Mar 28, 2024  
2014-2015 Catalog 
    
2014-2015 Catalog [ARCHIVED CATALOG]

Course Descriptions


UNDERGRADUATE COURSES
Lower Division Courses numbered 1–99 are designed primarily for freshmen and sophomores but are open to all students for lower division credit. (Graduate students requesting to enroll in lower-division undergraduate courses will not receive unit credit nor will the course fulfill degree requirements.) Upper Division Courses courses numbered 100–199 are open to all students who have met the necessary prerequisites as indicated in the catalog course description. Preparation should generally include completion of one lower division course in the given subject or completion of two years of college work.

GRADUATE COURSES
Courses numbered 200–299 are open to graduate students. (Undergraduate students must obtain the signature of the instructor, School Dean, and the Dean of Graduate Studies. Graduate level units will count towards the required 120 units for graduation; however students are urged to meet with their academic advisor in order to determine if graduate course units may be used to fulfill a graduation requirement.)

CROSS-LISTED/CONJOINED COURSES
Cross-listed Courses are the same course offered under different course subjects at the same level (either undergraduate or graduate) that share the same meeting time, requirements, units, etc. Conjoined Courses are the same course but one is undergraduate and one is graduate.

COREQUISITE COURSE
A corequisite course is a course that must be taken at the same time as another course.

PREREQUISITES
Prerequisites for courses should be followed carefully; the responsibility for meeting these requirements rests on the student. If you can demonstrate that your preparation is equivalent to that specified by the prerequisites, the instructor may waive these requirements for you. The instructor also may request that a student who has not completed the prerequisites be dropped from the course. Note: For all courses a “C-” or better grade is required for a course to be used as a prerequisite for another course. If a course was taken for a “P/NP” grade then a “P” grade is required. If the prerequisite for a course is not satisfied, students must obtain the approval of the instructor (or school designee) of the course they wish to take.

FOREIGN LANGUAGES
No credit is allowed for completing a less advanced course after successful completion (C-or better) of a more advanced course in the foreign languages. This applies only to lower division foreign language courses, not upper division courses. 

More information about Course Substitutions , Grading Options , and Course Materials and Services Fees  can be found in alternate areas of the catalog.

 

Chemistry

  
  • CHEM 212: Molecular and Solid State Quantum Chemistry


    [3.0 units]

    Theory and practical application of molecular quantum mechanics. Schrödinger equation and matrix representations of quantum mechanics; simple exactly solvable model problems; calculation of observable properties; vibrational and electronic wave functions; approximation methods; quantum mechanics of spectroscopy. Graduate requirements include computer laboratory and a computational project.

    Normal Letter Grade only.


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  • CHEM 214: Statistical Thermodynamics


    [3.0 units]

    Includes a treatment of statistical mechanical ensembles, applications of equilibrium statistical mechanics to interacting and noninteracting systems and the connection to classical thermodynamics, numerical simulation techniques, and an introduction to topics in nonequilibrium statistical mechanics.

    Normal Letter Grade only.


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  • CHEM 215: Chemical Kinetics


    [3.0 units]

    The rates and mechanisms of elementary reactions, unimolecular reactions, reactions in the gas phase, in solutions and on surfaces. Energy and charge transfer phenomenon. Kinetics of surface and enzyme catalysis. Kinetic modeling of multistep reactions.

    Prerequisite: CHEM 112  and CHEM 113  or graduate standing in Chemistry or Physics. Normal Letter Grade only.


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  • CHEM 225: Molecular Electronic Structure


    [3.0 units]

    Modern theoretical methods, algorithms, and computational tools for understanding the energetics and properties of molecules. This includes molecular mechanics, semi-empirical methods, but with a focus on ab initio based approaches. Electronic structure methods such as Hartree-Fock, density functional theory, couples-cluster, and configuration interaction will be introduced.

    Prerequisite: CHEM 212  or consent of instructor.


