Statistics for Heritage Science (BENV0139)

Key information

Faculty: Faculty of the Built Environment
Teaching department: Bartlett School of Environment, Energy and Resources
Credit value: 15

Restrictions: This module is compulsory for students taking MSc Sustainable Heritage (Data Science). Limited spaces for Masters level students from programmes other than MSc Sustainable Heritage. Limited space for auditing PhD students (subject to module lead approval).
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module introduces fundamental statistics concepts. It is taught using examples and case studies relevant to cultural heritage, but it provides data analysis skills that are transferable to any other field. The module welcomes students with any background. By design, it can be followed with little pre-existing knowledge of statistics.

The module prepares you for the further study of statistical data science. It begins with a review of data typologies and finishes with multivariate regression. In between, you will learn probability, statistical distributions, the fundamentals of inference and linear regression. The module also helps you develop two skills: programming and linear algebra. It is taught using the statistical package 鈥淩鈥�, with exercises that increase gradually in complexity. It also includes introductory lectures on mathematical notation and algebra.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study: In person
Methods of assessment: 100% Fixed-time remote activity
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 24
Module leader: Dr Josep Grau-bove
Who to contact for more information: bseer-studentqueries@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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