STP80021 – Statistics and Sustainability Group Projects

Module CodeSTP80021
Module Name Statistics and Sustainability Group Projects
ECTS Weighting [1]5 ECTS
Semester TaughtSemester 2
Module Coordinator/s  Professor Caroline Brophy

Module Learning Outcomes

On successful completion of this module, students will be able to:

  1. Identify questions of interest across a broad range of sustainability topics, and determine how data can be used to address the questions.
  2. Identify appropriate statistical techniques or models to gain information from data in a variety of contexts.
  3. Apply statistical techniques and models to datasets (using statistical software as appropriate) and translate the outcomes to valuable knowledge in sustainability.
  4. Communicate the results from data analyses in the context of the data source via writing and oral presentations.
  5. 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 two separate group projects over the course of the semester. For each project, students will be assigned into groups and will work on a data-based sustainability topic. During classes, students will work in their groups and deliver updates and presentations. A written report will also be prepared for each project by the group members.

Teaching and Learning Methods

  • Face-to-face delivery. Attendance at all lectures is mandatory.

Assessment Details

Group project 1, weighting 45%

Group project 2, weighting 45%

Individual reflection diaries, weighting 10%

Reassessment Details

Additional project(s) assigned, 100%.

Contact Hours and Indicative Student Workload

Contact Hours (scheduled hours per student over full module), broken down by:Hours
Lecture (including student presentation and active in-class group work)22 hours
Independent study (outside scheduled contact hours), broken down by:103 hours
Preparation and analysis of data, including background reading material as required42 hours
Preparation of written reports30 hours
Preparation for presentations20 hours
Preparation of individual reflection journals11 hours
Total Hours125 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

Module Website

Blackboard