COGNITIVE
SCIENCE
For a non-technical introduction see:
Pinker, S. (1997) How the Mind Works, London, Norton & Co.
Gardner, H. (1985) The Mind's New Science: a history of the
cognitive revolution, New York, Basic Books.
Cognitive Science at the University of Queensland is an interdisciplinary program of study that would be of interest to students in Computer Science, Linguistics, Philosophy and Psychology. It is composed of existing subjects in these four disciplines, plus core Cognitive Science subjects. The course is taken as part of the B.Sc., B.A. or B.Inf.Tech. degree. The philosophy behind the program is to encourage students to take subjects from each of the component disciplines during the first three years. Students who start the program early in their course will be able to continue either with the constituent disciplines of the course as major subjects, or with Cognitive Science proper. Students from engineering, information technology, commerce, anatomy, neuroscience and other areas may take the cognitive science subjects, ICxxx, as electives to gain an introduction to the area without completing the whole program.
The aim in all subjects will be to give students practical experience in analysing, modelling and experimenting on cognitive phenomena. Students will learn the theory of a particular cognitive process, how to analyse specific examples of the process, gain experience in manipulating parameters of computational models of the process and how to design, conduct, analyse and interpret experiments investigating aspects of that process. This work will entail input from each of the relevant disciplines. For example a language comprehension topic would involve input from Linguistics, which would provide the underlying theory, Psychology which would define the psychological mechanisms subserving the process, and Computer Science which provides computational models of the process.
NOTES:
For further details and advice, students should contact the Honours Adviser.
To obtain psychology registration after completion of the joint Honours degree in Psychology/Cognitive Science special conditions apply - see the next section and consult the Joint Psychology-Cognitive Science Honours Advisor. For all other joint Honours see the Honours co-ordinators of the departments involved.
For further details and advice, students should contact the
Cognitive Science Honours Adviser.
To undertake Joint Psychology-Cognitive Science Honours students must complete the undergraduate course of study listed below, and then apply for entry to the Honours Program in Psychology. If accepted, students then complete the fourth year course of study.
For further details and advice, students should contact the Joint Psychology-Cognitive Science Honours Advisor.
IC401 has a seminar format, with discussion, presentation and a report. The objective is to link material from the other subjects of the Graduate Certificate.
No. It will be #50 which will allow you to take subjects required as pre-requisites, but you will need to satisfy the criteria for honours directly. This will depend on what background in the component disciplines you already have. If you are intending to do honours, you can enrol in a BA initially then jump directly to honours when the pre-requisites have been completed.
Will the Graduate Certificate be a sufficient pre-requisite for the honours course in Psychology?
Again the answer is no. You must complete the pre-requisites for honours in psychology.
Is it optional which half of the year one takes the course in?
To complete the course in one semester, you have to take IC401 which is only offered in semester one. You could, however, start in semester two and complete the following semester, part-time.
Enquiries should be directed to the Graduate Certificate Advisor.
Students experiencing difficulties with subject selection or any other academic matter are encouraged to seek the assistance of an academic adviser. Please remember that problems are always easier to resolve if you raise them with us as soon as possible - do not leave them until the end of the semester.
Key:
#: Credit point value
LTP: Lectures, Tutorial, Practical (hours per week)
1st/2nd: Semester offered
Pre: Prerequisite - a subject which must be passed or a requirement which must be fulfilled before enrolment in a given subject is permitted.
Comp: Companion - a subject which must either have been passed or in which the student must be concurrently enrolled, in order for enrolment in a specified subject to be permitted.
Inc: Incompatible - credit is not given for a subject if credit has been obtained for any subject listed as incompatible.
P: Recommended Prerequisite
C: Recommended Companion
(Prof. Graham Priest)
Sem. 1: Lecture Wed 4-6; Tutorial to be determined
Aims: To provide the student with an introduction to basic issues, concepts and terminology of Cognitive Science. This will be done by looking at the history of the study of the mind, particularly the recent history. Technical material will be introduced along the way. Students can expect to learn relevant basic material in cognitive psychology, neuroanatomy, the theory of computation, artificial intelligence, linguistics and philosophy, together with some of the ways that these all fit together.
