433-399 DIRECTED
STUDY
36 Credit points: 10.0Coordinator Dr Z-Q Liu
Condition: Computer Sciепсе 433-399 may be taken only with the permission of the Read of the Department of Computer Sciелсе.
Contact: 26 lectures (Semester 1 or 2) Objectives
On successful completion of this subject, students should have broadened and deepened their knowledge of modern concepts and techniques in computer science. The details of the topics covered wil depend on the course of directed study selected and may involve substantial system development
Content
Directed study in computer science covering material which is not otherwise available to the student. The details of the topics covered will depend on the course of directed study selected and may involve substantial system development.
Assessment
An end-of-semester wńften examination af up to three-hours. Assigned project work must be completed satisfactońly to pass the subject. Weighting of assessment components will be made known at the start of the subject.
Postgraduate Diploma in Software Engineering
Cognitive Science
Assessment
One three-hour written examination. Project work must be completed satisfactorily to pass the subject. Weighting of assessтепt components will be notified at the start of the subject
433-463 THESIS Credit Points: 7.14 Cooтdiпцоr_ Dr L]ohnston
Contact: No contact hours specified (all year) Objectives
On successful completion of this subject, siudenis should have demonstrated skills in the preparation, writing and preseniation of a literature review on a technical topic in software engineering or computer engineering.
Content
Students will be required to select a topic from a range offered by the department each year. The thesis is to be based on a library search and literature review and may extend to reporting on associated experimental work The thesis will be prepared under the supervision of a member of the academic staff of the department with relevant expertise. Students with particular interests are encouraged to submit their own thesis topics for consideration.
Assessment
Written thesis not exceeding 5000 words (85%). Oral presentation of the thesis material not exceeding 30 minutes duration (15%).
Coordinators:
Dr J Pressing and Professor R Wales (Psychology)
A joint initiative between the Departments of Computer Science (Faculty of Engineering) and Psychology (School of Behaviоиral Sciences). The Master of Cognitive Science is available in the Faculties of Arts ]iA (CogSc)]; Science iMSc (CogSc)]алд Engineering j мЕngSc (CogSc) and MAppSc (CogSc) ].
The Masters Degree
Candidates are required to complete the equivalent of three semesters of fuli-time study to complete the degree. It may be taken on a full or part-time basis and candidates are expected to devote the first two semesters to coursework (ten subjects contributing 60% of assessment) and the third on the research and design project (contributing 40% of assessment).
Prerequisites: Eligibility for enrolment in the program will normally be based on the candidate having completed ais appropriate undergraduate degree in one of the following areas: computer science, engineering, linguistics, mathematics, neuroscience, philosophy, psychology or other related disciplines. Students must have some programming experience since the course requires the learning of specific computational methods associated with the Al perspective to cognitive . science. However, some remedial preliminary courses can be recommended for students before formally commencing the program.
For admission, an undergraduate degree at a good honours level will normally be required, or an appropriate qualifying program of study may be undertaken. Special consideration will be given to professionals with adequate industrial/businesc experience.
Assessment: each subject listed corresponds to a one semester course equivalent to 26 hours of lectures. There will he a total of 260 hours for the coursеwork section and an equivalent of around four months work on a full-time basis for the research project. Examination of each subject will be by a combination of exam, essay or projects, in all constituting the equivalent of a 3-hour examination (or 3,000 word essay).
Research Project This will involve the implementation of a solution to a problem within the area of Al which has relevance to industrial or business domains. Areas include speech understanding, computational vision, planning, expert systems in business, etc. The research is envisaged to take the equivalent of four months of full-time work to complete and result in a thesis of up to approximately 20,000 words Invoking a literature review the implementation of an Al system and the assessment if the Implementation.
For further details of subjects in psychology, philosophy or linguistics please consult the relevant departmenl For information on Cognitive Science and its current colloquium series, contact: hapl/ГSScrv. registrar.upimelb.edu.uu/SGS/6 3,html Course structure
10 subjects (each .09 weighting) 0.90 Research project (to a value of 60 points) 0.60
Total weighting for course 1.50
Note: A frta-time student load for one year (two semesters) has a weighting of 1.0. ТbeØrticularcombintion of subjects will be chosen in consultation with the Coordinator.
