Data Collection and Processing|Information and Data Science|Spatial Data Acquisition

ADVANCED ANALYSIS|SPATIAL DATASETS|DATABASES|SQL|VALIDATE DATA|DATA PROCESSING|SPATIAL ANALYSI

The purpose of this module is to provide students with critical skills required for the treatment and advanced analysis of spatial datasets. During the first...

Data Science for Spatial Systems (CASA0006)

The purpose of this module is to provide students with critical skills required for the treatment and advanced analysis of spatial datasets. During the first part of the course, database concepts and techniques are introduced, providing the students with the skills required for manipulating databases. SQL syntax will be taught in depth at this stage, with a strong emphasis on practical applications. The second phase of the course moves towards covering the practical skills required in spatial data handling and analysis. Students will learn how to manage and validate raw, unprocessed data, and derive deeper meaning from raw data. Methods for the advanced analysis and mining of datasets will be explored in some detail, with applications in spatial research. Contents covered include: SQL, database, clustering, regression, classification, dimension reduction, unstructured data, applied machine learning. Prerequisites of this module include basic Python programming and a conceptual understanding of linear regression models.

This module provide you with an opportunity for in-depth reading, reflection and critical discussion around key urban design and city planning themes and...

Critical Debates in Urban Design (BPLN0032)

This module provide you with an opportunity for in-depth reading, reflection and critical discussion around key urban design and city planning themes and debates.

At the end of the module you should have developed:

• Knowledge of current literature on key issues in Urban Design and its context within City Planning;

• Critical thinking towards established theoretical and empirical arguments;

• Ability to understand, summarise and discuss key points of a complex argument;

• Research, analytical and writing skills necessary to explore academic sources of information and undertake critical and well-informed reviews of the literature on urban design topics.

This module is taught through a combination of small group debates, occasional lectures, and tutorials.