Undergraduate Courses

Course Course Information Instructor
COGS 3
An Introduction to Computing
MW 11:00-13:50 in CSB 115  
Description: A practical introduction to computers. Designed for undergraduates in the social sciences. Topics include: basic operations of personal computers (MAC, PC), UNIX, word processing, e-mail, spreadsheets, and creating web pages using the World Wide Web. No previous background in computing required.
Kraus, Timothy B
COGS 14
Design & Analysis of Expermnts
TR 14:00-16:50 in CENTR 113 (website)  
COGS 101A
Sensation and Perception
TR 11:00-13:50 in CSB 001 (website)  
Description: An introduction to the experimental study of cognition with a focus on sensation and perception. Prerequisites: Cognitive Science 1.
COGS 151
Analogy and Conceptual Systems
MW 11:00-13:50 in SOLIS 110  
COGS 160
Seminar on Special Topics: Creativity in Ethnography
TR 14:00-16:50 in SSB 106 (website)  
Description: How can we do ethnography in artistic environments? Dance rehearsals are fuzzy and apparently messy social settings. Given the complexity of social interaction, a reflexive and structured methodology makes a difference in getting valid results. This course is a practicum in ethnography for developing a methodology for dance cognition & creativity. At a theoretical level, we will be covering modern topics in Cognitive Science, such as body skill, physical thinking and multimodal instruction. At a practical level, students will go through the methodological steps of a real ethnography of dance. We will provide access to the ICL unique video archive we collected in the making of Dyad1909 (2009) and FAR (2010), which premièred in London, at the Sadlers Wells Theater. We will dwell on the specific do’s and dont’s of using the digital camera for data gathering, and the implications of using visual analysis software. In all, this class is a hands-on experience for students who are interested in qualitative research of professional teams. We provide the students with skills for observation, interviewing, transcription, and coding in an artistic field.
Muntanyola Saura, Dafne
COGS 188
Representation,Search&the Web
MW 14:00-16:50 in WLH 2209 (website)  
Description: Artificial Intelligence Algorithms for Web 2.0 (Social Networking) This class will cover latest machine learning and text analysis algorithm. The focus will be placed on their use on the data generated by Web 2.0 (social networking) sites. We will explore some ways of modeling text data and principles of natural language processing. Some topics that may be covered are as follows: (1) Text Clustering (2) Network Analysis (3) Topic Models (4) Text Classification (5) Sentiment Analysis (6) Etc.

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