1997 Swinburne Higher Education Handbook

SQ419 Artificial Intelligence
10 credit points 3 hours per week Hawthorn
Prerequisites: SQl2O 07 SQ210 or SQlOO Instruction:
combination of lectures, laboratories and tutorials
Assessment: assignments and examination
A second and third year subject in the Bachelor of Applied
Science
0 bjectives
To give students an introduction to some of the basic
concepts and tools of symbol-based artificial intelligence
research and their application in expert systems.
To contrast the symbol-based A1 paradigm with the more
recently emergent non-symbolic research and applications.
Content
Problem solving and research, specific topics include:
knowledge representation; expert systems as applied AI;
artificial neural networks; genetic algorithms; machine
learning; natural language processing; and machine vision.
The central theme of the subject is the difficulty involved in
encoding knowledge, even in restricted domains, in such a
fashion that 'intelligent behaviour' can be elicited.
SQ500 Concurrent Programming
10 credit points 3 hours per week Hawthorn
Prerequisite SQ300 Instruction: lectures and laboratoly
sessions Assessment: assignment and examination
A subject in the Bachelor of Applied Science.
Objectives
For students to understand and appreciate the main logical
problems and techniques of concurrent and real-time
programming.
To master programming using the consurrent pans of the
Ada language.
Content
The logical problems of concurrenecy; mutual exclusion;
safety and liveness; mechanisms to control concurrency;
semaphores; monitors; shared memory and message passing;
the rendezvous model; concurrent programming in Ada;
concurrency in real-time and distributed systems.
Recommended Reading
Geharui, N. Ada Concurrent Programming, 2nd ed., London,
Prentice Hall, 1991
SQ502 Unix System Programming
10 credit points 3 hours per week Hawthorn
Prerequisites: SQ402 and SQ300 or SQ310 Instruction:
combination of lectures and laboratory work Assessment:
examination and assignments
A second or third year subject in the Bachelor of Applied
Science.
Objectives and Content
The subject examines the UNIX operating system by
consideration of the use of some of the more common
system calls. It deals with the area of low level I/O, the file
system, process creation and control, signals,
communications and device control. The subject has an
applications focus, stressing the use of the operating system
to accomplish application objectives.
SQ503 Software Practice 3
10 credit points in semester one and 20 credit points in
semester two 4 hours per week in semester one, and one
hour per week in semester two Hawthorn Instruction:
lectures and practical work (in first semester) and group
project assessment
A final year subject in the Bachelor of Applied Science
(Computer Science and Software Engineering)
Obiedives and Content
This subject requires that students, working in large teams,
undertake a large scale software development project,
A , -
preferably industrially based. software-development,
documentation and system evaluation must be completed.
The project will require students to exercise advanced
management and technical development skills.
SQ511 Declarative Programming
10 credit points 3 hours per week Hawthorn
Prerequisites SQ310 or SQ300 Instruction: lectures,
tutorials and laboratory sessions Assessment: programming
assignments and exam
A third year subject in the Bachelor of Applied Science
0 bjedives
Students should understand the salient features of functional
and/or logic programming. (The balance between the two
may vary from year to year). They should be able to
develop programs from specifications and appreciate the
mathematical properties of such programs.
Content
A selection from: one of the modern functional
programming languages (eg. Haskell, Miranda); derivation of
functional programs; logic programming foundations;
programming in Prolog; and applications of logic
programming.
SQ519 Soft Computing
10 credit points 3 hours per week Hawthorn
Prerequisites: SQ310 or SQ300 Instruction: a combination
of lectures and laboratories Assessment: assignments,
laboratoly reports and examination
A third year subject in the Bachelor of Applied Science
Objective and Content
Soft computing is an emerging new discipline that combines
computational methods which share similar inexact,
approximate reasoning approaches in attempting to resolve
complex problems. The basic components of soft
computing are artificial neural networks, fuzzy techniques,
evolutionary computation.
Swinburne University of Technology 1997 Handbook 535