Cognitive Science
Courses
For course descriptions not found in the 2006-2007 General
Catalog, please contact the department for more information.
Lower-Division
1. Introduction to Cognitive Science (4)
A team-taught course highlighting development of the field and the
broad range of topics covered in the major. Example topics include
addiction, analogy, animal cognition, artificial life, brain damage,
cognitive development, distributed cognition, human-computer interaction,
language, neuroimaging, neural networks, reasoning, robots, and
real-world applications.
3. An Introduction to Computing (4)
A practical introduction to computers and how you can use their
power. Designed for undergraduates in the social sciences. Topics
include: basic operations of personal computers (MAC, PC), UNIX,
word processing, email, spreadsheets, and creating web pages using
the World Wide Web. No previous background in computing required.
8. Hands-on Computing (4) Introductory-level
course that will give students insight into the fundamental concepts
of algorithmic thinking and design. The course will provide the
students with first-person, hands-on experience programming a Web
crawler and simple physical robots.
10. Cognitive Consequences of Technology (4)
The role of cognition and computation in the development of state-of-the
art technologies such as human computational interaction in aviation,
air traffic control, medical diagnosis, robotics and telerobotics,
and the design and engineering of cognitive artifacts.
11. Introduction to Cognitive Science: Minds and Brains (4)
How damaged and normal brains influence the way humans solve problems,
remember or forget, pay attention to things; how they affect our
emotions; and the way we use language in daily life.
14. Design and Analysis of Experiments (4)
Design, statistical analysis, and interpretation of experiments
in the main areas of cognitive science: brain, behavior, and computation.
Introduction to mathematical foundations of probability and statistical
decision theory. Decision theory is applied to the problem of designing
and analyzing experiments. Students will participate in a group
project in which they must design scientific experiments, collect
data and analyze results. May fulfill general education requirements;
ask a college adviser.
17. Neurobiology of Cognition (4)
Introduction to the organization and functions of the nervous system.
Topics include molecular, cellular, developmental, systems, and
behavioral neurobiology. Specifically, structure and function of
neurons, peripheral and central nervous systems, sensory, motor,
and control systems, learning and memory mechanisms. (Students may
not receive credit for both Biology 12 and Cognitive Science 17.
This course fulfills general-education requirements for Marshall
and Roosevelt Colleges as well as Warren by petition.)
18. Introduction to Programming for Cognitive Science (4) Fundamentals
of computer programming are introduced. Topics include: fundamentals
of computer architecture, variables, functions, and control structures;
writing, testing, and debugging programs; programming style and
basic software design. Examples and exercises focus on cognitive
science applications. Prerequisite: Mathematics 10A or 20A.
25. Introduction to Web Programming (4)
Introduction to Web programming languages and their real-world applications.
Concepts and languages covered include document structure (XHTML).
A basic background in computing is required, but no prior programming
experience.
87. Freshman Seminar (1) The
Freshman Seminar Program is designed to provide new students with
the opportunity to explore an intellectual topic with a faculty
member in a small seminar setting. Freshman seminars are offered
in all campus departments and undergraduate colleges, and topics
vary from quarter to quarter. Enrollment is limited to fifteen to
twenty students, with preference given to entering freshmen.
91. SCANS Presents (1) The department
faculty and the Students for Cognitive and Neurosciences (SCANS)
offer this seminar exploring issues in cognitive science. It includes
informal faculty research presentations, investigations of topics
not covered in the curriculum, and discussions on graduate school
and careers. (May be repeated when topics vary.)
99. Independent Study (2 or 4) Independent
literature or laboratory research by arrangement with and under
direction of a Department of Cognitive Science faculty member. Prerequisites:
lower-division standing, completion of thirty units of UCSD undergraduate
study, a minimum UCSD GPA of 3.0, and a completed and approved “Special
Studies” form.
Upper-Division
101A. Sensation and Perception (4) An
introduction to the experimental study of cognition with a focus
on sensation and perception. Prerequisite: Cognitive Science
1.
101B. Learning, Memory, and Attention (4) A
survey of the experimental study of learning, memory, and attention.
Topics include conditioning, automaticity, divided attention, memory
systems, and the nature of mental representation. Prerequisites:
Cognitive Science 1. Recommended: Cognitive Science 101A.