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  • CHEM 231: Molecular Spectroscopy


    [3.0 units]

    Time-dependent quantum mechanics; interaction of radiation with matter; electronic spectra of atoms and molecules; vibrational, rotational, and Raman spectra; magnetic resonance spectroscopy; X-ray, neutron, and electron diffraction. Modern experimental and theoretical methods in spectroscopy. Graduate requirements include a term paper critically evaluating a recent technique in spectroscopy.

    Prerequisite: CHEM 212 .


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  • CHEM 251: Microstructures Processing and Properties of Materials


    [3.0 units]

    Relationships between material properties and their molecular and higher-level organization; control of these properties by the environment to which the material is subjected during processing.


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  • CHEM 260: Introduction to Scientific Computing


    [3.0 units]

    Teaches the tools and principles of scientific computing, covering the Linux operating system, programming tools and editors, shell scripting, data analysis using R, and scientific programming using interpreted and compiled languages. Course involves interactive lecture/laboratory sessions where students will gain experience doing scientific computing on both local and remote computers.

    Normal Letter Grade only.


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  • CHEM 270: Academic Writing in Graduate Studies


    [2.0 units]

    Designed to increase the writing proficiency of graduate students, with a focus on strategies for reading critically, organizing and developing thoughts, choosing appropriate vocabulary, and generating and revising writing in a given scientific field. Topics address scientific disciplines. Projects may include writing abstracts, research reports, literature reviews, posters, and grant proposals.


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  • CHEM 281: Molecular Dynamics and Biomolecular Simulation


    [4.0 units]

    Uses lectures and laboratory exercises to teach the practice of biomolecular modeling.  Topics include classical molecular dynamics, molecular mechanics and visualization.  The laboratories involve simulations of systems including water, DNA and proteins.  The course includes two projects for the students to apply molecular simulation to their graduate research.

    Normal Letter Grade only. Discussion, Laboratory included.


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  • CHEM 290: Current Topics in Physics and Chemistry


    [3.0 units]

    Exploration of current research directions, problems, and techniques in molecular and materials chemistry, physics, and engineering. Course format emphasizes student-led presentation, analysis, and discussion of reading assignments from the current and recent scientific literature. Topics are determined by the instructor and change each semester.

    Course may be repeated for credit.


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  • CHEM 291: Physics and Chemistry Seminar


    [1.0 unit]

    Graduate seminar in physics and chemistry.

    Satisfactory/Unsatisfactory only. Course may be repeated for credit.


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  • CHEM 298: Directed Group Study


    [1.0-6.0 units]

    Group project under faculty supervision.

    Satisfactory/Unsatisfactory only. Course may be repeated for credit.


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  • CHEM 299: Directed Independent Study


    [1.0-6.0 units]

    Independent project under faculty supervision.

    Satisfactory/Unsatisfactory only. Course may be repeated for credit. Laboratory included.


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Chicano/a Studies

  
  • CCST 060: Introduction to Chicano/a Culture and Experiences


    [4.0 units]

    Introduction to Chicano/a cultural practices and experiences, with emphasis on the ties between culture, race, gender, social class, language, historical developments, artistic and literary expression, migration and transculturation. We will analyze changes in Chicano/a culture and cultural practices as Chicanos/as adapted to different historical and social circumstances. Taught in English.

    Prerequisite: WRI 001  or passing score on the entry level analytical Writing Placement Exam or equivalent. Normal Letter Grade only. Discussion included.


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  • CCST 113: Latino and Immigrant Health


    [4 units]

    Examines predictors of health for refugees and immigrant to the US, and their descendants, paying particular attention to Latinos. Examines the effects of acculturation on health, and shifts in health and health-related behavioral outcomes between refugees or immigrants and second and third (and beyond) generations.

    Prerequisite: PH 001  or PH 005  or consent of instructor. Normal Letter Grade only.


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  • CCST 195: Upper Division Undergrad Research


    [1.0-4.0 units]

    Directed undergraduate research is essential for exposing students to the possibilities of academic inquiry in their fields of interest. A course of this nature is of especial importance for interdisciplinary programs like CCST in which research questions can be approached from multiple, complementary angles.

