Cogs 2010
introduces basic principles and issues related to computational modeling of
cognitive, perceptual and linguistics processes in cognitive science. It introduces neural networks and other
modeling frameworks, and emphasizes the significance of modeling techniques for
cognitive science.
The course
includes weekly lab sessions, which provide an opportunity for students to
familiarize themselves with some of the important models in the area.
Part 1:
Neural Network models (weeks 1-5) includes neural network simulations
Part 2:
Complex systems and evolutionary computation (weeks 6-10) includes GA
simulations
Part 3:
Symbolic models (week 11) includes Copycat
Part 4:
Embodied cognition (week 12)
Students
are assumed to have completed at least two units of computer science (such as
COMP1500), 2 units of mathematics or statistics (such as MATH, or PSYC1040) and
6 units of advanced courses (second year or above) related to cognitive science
(such as COMP, PSYC, PHIL, LING). It is also recommended that students have
completed COGS1000 or COGS2000 or an introductory artificial intelligence or
cognitive science course.
During the
course students should:
·
acquire knowledge and understanding of connectionist
and other computational models that are used to model cognition and
intelligence.
·
gain an understanding of the cognitive phenomena to
which these architectures apply.
·
gain an appreciation of fundamental cognitive
issues that these architectures highlight.
·
acquire the skills to simulate these architectures.
Cogs 2010
Home Page: http://www.itee.uq.edu.au/~cogs2010
Connectionist
Models of Cognition (CMC text book and simulator): http://www.itee.uq.edu.au/~cogs2010/cmc/
Cognitive
Science Home Page: http://cognitivescience.uq.edu.au/
Lecturer
and tutor Contact Details
A/Prof Janet Wiles
Room: 333,
Email: j.wiles @ itee.uq.edu.au
Phone: 3365 2902
Office
hours: Tuesday 2-4
Tutor: Ben Skellett
Room: 430,
Email: ben @ itee.uq.edu.au
Phone: 3365 2904
Office
hours: Thursday 2-4
Thursday
Tuesday
Cogs2010 includes two
different kinds of knowledge, content and skill.
·
Content
refers to the basic facts and ideas that underpin computational approaches to
cognition. The content will be covered primarily in the lectures.
·
Skill
refers to the ability to construct, run, and interpret computational models
using computer based simulation packages. Skill acquisition will occur
primarily in the laboratory sessions.
See the online updated
version here.
The lab sessions will
involve using several simulation packages.
The neural network exercises are from the online textbook “Connectionist
Models of Cognition”. You don’t need to register to use Brainwave in the lab. The local site for Brainwave is at http://www.itee.uq.edu.au/~cogs2010/cmc/
Hyperlinks to the
appropriate chapters are provided in the schedule table. The textbook contains
interactive exercises using the Brainwave neural network simulator, which is
built into the web pages. We recommend that you use Internet Explorer 4.0 or
greater on Windows 95/98 for best results. To access the textbook outside of
the laboratory times, you can use the library machines or use your own Internet
connection.
Each week has assigned
readings as listed in the Schedule table. Articles that are not online will be
available from the UG course centre (on the second level of the
Further readings are
suggested at the end of each chapter of the online textbook. These readings are
not compulsory but do provide background to the subject.
Oncourse assessment (50%): Weekly labs are
worth 40% total, the assignment worth 10%
Written answers to
exercises are due at the end of each lab. Late penalty 1 mark
per day unless given permission by the tutor. Lab exercises handed in later
than 1 week will not be marked.
The assignment is due
Thursday 31st October.
Examination (50%) – The
exam will be held during the normal examination period and may include any
material from the course content, including lectures, assigned readings and lab
exercises. The exam will comprise short answer questions and worked problems.
To pass the course, a
student needs to pass both the oncourse and
examination components.
Laboratory
Exercises: A student will have demonstrated a high level of performance in the lab
exercises if in their submitted work they:-
Examination:
A student will have demonstrated excellent knowledge in the exam if their
performance:-
A grade of 7 will be
awarded to a student who demonstrates excellent skills and knowledge as
assessed by the examination, and who performs at a high level in the lab
exercises and assignment.
A grade of 6 will be
awarded to a student who demonstrates at least sound level of
achievement/understanding in all assessment areas and achieves excellence in
either the exam or the oncourse assessment.
A grade of 5 will be
awarded to a student who demonstrates at least sound work in all assessment
areas. Alternatively, a grade of 5 will be awarded to a student who
demonstrates excellent knowledge/skill in one major area of assessment and
basic knowledge/skills in the other areas.
A grade of 4 will be
awarded to a student who demonstrates at least basic skills in all areas of
assessment, or at least sound skills and sound knowledge levels in the majority
of the assessed work.
Otherwise, a failing grade
will be awarded
Copying the assignment work
of other students, allowing other students to copy assignment work by you and
excessive collaboration are all regarded as plagiarism - a university offence.
If you are in doubt about the permitted extent of collaboration, see the course
coordinator.
When plagiarism is
detected, no credit will be awarded for the component of assessment involved. If
collaboration involves excessive cooperation, all parties involved will receive
no credit for that component.
That having been said,
discussion with colleagues (which should be duly acknowledged) is an essential
part of the learning experience. But having learned material, the work
submitted for assessment must be your own.
Please read the note
included in the University's published literature on misconduct in the Student
Handbook ... a survival guide.
“The School and the wider academic community in general takes academic integrity and respect for other persons and property very seriously. In particular, the following behaviour is unacceptable: Submission of plagiarised work, i.e. work that contains content copied from an unacknowledged source. Submission of work without academic merit, i.e. work that adds little or nothing to material available from reference sources such as textbooks, websites, etc., even where this is appropriately acknowledged. Engaging in collusive behaviour, i.e. inappropriate working together with other students where individual work is required, or working with people outside your team where team work is required. Copying work done by other students. Failing to adhere to the School's regulations concerning behaviour in laboratories, in particular occupational health and safety regulations.
Penalties for engaging in unacceptable behaviour can range from cash fines or loss of grades in a subject, through to expulsion from the University.
You are required to read and understand the [ITEE] School Statement on Misconduct, available on our website at: http://www.csee.uq.edu.au/about/student-misconduct.jsp
If you have any questions concerning this statement, please contact your
lecturer in the first instance.”
Any student with a disability who may require alternative academic
arrangements in the subject is encouraged to seek advice at the commencement of
the semester from a Disability Adviser at Student Support Services.
·
This
course should contribute to the student’s growing knowledge of cognitive science,
how it is studied and how it relates to other disciplines.
·
It
should give specific skills in simulation of cognitive phenomena.
·
Practice
in effective communication is fostered through discussions in lectures and
tutorials, and through written assignments.