python-war-on-zombies

A basic epidemiology analysis assignment to calculate the spread of a viral pandemic, including vaccination policies and zombies waking from the dead.

Coded in the 1st semester of college, as part of the INF1100 (today IN1900) course at the University of Oslo.

These are all either book exercises or mandatory assignments for that course. The book exercises can be found in "A Primer on Scientific Programming with Python, 3rd Edition" by H.P. Langtangen. Other versions of the book will likely also work, but I can not guarantee the exercise numbers will match up.

Files:

• ODESolver.py is a framework for solving (Ordinary Differential Equations), with manually written implementations of popular ODE solving algorithms like RungeKutta4, Forward Euler and Backward Euler. It also imports a method that implements Newton's Method for ODE solving.
• SIR.py and SIR_class.py: Exercises E.35 and E.36, where the latter is making the former solution more flexible by creating a class to solve the problem.
• SIRV.py: Exercise E.37: builds on SIR.py, by adding vaccination.
• SIRV_varying_p.py: Exercise E.38: alternative to SIRV.py, by implementing a vaccination campaign.
• SIRV_optimal_duration.py: Exercise E.39: builds on SIRV_varying_p.py by looking for the optimal vaccination intensity, start point and duration.
• SIZR.py: Exercise E.40: introduces Zombies to the SIR problem, where infected that die go on to become zombies.
• Night_of_the_Living_Dead.py: Exercise E.41, modelling the entire movie "Night of the Living Dead", by extending the SIZR problem.
• test.py has test functions for most of these assignments.