    Prerequisite: Junior Standing and (CCST 060  or SPAN 060  or ENG 032 ). Normal Letter Grade only. Course may be repeated 3 times for credit.


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Chinese

  
  • CHN 001: Elementary Chinese I


    [4.0 units]

    Introduction to speaking, reading, writing and understanding modern Chinese (Mandarin).

    Normal Letter Grade only.


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  • CHN 002: Elementary Chinese II


    [4.0 units]

    Introduction to speaking, reading, writing and understanding modern Chinese (Mandarin).

    Prerequisite: CHN 001  or appropriate score on the Chinese placement exam or three years of Chinese in high school.
    Normal Letter Grade only.


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  • CHN 003: Intermediate Chinese I


    [4.0 units]

    Review of modern standard Chinese (Mandarin) pronunciation and grammar as well as pinyin and simplified characters. Emphasizes speaking and writing skills. Readings are utilized to build cultural understanding.

    Prerequisite: CHN 002  or appropriate score on the Chinese placement exam.


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  • CHN 004: Intermediate Chinese II


    [4.0 units]

    Review of modern standard Chinese (Mandarin) pronunciation and grammar as well as pinyin and simplified characters. Emphasizes speaking and writing skills. Readings are utilized to build cultural understanding.

    Prerequisite: CHN 003  or appropriate score on the Chinese placement exam.


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  • CHN 092: Internship in Chinese


    [1.0-4.0 units]

    Provides oversight and structure for a student’s internship in a field related to Chinese in community organizations, professional research projects, etc. connected to the study of Chinese. Students are required to write an original research paper or relevant product that demonstrates how the internship advanced their knowledge of Chinese.

    Pass/Fail only. Course may be repeated 2 times for credit.


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  • CHN 098: Lower Division Directed Group Study


    [1.0-5.0 units]

    Group project under faculty supervision.

    Pass/Fail only. Course may be repeated for credit.


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  • CHN 192: Internship in Chinese


    [1.0-4.0 units]

    Provides oversight and structure for a student’s internship in a field related to Chinese in community organizations, professional research projects, etc. connected to the study of Chinese. Students are required to write an original research paper or relevant product that demonstrates how the internship advanced their knowledge of Chinese.

    Prerequisite: Junior standing. Pass/Fail only. Course may be repeated 2 times for credit.


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  • CHN 198: Upper Division Directed Group Study


    [1.0-5.0 units]

    Group project under faculty supervision.

    Pass/Fail only. Course may be repeated for credit.


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  • CHN 199: Upper Division Individual Study


    [1.0-5.0 units]

    Independent project under faculty supervision.

    Pass/Fail only. Course may be repeated for credit.


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Cognitive Science

  
  • COGS 001: Introduction to Cognitive Science


    [4.0 units]

    An introduction to the interdisciplinary field of cognitive science. Basic issues related to cognition, including perception, memory, language, learning, problem solving, spatial cognition, attention, mental imagery, consciousness, brain damage, development, and artificial intelligence, are considered from the perspectives of psychology, philosophy, computer science, and neuroscience.

    Discussion included.


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  • COGS 005: Introduction to Language and Linguistics


    [4.0 units]

    An introduction to the scientific study of language. Topics include phonology, phonetics, syntax, semantics, pragmatics, sociolinguistics, psycholinguistics, historical linguistics, language acquisition, and natural discourse.

    Discussion included.


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  • COGS 092: Internship in Cognitive Science


    [1.0-4.0 units]

    Provides oversight and structure for a student’s internship in a field related to cognitive science connected to the study of cognitive science. Students are required to write an original research paper or relevant product that demonstrates how the internship advanced their knowledge of cognitive science.

    Pass/Fail only. Course may be repeated 2 times for credit.


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  • COGS 102: Introduction to Cognitive Modeling


    [4.0 units]

    An introduction to the use of computer programs in modeling and cognitive phenomena. Some proficiency in a high level programming language [C, Java, Lisp, etc.] is assumed. Topics include symbolic artificial intelligence, neural networks, genetic algorithms, and computer graphics.

