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Tentative Course Offerings

These are tentative schedules. Classes and/or instructors may change or be canceled. Please consult the official Schedule of Classes on TritonLink each quarter.

Featured Courses

Cogs 260: Seminar on Special Topics - Winter 2021

COGS 260 (A00): Scientific Writing | Professor Anastasia Kiyonaga

This is a workshop and practical seminar for effective scientific writing. The course will address the fundamentals of getting words on the page, as well as techniques to make your writing stand out. The course is geared toward developing and revising a research writing project. Students should have a writing project in mind (e.g., journal article, thesis, or grant proposal in prep) and be willing to share drafts with classmates.

Class meets Mondays 11am-1:50pm online.


COGS 260 (D00):Probabilistic Machine Learning | Professor Marcelo G Mattar

This course is an introduction to Probabilistic Machine Learning. Topics include probability theory, regression and classification, graphical models, Expectation Maximization, appropriate inference, and sampling methods. The course will meet once a week and follow the textbook "Pattern Recognition and Machine Learning", by Christopher Bishop. Each week, 1-2 students will lead the discussion of one chapter of the book. Please contact Prof. Mattar at if you have questions.

Class meets every Thursday 2pm-4:50pm online.

Cogs 260: Seminar on Special Topics - Spring 2021

COGS 260 A00: Scientific Data Analysis and Statistical Learning | Professor Eran Mukamel

Advanced statistical methods for learning from data. Model selection, evaluation, bias-variance tradeoff, multiple comparisons/false discovery rate, clustering, linear and non-linear multiple regression. 
This course will meet the Stats requirement for CogSci PhD students.
The course will include hands-on problem sets using Python to analyze cognitive science and neuroscience-related datasets.
Questions? Contact Prof. Mukamel at 


COGS 260 B00: Infant Language Acquisition: Finding Structures in Social Settings | Professor Gedeon Deak

Infants' language learning can be seen as a product of neural learning mechanisms operating on event contingencies and sequences experienced within structured social environments. This seminar will survey recent work seeking to document the rich information structures in everyday family environments, and infants' process of learning these structures.

The main focus will be a recent wave of cognitive-ethnographic studies that leverage modern recording and coding methods as well as innovative data-analytic and modeling tools. Additional topics will include comparisons of infants' language environments across diverse cultural and linguistic communities, the development of neural substrates for predictive encoding, and ethnographic methods for everyday activities and settings.

Class meet Thurs 9 - 11:50 am [remote]


COGS 260 (C00): Collective Intelligence | Professor Steven Dow 

How can people and computers work together intelligently to solve complex problems? Collective intelligence is the study of how individuals coordinate, collaborate, and deliberate to produce outcomes greater than any single agent do can alone. In this course, students will explore different crowdsourcing platforms and mechanisms, read and discuss foundational papers in the field, attend the flagship CHI conference to (virtually) meet contemporary authors, and write a novel research proposal that could lead to publication.

Cogs 200: Cognitive Science Seminar - Fall 2021

COGS 200: Debates in Cognitive Science | Professor Ben Bergen

Each week will feature a debate between two experts on a topic in cognitive science.

Cogs 260: Seminar on Special Topics - Fall 2021

COGS 260 (A00): The 4E’s plus: Embodied, Enactive, Embedded and Extended... | Professor David Kirsh

This course is an exploration of recent rebellions against a classical view of mind that still, in many respects, dominates cognitive science.  The lectures start with a sympathetic statement of the classical view as advanced by Marr, Chomsky, Fodor and Newell and Simon plus a few more recent incarnations.  This is the non-strawman target position. It treats the human cognitive system to be functionally organized with major components solving core informational problems such as seeing or perceiving scenes, identifying what or who is where, understanding and generating language, social cognition, planning and reasoning, predicting future states of the environment, and legions of other functions like facial recognition that we regard as central to being human.  After reviewing this position subsequent lectures describe and evaluate the different E’s – Embodied, Enactive, Embedded, Extended mind and also the common inspiration derived from Situated Cognition and Distributed Cognition. Throughout, we necessarily lean on philosophy insofar as the proponents have usually been philosophers. But our goal is to evaluate the empirical contributions inspired by these metaphysical or methodological positions.  The professor will lecture for half the class, but student participation is central throughout.  

Class meets every Monday 11am-1:50pm.


COGS 260 (B00): Cognitive Science Graduate Bootcamp | Professor Doug Nitz

For incoming doctoral students in cognitive science. During the first two weeks in September, students commit to ten to fifteen hours per day in lectures and workshops on the history of cognitive science, language and culture, machine learning and neural computation, neuroscience, design and human-computer interaction, programming and statistics, data science, ethnography, and clinical aspects of cognition. Students will attend weekly seminars during fall quarter. S/U grades and 2 units only.

Prerequisites: graduate (PhD) standing only; for students in the following major code CG75.

Course Pre-Authorizations

All COGS course pre-authorizations and prerequisite override requests must be made through the UC San Diego Enrollment Authorization System (EASy).