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This course provides a basic integrative overview of how cognitive science aspires to integrate the empirical findings, theories, and methods of psychology, neuroscience, linguistics, computing science and philosophy. Prerequisite: Open to all students. Students with credit for COGS 200 may not take COGS 100 for further credit. Breadth-Hum/Social Sci/Science.

This course provides a basic integrative overview of how cognitive science aspires to integrate the empirical findings, theories, and methods of psychology, neuroscience, linguistics, computing science and philosophy. Prerequisite: Open to all students. Students with credit for COGS 200 may not take COGS 100 for further credit. Breadth-Hum/Social Sci/Science.

An introduction to major empirical methods and theoretical frameworks for exploring the mind that examines some of the foundational debates that have fueled investigations over the past fifty years. Taking an interdisciplinary approach, the course illustrates how a convergence of ideas from psychology, philosophy, linguistics, and computer science has led to deep explanations of a range of cognitive science topics. Prerequisite: COGS 100.

An elementary introduction to computing science and computer programming, suitable for students with little or no programming background. Students will learn fundamental concepts and terminology of computing science, acquire elementary skills for programming in a high-level language and be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode, data types and control structures, fundamental algorithms, computability and complexity, computer architecture, and history of computing science. Treatment is informal and programming is presented as a problem-solving tool. Prerequisite: BC Math 12 or equivalent is recommended. Students with credit for CMPT 102, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 130 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.

A rigorous introduction to computing science and computer programming, suitable for students who already have substantial programming background. Topics include: fundamental algorithms and problem solving; abstract data types and elementary data structures; basic object-oriented programming and software design; elements of empirical and theoretical algorithmics; computation and computability; specification and program correctness; and history of computing science. Prerequisite: CMPT 120. Students with credit for CMPT 125, 128, 130, 135 or higher may not take CMPT 126 for further credit. Quantitative/Breadth-Science.

A rigorous introduction to computing science and computer programming, suitable for students who already have some background in computing science and programming. Intended for students who will major in computing science or a related program. Topics include: fundamental algorithms; elements of empirical and theoretical algorithmics; abstract data types and elementary data structures; basic object-oriented programming and software design; computation and computability; specification and program correctness; and history of computing science. Prerequisite: CMPT 120. Corequisite: CMPT 127. Students with credit for CMPT 126, 129, 135 or CMPT 200 or higher may not take for further credit. Quantitative.

Builds on CMPT 120 to give a hands-on introduction to programming in C and C++, the basics of program design, essential algorithms and data structures. Guided labs teach the standard tools and students exploit these ideas to create software that works. To be taken in parallel with CMPT 125. Prerequisite: CMPT 120 or CMPT 128 or CMPT 130. Corequisite: CMPT 125.

Introduction to a variety of practical and important data structures and methods for implementation and for experimental and analytical evaluation. Topics include: stacks, queues and lists; search trees; hash tables and algorithms; efficient sorting; object-oriented programming; time and space efficiency analysis; and experimental evaluation. Prerequisite: (MACM 101 and ((CMPT 125 and 127), CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252). Quantitative.

Introduction to counting, induction, automata theory, formal reasoning, modular arithmetic. Prerequisite: BC Math 12 (or equivalent), or any of MATH 100, 150, 151, 154, 157. Quantitative/Breadth-Science.

An introduction to linguistic analysis. Breadth-Social Sciences.

Develops skills in writing in linguistics while providing a closer look at fundamental concepts of the discipline. As topics examined may vary by term, this course may be repeated once for credit if the topic is different. Prerequisite: LING 220: Introduction to Linguistics. Writing/Quantitative.

An introduction to some of the central problems of philosophy. Topics to be discussed include the different theories of reality; the nature and sources of knowledge, truth, evidence, and reason; the justification of belief and knowledge about the universe. These topics and problems will be considered as they arise in the context of issues such as: relativism versus absolutism; the existence of God; personal identity; the nature of the mind and its relation to the body; free will and determinism; the possibility of moral knowledge. Open to all students. Students with credit for PHIL 100 may not take this course for further credit. Writing/Breadth-Humanities.

The aim of this course is to familiarize students with fundamental techniques of correct reasoning. Special attention is given to the methods of logic in particular, and to their role in the discovery of truth not only within science and philosophy but within all forms of rational enquiry. Open to all students. Quantitative.

