Research in Cognitive Science and Artificial Intelligence (AI) is driven by data. Researchers in these fields collect, manipulate, model and analyze data generated by real-world processes. Since the amount of data available has grown exponentially, the ability to automate these tasks through computer programs is essential. Specifically, probabilistic and statistical computing are needed to learn from the data. The objectives of this course are for the student to perform exploratory data analysis and to acquire the basics of statistical and machine learning in order to model real-world datasets.
Spring | Summer | Fall | ||
---|---|---|---|---|
(Session 1) | (Session 2) | |||
2025 | ||||
2024 | ||||
2023 | ||||
2022 | ||||
2021 | ||||
2020 | ||||
2019 | ||||
2018 | ||||
2017 | ||||
2016 | ||||
2015 | ||||
2014 | ||||
2013 | ||||
2012 | ||||
2011 | ||||
2010 | ||||
2009 | ||||
2008 | ||||
2007 | ||||
2006 | ||||
2005 | ||||
2004 | ||||
2003 | ||||
2002 | ||||
2001 | ||||
2000 | ||||
1999 | ||||
1998 |