10. Understanding Simulation
In which we draw the course to a close by getting to grips with Agent Based Modelling…
Monday 3-6, Humanities Bridgeford Street 2.1-2.2
In which we draw the course to a close by getting to grips with Agent Based Modelling…
In which we learn how to use genetic algorithms to solve problems for which we don’t even know the solution! It’s practically magic….
In which you apply the skills that you have learned to reproduce an algorithm from the literature
In which we learn about Graph Theory, examine the Seven Bridges of Königsberg, and implement your own routing algorithm
In which we learn to determine whether or not something is visible, as well as speed up our raster processing by replacing geometry with simple graphics algorithms.
In which we get to grips with raster data, and reproduce a classic algorithm to model flood extents.
In which we further examine the impact of our projection choices upon the maps that we make.
In which you apply the skills that you have learned so far to start your climb out of the desert of despair!
In which we examine the coastline paradox, and discover that distance is even more confusing than we previously thought
In which we go even deeper into Python programming, and learn how to optimise our spatial queries using a spatial index
In which we expand our skills in Python, get to grips with topology and geodesy, and start to discover why building Donald Trump’s wall won’t be quite as easy as he thinks…
In which we are introduced to Python and Spyder, and make our first programmatic map with Python.