## Q520 - Math and Logic for Cognitive Science

This course provides math background for students of Cognitive
Science, Artificial Intelligence, and related fields.
The specific math topics studied include probability, linear
algebra, and logic. The course presents them in the at
the same time that it introduces widely-used tools such as Bayesian
networks, simple neural networks, Markov models, logic as a
representation language, latent semantic analysis, etc.

The choice of mathematical topics is based on the application areas.
The course is unusual because one will learn a lot of mathematics,
but in less depth than one would see in classes devoted to the math
alone.
Goals for the course are to
give students a good knowledge of a few topics of importance to
current cognitive science, and also the tools to learn the
mathematics behind the tools that they will need in their own
research.