2024/25 Taught Postgraduate Module Catalogue

TRAN5032M Transport Data Collection and Analysis

15 creditsClass Size: 250

Module manager: Dr Chiara Calastri
Email: C.Calastri@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2024/25

Module replaces

TRAN5031M

This module is not approved as an Elective

Module summary

This module provides fundamentals of data collection and analysis in the context of transport. It addresses the loop covering research questions, data requirements, data collection/generation, data analysis, and interpretation.

Objectives

To ensure that students understand the quality of different data and data collection techniques and can discuss their strengths and weaknesses. To develop student's ability to design transport data collection activities. To ensure that students understand the needs for data generation and approaches to collecting a range of transport data, and are able to justify techniques appropriate for given research requirements. To ensure that students understand the principles underlying the statistical analysis of transport data and are equipped to select appropriate statistical techniques and associated interpretation of results. To develop students' ability to interpret the result of statistical analyses and draw meaningful conclusions.

Learning outcomes
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1. Evaluate the link between research needs and data requirements and collection
2. Discuss the principles underlying statistical analysis, apply these on data, and interpret their results
3. Discuss and recommend data collection techniques relevant to transport issues
4. Apply data acquisition skills
5. Apply data handling, statistical and analytical skills
6. Apply data presentation and reporting skills

Skills Learning Outcomes

On successful completion of the module students will have demonstrated the following skills learning outcomes:
1. Critical thinking
2. Problem-solving
3. Analytical thinking

Syllabus

Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module

Teaching methods

Delivery type	Number	Length hours	Student hours
Fieldwork	1	8.00	8.00
Lecture	7	2.00	14.00
Lecture	11	1.00	11.00
Practical	5	1.00	20.00
Seminar	1	1.00	1.00
Seminar	2	2.00	4.00
Private study hours			92.00
Total Contact hours			58.00
Total hours (100hr per 10 credits)			150.00

Opportunities for Formative Feedback

Students learning progress will be monitored by the coursework process. Students will be fully supported during the process of completing their coursework via a variety of channels including physical discussions as well as virtual environment (e.g. VLE)

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Assignment	Coursework	50.00
Assignment	OTLA	50.00
Total percentage (Assessment Coursework)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

There is no reading list for this module

Last updated: 19/03/2024

Disclaimer

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• Undergraduate module catalogue
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