    Prerequisite: (COGS 001  or PSY 001 ) and CSE 020 , or consent of instructor.


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  • COGS 103: Introduction to Neural Networks in Cognitive Science


    [4.0 units]

    Introduction to the use of neural networks in the study of cognitive phenomena. Topics include perception, attention, language, memory, and biologically realistic model neurons.

    Prerequisite: COGS 001  or PSY 001  or consent of instructor.


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  • COGS 104: Complex Adaptive Systems


    [4.0 units]

    Introduction to the study of complex phenomena using dynamical computer simulations, which exhibit emergent properties, sensitivity to initial conditions, fractal structure, phase transitions in random graphs, and shifts from stability to meta-stability to chaos. Matlab projects include: probability games, neural networks, the Lorenz attractor, the logistic map, the Mandelbrot set.

    Prerequisite: COGS 001  or consent of instructor. Normal Letter Grade only. Discussion, Laboratory included.


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  • COGS 105: Research Methods for Cognitive Scientists


    [4.0 units]

    Methods used for conducting interdisciplinary research in cognitive science. Topics range from identifying interesting problems, applying methods and theory to everyday cognitive tasks, designing projects, collecting data, analyzing and interpreting data, modeling data, and writing up results. Lab work and group projects are included.

    Prerequisite: (COGS 001  or PSY 001 ) and PSY 010 . Laboratory included.


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  • COGS 110: Philosophy of Cognitive Science


    [4.0 units]

    Consideration of philosophical and foundational issues in cognitive science, including the Turing Test, the Chinese Room argument, the nature of cognitive architecture, animal cognition, connectionism vs. symbolic artificial intelligence, and the possibility of thinking machines.

    Prerequisite: PHIL 001  or COGS 001  or consent of instructor.


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  • COGS 110A: Topics in Philosophy of Cognitive Science


    [4.0 units]

    Special topics in philosophy of cognitive science. Consideration of empirical work in cognitive science in relation to such topics as personal identity, the self, brain injury, emotion, and morality.

    Prerequisite: COGS 001  or PSY 001  or PHIL 001  or consent of instructor. Course may be repeated 3 times for credit.


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  • COGS 123: Computational Cognitive Neuroscience


    [4.0 units]

    Design and analysis of computational simulations of human behavior and brain function. Techniques for modeling active membranes, individual neurons, the dynamics produced by recurrent excitation and lateral inhibition, synaptic plasticity, and the computational role of neurotransmitters. Formal models of perception, attention, learning, memory, language, categorization, and cognitive control.

    Prerequisite: (COGS 001  or PSY 001 ) and one upper division COGS course or consent of instructor. Laboratory included.


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  • COGS 125: Introduction to Artificial Intelligence


    [4.0 units]

    Provides an overview of the main concepts and algorithms underlying the understanding and construction of intelligent systems: agents, problem solving, search, representation, reasoning, planning, communication, perception, robotics, neural networks. Includes practical experimentation of algorithms in computer labs.

    Prerequisite: (CSE 020  and CSE 021 ) or (CSE 020  and CSE 021 ) or (CSE 030  and CSE 031 ) or consent of instructor. Laboratory included.


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  • COGS 127: Modern Everyday Cognition


    [4.0 units]

    Examination of core findings from cognitive science and their application to modern life. Topics include the integration of cognition and technology, change in real and virtual social structures, influence of technology on social systems, use of virtual crowds to solve problems, and more. Readings and activities draw from many disciplines.

    Prerequisite: COGS 001 . Normal Letter Grade only.


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  • COGS 128: Cognitive Engineering


    [4.0 units]

    This survey provides an introduction to cognitive engineering, with an emphasis on cognitive science. Topics include human computer interaction, human robot interaction, speech recognition systems, animated characters, virtual reality systems, ubiquitous computing, computer supported cooperative work, and the implications of cognitive science research on the design and use of electronic devices and user interfaces in the 21st Century.

    Prerequisite: COGS 001  or PSY 001  or consent of instructor. Laboratory included.