Assessment: To be advised.Text: H. Gardner, The Mind's New Science , Basic Books, 1983.
(Dr Janet Wiles)
Sem 1: Mon 4-6, Wed 4-6
Aims: To introduce the basic issues, concepts and terminology of architecture of the mind, from neurons to systems. It provides an overview of the classical computational approach, including perception, central and motor systems, from the perspect ives of both cognitive pychology and artificial intelligence, and also looks at connectionist and evolutionary theories.
Assessment: exam (%60); on-course (%40).
Text: Stillings, N., et al, Cognitive Science: An Introduction, MIT Press, 1987.
Recommended Reading: Pinker, S., How the Mind Works, Norton & Co. 1997.
(Dr Janet Wiles)
Sem 2: Lecture Thu 4-6, Laboratory Tue 2-4 or Wed 2-4
Aims: Introduction to basic principles and issues related to computational modelling of cognitive, perceptual and linguistic processes in cognitive science. Introduction to neural networks and other modelling frameworks, significance of neural networks for cognitive science; computer laboratory experience with simulators.
Assessment: One final examination 60%, Course assessment 40%.
Text: to be announced
(Dr John Ingram, Dr Helen Chenery)
Sem1: Tues 2-4, Thurs 2-4
Aim: To provide an interdisciplinary treatment of topics in the perception, comprehension and production of spoken language. The emphasis will be on gaining a critical appreciation of the methods and models that have been used to improve our understanding of the cognitive (and ultimately neural) mechanisms underpinning language processing. Course topics will include speech perception and production, lexical access, syntactic and semantic processing, in normal and language disordered individuals. Students will be introduced to a range of psycholinguistic methods for investigating speech and language competencies.
Assessment: Mid-semester test, short paper, class presentation and term paper.
References: Gleitman L.R. and Liberman M. (Eds.). (1995). An Invitation to Cognitive Science LANGUAGE Volume 1, MIT Press Cambridge Mass. 2nd Edition.
Trends in Cognitive Sciences (A Journal held in SS&H Library BF311.T73)
(Prof Graeme Halford, Dr Simon Dennis)
Sem2: Mon 4-6, Wed 4-6
Aim: This subject will examine topics in inductive and deductive validity, fallacies, reasoning processes, the role of learning and memory in reasoning and formal models of reasoning. These topics will be approached from the point of view of case studies of human reasoning and problem solving, issues in epistemology and reasoning as adaption to the environment.
Assessment: One final examination 50%, two practical reports on projects combining material from two contributing disciplines 25% each.
Texts: Readings will be advised as required.
CS181 Introduction to Software Engineering #12 1st or 2nd
Overview of software engineering; the software development process; principles
of abstraction, information hiding and software components; exposure to
high-level programming for practical experience with concepts introduced in the subject; principles of object orientation; objects, classes and inheritance.
CS182 Introduction to Information Systems #12 2nd
Introduction to information systems concepts, relational database systems,
querying simple databases, data analysis and design, building a simple
information system based on current relational technology.
CS192 Computer and Internet Skills #6 1st or 2nd
Familiarity with the computer as a tool; use of wordprocessor, simple database, spreadsheets, drawing package; intergration of these skills. Internet
application services - telnet, ftp, email, WWW, Gopher, other resource discovery tools. WWW publishing. Introduction to Local Area Network services.
CS193 Information Access and Communications #12 2nd
Familiarity with computer as tool; use of wordprocessor, simple database,
spreadsheets, drawing package; integration of these skills. Internet
application services - telnet, ftp. Email, WWW, Gopher, other resource
discovery tools. WWW publishing. Development of analytical writing & argument - emphasis on writing, speaking & reading practice.
CS263 Software Specification #12 1st
Motivation for precise software specification; use of logic & set theory as modelling tools; introduction to a formal specification notation; validation of specifications. Formal languages: regular & context-free grammars, automata & fintie state machine
s.
CS272 Introduction to Information Science #12 1st
Fundamentals of representation of & access to information in large information spaces: text retrieval, indexing, classification, hypertext, issues in the World Wide Web & cyberspace, resource discovery, electronic publishing.
