techniques and so on. Wherever possible, the details of the underlying mathematics will not be examined in any detail.

Aims of the course

A knowledge of the main multivariate statistical techniques used in archaeology.
 Practical experience of undertaking these analyses using the R statistical system.
 The relative strengths and weaknesses of the various techniques
Objectives of the Course 

Choose and apply the appropriate techniques for various data sets and questions you may encounter.
 Be able to interpret the results of your analyses and identify potential problems.
 Report on your analyses in a appropriate manner.
Teaching Methods

Teaching will be by a mixture of lectures and supervised practical sessions. Classes will consist of two hours per week. Practical classes will normally involve direct supervision for one hour, often followed by a further hour during which time the tutor will be available to help as you work through exercises on your own.

You will also be given data sets to examine during the week between classes which will then be discussed at the start of the following week allowing you to gain practical experience in analysis and interpretation.

This course is assessed by means of a total of 4000 words of coursework consisting of a single data analysis project. You will be expected to identify a suitable data set with associated problems.

https://www.ucl.ac.uk/archaeology/study/graduate-taught/courses/exploratory-data-analysis-archaeology