Module manager: Vikki Houlden
Email: v.houlden@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
This module is not approved as an Elective
The Project will take the place of the traditional dissertation. The Project submission will incorporate a data science output, in the form of a ‘notebook’-style analysis, and an associated written report, which outlines prior work and context, the analysis process, the results, and associated policy or practical implications. We encourage students to organise co-supervision between academics in urban analytics (Geography, LIDA), Maths, and Computing, and support opportunities to work with industrial partners.
This module draws together all of the skills and knowledge gained throughout the year. This large project will see students become a more independent researchers and analysts, presenting their results in a practical format to provide societal impact and applications. They will build collaborations with multiple supervisors and industrial partners to tackle contemporary challenges. They will produce a research proposal and develop accessible outcomes in code notebooks and written reports for various real-world audiences.
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1. Integrate the technical and subjective-specific knowledge gained throughout previous modules to deliver a solution to a chosen data science challenge
2. Develop a data science notebook output documenting data, approach and findings
3. Present and narrate the contextual findings in an accessible practical report for diverse audiences
Skills Learning Outcomes
On successful completion of the module students will have demonstrated the following skills learning outcomes:
1. Collaborate with multidisciplinary partners to study a real urban challenge
2. Work independently, with the support of their supervisors and partners, to lead their own research project
3. Demonstrate good project management, planning, research and communication skills
4. Develop proficiency in communicating technical and scientific information to lay audiences
Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Supervision | 5 | 0.5 | 2.5 |
| Lectures | 1 | 2 | 2 |
| seminars | 1 | 0.5 | 0.5 |
| Practicals | 1 | 2 | 2 |
| Private study hours | 593 | ||
| Total Contact hours | 7 | ||
| Total hours (100hr per 10 credits) | 600 | ||
Formative feedback available during supervisor meetings and optional project drop-in sessions. Feedback will be returned with the Project Proposal forms, which will be submitted to assist with matching students and supervisors, while ensuring appropriate project scope. Students will also submit an interim poster to demonstrate their progress and obtain (research rationale, literature summary and research design) formative feedback during the Poster Showcase as well as from supervisors.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Assignment | Coursework | 50 |
| Assignment | Coursework | 50 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 4/29/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team