CS280 Software Engineering IIA #12 1st
Program & data structures: interfaces & classes, abstract data types, inheritance, polymorphism, recursion & iteration, exception handling. System architectures & run-time models. Operating system concepts: command shells, file systems, shared resources
.
CS282 Algorithms & Data Structures #12 2nd
Data structures & types, mapping of abstract information structures into
representations on primary & secondary storage. Analysis of time & space
complexity of algorithms. Sequences. Lists. Stacks. Queues. Sets,
multisets, tables. Trees. Sorting. Hash tables. Priority queues. Graphs.
String algorithms.
CS304 The Software Process #10 1st
Software lifecycle as an industrial process, definable, manageable & repeatable.
Requirements, specification, rapid prototyping, design, implementation, use &
maintenance.
CS327 Models of Programming & Computation #12 2nd
Comparison of models of computation with emphasis on software development.
Applicative/functional vs logic vs procedural programming. Implementation:
reduction vs inference vs von Neumann machines. Relative merits: extensibility,
vs verifiability vs efficiency.
CS344 Human Computer Interaction #12 1st
Models & methods of interaction, practical use of interface systems, user
considerations, visual presentation, design principles, interface
design methods, implementation issues, evaluation. Broader topics may
include: societal considerations, groupware, multimedia, media
perspectives.
CS346 Principles of Artificial Intelligence #10 2nd
Search methods, knowledge representation techniques, game playing,
logic, expert systems, production systems, planning, natural language
understanding, vision and robotic systems, learning, connectionist
models.
CS363 Algorithm Analysis and Design #10 1st
Analysis of algorithms. Solution of summation & recurrence equations. Algorithm paradigms: diveide-&-conquer, greedy, dynamic programming, backtracking, branch-&-bound. Example algorithm development & analyses. Graph algorithms.
Programming - CS229, CS283
Databases - CS271, CS273, CS319, CS347
Operating Systems & Networks - CS233, CS303, CS306, CS336
Software Verification - CS362
Compilers & Languages - CS324
Projects - CS384, CS385, CS386, CS398
EL102 Language Competence and Language Variation #10 2nd
Further study of basic concepts in descriptive linguistics and sociolinguistics, with English as main language of exemplification.
EL201 Speech Production and Perception #10 NOT 2000 Introduction to general linguistics: no previous knowledge of subject is assumed. Investigation, with main emphasis on English, of structure of language & of language varieties.
EL203 Phonology #10 2nd
The subject aims to provide an understanding of classical concepts and
techniques of phonological analysis and an introduction to current
phonological theory. Phonology deals with the sound patterns of languages.
It is relevant for study of first or second language acquisition,
phonological disabilities, variation in speech, or how and why the sound
structures of languages change over time.
EL210 Generative Grammar #10 2nd
Introduction to generative grammar; main focus on theories of Noam
Chomsky
and their application to English.
EL211 Introduction to Linguistic Semantics #10 2nd
Provides an introduction to the study of meaning within the framework
of
generative grammar. Topics include: different types of meaning;
entailment, implicature and presupposition; reference and predication;
lexical semantics; word meaning; cross-linguistic lexicalization patterns;
semantics-syntax interface, properties of lexical organization and models
of lexical semantic representation.
EL217 Cognitive Grammar #10 1st
The aim of this subject is to familiarise students with recent work in
cognitive grammar and to enable them to apply the methodology of this
theory to linguistic data. More generally, the aim is to discover what
linguistic structure tells us about the mind.
EL219 The Language Instinct #10 NOT 2000
This subject documents the case for an innate linguistic faculty or
"language instinct". The major emphasis is on child language acquisition
with a concentration on insights gained by cross-linguistic studies.
EL306 Special Linguistics Research Topic A #10 1st or 2nd
No prescribed syllabus or formal teaching. In consultation with Dr Ingram or Assoc. Prof. Lee, students choose topic or topics to be studied under direction of supervisor.
