CASA0007 Quantitative Methods
Postgraduate course, UCL, Centre for Advanced Spatial Analysis, 2024
The Quantitative Methods (QM) module (CASA0007) is part of the CASA’s MSc degree.
This module is designed to demonstrate the integral part that quantitative methods play in research. Students will be introduced to a range of quantitative approaches from the fields of statistics, modelling and data analysis, to serve as tools in their other disciplines. Throughout the course, the focus will be firmly on building conceptual understanding, rather than detailed mathematical manipulation.
I have been teaching this module since 2020.
Lecturer: Dr Huanfa Chen (that is me), Porf Hannah Fry
UCL Moodle link (requiring UCL login)
Outline
| Week | Session |
|---|---|
| 1 | Introduction to Quantitative Problems |
| 2 | Approaching and communicating Data |
| 3 | Measuring Relationships (correlation and regression) |
| 4 | Hypothesis Testing |
| 5 | Advanced Regression (multiple regression, variable selection, logistic regression) |
| READING WEEK | |
| 6 | Optimising Limited Resources (Linear Programming) |
| 7 | Clustering Analysis (kmeans, hierarchical clustering) |
| 8 | Modelling the World (agent-based simulation) |
| 9 | Advanced topics (data visualisation, selecting references) |
Assessments
Group work and presentation (30%)
Written investigation (70%)
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