A critical overview of recent accounts of the nature and scope of human knowledge and of justified or rational belief, and of philosophical issues that these accounts are intended to address. Prerequisite: One of PHIL 100W (or equivalent), 120W (or equivalent), 121, 144, 150, 151, or COGS 100. Students who have taken PHIL 301 cannot take this course for further credit.

Acquaints the student with the major issues in contemporary psychology and considers the historical antecedents. Special attention is given to questions of methodology and research design in psychology. Topics in physiological psychology, perception, learning and motivation are considered. Breadth-Social Sciences.

Acquaints the student with major issues in contemporary psychology and considers their historical antecedents. Topics in learning, cognition, social psychology and abnormal psychology are considered. Recommended: PSYC 100 is recommended but not required. Breadth-Social Sciences.

An introduction to the procedures used in psychological research, and to the logic underlying them. Topics include the strengths and weaknesses of different approaches to research, the formulation of testable questions, the control of extraneous influences, the measurement of effects, and the drawing of valid conclusions from empirical evidence. Provides a background for senior psychology courses since it offers a basis for the critical evaluation and conduct of research. Prerequisite: PSYC 100 or 102. Students with credit for PSYC 201 may not take this course for further credit. Writing/Quantitative.

Introduction to the study of cognitive and perceptual processes. Topics include memory, perception, attention, language, mental imagery, creativity, judgment and decision-making, and an introduction to cognitive disorders such as Alzheimer's disease, dyslexia, aphasia and attention-deficit disorder. Prerequisite: PSYC 100.

Surveys the major areas in biological psychology. Topics include the basics of neuroanatomy and nerve cell function, the behavioral and physiological effects of drugs and hormones in the nervous system, evolutionary perspectives on the brain and behavior, and the biopsychology of vision, the chemical senses, hearing, movement, biological rhythms, sex, and cognitive processes. Prerequisite: PSYC 100. Recommended: BISC 101. Breadth-Science.

An interdisciplinary exploration of recent work on some special topic in cognitive science (such as vision, reasoning, connectionism, etc.). Prerequisite: 60 credits.

Explores the topic of consciousness, often called "the last great mystery of science," focusing on current scientific theories and empirical investigations from philosophy, psychology, and neuroscience. Prerequisite: COGS 100 and 200 (or permission of the instructor).

Provides a unified discussion of the fundamental approaches to the problems in artificial intelligence. The topics considered are: representational typology and search methods; game playing, heuristic programming; pattern recognition and classification; theorem-proving; question-answering systems; natural language understanding; computer vision. Prerequisite: CMPT 225 and (MACM 101 or ENSC 251 and ENSC 252)). Students with credit for CMPT 410 may not take this course for further credit.

This course provides a comprehensive study of user interface design. Topics include: goals and principles of UI design (systems engineering and human factors), historical perspective, current paradigms (widget-based, mental model, graphic design, ergonomics, metaphor, constructivist/iterative approach, and visual languages) and their evaluation, existing tools and packages (dialogue models, event-based systems, prototyping), future paradigms, and the social impact of UI. Prerequisite: CMPT 225.

Multimedia systems design, multimedia hardware and software, issues in effectively representing, processing, and retrieving multimedia data such as text, graphics, sound and music, image and video. Prerequisite: CMPT 225.

Various concepts and principles underlying the design and use of modern programming languages are considered in the context of procedural, object-oriented, functional and logic programming languages. Topics include data and control structuring constructs, facilities for modularity and data abstraction, polymorphism, syntax, and formal semantics. Prerequisite: CMPT 225, and (MACM 101 or (ENSC 251 and ENSC 252)).

This course considers modelling and programming techniques appropriate for symbolic data domains such as mathematical expressions, logical formulas, grammars and programming languages. Topics include recursive and functional programming style, grammar-based data abstraction, simplification and reduction transformations, conversions to canonical form, environment data structures and interpreters, metaprogramming, pattern matching and theorem proving. Prerequisite: CMPT 225, and (MACM 101 or ENSC 251 and ENSC 252)).

Formal and foundational issues dealing with the representation of knowledge in artificial intelligence systems are covered. Questions of semantics, incompleteness, non-monotonicity and others will be examined. As well, particular approaches, such as procedural or semantic network, may be discussed. Prerequisite: Completion of nine units in Computing Science upper division courses or, in exceptional cases, permission of the instructor.