101C. Language (4) An introduction
to structure of natural language, and to the cognitive processes
that underline its acquisition, comprehension, and production. This
course covers findings from linguistics, computer science, psychology,
and cognitive neuroscience to provide an integrated perspective
on human language abilities. Prerequisite: Cognitive Science
1. Recommended: Cognitive Science 101A.
102A. Distributed Cognition (4) Distributed
cognition extends beyond the boundaries of the person to include
the environment, artifacts, social interactions, and culture. Major
themes are the study of socially distributed cognition and the
role
of artifacts in human cognition. Prerequisite: upper-division
standing. Recommended: Cognitive Science 1 or Cognitive Science
10.
102B. Cognitive Ethnography (4) This
course examines memory, reasoning, language understanding, learning,
and planning directly in everyday, real-world settings. The coursework
will include discussions of both the findings and the methodology
of naturalistic studies of cognition. Prerequisite: Cognitive
Science 102A.
102C. Cognitive Engineering (4) Applications
of cognitive science for the design of human-centered systems are
explored. An extensive project analyzing an existing system or product
or designing a new prototype application is required. Prerequisites:
Cognitive Science 102A and 102B recommended.
107A. Neuroanatomy and Physiology (4) This
first course in the sequence focuses on principles of brain organization,
from neurons to circuits to functional networks. It explores developmental
plasticity, neuronal connectivity, cellular communication, complex
signaling, and how these various dimensions form functional brain
systems. Prerequisite: Cognitive Science 1.
107B. Systems Neuroscience (4) This
course is a rigorous introduction to the neurophysiological and
neuroanatomical basis of human and animal cognition, covering cellular
neurophysiology and circuit modeling, development, visual, somatosensory,
auditory, motor, and limbic systems; neuroimaging and language.
Prerequisite: Cognitive Science 107A.
107C. Cognitive Neuroscience (4) This
course studies brain systems implicated in attention, language,
object recognition, and memory. Neurobiological evidence for functional
subsystems within these processes and the way specialized systems
develop are considered using findings from animal studies, human
development, and behavioral and brain imaging. Prerequisites:
Cognitive Science 107B and its prerequisites.
108D. Programming Methods for Cognitive
Science (4) (Course
previously offered as COGS 108A fall 2001) The design, implementation,
and analysis of algorithms and data structures. Applications
include:
symbolic artificial intelligence, neural networks, genetic algorithms,
computer graphics, and human computer interaction. Prerequisites:
Cognitive Science 1 and Cognitive Science 18 or CSE 9A or CSE
10,
or permission of instructor. Course not offered in 2006–07.
108E. Neural Network Models of Cognition I (4) (Course
previously offered as COGS 108B winter 2002) This course is an elementary
introduction to neural networks and their use in cognitive science.
Students will learn how to construct and train neural networks to
solve problems at both the psychological and neurological levels
of cognition. Prerequisite: Cognitive Science 108D.
Course not offered in 2006–07.
108F. Advanced Programming Methods for Cognitive Science (4) (Course
previously offered as COGS 108C spring 2002) This course focuses
on providing students with additional programming experience in
the design of cognitive science applications and modeling. Each
time it is offered a specific application or modeling area will
be covered. Prerequisites: Cognitive Science 108E and Math 20F.
Course not offered in 2006–07.
109. Modeling and Data Analysis (4) Exposure
to the basic computational methods useful throughout cognitive science.
Computing basic statistics, modeling learning individuals, evolving
populations, communicating agents, and corpus-based lingusitics
will be considered. Prerequisites: Cognitive Science 18 or equivalent
programming course or consent of instructor.
113. Cognitive Development (4) This
course examines the foundations and growth of mind, discussing the
development of perception, imagery, concept formation, memory, and
thinking. Emphasis is placed on the representation of knowledge
in infancy and early childhood. (Credit may not be received for
both Psychology 136 and Cognitive Science 113.) Prerequisite:
Cognitive Science 101B or Psychology 105 or Psychology 101.
115. Neurological Development and Cognitive Change (4)
This course provides an overview of neurological development and
explores the relations between physiological change and the experience
of the child from the prenatal period through adolescence. Prerequisite:
Cognitive Science 17 or equivalent.