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  • COGS 130: Cognitive Neuroscience


    [4.0 units]

    Brain systems involved in mental processes including perception, attention, language, reasoning, spatial cognition, memory, and decision-making. Neurobiological evidence for functional subsystems within these processes and the evolution of specialized systems are considered through examining findings from animal studies, human behavior and development research, and brain imaging studies.

    Prerequisite: COGS 001  or BIO 001  or PSY 001 .


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  • COGS 140: Perception and Action


    [4.0 units]

    Surveys key theories and experimental procedures for studying perception and action. Topics include psychophysics; perception of color, space, shape and motion; pattern recognition; perceptual attention; principles of human action and motor control; perception-action coupling; applied domains of perception and action including sports and robotics.

    Normal Letter Grade only. Discussion included.


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  • COGS 141: Vision


    [4.0 units]

    Provides a survey of vision from interdisciplinary perspectives. Topics include: neurophysiological structure and function; psychophysical methods; color, motion, and form perception; spatial perception and attention; evolutionary perspectives; philosophy of visual consciousness; models of vision; applied technologies; the role of vision in art, film, and other expression.

    Prerequisite: COGS 001  or consent of instructor.


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  • COGS 144: Animal Cognition


    [4.0 units]

    Focuses on how different species of animals process, organize, and retain information. Topics such as learning and memory, sensation and perception, navigation and migration, and communication, are discussed from ethological, experimental, behavioral, and neuroscientific perspectives. Contemporary issues in the comparative study of the evolution of human cognition are also addressed.

    Prerequisite: Junior standing and PSY 001  or COGS 001  or consent of instructor.


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  • COGS 150: Language, Cognition, and Interaction


    [4.0 units]

    Examines the interactive nature of language. Discussion focuses on the extent to which perception, memory, and other non-linguistic processes interact with language and the way people use language to interact in everyday situations. Topics include conversational language, gesture, speech disfluencies, figurative language, spatial language, child-parent interaction, speech recognition, and human-computer processing. Integrates research from psychology, linguistics, sociolinguistics, and human-computer interaction. Research project required.

    Prerequisite: (PSY 001  or COGS 001 ) and COGS 005  or consent of instructor.


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  • COGS 151: Speech Processing


    [4 Units]

    Focuses on methods for recording speech and other vocal signals, for processing and modifying such recordings, and for synthesizing artificial speech. Necessary background in speech science is provided. In addition to class discussion and short, hands-on exercises, each student develops, executes, and presents a hands-on term project.

    Prerequisite: Sophomore, Junior, or Senior standing only. Normal Letter Grade Only.


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  • COGS 152: Services Science and Management


    [4.0 units]

    Services e.g., restaurants, hotels, lawyers, information technology operations, business consulting – account for more than 80% of jobs in the US. Through case studies of businesses and scientific studies of people in real service settings, this course focuses on how to align people and technology effectively to generate value.

    Prerequisite: Junior standing or consent of instructor. Normal Letter Grade only.


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  • COGS 153: Judgment and Decision Making


    [4.0 units]

    An introduction to the study of human judgment and decision making. Topics include decision making under uncertainty, financial choices, health decision making, group decisions, rational theories of choice behavior, and improving decision making. The material is related to cognitive science, psychology, economics, and other social sciences.

    Prerequisite: PSY 001  or COGS 001  or ECON 001 .


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  • COGS 154: Cognitive Science Applications for Management


    [4.0 units]

    Covers thought, behavior, and interaction in modern businesses, where knowledge workers interact with one another and with technology. Topics include business decision making, risk behavior, attitudes toward risk, planning, communication, information management, information systems, human-computer interaction, neuroeconomics, and organizational behavior.

    Prerequisite: COGS 001  or PSY 001  or consent of instructor.


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  • COGS 159: Metaphor and Thought


    [4.0 units]

    An interdisciplinary survey of metaphor with links to linguistics, literature, philosophy, psychology, and other areas. The focus is on the use and understanding of metaphor in everyday thought and communication, art, politics, literature, and technology. Popular theories and approaches to studying metaphor are included.

    Prerequisite: COGS 001 .


