Aims

The aims of this module are:
1.       To provide an understanding of the statistical background needed to analyse transport data and models output
2.       To provide an understanding of the key modelling tools used to study transport problems
3.       To enable students to develop a working knowledge of relevant software.
4.       To enable students to use these statistical tools and models to approach the transport problems studied in the transport modules in various Master programs.

Outline Of Syllabus

Basic descriptive and inferential statistics; linear and non-linear regression; data reduction techniques (e.g. factor and cluster analysis); basic concepts of constrained and unconstrained optimisation; introduction to programming; Big Data analysis and machine learning techniques.

Teaching Rationale And Relationship

Teaching and learning of this module is through a combination of lectures, computer demonstrations and practical work, coursework and reading materials. This is in line with the learning outcomes. Lectures and coursework are intended to provide the theoretical background, computer demonstrations and practical work allow students to learn how to link the theory with the practice and help develop problem solving skills. Reading materials helps developing critical, independent and innovative thinking.

For each topic taught in this module a clear link will be made with the specific transport problems that can be solved and the specific modules where that transport problem is discussed.

Assessment Rationale And Relationship

This module is assessed by examination ONLY. This format allows a student’s knowledge and understanding of numerical and research methods to be quantified. Transport Research Method is a core module providing the students with the fundamentals of statistical, econometric, programming procedures essential in ensuring academic rigour is preserved in the design and execution of research and applied transport projects. The module will provide the fundamental background to understand the theories and methods thoughts in the modules within the MSc Transport program, and to apply then these theories and methods in the MSc dissertations first and their future work.