118A. Natural Computation I (4) This
course is an introduction to computational modeling of biological
intelligence, focusing on neural networks and related approaches
to supervised learning. Topics include estimation, filtering, optimization,
multilayer perceptrons, support vector machines, boosting, Bayes
nets. Prerequisites: Cognitive Science 109, Mathematics 20E,
Mathematics 20F, and Mathematics 180A or consent of instructor.
118B. Natural Computation II (4) This
course is an introduction to computational modeling of biological
intelligence, focusing on neural networks and related approaches
to unsupervised learning. Topics include density estimation, clustering,
self-organizing maps, principal component analysis, information
theoretic models, and evolutionary approaches. Prerequisites:
Cognitive Science 109, Cognitive Science 118A, Mathematics 20E,
Mathematics 20F, and Mathematics 180A or consent of instructor.
120. Human Computer Interaction (4)
This course is an introduction to the field of human computer interaction
(HCI). It provides an overview of HCI from the perspective of
cognitive
science. Recommended: Cognitive Science 10 and an introductory
programming course.
121. Human Computer Interaction Programming (4)
This course is an introduction to human computer interaction (HCI)
programming. It focuses on architectures, implementation techniques,
and cognitive issues involved in designing interactive interfaces.
Prerequisite: Cognitive Science 120 or consent of instructor.
143. Animal Cognition (4) Review
of historical perspectives: introspectionist, behaviorist, and cognitivist
models. Examination of how perceptual and motor constraints and
ecological demands yield species-specific differences in cognitive
repertoire. Contemporary issues in the comparative study of the
evolution of human cognition. Prerequisite: upper-division standing.
151. Analogy and Conceptual Systems (4)
Human thought and meaning are deeply tied to the capacity for mapping
conceptual domains onto each other, inducing common schemas
and
performing mental simulation. This course examines major aspects
of this cognitive activity including metaphor, conceptual blending
and embodied cognition. Prerequisite: upper-division standing. Course
not offered in 2006–07.
152. Cognitive Foundations of Mathematics
(4)
How the human mind/brain creates mathematics: embodiment, innovation,
and creativity. The emergence and power of abstract concepts, such
as infinity, infinitesimals, imaginary numbers, or zero. Cognitive
approaches that connect mathematics to human thought in general.
Prerequisite: upper-division standing.
154. Communication Disorders in Children and Adults (4)
Neural bases of language use in normal adults, and neural bases
of language and communication development in normal children. Evidence
on the language and communication deficits in adults (especially
aphasia and dementia) and children (specific language impairment,
focal brain injury, retardation, and autism). Prerequisites:
upper-division standing.
156. Language Development (4) A
comprehensive survey of theory, method and research findings on
language development in children ranging from the earliest stages
of speech perception and communication at birth to refinements in
narrative discourse and conversational fluency through middle childhood
and adolescence. Prerequisites: upper-division standing and background
in developmental psychology and/or linguistics is recommended.
Course
not offered in 2006–07.
160. Upper-Division Seminar on Special Topics (1-4)
Special topics in cognitive science are discussed. (May be repeated
when topics vary.) Prerequisite: department approval.
170. Natural and Artificial Symbolic Representational Systems
(4) This course develops a detailed analogy
between the evolution and architecture of language comprehension
in human primates and symbol processing at the level of individual
cells, contrasting this with the analogy between cognition and computation.
Prerequisites: Cognitive Science 17 or Biology 12; Cognitive
Science 18 or Computer Science and Engineering 62AB recommended.
172. Brain Disorders and Cognition (4)
A review of the patterns of impaired and intact cognitive abilities
present in brain-damaged patients in terms of damage to one or more
components of a model of normal cognitive functioning. (Cognitive
science majors may not receive elective credit for both Psychology
139 and Cognitive Science 172.) Prerequisite: Cognitive Science
107A.
174. Drugs: Brain, Mind and Culture (4)
This course explores how drugs interact with the brain/mind and
culture. It covers evolutionary and historical perspectives, brain
chemistry, pharmacology, expectancies and placebo effects, and models
of addiction. It also provides a biopsychosocial survey of commonly
used and abused substances. Prerequisite: upper-division standing.
Midterm, final, paper.
175. The Neuropsychological Basis of Alternate States of Consciousness
(4) This course will review the literature
that correlates brain rhythms in the human EEG with aspects of cognition,
behavioral states, neuropsycho-pharmacology, and psychopathology
in order to understand the psychological and neurophysiological
underpinnings of these experiences. Prerequisites: Cognitive
Science 101A or Cognitive Science 107A.