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  • COGS 160: Free Will in Philosophy and Cognitive Science


    [4.0 units]

    An exploration of the concept of free will and the plausibility of its existence through both philosophy and cognitive science. By the end of the course students will be conversant on the topic of free will and the latest developments in the debate.

    Prerequisite: Any lower division PHIL course or COGS 001  or consent of instructor.


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  • COGS 161: Experimental Philosophy


    [4.0 units]

    Consideration of how philosophers and cognitive scientists have tried to bring experimental methods to bear on philosophical debates. Topics may include consciousness, free will, and moral psychology.

    Prerequisite: COGS 001  or any lower division PHIL course or consent of instructor.


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  • COGS 171: Memory and Cognition


    [4.0 units]

    Advanced study of recent research on human memory such as systems of memory, memory disorders, the neural basis of memory, memory and consciousness, memory and emotion, representation of knowledge, computer models of memory.

    Prerequisite: PSY 160  or consent of instructor. Normal Letter Grade only.


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  • COGS 172: Thinking and Reasoning


    [4.0 units]

    Advanced study of recent research on thinking and reasoning such as inductive and deductive reasoning, concepts and categorization, problem solving, creative thinking, expertise, cognition in groups, relations to philosophy of science.

    Prerequisite: PSY 160  or consent of instructor. Normal Letter Grade only.


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  • COGS 173: Advanced Judgment and Decision Making


    [4.0 units]

    Advanced study of recent research on judgment and decision making, such as behavioral economics, rationality and intelligence, health and medical decision making, decision neuroscience.

    Prerequisite: COGS 153  or MGMT 153  or ECON 153  or POLI 153 .


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  • COGS 175: Spatial Cognition


    [4.0 units]

    Topics include navigation, perception of space and motion, spatial attention, spatial language, neurological deficits related to spatial cognition, spatial mental models, motion path planning in humans and computers, and visual representation in the arts and new media.

    Prerequisite: COGS 001  or PSY 001 .


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  • COGS 177: Consciousness and Unconsciousness


    [4.0 units]

    Consideration of topics relating to consciousness, unconsciousness, and relations between conscious and unconscious mental processes. Topics include access vs. phenomenal consciousness, empirical measures of consciousness, blindsight, subliminal perception, and unconscious decision making.

    Prerequisite: COGS 001  or PSY 001  or consent of instructor. Normal Letter Grade only.


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  • COGS 190: Advanced Seminar in Cognitive Science


    [4.0 units]

    Intensive treatment of a special topic or problem within cognitive science.

    Prerequisite: Junior standing. Course may be repeated 1 time for credit.


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  • COGS 192: Internship in Cognitive Science


    [1.0-4.0 units]

    Provides oversight and structure for a student’s internship in a field related to cognitive science connected to the study of cognitive science. Students are required to write an original research paper or relevant product that demonstrates how the internship advanced their knowledge of cognitive science.

    Prerequisite: Junior standing. Pass/Fail only. Course may be repeated 2 times for credit.


    View course scheduling information


  
  
  
  
  • COGS 201: Cognitive Science Foundations I


    [4.0 units]

    Solidification and expansion of students’ existing knowledge of the fundamental theoretical frameworks and methodological tools of cognitive science. Connections among philosophy of mind, cognitive neuroscience, theoretical linguistics, artificial intelligence, and cognitive psychology, are emphasized. Required of all first-year Cognitive Science graduate students.


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  • COGS 202: Cognitive Science Foundations II


    [4.0 units]

    Continuation of COGS 201, with more emphasis placed on recent developments and applications in Cognitive Science, and tools needed to conduct cognitive science research in a variety of domains. Also includes practical career information, such as tutorials in grant-writing, effective presentation, writing techniques, and professional development. Required of all first-year Cognitive Science graduate students.


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  • COGS 203: Introduction to Neural Networks in Cognitive Science


    [4.0 units]

    Introduction to the use of neural networks in the study of cognitive phenomena. Topics include perception, attention, language, memory and biologically realistic model neurons. This graduate level version of the course includes a sizeable final project that simulates data from cognitive research.


