The 2025 Applied Mathematics Research School
University of Malawi Welcomes Us!
The research training workshop will be led by two internationally recognised applied mathematicians with extensive experience of developing mathematical models for problems in the life, health and social sciences. Participants will be taught a range of techniques required to build and analyse such models, and this will be done using case studies from the SADC region. The Research School will be hosted at UNIMA in January 2025.
Day 1: Welcome and introduction to mathematical modelling
| Time |
Session |
Details |
| 8:30 AM – 9:00 AM |
Registration |
|
| 9:00 AM – 9:45 AM |
Opening Ceremony |
- Official welcome of guests to UNIMA
- Group photo
|
| 10:30 AM – 10:45 AM |
Coffee Break |
|
| 10:45 AM – 12:15 PM |
Introduction to mathematical modelling 1 |
- Mathematical modelling Theory
|
| 12:15 PM – 1:15 PM |
Lunch Break |
|
| 1:15 PM – 2:45 PM |
Introduction to mathematical modelling II |
- Mathematical modelling theory and applications
|
| 2:45 PM – 3:00 PM |
Coffee Break |
|
| 3:00 PM – 4:30 PM |
Model analysis I |
|
Day 2: Python Programming, R, and the Modelling Process
| Time |
Session |
Details |
| 8:30 AM – 10:00 AM |
Introduction to Python for mathematical modelling (Dr. Chidzalo) |
- Solving ODE Systems in Python
- Fitting Models in Python
|
| 10:00 AM – 10:30 AM |
Coffee Break |
|
| 10:30 AM – 12:15 PM |
Introduction to Mathematica (Prof. Nyabadza) |
- Solving ODE Systems in Mathematica
- Fitting Models in Mathematica
|
| 12:15 PM – 1:15 PM |
Lunch Break |
|
| 1:15 PM – 2:45 PM |
System of ODE with in MATLAB (Dr. Soko) |
- Identifying and working with model data
|
| 2:45 PM – 3:00 PM |
Coffee Break |
|
| 3:00 PM – 4:30 PM |
Stochastic modelling (Dr. Milliward) |
|
| 4:30 PM – 5:00 PM |
Wrap-up and Q&A Session |
|
Days 3 to 10: Group Projects and Presentations
| Time |
Activity |
Details |
| 8:30 AM – 10:00 AM |
Expert Topic presentation |
- A topic is presented daily in this time slot.
|
| 9:00 AM – 12:15 PM |
Group Project Work |
- Participants work in groups on research projects.
- Model development, data analysis, and parameter estimation.
- Instructors available for assistance and guidance.
|
| 12:15 PM – 1:15 PM |
Lunch Break |
|
| 1:15 PM – 4:30 PM |
Continued Group Work |
Teams continue working on their projects, preparing final reports and presentations. |
| 2:45 PM – 3:00 PM |
Coffee Break |
|
| 3:00 PM – 4:30 PM |
Group Presentations |
- Each group presents their findings to the class.
- Discussions on model assumptions, results, and future research directions.
|