1996 Swinburne Higher Education Handbook

technical issues associated with the development of large
scale software systems. This subject surveys a variety of
process models, management and development methods and
techniques common to software engineering.
LCS407 Data Communications
12, 5 credit points 3 hours per week Lilydale
Prerequisite: . . nil Assessment: assjgnments and final
examination
A second stage subject in the Bachelor of Applied Science
(Computing) and Bachelor of Applied Science (Management
Science and Computing)
Objectives
An introduction to the fundamental concepts in modern
computer to computer communications. Topics covered
include: physical aspects of data communications; data link
control; terminal base networks; Telstra data communication
services, OS1 - Open Systems Interconnection.
LCS412 Systems Programming
12.5 credit points 3 hours per week Lilydale
Prerequisite: nil Assessment: assignments and/or projects
and a final examination
An elective subject in the Bachelor of Applied Science
(Computing) and Bachelor of Applied Science (Management
Science and Computing)
Objectives
To introduce students to the UNIX operating system; to
teach the use of shell scripts as a method of prototyping
system software; to examine systems programming in a
UNIX environment via consideration of various system
calls.
Content
Introduction to UNIX operating systems; UNIX file
management; commands and filters; electronic mail;
structure of the operating system; tools - make, SCCS, lint
and sdb; shell programming (differences between Bourne
and C shell); systems programming (low level I/O, accessing
the file system, creating and controlling processes,
communication between processes, devise control
networks); system administration.
Recommended reading
To be advised.
LCS419 Artificial Intelligence
12.5 credit points 3 hoursper week Lilydale
Prerequisite: nil Assessment: a combination of
assignments and examination
An elective subject in the Bachelor of Applied Science
(Computing) and Bachelor of Applied Science (Management
Science and Computing)
Objectives
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 AI paradigm with the
more recentlv emergent non-svmbolic artificial neural
"
network research and applications.
. -
Upon completion of the course the students should
have gain an appreciation of the difficulties involved in
encoding knowledge, even in restricted domains, in such
a fashion that 'intelligent behaviour' can be elicited.
Content
Problem solving and search: depth first, breadth first, beam
searching, hill climbing, A", minimax. Knowledge
representation: production systems, logic systems,
inheritance networks, structure objects/frames. Expert
systems as applied to AI: inference and uncertainty
knowledge acquisition. Artificial neural networks:
backprop, other architectures, applications. Genetic
algorithms: search, optimisation, classifier systems. Machine
learning. Natural language processing. Machine vision.
Recommended reading
To be advised.
LCS606 Computing in the Human Context
12.5 credit points 3 hours per week Lilydale
Prerequisite: nil Assessmac essay and examination
A stage three core subject in the Bachelor of Business and
Bachelor of Social Science
Objectives
To provide students with a framework for the development
of personal and corporate ethics appropriate for the
information technology professional, and to allow students
to explore the uses in and implications for society of
contemporary developments in computing.
Content
Ethical and legal issues in computing, and their relationship
to the computing profession; a selection of other topics,
exemplified by: philosophy and artificial intelligence;
computers and the arts; futures.
LCS613 Computer Science Team
12. li credit points 3 hours per week Lilydale
Prerequisite: nil Assessment: assignments
A stage three core subject in the Bachelor of Business and
Bachelor of Social Science
Objectives
In this subject, students will apply the software engineering
skills acquired throughout the degree, to a substantial group
software development project. Student groups will choose
from a range of projects and they will then have to analyse
the projects requirements, design and then develop the
system to the best of their ability in the time available.
Subject to . the . approval of the lecturer, students may
generate their own project.