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, e.g. Python. The students will be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode; data types and control structures; fundamental algorithms; recursion; reading and writing files; measuring performance of algorithms; debugging tools; basic terminal navigation using shell commands. 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 some background in computing science and programming. Intended for students who will major in computing science or a related program. Topics include: memory management; fundamental algorithms; formally analyzing the running time of algorithms; abstract data types and elementary data structures; object-oriented programming and software design; specification and program correctness; reading and writing files; debugging tools; shell commands. Prerequisite: CMPT 120 or CMPT 130, with a minimum grade of C-. Students with credit for CMPT 126, 129, 135 or CMPT 200 or higher may not take this course for further credit. Quantitative.

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, CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252), all with a minimum grade of C-. Quantitative.

Introduction to graph theory, trees, 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.

Explores how language works. Introduces students to the systematic nature of language by exploring the patterns of sounds, words, sentences and meanings in English and other languages. Develops problem-solving and critical thinking skills through hands-on training in pattern recognition and language data analysis. Open to all students. Breadth-Social Sciences.

Develops skills in language analysis by focusing on reading and writing of linguistic argumentation. Explores the foundations of such argumentation in the core areas of linguistics. Students read and discuss primary literature in linguistics in order to understand how to formulate hypotheses and evaluate them. They also learn how to use writing to construct their own solutions to challenging linguistic problems. Prerequisite: LING 220. 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 or PHIL 300 may not take this course for further credit. Writing/Breadth-Humanities.

An introduction to the theory of deductive reasoning. We consider deductive arguments in philosophy, in everyday life, and in mathematical proofs, and discuss what distinguishes valid inferences from fallacies. The course will cover propositional logic and first-order logic. 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 100, 100W, 120, 120W, 121, 144, 150, 151, 300, or COGS 100. Students who have taken PHIL 301 cannot take this course for further credit.

An examination of central problems of metaphysics such as space and time, universals and particulars, substance, identity and individuation and personal identity. Prerequisite: One of PHIL 100, 100W, 120, 120W, 121, 144, 150, 151, 300, or COGS 100.

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 behavioural and physiological effects of drugs and hormones in the nervous system, evolutionary perspectives on the brain and behaviour, 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).

A survey of formal methods used in philosophy, cognitive science, linguistics and related disciplines. Topics will include some of the following: prepositional logic, predicate logic, formal syntax, formal semantics, the probability calculus, decision theory, game theory and formal causal modeling. Prerequisite: One of: PHIL 110, 210, 310, 314, MACM 101, BUEC 232 or STAT 270. Students with credit for PHIL 315 may not take this course for further credit.

A survey of modern approaches for artificial intelligence (AI). Provides an introduction to a variety of AI topics and prepares students for upper-level courses. Topics include: problem solving with search; adversarial game playing; probability and Bayesian networks; machine learning; and applications such as robotics, visual computing and natural language. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.

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 with a minimum grade of C-.

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 with a minimum grade of C-.

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)), all with a minimum grade of C-.

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)), all with a minimum grade of C-.

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 and video understanding in relation to theories, the operation of the human visual system, and practical application areas such as robotics. Topics include image classification, object detection, image segmentation based mostly on deep neural network and to some extent classical techniques, and 3D reconstruction. Also covers state-of-the-art deep neural architectures for computer vision applications, such as metric learning, generative adversarial networks, and recurrent neural networks. Prerequisite: CMPT 361 and MATH 152, both with a minimum grade of C-.

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 with a minimum grade of C-.

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

Explores how language works in human cognition. Investigates how people produce and understand language (whether written, spoken or signed). Uses evidence from the production and comprehension of speech sounds, words, and sentences to introduce psychological and cognitive systems for human language. Prerequisite: LING 220.

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: LING 282W.

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: LING 282W.

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 advanced introduction to the logical techniques and concepts required for the construction of proofs, including the fundamental principles of set theory and concepts such as set, relation, function, sequence, orderings and others. Prerequisite: One of PHIL 110, 210, 314, 315, or MACM 101; or a minimum of 12 units in MATH. Quantitative.

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 100, 100W, or 300, and COGS 200.

A study of theories of the mind, consciousness, and human action. Students may repeat this course for further credit under a different topic. Prerequisite: Either one of: PHIL 201 or 203; or both of PHIL 100, 100W, or 300, 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. Students may repeat this course for further credit under a different topic. Prerequisite: Either one of: PHIL 201 or 203; or both of PHIL 100, 100W, or 300, 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).

Explores the leading theories and underlying neurobiology of learning and memory, with a focus on behavioural neuroscience and neuroimaging research. Connects experimental insights to the human experience and clinical disorders that affect memory. Prerequisite: PSYC 201W and 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 behaviours such as eating, drinking, sex, parenting, sleep, emotional behaviour 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 behaviour. 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 behaviour, aggression, dominance and territoriality are considered from an evolutionary perspective. The role of heredity and environment in the development of these behaviours is also discussed. Prerequisite: PSYC 201W.

Behaviour 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 behaviour, 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.

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.