Graduate Courses

Course Fall Winter Spring Summer 1 Summer 2
Cognitive Science Seminar
This seminar emphasizes the conceptual basis of cognitive science, including representation, processing mechanisms, language, and the role of interaction among individuals, culture, and the environment. Current developments in each field are considered as they relate to issues in cognitive science. (May be repeated for credit.)
STAFF STAFF STAFF
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.
STAFF
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 CHIBA
KUTAS
KUTA
KUTAS
SAYGIN
KLEMMER STAFF
KLEMMER
GUO
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
Ethics and Survival Skills in Academia
(Same as Neurosciences 241) This course will cover ethical issues that arise in academia, including: dishonesty, plagiarism, attribution, sexual misconduct, etc. We will also discuss ‘survival’ issues, including job hunting, grant preparation, journal reviews, writing letters of recommendation, mentoring, etc. S/U only.
KALICHMAN
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
NUNEZ
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
DEAK DE SA DOW
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
SAYGIN TU
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
YU ROSSANO
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
CREEL RANGEL
Seminar on Special Topics
Specific topics in cognitive science are discussed. (May be repeated when topics vary.)
FRANK BORODITSKY
JERNIGAN
VOYTEK