Candidates must do the following subjects: (each has .09 wig) 512-607 Core Issues In Cognitive Science
178.638 Natural Languages
433-603 Al Languages and Technologies 512-608 Speech Production and Recognition 161-602 Brains and Machines
Candidates choose five of the following: (each has .09 wig) 433-627 Intelligent Software Agents
433-608 Neural Networks 433.612 Computer Vision
433-626 Learning and Pattern Recognition 161-603 Philosophical Issues in Cognitive Science
512-609 Perception and Performance 512-610 Memory and Attention
178.623 Discourse Anałysis and Representation 178-644 Semantics
178-625 Computational linguistics 433-699 Specialisation Topic
Note: not allstг jests are available in any one year
Details of Subjects
Examination of each subject will be by a combination of exam, essay or projects, in all constituting the equivalent of a 3-hour examination (or 3,000 word essay). The research project will be limited to approximately 20,000 words or its equivalent.
161-602 вRAINS AND мAснlNEs Semester 1
Oыectives
Students will gain a knowledge and understanding of the philosophical background of the пůпd/body problem and philosophical evaluation of the daims about it.
Syllabus
Philosophical background ofihe miпd/body problem and philosophical evaluation of the relations between cognitive sdence, brain psychology and computing technology.
Lecturer
Dr G Marshall (Philosophy)
161-603 PHILOSOPHICAL ISSUES IN COGNITIYE SCIENCE Semester 2
Objectives
Students wil form considered views about a range of philosophical issues posed by cognitive science.
Syllabus
The subject wil include a brief introduction to philosophy covering issues such as argumentation, the nature of explanation, functional analysis, scientific reduction, as well as an introduction to and history of the philosophy of mind, covering theories such as dualism, behaviourism, identity theories and functionalism.
Lecturer
Dr G Marshall (Philosophy)
512-608 SPEECH PRODUCTION AND RECOGNITION Semester 2
Objectives
On successful completion of this subject students will have acquired the ability to construct and analyse computational models for human speech production and recognition and will understand the processes involved in automated speech production and recognition.
Syllabus
This topic is concerned with computational models for human speech production and recognition, as well as automated speech production and recognition processes.
Lecturer
Professor R Wales (Psychology)
512-609 PERCEPTION AND PERFORMANCE Semester 2
Objectives
On successful completion of this subject students will have acquired a kпоиledgе of lhe fundamentals of major areas and issues of Al and their relationship to the known processes of human perception and performance.
Syllabus
This topic includes a detailed study of the known processes of human perception and performance relevant to problems in AI. Topics covered include human pattern and object recognition, sensory-motor processing, motor control, auditory and tactile perception.
Lecturers
Associate Professor D Badcock and Dr A Hayes (Psychology)
51г-б1о MEMORY AND ATTE1TION Semester 1
Objectives
An understanding of the major processes underlying memory and attention and a refined ability to evaluate models of cognitive and neural organisation in relation to experimental research.
Syllabus
This topic provides a general look at human information processing, focusing on the major theories and experimental foundations of memory and attention and the relation between neural organisation and cognition.
Lecturers
Professor A Wearing and Drj Pressing (Psychology)
178-623 DISCOURSE ANALYSIS AND REPRESENTATION Semester 1
Objectives
To mtroduce students to the interpretive and representational pńnciples and techniques Involved in the analysis of discourse.
Syllabus
Approaches to the representation, generation and interpretation of discourse structures.
Lecturer
Dr L stirling (Linguistics) 178-644 SEмAЛTICS Semester 1
Objectives
On successful completion of this subject students will have acquired an understanding of the role of general human cognitive capacities in the development of meaning representation and knowledge of comparative approaches to semantics.
Syllabus
Approaches to semantics based on general human cognitive capacities (such as prototype semantics), in comparison with more formal approaches to meaning representation.
Lecturer
Associate Professor N Evans (Linguistics)
178-625 COMPUTATIONAL LINGUISTICS Semester 2
Objectives
On successful completion of this subject students will have acquired: a knowledge of the role of mathematical analysis in the study of language; a knowledge of specdic aspects of unification grammars, object oriented lexicons, the
implementation of grammars by rule-based systems; a proficiency in the application of this analysis to language.
syllabus
The more formal mathematical analysis of language, syпtaх and semantics will be covered. Specific topics deal wl± issues in unification grammars, object oriented lexicons and implementation of grammars by rule-based systems.
Lecturer
To be advised (Linguistics)
178-638 NATURAL LANGUAGES Semester 1
Objectives
To introduce students to the principles and analytical and representational techniques involved in investigating natural language.
Syllabus
A general introduction to the variety and complexity of human languages, to the analytical and representational techniques developed by linguists and to natural language problems within cognitive science and Al.
Lecturer
Dr P Kipka (Linguistics)
433Ø3 AI LANGUAGES AND TECHNOLOGIES Semester 1
Objectives
On successful compIeUon of this subject students should: uпdеrstаd the foundations of Al and the associated technologies that have evolved in both declarative and procedural approaches; have attained busic proficiency skills in logic programming; be able to carry out algorithmic analyses of problems in a variety of relevant areas.
