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Last modified: 24 Jun 2020 14:40

Course Overview

In this course, students will receive an introduction to research skills needed in the Intelligent Mobility (IM) environment. Students will receive training in both qualitative and quantitative methods, including evidence reviews, statistical and network analysis, survey methods, interviews, and focus groups. These skills will be taught in the context of an IM project, with individual components coming together in a detailed project plan.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
  • Dr Caitlin Doyle Cottrill

What courses & programmes must have been taken before this course?

  • Master Of Science In Transport And Intelligent Mobility
  • Any Postgraduate Programme

What other courses must be taken with this course?


What courses cannot be taken with this course?


Are there a limited number of places available?


Course Description

The IM environment requires the application of a range of research methods, including both qualitative and quantitative applications. While transport and IM are often most closely associated with quantitative methods focused on data collection and analysis, understanding the context of project implementation through evidence reviews, policy analysis, and interaction with local stakeholders and members of the public via interviews and focus groups are also necessary components of the planning and implementation process.

In this course, students will undertake a project-based exploration of research methods in preparation for their dissertation work, as well as to prepare them for work in a practitioner context.  They will be introduced to a fictional but plausible IM project, and guided through the research methods associated with its development, including evidence reviews for scene-setting and identification of alternatives; data collection, analysis, and management processes for project selection; and qualitative methods for association with local, regional, or national priorities. Given the IM focus, they will be introduced to working with data collected via a range of methods, including traditional survey methods, acquisition of secondary data, and more novel methods such as through social media avenues.

It is anticipated that the work undertaken in this class will provide students with the research skills necessary to carry out IM projects, as well as familiarise them with emerging methodologies relevant to the IM context.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 1 Tutorial during University weeks 25 - 30, 32 - 34, 38 - 39

More Information about Week Numbers

In light of Covid-19 and the move to blended learning delivery the assessment information advertised for courses may be subject to change. All updates for first-half session courses will be actioned no later than 1700 (GMT) on 18 September 2020. All updates for second half-session courses will be actioned in advance of second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

Presentation (20%)

Exam (30%)

Coursework (50%)



Re-sit of only the failed assessment component(s)

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ConceptualUnderstandTo understand the research skills necessary for undertaking IM projects.
ConceptualUnderstandTo understand appropriate research methods to utilise in different steps of the IM project planning process.
ProceduralApplyTo apply appropriate research methods within an IM planning context.
ProceduralCreateTo create an appropriate research plan for an IM project.
ReflectionEvaluateTo evaluate the success of an IM research plan.

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