179. Electrophysiology of Cognition (4)
This course surveys the theory and practice of using recordings
of electrical and magnetic activity of the brain to study cognition
and behavior. It explores what brain waves reveal about normal and
abnormal perception, processing, decision making, memory, preparation,
and comprehension. Prerequisites: Cognitive Science 107A or Psychology
106; Cognitive Science 101A or Psychology 105.
181. Neural Network Models of Cognition II (4)
This course is a continuation of the study of neural models of cognitive
systems with an emphasis on applications and a term-long student
project. Prerequisites: Cognitive Science 108C and its prerequisites.
Course
not offered in 2006–07.
183. Artificial Life (4) This
class will explore models of life as it could be, in artificial
as well
as biological contexts. An attempt will be made to understand the
characteristics which distinguish living from nonliving systems.
Coursework includes computer simulations of artificial lifeforms.
Prerequisites: Cognitive Science 18, CSE 5A and 5B, or CSE 11,
or equivalent. Course
not offered in 2006–07.
184. Modeling the Evolution of Cognition (4)
Mathematical and computational modeling of the evolution and mechanisms
of simple cognitive functions. Theoretical background, including
topics in population genetics, behavioral ecology, evolutionary
game theory, dynamical systems theory, genetic algorithms and
neural
networks will be applied to questions concerning the evolution
of behavioral strategies, the relation between evolution and
learning,
and the evolution of cooperation, communication and other aspects
of social behavior. Prerequisites: programming ability, calculus,
and consent of instructor.
187A. Cognitive Aspects of Multimedia Design (4) This
course will examine the cognitive basis of successful multimedia
designs. We will be interested in what makes an interactive system
effective: what makes images easy to understand, animations clear
and helpful, and why some sequences of images, text, and sounds
make more sense than others. Students will learn Web design, how
to evaluate CD ROMs and assess their usability, and gain firsthand
experience with the problems of visualization. No programming skills
are presupposed but we do assume a strong familiarity with computer
software. Prerequisite: open to cognitive science majors with
upper-division standing only.
187B. Cognitive Aspects of Multimedia Design II (4) This
course follows up on the basics of multimedia design taught in Cognitive
Science 187A. Students will probe more deeply into selective topics,
such as animation, navigation, graphical display of information,
and narrative coherence. A large fraction of time will be spent
on group projects. Prerequisites: COGS 187A; open to cognitive
science majors with upper-division standing only.
188. Representation, Search, and the Web (4) Computational
methods for finding and exploiting structure across vast data corpora,
from personal email collections to the entire WWW. Implementation
and evaluation of algorithms used as part of modern search engines,
and how these are connected to models of shared cognition. Prerequisites:
Cognitive Science 108D or Computer Science and Engineering 12. Recommended:
Cognitive Science 108F.
190A. Pre-Honors Project in Cognitive Science (4)
This independent study course is for advanced students who wish
to prepare for and apply to the Cognitive Science Honors Program.
After completing this course, students may be admitted to the Honors
Program contingent upon significant progress made during the course.
(See Cognitive Science Honors Program section for more
information.) Students should contact faculty whose research interests
them to discuss possible projects. Prerequisite: upper-division
standing; instructor and department approval.
190B. Honors Studies in Cognitive Science (4) This
course will allow cognitive science honors students to explore advanced
issues in the field of cognitive science. It will also provide honors
students the opportunity to develop an honors thesis on the topic
of their choice and begin preliminary work under faculty supervision.
Students will receive an IP grade in 190B and the grade
assigned for 190C, when completed, will replace the IP
in 190B. Prerequisites: Cognitive Science 190A with grade of
A- or better and formal admittance to the Cognitive Science Honors
Program. (See Cognitive Science Honors Program section
for more information.)
190C. Honors Thesis in Cognitive Science (4) This
course will provide honors candidates an opportunity to complete
the research on and preparation of an honors thesis under close
faculty supervision. Oral presentation of students thesis
is required to receive honors; additionally, student must receive
grade of A- or better in 190B and 190C to receive honors. Prerequisite:
Cognitive Science 190B with grade of A- or better and formal admittance
to the Cognitive Science Honors Program. (See Cognitive
Science Honors Program section for more information.)