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  • COGS 204: Complex Adaptive Systems


    [4.0 units]

    Introduction to the study of complex phenomena using dynamical computer simulations, which exhibit emergent properties, sensitivity to initial conditions, fractal structure, phase transitions in random graphs, and shifts from stability to meta-stability to chaos. Matlab projects include: probability games, neural networks, the Lorenz attractor, the logistic map, the Mandelbrot set.

    Normal Letter Grade only.


    View course scheduling information


  
  • COGS 223: Computational Cognitive Neuroscience


    [4.0 units]

    Design and analysis of computational simulations of human behavior and brain function. Techniques for modeling active membranes, individual neurons, the dynamics produced by recurrent excitation and lateral inhibition, synaptic plasticity, and the computational role of neurotransmitters. Formal models of perception, attention, learning, memory, language, categorization, and cognitive control.

    Laboratory included.


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  • COGS 250: Cognitive Science Graduate Seminar


    [4.0 units]

    Covers broad issues in cognitive science, with an emphasis on computation, and the connections among mind, technology, and society. Each semester will feature guest speakers and topics such as artificial intelligence, design, human-computer interaction, perception, language, high level cognition, reasoning, philosophy of cognitive science, neuroscience, and the role of echnology in society.

    Satisfactory/Unsatisfactory only. Course may be repeated for credit. Discussion included.


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  • COGS 251: Speech Processing


    [4 Units]

    Introduces methods for recording speech and other vocalizations, for processing and modifying such recordings, and for synthesizing artificial speech. Necessary background in speech science is provided. Each student develops, executes, and presents a hands-on term project, related to their research interests, and produces a full-length technical conference proceedings style paper.

    Normal Letter Grade Only.


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  • COGS 269: Topics in Cognitive Science


    [4.0 units]

    Seminar on a specific topic in cognitive science. May be repeated for credit on a different topic.

    Course may be repeated for credit.


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  • COGS 285: Topics in Philosophy of Cognitive Science


    [4.0 units]

    Detailed study of special topics in the philosophy of cognitive science, including (but not limited to): Animal Cognition, Cognitive Architecture, Consciousness, Mental Representation, Modularity, Nativism vs. Empircisim, and Self.

    Course may be repeated 3 times for credit.


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  • COGS 298: Directed Group Study


    [1.0-6.0 units]

    Group project under faculty supervision.

    Satisfactory/Unsatisfactory only. Course may be repeated for credit.


    View course scheduling information


  
  • COGS 299: Directed Independent Study


    [1.0-6.0 units]

    Independent project under faculty supervision.

    Satisfactory/Unsatisfactory only. Course may be repeated for credit.


    View course scheduling information



Computer Science and Engineering

  
  • CSE 005: Introduction to Computer Applications


    [4.0 units]

    This project-based experience presents the use of computers to control information flow: data collection, management, analysis, and presentation. Basic programming skills, selection of appropriate computer-based tools and languages, and data security are covered. Emphasis is placed on computer knowledge necessary for non-CSE majors to successfully use and manage data and information.

    Normal Letter Grade only. Laboratory included.


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  • CSE 020: Introduction to Computing I


    [2.0 units]

    CSE 020 is intended to present the basics of programming to a student with no prior experience. Basic concepts of Input/Output, Data Types, Variables and Arrays will be introduced in the context of solving problems. Elementary programming skills such as conditional and loops execution will be emphasized.

    Normal Letter Grade only. Laboratory included.


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  • CSE 021: Introduction to Computing II


    [2.0 units]

    Object-oriented Programming, methods, recursion and data manipulation will be introduced. Students are expected to solve problems using different programming paradigms.

    Prerequisite: CSE 020  Normal Letter Grade only. Laboratory included.


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  • CSE 030: Introduction to Computer Science and Engineering I


    [4.0 units]

    The main focus of this course is on the design, analysis, and implementation of fundamental data structures, design patterns, and algorithms used throughout computer science, including linked lists, stacks, queues, trees, hash tables, graphs, recursion, and methods for searching and sorting.

