Module Code | STP80021 |
Module Name | |
ECTS Weighting [1] | 5 ECTS |
Semester Taught | Semester 2 |
Module Coordinator/s | Dr. Bahman Honari |
Module Learning Outcomes
On successful completion of this module, students will be able to:
- Identify questions of interest across a broad range of sustainability topics, and determine how data can be used to address the questions.
- Identify appropriate statistical techniques or models to gain information from data in a variety of contexts.
- Apply statistical techniques and models to datasets (using statistical software as appropriate) and translate the outcomes to valuable knowledge in sustainability.
- Communicate the results from data analyses in the context of the data source via writing and oral presentations.
- Reflect on successes, challenges, and limitations of using data and statistics to advance sustainability knowledge.
Module Content
In this module, students will combine their statistical and sustainability knowledge to work on multiple group projects over the course of the semester. Students will be assembled in small groups for each of three projects (with groups mixing up each time). At the beginning of each project, students will be introduced to a sustainability topic and data for their group (or what data collection will be required), and they will identify the sustainability questions to be addressed using the data. Over the course of 2- 3 weeks, they will work in groups analyzing the data and reporting on the results. At the end of each project block, the findings from each group will be presented to the class. The topics studied will rotate each year the module is delivered.
Teaching and Learning Methods
- F2F delivery
Assessment Details
MAC1: Group project 1 report and presentation; weighting 30%
MAC2: Group project 2 report and presentation; weighting 30%
MAC3: Group project 3 report and presentation; weighting 30%
MAC4: Individual reflection journal from all projects; weighting 10%
Reassessment Details
Similar to the Assessment in above.
Contact Hours and Indicative Student Workload
Contact Hours (scheduled hours per student over full module), broken down by: | hours |
Lecture (including student presentation) | 22 hours |
Tutorial (where students will work in groups under guidance) | 22 hours |
Independent study (outside scheduled contact hours), broken down by: | 44 hours |
Preparation for classes and review of material (including preparation for examination, if applicable) | 22 hours |
Completion of assessments (including examination, if applicable) | 22 hours |
Total Hours | 88 hours |
Recommended Reading List
Advanced Intelligent Predictive Models for Urban Transportation
Air Pollution Sources, Statistics and Health Effects
Big Data Science and Analytics for Smart Sustainable Urbanis
Data, Statistics, and Useful Numbers for Environmental Sustainability
Higher Education and the Challenge of Sustainability
Infectious Diseases – Selected Entries from the Encyclopedia of Sustainability
Mathematics for Sustainability
Module Pre-requisites
Prerequisite modules: N/A
Module Co-requisites
N/A