190D. Preparation for Thesis Presentation (1)
This course is affiliated with the honors program (190A-B-C) and
is required of honors students during spring quarter. Its aim is
to prepare students to present research results to an audience.
Emphasis will be on the oral presentation (organization, wording,
graphics), but there will also be some discussion about written
research reports. Seminar style format with occasional short lectures
wherein students will practice oral presentations and provide constructive
criticism to each other. Prerequisite: must be concurrently enrolled
in 190B or 190C.
191. Laboratory Research (1-4) Students
engage in discussions of reading of recent research in an area designated
and directed by the instructor and also participate in design and
execution of original research. Assignments include both oral and
written presentations and demonstrating the ability to pursue research
objectives. Prerequisites: consent of the instructor and department
approval. (May be repeated for credit, but not to exceed 8 units).
195. Instructional Apprenticeship in Cognitive Science (4)
Students, under the direction of the instructor, lead laboratory
or discussion sections, attend lectures, and meet regularly with
the instructor to help prepare course materials. Applications must
be submitted to and approved by the department. Prerequisites:
upper-division standing; 3.0 GPA; instructor and department approval.
P/NP only.
197. Cognitive Science Internship (2
or 4) The student will undertake
a program of practical research in a supervised work environment.
Topics to be researched may vary, but in each case the course
will provide skills for carrying out these studies. Prerequisite:
consent of instructor. 198. Directed Group Study (4) This
independent study course is for small groups of advanced students
who wish to complete a one- quarter reading or research project
under the mentorship of a faculty member. Students should contact
faculty whose research interests them to discuss possible projects.
Prerequisites: upper-division standing; 2.5 GPA; consent of instructor
and department approval.
199. Special Project (2 or 4) This
independent study course is for individual, advanced students who
wish to complete a one- quarter reading or research project under
the mentorship of a faculty member. Students should contact faculty
whose research interests them to discuss possible projects. Prerequisites:
upper-division standing; 2.5 GPA; consent of instructor and department
approval.
Graduate
200. Cognitive Science Seminar (4)
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.)
201. Systems Neuroscience (4) This
course is a rigorous introduction to the neurophysiological and
neuroanatomical basis of human and animal cognition, covering cellular
neurophysiology and circuit modeling; development; visual, somatosensory,
auditory, motor, and limbic systems; neuroimaging and language.
202. Cognitive Science Foundations: Computational Modeling of
Cognition (4) 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.
203. Cognitive Science Foundations: Theories and Methods in
the Study of Cognitive Phenomena (4) 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.
205. Introduction to Thesis Research (4)
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.
210A-B-C. Introduction to Research (4-4-4)
This sequence is an intensive research project. Students under faculty
mentorship perform a thorough analysis of the problem and the literature,
carry out original studies, and prepare oral and written presentations.
Students should aim for a report of publishable quality. Letter
grade required.
211A-B-C. Research Methods in Cognitive Science (2-2-2)
Issues in design, implementation, and evaluation of research in
cognitive science are discussed. Students will present and comment
on their own research projects in progress. Discussions also include
presentations of research to various audiences, abstracts, reviews,
grant process, and scientific ethics. Letter grade required.
213. Issues in Cognitive Development (4)
This course examines current issues in human development of interest
to cognitive scientists. An emphasis is placed on the foundations
of mind and how information is represented at various stages of
learning and development. (May be repeated once, when topics vary.)
215. Neurological and Cognitive Development (3)
This course is presented in two sections. The first part of the
course focuses on early neurological development. The second part
addresses questions concerned with the relations between cognitive
brain development, and linguistic and affective development.
220. Information Visualization (4)
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.
234. Distributed Cognition (4) This
course focuses on aspects of individual and socially distributed
cognition. Empirical examples are drawn from natural and experimental
settings which presuppose, tacitly or explicitly, socially distributed
knowledge among participants. The class examines the way locally
managed, pragmatic conditions influence how decisions are framed.
238. Topics in Cognitive Linguistics (14)
(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.) Course
not offered in 2006–07.
241. Ethics and Survival Skills in Academia (3)
(Same as Neurosciences 241) This course will cover ethical issues
which 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.
243. Statistical Inference and Data Analysis (4) 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.
245. Introduction to Probability Theory (4) This
is a one quarter introductory course on probability theory and
applications.