EL307 Special Linguistics Research Topic B #10 1st or 2nd
No prescribed syllabus or formal teaching. In consultation with Dr
Ingram or Assoc. Prof. Lee, students choose topic or topics to be studied under
direction of supervisor.
MS240 Analysis of Biological Data & Experiments #12 1st or 2nd
Methods of analysis for biological data & principles of design of experiments
in biology. Introduction to concepts of variability & randomness; statistical
methods for biological scientists, including regression, analysis of variance
& categorical data analysis.
MT161 Discrete Mathematics #12 1st (Ipswich 2nd)
Truth tables & propositional logic. Predicates & quantifiers.
Elementary set theory. Relations (including graphs) & functions.
Recursive definitions. Induction & natural numbers.
PD102 Introduction to Logic #10 2nd
Study of formalisms of classical propositional & predicate calculus, using
semantic & proof-theoretic techniques for testing provability, validity &
logical truth.
PD200 Epistemology & Metaphysics #10 1st
Introduction to basic problems in the theory of knowledge and metaphysics, that
is, questions about the nature of what exists, and how you know.
PD201 Representation & Reality: The Philosophy of Language #10 2nd
Offered in even numbered years only.
The nature of language and it's relationship to thought and reality.
PD203 Thinking about Logic: An Introduction to Philosophical Issues in Logic
#10 1st
Offered in even numbered years only.
Philosophical issues arising in relation to modern logic, including: argument
validity, truth-functionality, conditionals, quantification, necessity & the
notion of a logical constant.
PD205 Consciousness, Rationality & the Emotions: The Philosophy of Mind #10
NOT 2000
Offered in odd numbered years only.
Classical and contempory problems in philosophy of mind such as nature of
consciousness, relationship of mind, bodies & machines, & representationality & rationality of emotions.
PD210 Applied & Modal Logic II #10 NOT 2000
Offered in odd numbered years only.
Extensions & rivals to (classical) logic of PD102. Modal logic &
some of: intuitionism, formal dialectic, recursion & relevant,
deontic, dynamic & fuzzy logics. Formal details & philosophical
adequacies of constructions.
PD216 Philosophy of Science #10 2nd
Offered in even numbered years only.
What is scientific knowledge & scientific understanding? How are competing
theories evaluated & are such evaluations reasonable?
PD296 Business & Professional Ethics #10 2nd
Examination of ethical issues arising from employment in government,
semi-government corporations, private firms & professional practice. Topics
include: "social responsibilities" & the free market; stakeholder theory;
conflicts of interest, insider trading, whistle-blowing; privacy; sexual
harassment; morality of deception & bluffing; employee rights.
PY130 Introduction to Psychology: Developmental, Social & Clinical Psychology #10 1st or 2nd
Introduction to scientific perspectivs on individual & group processes.
Research & theory in developmental, personality, clinical, social,
organisational & sport psychology.
PY135 Psychological Research Methodology 1 #10 1st or 2nd
Introduction to the theory and practice of research and report writing in
psychology, science and scientific method, research methodology, techniques and
designs, reliability and validity, data collection and analysis.
PY272 Psychological Research Methodology 2 #10 1st or 2nd
The objective of the subject is to provide students with a comprehensive
overview of the theory and practise of research methodology, data analysis and
report writing in psychology.
PY290 Neuroscience for Psychologists #10 1st or 2nd
Aims to extend and deepen information given in PY120. Application of results to the understanding of human perception, memory, language, motivation will be
stressed.
PY291 Child Development #10 1st or 2nd
This is a broad survey subject on theory and research in developmental
psychology. Emphasis will be placed on experimental approaches to studying
children's behaviour and on basic research issues in four general areas: infant, language, cognitive and social development.
PY293 Learning & Cognition #10 1st or 2nd
Basic concepts in human learning & cognition. Lectures complemented by a
sequence of practicals that require active participation & provide an
opportunity for acquisition & application of skills.
PY317 Judgement & Decision Making #10 2nd
Psychological research on decision making dealing with theories
of decision making as well as practical work in such areas as
medicine, criminal justice, conflict, business, marketing &
military.