Computational approaches to image understanding will be discussed in relation to theories about the operation of the human visual system and with respect to practical applications in robotics. Topics will include edge detection, shape from shading, stereopsis, optical flow, Fourier methods, gradient space, three-dimensional object representation and constraint satisfaction. Prerequisite: MATH 152, and nine units in Computing upper division courses or permission of the instructor.

This course examines the theoretical and applied problems of constructing and modelling systems, which aim to extract and represent the meaning of natural language sentences or of whole discourses, but drawing on contributions from the fields of linguistics, cognitive psychology, artificial intelligence and computing science. Prerequisite: Completion of nine units in Computing Science upper division courses or, in exceptional cases, permission of the instructor.

This course covers various topics in computer vision with the emphasis on the model-based approach. Main subjects include 2-D and 3-D representations, matching, constraint relaxation, model-based vision systems. State-of-the-art robot vision systems will be used extensively as study cases. The solid modelling and CAD aspects of this course should also interest students of computer graphics. Prerequisite: MATH 152 and nine units in CMPT upper division courses, or permission of the instructor.

Intelligent Systems using modern constraint programming and heuristic search methods. A survey of this rapidly advancing technology as applied to scheduling, planning, design and configuration. An introduction to constraint programming, heuristic search, constructive (backtrack) search, iterative improvement (local) search, mixed-initiative systems and combinatorial optimization. Prerequisite: CMPT 225.

Current topics in artificial intelligence depending on faculty and student interest.

An overview of theoretical principles in phonology. Prerequisite: LING 282W; or LING 221 and any lower division W course.

Introduces theories of sentence structure. Prerequisite: LING 282W; or LING 222 and any lower division W course.

Word structure in natural languages and its relationship to phonological and syntactic levels of grammar. Prerequisite: One of LING 301W, 309W or 482W.

Basic formal aspects of meaning (e.g. compositional semantics, truth conditional semantics and quantification in natural language) and how they are distinguished from pragmatic aspects of meaning. Prerequisite: LING 282W; or LING 222 and any lower division W course. Quantitative.

A survey of methods of speech sound description and transcription. Prerequisite: LING 282W; or LING 221 and any lower division W course.

Introduction to the study of language acquisition from the point of view of linguistic structure. Prerequisite: One of LING 301W, 309W or 482W. Students who have taken LING 250 may not take this course for further credit.

Formal systems and their relation to linguistic methods and theory. Topics include the mathematical properties of natural languages, and rigorously defined frameworks for linguistic analysis and their formal properties. Prerequisite: LING 322. Recommended: PHIL 210. Quantitative.

Explores language as a system of the human brain, including specific topics such as the neuroanatomy and neurophysiology of language; language production, perception and processing; bilingualism, language learning and brain plasticity; and aphasia, dyslexia, deafness and sign languages. Prerequisite: 12 units of upper division linguistic courses.

An exploration of philosophical issues concerning, e.g.: causation, time, modality, or the self; the realism/nominalism or realism/idealism debate; relativism; the concept of truth; naturalized epistemology; global epistemological skepticism or perhaps a 'local' form of skepticism such as skepticism about induction or about sensory belief. May be repeated for credit. Prerequisite: PHIL 201 or 203.

An examination of one or more topics such as: alethic modal logic, applied modal logic, classical metatheory, and non-classical logic. May be repeated for credit. Prerequisite: One of PHIL 110, 210, 310, 315, or MACM 101, or with the approval of the instructor or department.

A study of the nature of scientific enquiry, classificatory systems, laws and theories, the role of observation in science, the demarcation between science and non-science, causality, the status of theoretical constructs, and teleological explanation. Prerequisite: Either one of: PHIL 201 or 203; or both of PHIL 100W (or equivalent) and COGS 200.

A study of theories of the mind, consciousness, and human action. Prerequisite: Either one of: PHIL 201 or 203; or both of PHIL 100W (or equivalent) and COGS 200.

An introduction to the major philosophic theories of language. Topics to be considered include the relationship between language and mind, language and the world, language and society. Prerequisite: Either one of: PHIL 201 or 203; or both of PHIL 100W (or equivalent) and COGS 200.

May be repeated for credit. Prerequisite: Two 300 division PHIL courses. Writing.

