| Unit name | Urban Analytics and City Science |
|---|---|
| Unit code | GEOGM0055 |
| Credit points | 20 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Professor. Tranos |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
None |
| Units you must take alongside this one (co-requisite units) |
None |
| Units you may not take alongside this one |
None |
| School/department | School of Geographical Sciences |
| Faculty | Faculty of Science |
This unit will introduce students to the research fields of Urban Analytics and City Science. It will enable them to utilise cutting-edge methods from these fields and pair them with new sources of data to answer urging research questions about cities. Moreover, the students will develop a critical understanding about these tools and data as well as their applicability and value for urban research, planning and urban policy making. Emphasis will be placed on the interactions between digital technologies and urban space and the smart city agenda. Prior experience in using R is required.
The unit aims to:
Upon successful completion of this unit, students will:
1. Be able to creatively utilise cutting edge methods from Urban Analytics and Urban Science in order to answer urban research questions.
2. Be able to critically assess the value of and utilise new sources of big data for urban research.
3. Identify key concepts and theories of digital transformations and smart cities.
4. Present the results of statistical analysis in a clear, cogent manner, using effective visualizations, tables, and written argument.
10 two-hour computer-lab based lectures (mixture of computer practicals and lectures)
Formative: Throughout the course the students will receive formative feedback on code development during the unit seminars.
Summative: One 3500-word report (100% of the unit mark) for an urban data analysis project. The report will be written in a reproducible manner and will include the necessary code for the data analysis and the outputs (e.g. an Rmarkddown document).
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. GEOGM0055).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the Faculty workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an
assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
