Yang Xu: Teaching

Fall 2018/2019/2020/2021/2022

COG 260: Data, Computation and The Mind [mini lectures]

Spring 2020/2021/2023

COG 403: Seminar in Cognitive Science

Spring 2018/2019/2020/2021; Fall 2022

CSC 2611 (2604): Computational Models of Semantic Change

Courses previously taught at UC Berkeley (2015-17)

COGSCI 190: Data Science and Cognition [sample syllabus]
COGSCI 88: Data Science and The Mind [sample syllabus]

Open course resources

Notes that summarize some basic computational ideas:

Probability theory: [pdf1] [pdf2]
Information theory: [pdf]
Statistical inference: [pdf]

A Python Jupyter notebook for exploring the World Color Survey or WCS (Kay, Berlin, Maffi, Merrifield, & Cook, 2009; cf. Berlin & Kay, 1969) - a well-studied cross-linguistic dataset that probes the relations of human languages and cognition:

WCS analysis: [demo notebook]

A Python Jupyter notebook for exploring the CLICS (Rzymski, et al. 2019; cf. Brochhagen & Boleda, 2022) - a cross-linguistic dataset of colexification (or word-meaning mappings):

CLICS analysis: [demo notebook]

A brief tutorial on scripting with Python (Jupyter notebook):

Credit to Jessie Salas: [pdf]