PY331 Skills & Human Factors #10 2nd
General nature of human skills & aspects of motivation in
human problems associated therewith, e.g. designing machinery,
optimising work & living environments, improving road safety.
PY334 Language Development #10 2nd
Research in language acquisition. Although all major aspects of
language acquisition are covered, particular attention is given
to phonological & grammatical development. Lectures & practicals
will include some introductory linguistics.
PY357 Basic Processes in Cognition #10 1st
Discussion of fundamental issues in cognitive psychology including serial versus parallel processing, automaticity & preconscious processing. Training in
typical laboratory paradigms involving accuracy & latency measures of task
performance.
PY359 Reading: Development & Difficulties #10 1st
Introduction to theory & research examining cognitive psychology of reading
skills & disabilities, approached from developmental viewpoint, with strong
emphasis on word recognition processes.
PY364 Perception & Attention #10 1st
Method and theory in perception & attention including visual
illusions, search, vigilance & related topics.
PY370 Psychological Research Methodology 3 #10 1st or 2nd
Examines psychological research designs involving multiple independent
variables, interpretational issues with these designs & appropriate analysis
techniques, for example, factional analysis of variance & multiple regression. Students gain experience using computer-based data-analytic procedures.
PY372 Behavioural Neuroscience: Learning & Emotion #10 2nd
Neuroscientific approaches to attention & emotion. Emphasis on application in
relation to psychopathology. Topics include: formal models of habituation &
learning, neuroscience of emotion, attentional bias & preparedness.
* Some departments have strict formal requirements. However, prerequisite subjects for IC honours students can be negotiated with the individual lecturer and the IC honours coordinator.
(Dr Janet Wiles)
Year: Wednesdays 1-2pm
Aim: To facilitate an in depth research project on the part of the student at the honours level. Research topics in Cognitive Science will be discussed in class and the student will pursue a research project under the supervision of staff from contributing disciplines. By the end of the first semester students will have chosen a project on which to work. The project is completed and presented to the seminar by the end of the second semester.
Text: There is no set text. Reading will be advised as required.
(A/Prof Janet Wiles)
Sem 1: Tues 11-1pm, Wed 11-1pm 78-621
Sem 1&2: Wed 11-1pm 78-621
Aim: Introduction to Artificial Neural Networks: including a review of the literature and introduction to simulation techniques. The course involves practical and theoretical assignments and an in depth simulation project.
Assessment: Assignments 20%, project 50% and exam 30%.
Texts: Readings will be advised as required.
(A/Prof Janet Wiles)
Sem 1: Tues 11-1pm, Wed 11-1pm 78-621
Sem 1&2: Wed 11-1pm 78-621
Aim: Introduction to advanced topics in artificial neural networks, evolutionary computing and cognitive modelling. The subject involves practical and theoretical case studies and an in depth simulation project.
Assessment: 100% on course assessment
Texts: Readings will be advised as required.
CS445 Cognitive Computing #20 Year
Study the design & analysis of
connectionist models (neural networks) as computing
devices & as models of human cognitive processes.
CS493 Human-Computer Interface #20 Year
Selected topics from research into the human-computer interface,
including cognitive factors, task analysis, design strategies,
evaluation; technology, workstations, I/O modalities, toolkits,
animation, multi-media, virtual reality, visualisation; implementation
architectures, client server approaches, user interface management
systems, open distributed processing environments; HCI-rich applications;
hypermedia, computer-supported cooperative work, tutoring systems.
EL413 Advanced Topics in Morphology #10 1st
EL415 Advanced Topics in Phonology #10 2nd
EL417 Advanced Topics in Semantics #10 2nd
EL419 Advanced Topics in Syntax #10 2nd
EL428 Advanced Research Topic A #10 1st or 2nd
EL429 Advanced Research Topic B #10 1st or 2nd
PD412 Honours Logic #20 Year (May also commence 2nd Semester)
PD420 Special Paper #20 Year (May also commence 2nd Semester)
PY424 Cognitive Science - Psychology Thesis #40 Year
Production of a thesis on topic relevant to both Cognitive Science & Psychology, supervised or co-supervised by member of the Psychology Department. Student attend research seminars as for IC400.
