丁香园AV

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.

A rigorous introduction to computing science and computer programming, suitable for students who already have substantial programming background. This course provides a condensed version of the two-course sequence of CMPT 120/125, with the primary focus on computing science and object oriented programming. 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: BC Math 12 (or equivalent, or any of MATH 100, 150, 151, 154, or 157). Students with credit for CMPT 120, 125, 128, 130, 135 or higher may not take CMPT 126 for further credit. Quantitative/Breadth-Science.

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. Students should consult with the self-evaluation on the School of Computing Science website to decide whether they should follow the CMPT 120/125 course sequence or enrol in CMPT 126. Prerequisite: BC Math 12 or equivalent is recommended. Students with credit for CMPT 102, 125, 126, 128 or CMPT 200 or higher may not take this course for further credit. Quantitative/Breadth-Science.

A rigorous introduction to computing science and computer programming, suitable for students who already have some backgrounds 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: BC Math 12 (or equivalent, or any of MATH 100, 150, 151, 154, or 157) and CMPT 120. Students with credit for CMPT 126, 128, 135 or CMPT 200 or higher may not take for further credit. 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.

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.

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. Students with credit for PSYC 101 may not take PSYC 100 for further credit. Breadth-Social Sciences. 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. Students with credit for PSYC 101 may not take PSYC 102 for further credit. Breadth-Social Sciences. Breadth-Social Sciences.

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. Students who have taken COGS 200 before 1998 may take this course for further credit.

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 one of CMPT 125, 126 or 128; or CMPT 128 and approval as a Biomedical Engineering Major. Students with credit for CMPT 201 may not take this course for further credit. Quantitative.

The principles of phonetic and phonological analysis. Prerequisite: LING 220.

The principles of syntactic analysis. Prerequisite: LING 220.

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, 144, 150, or 151, or COGS 100. Students who have taken PHIL 301 cannot take this course for further credit.

This course studies a natural deductive system of propositional and quantificational logic, the first-order theory of identity and the first-order theory of relations. Topics include the metatheory of propositional logic and the application of formal theory to the assessment of natural language arguments. Quantitative.

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 (or PSYC 101). See the Letters of Permission section within the undergraduate Department of Psychology. 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 (or PSYC 101). Students with credit for PSYC 320 may not take PSYC 221 for further credit.

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 (or 101). 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: Lower division cognitive science course requirements. Students with credit for COGS 400 may not take COGS 300 for further credit.

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).

This course covers the key components of a compiler for a high level programming language. Topics include lexical analysis, parsing, type checking, code generation and optimization. Students will work in teams to design and implement an actual compiler making use of tools such as lex and yacc. Prerequisite: MACM 201, (CMPT 150 or ENSC 215) and 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, MACM 101.

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; MACM 101.

Languages, grammars, automata and their applications to natural and formal language processing. Prerequisite: MACM 201. Quantitative.

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. Students with credit for CMPT 410 may not take this course for further credit.

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 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.

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.

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.

Computationally-oriented theories of human cognitive architecture are explored, beginning with neurologically inspired (neural network) models of "low-level" brain processes, and progressing upwards to higher-level symbolic processing, of the kind that occurs in rule-following and problem solving. Arguments concerning the need for modular processing and combinatorially adequate forms of mental representation are examined at length. Prerequisite: CMPT 225. Recommended: CMPT 310.

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

An overview of theoretical principles in phonology. Prerequisite: LING 221.

The study of sentence structure in language through a survey of constructions found in natural language data together with a consideration of syntactic theory. Prerequisite: LING 222.

Word structure in natural languages and its relationship to phonological and syntactic levels of grammar. Prerequisite: LING 221, 222; or 310.

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 222. Quantitative.

A survey of methods of speech sound description and transcription. Prerequisite: LING 221.

Introduction to the study of language acquisition from the point of view of linguistic structure. Prerequisite: LING 220, 221; or 310. 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.

Investigation of a selected area of linguistic research. Prerequisite: Requirements will vary according to the topic offered.

Investigation of a selected area of linguistic research. Prerequisite: Requirements will vary according to the topic offered.

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. Prerequisite: PHIL 201 or 203.

An examination of one or more topics such as: philosophical logic; deontic logic; the logic of knowledge and belief; the logic of preference; tense logics; foundations of set theory; recursive functions; the history of logic. Prerequisite: PHIL 210, 214, or an otherwise suitable background.

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: PHIL 100; PHIL 210 or 214; and one of PHIL 201 or 203, or COGS 200.

