The course is a basic introduction to machine learning, including:

• Supervised learning (mainly, classification)
• Unsupervised learning (such as clustering)
• Bayesian methods

The course will include both theory and applied machine learning,
and a special emphasis will be put on machine learning algorithms.

See here for a complete list of topics:

http://ml-tau-2014.wikidot.com/course-schedule

Self inclusion/exclusion: The excercises will be done in Matlab; The course has large parts that are mathematical in nature.