PY447 Neuropsychology #10 2nd
Introduces students to brain-behaviour relations in humans with particular
emphasis on research basis of assessment methods.
PY460 Reading Course 1 #10 1st or 2nd
Pre: permission of the Deputy Head of Psychology
Independent study under direction of relevant member of staff. For details consult course coordinator. Designed to allow students to thoroughly review one area of interest in psychologu & to competently report their work.
PY469 Processes of Cognitive Development #10 1st
Analysis of processes of cognitive development especially factors determining concepts children can understand, knowledge they acquire, & skills & strategies they develop.
(Prof. Graham Priest)
See coordinator for timetable
To integrate content for the contributing Cognitive Science disciplines through discussion, seminar presentation, and written reports.
Assessment: Class participation 20%, One seminar presentation 30%, One written paper 50%
Reference: A. Collins & E. Smith (eds.) (1988). Readings in Cognitive Science: a perspective from psychology and artificial intelligence. San Mateo, Calif. : Morgan Kaufmann Publishers
(A/Prof Janet Wiles)
Interdisciplinary seminar program with individual project by each student.
Program Director: A/Prof Janet Wiles
email: janet@psy.uq.edu.au, phone: +61 7 3365 2902, fax: +61 7 3365 4999
Honours: A/Prof Janet Wiles
email: janet@psy.uq.edu.au, phone: +61 7 3365 2902, fax: +61 7 3365 4999
Joint Psych/IC Honours: A/Prof Janet Wiles
email: janet@psy.uq.edu.au, phone: +61 7 3365 2902, fax: +61 7 3365 4999
Graduate Certificate: A/Prof Janet Wiles
email: janet@psy.uq.edu.au, phone: +61 7 3365 2902, fax: +61 7 3365 4999
Webmaster: Scott Bolland
email: scottb@csee.uq.edu.au, phone: +61 7 3365 1157, fax: +61 7 3365 4999
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Dr Helen Chenery email: h.chenery@mailbox.uq.edu.au tel. 3365-1609 Psycholinguistic investigations of neurogenic language impairment, aphasia, dementia.
Dr Simon Dennis
Prof Graeme Halford (Joint Psych/IC Honours Advisor)
Prof Michael Humphreys (Graduate Certificate Advisor)
Dr Dominic Hyde
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Dr John Ingram email: jingram@lingua.cltr.uq.edu.au tel. 3365-2570 Speech perception, speech production, speaker recognition, connected speech processes, sound change in second language learning, speech & language disorders.
Dr Gary Malinas
Prof Graham Priest
Dr Helen Purchase
A/Prof Janet Wiles
(Program Director, Honours Advisor)
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A/Prof Judy Bowey email: judyb@psy.uq.edu.au tel. 3365-6885 Children's and adults' reading, in particular word recognition processes and children's reading difficulties. Metalinguistic development in the preschool years.
Dr Margot Brereton
Dr Jack Broerse
Dr Deborah Brown
Dr Jenny Burt
A/Prof Robert (Bob) Colomb
Prof Tom Downs
Prof Gina Geffen
Dr Piero Giorgi
Dr Michael Harrington
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Prof Simon Kaplan email: kaplan@csee.uq.edu.au tel. 3365-2395 Software engineering, human-computer interface, computer supported co-operative work, programming languages especially visual languages.
Dr Ottmar V. Lipp
Dr Olivera Marjanovic
Dr John McLean
Dr Andrew Neal
Prof Jack Pettigrew
Dr Virginia Slaughter
Dr Glen A. Smith
Dr Gordon Wyeth
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This handbook is not an official publication of the University. Therefore, in the event of any conflict between this booklet and the official publications, the official publications take precedence. The University's Calendar Series contains all the necessary details - you are strongly advised to purchase either Vol 2, The Undergraduate Studies Book, or Vol 3, The Postgraduate Studies Book, whichever is appropriate for your course. You are also strongly advised to consult the official rules (Vol 2, The Rules Book) before completing any enrolment procedures, and to seek help from an Academic Adviser if in doubt.