The major project of my final year was for my dissertation. I chose to research the effectiveness of dynamic learning algorithms in providing an adaptive, real-time finite state machine in a game environment. After doing a literature review to get up to speed on Bayesian networks, artificial neural networks and genetic algorithms, I chose to focus my research on the latter. I felt genetic algorithms could offer a working solution, and I was interested in programming one and seeing for myself exactly how it would work.
One of our modules in third year was focussed on exploring agile development techniques, culminating in a group project that we managed in an agile fashion, using scrum. We had to treat our tutors like clients, asking them about what they wanted from the solution, creating user stories from these requirements and turning them into backlog items. The project itself was to create a Collada model importer for XNA, able to import the model’s skeleton, mesh, skinning and animation data, packaged with an app to view these models and outputting complete logs of the importing process.