Syllabus
Searching, problem solving, logic and deduction knowledge representation, machine learning, programming languages for artifсial intelligence. A selection from the following: game playing, expert systems, pattern recognition, machine vision, natural language, robotics and planning.
Lecturer
Dr L Naish (Computer sdence) 433-608 NEURAL NETWORKS Semester 1
Objectives
On successful completion of this subject students will have acquired: a knowledge of current developments in neural networks; an understanding af associated issues;
an understanding of the application of this area to problems and strategies in learning and recognition.
Syllabus
Current developments in neural networks, the problems of pattern recognition via neural networks. Feedforward, self-organising and feedback neural networks.
Applications to time series prediction, control and image processing problems.
Lecturer
Dr Palaiswanil (Electrical and Electronic Engineering) 433-612 COMPLIER VISION
Semester 1 Objectives
On successful completion of this subject students will have acquired a knowledge of current issues and techniques in computational vision; an understanding of image processing techniques; an understanding of the relationship between images and world structures; an understanding of selected topics in detail; an
understanding of the applications of computational vision.
Syllabus
A range of issues in computational vision from image processing techniques trough to the relationship between images and world structures will be examined.
Specific topics include representation, segmentation pattern and object recognition and picture languages
Lecturers
Dr L Kitchen/Dr Z-Q Liu (Computer Science)
433-626 LEARNING AND PATTERN RECOGNITION Semester 2
Objectives
On completion of this subject students will have acquired an increased knowledge of pattern recognition and machine learning; have developed the ability to implement algorithms able to solve complex pattern recognition problems in areas such as vision, speech, commercial and manufacturing domains; have gained sufficient knowledge of machine learning to facilitate the objective evaluation of current techniques.
Syllabus
This topic covers the areas of statistical pattern recognition and clustering through to more recent machine learning techniques such as decision trees, fuzzy logic, conceptual clustering and automatic rule and integrates such technologies with neural networks and signal processing. The course is envisaged to complement neural networks in so far as it covers more traditional and different approaches to learning and recognition problems. Neural Networks (433Ø8) would typically be a prerequisite for this course. However, students with adequate signal processing, malhemaiical/staiisdcaj or equivalent backgrounds would be acceptable.
Lecturer
433-699 SPECIALISATION TOPIC Semester 1 or 2
Objectives ТВА Syllabus
The unit provides candidates a choice of any course whose subject is related to cognitive science, be it in philosophy, psychology, linguistics, computer science or engineering. Candidates must confirm their choice with the Coordinator of the Cognitive Science program before enrolling.
Lecturer ТВА
512-607 CORE ISSUES IN COGNITIVE SCIENCES Semester 2
Coordinator: Dr) Pressing
Prerequisites: Admission to Master of Cognitive Science program or approval of subject coordinator
Contact two-hour lecture/seminar per week Objectives
Students should gain an understanding of core methods and issues in cognitive science and the ability to integrate information from the contributing disdplines of computer science, psychology, linguistics, philosophy and neuroscience.
Syllabus
This subject examines selected core issues in cognitive science, using these as a means to assemble an integrated perspective on the discipline. The core issues are structured into 4-6 central themes, with two or three weeks devoted to each theme.
These themes are chosen from a list of possibilities on a year-to-year basis. The theme list contains but is not limited to: cognitive foundations of linguistic communication; computational approaches to perception;
cottsciousness/embodimenVmental representation; diagnostic reasoning processes;
evolutionary aspects of cognition:; neuronal models of cognitive functions; suds cognition.
Assessment
Paper of up to 3000 words.
Lecturer Dr) Pressing, et. al.
433-627 INTELLIGENT SOFTWARE AGENTS Objectives
On completion of this subject students should: have an understanding of the context of research In Al in which the study of intelligent software agents is located; have been introduced to a variety of application domains In which agent technology has been exploited; appreciate the complementary contributions of theory and engineering in lhe design and development of software agents; understand the IDI approach to building agents; and have some knowledge of a range of current research areas in software agents.
Syllabus
Agents are autonomous software components that perform tasks on behalf of a user or other agent Intelligent agents are agents that incorporate some reasoning or planning. Agents can be viewed as a model for distributed intelligence or a new model for developing software to Interact over a network This subject will give an overview of current research into agents and will look at agent theories, architectures, languages and applications in approximately equal proportions.
Applications covered will include work on web-agents, developments which have attracted great interest following the rapid expansion of the WW.
Lecturers
Professor L Stеrling/Associate Professor E A Sonenherg