The target audience is researchers in the cognitive, computational
and neural sciences. The course also introduces scientific programming
in MatLab. The grade is based on homework, project, or a combination
of both. Course
not offered in 2006–07.
250. Connectionist Models of Language (4) This
course covers topics in computational psycholinguistics. The primary
focus will be on connectionist models, but will also include work
in statistical natural language processing as well as experimental
psycholinguistics. Course
not offered in 2006–07.
251. Aphasia (4) Research
and theory on language breakdown in brain-damaged adults is surveyed.
Topics
include an historical overview from linguistics, psycholinguistics,
and neuroscience (especially brain imaging techniques). Credit
may
not be received for both Psychology 245 and Cognitive Science 251.
Course
not offered in 2006–07.
253. Semantics and Cognition (4)
This course explores current issues in the study of meaning and
its interaction with other areas of cognitive science. The focus
is on cognitive semantics, pragmatics, and meaning construction
in general.
254. Pragmatics and Common Sense Reasoning (4) A
study of the pragmatic principles involved in language comprehension
and the logic of everyday life. Cognitive, linguistic, cultural,
and sociological aspects will be covered.
256. Language Acquisition (4) Discussion
of the acquisition of language by young children, including such
topics as its stages, mechanisms, and relation to nonlinguistic
development. Course
not offered in 2006–07.
260. Seminar on Special Topics (1-4)
Specific topics in cognitive science are discussed. (May be repeated
when topics vary.)
271. Cognitive Neuropharmacology (4) This
course provides a review of the neurochemistry of cognition. Topics
include functional anatomy of neurotransmitter circuitry, computational
properties of neuromodulation, interaction of psychoactive substances
with brain and behavior, neuropharmacological accounts of cognitive
disorders (e.g., addiction, depression, schizophrenia). Course
not offered in 2006–07.
272. Topics in Theoretical Neurobiology (4)
The main focus of this course is the relationship between nervous
system function and cognition. It covers broad theoretical issues
and specific topics. Material comes from lectures, papers, and the
text. Topic varies each time the course is offered. (May be repeated
for credit.)
273. Biological Basis of Attention (4)
A survey of the research and theories of attention with special
emphasis on the current anatomical, physiological, and biochemical
basis of attention.
275. Visual Modeling (4) Visual
system neurophysiology and neuroanatomy, and neurally realistic
and artificial intelligence modeling approaches are covered. Topics
are: dendrites, orientation and edges, motion, stereo, shading
and
color, eye movements, and pattern recognition. Students prepare
computer modeling projects or research papers. Course
not offered in 2006–07.
276. Foundations of Neuroimaging (4) Foundations
of neuroimaging: (1) MRI/fMRI: RF excitation, relaxation, echos,
image formation, BOLD and flow, DTi, EPI, time and series analysis,
(2) cortical surface reconstruction, morphing, mapping, and data
display, (3) physiological basis of MEG and EEG, forward and inverse
solutions.
279. Electrophysiology of Cognition (4)
This course surveys the theory and practice of using recordings
of electrical and magnetic activity of the brain to study cognition
and behavior. It explores what brain waves reveal about normal and
abnormal perception, processing, decision making, memory, preparation,
and comprehension. Graduate students will be required to do additional
readings for the material each week (different for each grad) and
to present orally (as well as in a written page) a critical analysis
of the readings. Prerequisites: COGS 107A or PSYC 106; COGS 101A
or PSYC 105.
290. Cognitive Science Laboratory Rotation (2)
Laboratory rotations provide students with experience in the various
experimental methods used in cognitive science. Prerequisite:
consent of instructor. S/U only.
291. Laboratory Research (1-4) Students
engage in discussions of reading of recent research in an area designated
and directed by the instructor and also participate in the design
and execution of original research. Students are expected to demonstrate
oral and written competence in presenting original research. Prerequisite:
consent of the instructor and departmental approval. (May be
repeated for credit.)
298. Directed Independent Study (1-12)
Students study and research selected topics under the direction
of a member of the faculty.
299. Thesis Research (1-12) Students
are provided directed research on their dissertation topic by faculty
advisers.
500. Teaching Apprenticeship (1-4)
This practicum for graduate students provides experience in teaching
undergraduate cognitive science courses. S/U only.
Cognitive Science Courses
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