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Quantitative Methods (CASA0007)

Key information

Faculty
Faculty of the Built Environment
Teaching department
Centre for Advanced Spatial Analysis
Credit value
15
Restrictions
N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This Master's level module introduces students to a range of statistical and mathematical tools for analysing and interpreting data. The module also focuses on key skills, such as communicating data, writing technical reports, and approaching quantitative problems. Applications and examples concentrate on the field of cities research. Explanations are intended to develop conceptual understanding rather than technical mathematical frameworks. Little to no prior knowledge is assumed. This module is of most relevance to students from the social sciences or the field of cities research specifically who wish to develop their quantitative skills. It is not appropriate for students from outside the Centre for Advanced Spatial Analysis who already have significant technical training (e.g. a background in mathematics or the natural sciences). Python programming will be used in this module. If students do not have experience in Python, they are strongly recommended to take CASA0013 in Term 1. Content covered includes: Linear Regression, Hypothesis Testing, Clustering, Linear Programming, Spatial Optimisation, Statistical Fallacies, Systems Dynamics Models.听.听

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
70% Coursework
30% Group activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
134
Module leader
Dr Huanfa Chen
Who to contact for more information
casa-teaching@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed timed assessments and in-class activity will be confirmed by the teaching department for the module.

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