Assignment 3 - Freight Transport Logistics Analytics
(Assignment due on 17/12)
In this assignment, you will continue to practice your mathematical model building and develop your skills to solve logistics problem while using geographical data.
The assignment is designed to be tackled by a group of 4-5 students. Even though the various tasks are largely interdependent, they have been selected in a way that would allow your teams to commence work in them in parallel.
The marking scheme for this assignment will be awarded as follows:
- 90%: for answers that are correct and supported by a well-written/presented report.
- 10%: through peer assessment of contribution and effort (within each group).
The assignment is due on the 17th of December.
Additional Guide on how to use GIS data in Python (html)
Additional Guide on how to use GIS data in Python (ipynb and data)
Instructions for the submission of the report, codes and peer-assessment questionnaires will be posted here, in due course.