| source UC San Diego (X) |
level |
department Cognitive Science (X) |
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, human-computer interaction, language, neuroimaging, neural networks, reasoning, robots, and real-world applications.
Score: 10.393307 Details | Listing | Web page
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.
Score: 10.393307 Details | Listing | Web page
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.
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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.
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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.
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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 advisor.
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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.)
Score: 10.393307 Details | Listing | Web page
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.
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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.
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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.
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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.)
Score: 10.393307 Details | Listing | Web page
Independent literature or laboratory research by arrangement with and under direction of a Department of Cognitive Science faculty member.
Score: 10.393307 Details | Listing | Web page
An introduction to the experimental study of cognition with a focus on sensation and perception.
Score: 10.393307 Details | Listing | Web page
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.
Score: 10.393307 Details | Listing | Web page
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.
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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.
Score: 10.393307 Details | Listing | Web page
This course examines memory, reasoning, language understanding, learning, and planning directly in everyday, real-world settings. The course work will include discussions of both the findings and the methodology of naturalistic studies of cognition.
Score: 10.393307 Details | Listing | Web page
This is a project-based course focused on the process of cognitive design. Students work in teams to design and evaluate a prototype application or redesign an existing system. Three hours of lecture and two hours of design laboratory.
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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.
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(Conjoined with Cognitive Science 201) 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. Students in Cognitive Science 107B will have a textbook and will be given short-answer tests; students in Cognitive Science 201 will have a reader and written take-home assignments, in addition to a short final paper.
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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.
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(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.
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(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.
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(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.
Score: 10.393307 Details | Listing | Web page
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.
Score: 10.393307 Details | Listing | Web page