May be repeated for credit. Prerequisite: Two 300 division PHIL courses. Writing.

An introduction to the study of perceptual processes with an emphasis on seeing and hearing. Topics include the perception of features, objects, motion, depth, time, visual illusions, and individual differences in perceptual ability. Prerequisite: PSYC 201 and 221 (or 335).

Examination of the phenomena of memory and the retention and reproduction of information. Considers the conditions and principles of retention and recall in short- and long-term memory. Prerequisite: PSYC 201W and PSYC 221 (or PSYC 280).

Survey the different aspects of paying attention. Topics include the effects of selective and divided attention on perceptual and cognitive function; the role of attention in human performance; attentional dysfunction and attention-deficit disorder; and the development of attentional capacity across the life span from newborns to the elderly. Prerequisite: PSYC 201 and 221.

Examines the ways in which hormones influence the nervous system, regulating essential behaviors such as eating, drinking, sex, parenting, sleep, emotional behavior and cognitive processes. Prerequisite: PSYC 201 and 280.

Examines the neurophysiological bases of cognitive and perceptual phenomena such as memory, attention, language, thinking, imagery, vision, audition, and sensory processes. The study of human cognitive performance with measurement techniques such as ERP, PET, and MRI is also discussed. Prerequisite: PSYC 201, 221, and 280.

A survey of how psychoactive drugs affect brain function to alter consciousness and behavior. Topics will include cellular effects of drugs that affect the central nervous system and discussions of the psychological and social effects of those drug-induced changes in the brain. Research on drug abuse and addictions and means of treating them will be covered. Historical, social and legal aspects of non-medical drug use will be discussed, as will the use of medications for the treatment of anxiety, depression, schizophrenia, dementias and other psychological disorders. Prerequisite: PSYC 201 and 280.

Topics such as altruism, parental care, mate choice, sex differences in behavior, aggression, dominance and territoriality are considered from an evolutionary perspective. The role of heredity and environment in the development of these behaviors is also discussed. Prerequisite: PSYC 201W: Introduction to Research Methods in Psychology.

Examines the neural processes that underlie cognitive functioning and behavior. Topics include neuroanatomy, neuropathology, brain damage, neurological diseases (e.g., schizophrenia, Alzheimer's, Parkinson's), and problems in spatial ability, memory, language, mood and anxiety. Prerequisite: PSYC 201, 221, and 280.

Behavior and physiology are regulated by biological clocks, which function to synchronize the organism optimally with its environment. In this course we examine the adaptive role of clocks in animal behavior, the neural and endocrine mechanisms of daily, monthly and yearly rhythms, and the relevance of clocks, rhythms and sleep to human performance and psychopathology. We will also consider the mechanisms and functions of sleep states. Prerequisite: PSYC 201 and 280.

Explores the psychology and neuroscience of the related concepts of emotion and motivation by conducting a contemporary survey of the key psychology and behavioral studies carried out in the burgeoning area of affective science. Prerequisite: PSYC 201. Students with credit for PSYC 391 Emotion and Motivation may not take PSYC 389 for further credit.

Independent readings in a selected field of cognitive science study culminating in a written report. To register, a student must (i) have prior written agreement from a Cognitive Science Program Faculty Member or Associate Member who will act as a research supervisor, and (ii) permission of the Director. Prerequisite: COGS 200, 60 units, and permission of the Director.

Directed study aimed at gaining knowledge and practical experience in designing, conducting, analyzing, and documenting cognitive science research. To register, a student must (i) have prior written agreement from a Cognitive Science Program Faculty Member or Associate Member who will act as a research supervisor; and (ii) permission of the Director. Prerequisite: COGS 200, 60 units, and permission of the Director.

Directed Study aimed at gaining knowledge and practical experience in designing, conducting, analyzing, and documenting cognitive science research. To register, a student must (i) have prior written agreement from a Cognitive Science Program Faculty Member or Associate Member who will act as a research supervisor; and (ii) permission of the Director. Prerequisite: COGS 380 and permission of the Director.

Directed study aimed at gaining knowledge and practical experience in designing, conducting, analyzing, and documenting cognitive science research. To register, a student must (i) have prior written agreement from a Cognitive Science Program Faculty Memeber or Associate Member who will act as a research supervisor; and (ii) permission of the Director. Prerequisite: COGS 381 and permission of the Director.