    Prerequisite: CSE 021  Normal Letter Grade only. Laboratory included.


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  • CSE 031: Introduction to Computer Science and Engineering II


    [4.0 units]

    Exposes students to the underlying structure of machines. Starting from C programming, pointers, data representation, MIPS instruction-set, Compilation process and down to Hardware implementation.

    Prerequisite: CSE 030  Normal Letter Grade only. Laboratory included.


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  • CSE 100: Algorithm Design and Analysis


    [4.0 units]

    Introduction to the design and analysis of computer algorithms. Topics will include concepts of algorithm complexity, and various algorithmic design patterns like divide and conquer, dynamic programming and greedy algorithms. Course will also cover major algorithms and data structures for searching and sorting, graphs and some optimization techniques.

    Prerequisite: CSE 031 . Normal Letter Grade only. Laboratory included.


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  • CSE 106: Exploratory Computing


    [4.0 units]

    Our ability to manipulate data depends on and is limited by our familiarity with computing technologies. We study tools for exploratory computing, emphasizing programming and scripting languages over point-and-click interfaces. We cover the Unix basics and common utilities, regular expressions, Perl and R languages. Development of a problem solving ability to learn languages independently and cull online documentation.

    Normal Letter Grade only. Laboratory included.


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  • CSE 107: Introduction to Digital Image Processing


    [4.0 units]

    Overview of digital image processing including visual perception, image formation, spatial transformations, image enhancement, color image representations and processing, edge detection, image segmentation, and morphological image processing.

    Prerequisite: Junior standing and MATH 024  and MATH 032  and CSE 031 , or consent of instructor. Normal Letter Grade Only. Laboratory Included.


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  • CSE 111: Database Systems


    [4.0 units]

    Principles of database design and operation. Relational data model. High-level data modeling representations. SQL database language. Active databases with constraints and triggers. Query optimization with views and indexes. Exploiting database servers within programming languages for web application development. Other topics include transaction processing and recovery, user-defined functions, and data warehousing.

    Prerequisite: CSE 031 . Normal Letter Grade only. Laboratory included.


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  • CSE 115: Discrete Mathematics


    [4.0 units]

    Covers the basic concepts of discrete mathematics used in computer science and other disciplines that involve formal reasoning. The topics include logic, proof, counting, discrete probability, relations, graphs, trees, and Boolean algebra.

    Prerequisite: Junior standing and MATH 021  and MATH 022 . Normal Letter Grade only. Laboratory included.


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  • CSE 120: Software Engineering


    [4.0 units]

    Modern engineering techniques for developing reliable, efficient, re-usable, and maintainable computer software. Primary software design models, including functional, structured, and object-oriented programming. Other topics include software validation, revision control, project management, and documentation.

    Prerequisite: CSE 111  or CSE 150  or CSE 160  or CSE 170 . Laboratory included.


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  • CSE 126: Information Systems and Service Design


    [4.0 units]

    Presents an end-to-end view of the design life cycle for information systems and services. It explains how design problems are conceived, researched, analyzed and resolved in different types of organizations and contexts, including start-ups, enterprises with legacy-systems, non-profit and government entities.

    Prerequisite: Computer Science and Engineering or Management majors only. Senior Standing. Normal Letter Grade only. Discussion included.


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  • CSE 135: Introduction to Theory of Computation


    [4.0 units]

    Understanding the inherent capabilities and limitations of computers is a fundamental question in computer science. To answer this question, we will define formal mathematical models of computation, and study their relationships with formal languages. Topics will consist of three central areas of the theory of computation: automata, computability, and complexity.
     

    Prerequisite: CSE 115  or ENGR 160 . Normal Letter Grade only. Discussion included.


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  • CSE 140: Computer Architecture


    [4.0 units]

    Fundamental concepts of digital computer design, including instruction sets, memory systems and registers, logic and mathematics units, modern CPUs and their architectural features are discussed along with the motivation for each design choice.

    Prerequisite: CSE 031 . Normal Letter Grade only. Offered fall only. Laboratory included.


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