A study of theories of the mind, consciousness, and human action. Prerequisite: PHIL 100; and one of PHIL 201 or 203, or 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: PHIL 100; and one of PHIL 201 or 203, or COGS 200.

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 one of 221 (or 320) 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 320).

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 (or 320).

Examines the properties of the visual, auditory, olfactory, gustatory, and kinesthetic systems and receptor mechanisms with a strong emphasis on physiology. Topics include psychophysical measurement of sensations, cross-modal organization and computational modeling of sensory processes, and the interface between sensory and perceptual processes. Prerequisite: PSYC 201, 221, and one of 280 or 303.

Examines research and theory concerning the origins and development of cognition in humans. Traces the development of language and children's thinking about the physical and social world from birth to adulthood, with a focus on infancy and childhood. Prerequisite: PSYC 201 and 250 (or 350 or 351).

Provides an overview of the social psychological study of intergroup relations, considering classic and contemporary theory and research in the field. It includes discussions of the application of these ideas and findings to important social contexts, and explores ways in which the social psychological study of intergroup relations can help us understand and inform efforts to influence relevant social change. Prerequisite: PSYC 201 and 260 (or 360).

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.

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.

An in-depth investigation of a topic in Cognitive Science culminating in a critical literature review and the formulation of a research proposal. Prerequisite: Approval of cognitive science steering committee after student has completed a cognitive science major and at least two courses specified under honors in the program calendar entry.

The research proposed in COGS 490 is executed, culminating in the completion of a substantive piece of research. Prerequisite: Approval of Cognitive Science steering committee either when student has completed COGS 490 or when student is taking COGS 490.

This course covers the key components of a compiler for a high level programming language. Topics include lexical analysis, parsing, type checking, code generation and optimization. Students will work in teams to design and implement an actual compiler making use of tools such as lex and yacc. Prerequisite: MACM 201, (CMPT 150 or ENSC 215) and 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, MACM 101.

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; MACM 101.

Languages, grammars, automata and their applications to natural and formal language processing. Prerequisite: MACM 201. Quantitative.

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. Students with credit for CMPT 410 may not take this course for further credit.

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 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.

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.

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.

Computationally-oriented theories of human cognitive architecture are explored, beginning with neurologically inspired (neural network) models of "low-level" brain processes, and progressing upwards to higher-level symbolic processing, of the kind that occurs in rule-following and problem solving. Arguments concerning the need for modular processing and combinatorially adequate forms of mental representation are examined at length. Prerequisite: CMPT 225. Recommended: CMPT 310.

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

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.

Advanced training in speech sound description and analysis in the impressionistic and instrumental modes. Prerequisite: LING 330.

Investigation of a selected area of linguistic research. Prerequisite: Requirements will vary according to the topic offered.

Investigation of a selected area of linguistic research. Prerequisite: Requirements will vary according to the topic offered.

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. Prerequisite: PHIL 201 or 203.

An examination of one or more topics such as: philosophical logic; deontic logic; the logic of knowledge and belief; the logic of preference; tense logics; foundations of set theory; recursive functions; the history of logic. Prerequisite: PHIL 210, 214, or an otherwise suitable background.

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: PHIL 100; PHIL 210 or 214; and one of PHIL 201 or 203, or COGS 200.

A study of theories of the mind, consciousness, and human action. Prerequisite: PHIL 100; and one of PHIL 201 or 203, or 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: PHIL 100; and one of PHIL 201 or 203, or COGS 200.

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 one of 221 (or 320) or 335.

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 (or 320).

Prerequisite: PSYC 201, 210, 221 (or 320), 280, 60 units, and a CGPA of 3.0.

Prerequisite: PSYC 201, 210, 221 (or 320), 280, and 60 units, and a CGPA of 3.0.

Prerequisite: PSYC 201, 210, 221, 280, 60 units, and and a CGPA of 3.0.

Prerequisite: PSYC 201, 210, 221, 280, 60 units, and a CGPA of 3.0.

An in-depth investigation of a topic in Cognitive Science culminating in a critical literature review and the formulation of a research proposal. Prerequisite: Approval of cognitive science steering committee after student has completed a cognitive science major and at least two courses specified under honors in the program calendar entry.

The research proposed in COGS 490 is executed, culminating in the completion of a substantive piece of research. Prerequisite: Approval of Cognitive Science steering committee either when student has completed COGS 490 or when student is taking COGS 490.