Graduate Courses

Course Fall Winter Spring Summer 1 Summer 2
NITZ
Cognitive Science Foundations: Computational Modeling of Cognition
This course surveys the development of symbolic and connectionist models of cognition. Selected readings from the late 1940s to the present are covered. Topics include: Turing machines, information theory, computational complexity, search, learning, symbolic artificial intelligence, and neural networks.
MUKAMEL
Cognitive Science Foundations: Theories and Methods in the Study of Cognitive Phenomena
Surveys a variety of theoretical and methodological approaches to the study of human cognition. Topics include language structure, language processing, concepts and categories, knowledge representation, analogy and metaphor, reasoning, planning and action, problem solving, learning and expertise, and emotion.
COULSON
Introduction to Thesis Research
This course is taken to focus the students’ development of a thesis topic and research proposal. Students prepare an outline of thesis proposal and make an oral public presentation of the proposed topic prior to the end of the third year. S/U only.
CHIBA
Introduction to Thesis Research
This course is taken to focus the students’ development of a thesis topic and research proposal. Students prepare an outline of thesis proposal and make an oral public presentation of the proposed topic prior to the end of the third year. S/U only.
CHIBA
SAYGIN
Information Visualization
This seminar surveys current research in information visualization with the goal of preparing students to do original research. The focus is on the cognitive aspects of information design, dynamic representations, and computational techniques. Topics vary each time course is offered.
HOLLAN
DOW
KLEMMER
KLEMMER
Topics in Cognitive Linguistics
(Same as Linguistics 238) Basic concepts, empirical findings, and recent developments in cognitive and functional linguistics. Language viewed dynamically in relation to conceptualization, discourse, meaning construction, and cognitive processing. (As topics vary, may be repeated for credit.)
BERGEN
Statistical Inference and Data Analysis
This course provides a rigorous treatment of hypothesis testing, statistical inference, model fitting, and exploratory data analysis techniques used in the cognitive and neural sciences. Students will acquire an understanding of mathematical foundations and hands-on experience in applying these methods using Matlab.
YU
NUĂ‘EZ
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
DOW
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
CREEL
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
JOHNSON
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
DE SA
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
NITZ
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
BORODITSKY
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
ROSSANO
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
SAYGIN
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
TU
PINEDA