Transport Data Analysis and Techniques

Learning Outcomes

Transferable and Generic Skills

Having successfully completed this module you will be able to:

• Use creativity and innovation in problem solving
• Manage and organise time
• Learn and study/research independently
• Report your work effectively

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• Use statistical software to analyse transportation related datasets

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Formulate appropriate statistical models and test statistical hypotheses
• Interpret, summarise and report transportation data using appropriate statistical descriptors
• Identify and apply appropriate analysis methods for transportation data
• Evaluate transportation proposals/schemes with statistical rigour

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• Appropriate methods and techniques for statistical data analysis
• The statistical characteristics of transportation related datasets

Exploratory Data Analysis & survey design

Probability and Distributions

Hypothesis Testing

Regression

Discrete choice modelling

In person and online recorded lectures introduce the theory and techniques

Computer practical sessions introduce statistical software

Tutorial sessions are available throughout the module for any students wanting additional support

Practical coursework enables students to follow the whole process through from initial question to formal analysis and report presentation

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.