Objective
This course overviews fundamental topics in mobility modelling and urban dynamics from a modern perspective. The course's main objective is to use data to understand how, when, where, and eventually why people move. By analysing mobility's short-term and long-term impacts on the environment and society, we focus on transitioning from the traditional vehicle-centric vision in transportation and mobility modelling to a human-centric one. By the end of this course, you will have a big-picture view and a conceptual understanding of different models. You learn technical skills to use data for formulating various transportation and mobility problems and the practical knowledge needed to interpret them. Furthermore, you will be able to evaluate and analyse the model results quantitatively.
This course requires previous experience with Python programming language. Check Tutorial 0 to make sure you have the necessary background for this course.
Course Schedule
- Lectures
- Monday 14.15 - 16.00, Delta 1008
- Lecturers:
- Amnir Hadachi (hadachi@ut.ee)
- Artjom Lind (Artjom.lind@ut.ee)
- Office hours: Please make an appointment by email.
- Lab sessions
- Individual work on tutorials.
- NB! There are no weekly lab sessions, but you are free to visit Helen during her office hours or make an appointment via email.
- Lab assistant:
- Helen Tera (helen.tera@ut.ee)
- Office hours: Thursday 14.15 - 16.00, Delta 3043
Grading Policy
- Final grade = Assignments (50%) + Project (50%).
Literature
The course covers selected topics from the following books. In addition, during the semester, relevant research papers will be added to the list.