1997 Swinburne Higher Education Handbook

LCS305 Database Structures and Algorithms
3 hours per week Lilydule Assessment: assignments and
examination
A second stage subject in the Bachelor of Applied Science
(Computing) which may also be taken in the Bachelor of Social
Science and Bachelor of Business.
Objectives
To supply the practical skills and knowledge to design most
databases used in industry; to provide the foundation to
evaluate existing data base management systems; to teach
proficiency in SQL.
Content
The theory and process of database design, including -
database architecture; data modelling; rational theory;
logical and physical design; relational, network, hierarchical
and object oriented databases; SQL.
Recommended reading
To be advised.
LCS306 Human-Computer interaction
3 hours per week Lilydule Prerequisites: nil Assessment:
two assignments and one exam
An elective subject in the Bachelor of Applied Science
(Computing) which may also be taken in the Bachelor of Social
Science and Bachelor of Business.
0 bjectives
To introduce students to the process of user interface design.
Content
Technology: usability of input/output devices and
interaction styles.
Methodologies: formal, cognitive and usability approaches
to developing appropriate human-computer interaction.
Theories: theoretical foundations of HCI.
LCS314 Software Engineering/Systems Analysis
3 hours per week Lilydale Prerequisite: nil Assessment:
assignments and/or projects and a final examination
A second stagesubject in the Bachelor of Applied Science
(Computing) which may also be taken in the Bachelor of Social
Science and Bachelor of Business.
Objectives
Software engineering is the study of organisational and
9 technical issues associated with the development of large
a scale software systems. This subject surveys a variety of
. process models, management and development methods and
Gi techniques common to software engineering.
LCS407 Data Communications
3 hours per week Lilydale Prerequisite: nil Assessment:
assignments and final examination
A second stage subject in the Bachelor of Applied Science
(Computing) which may also be taken in the Bachelor of Social
Science and Bachelor of Business.
0 b jectives
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, OSI - Open Systems Interconnection.
LCS4 1 2 Systems Programming
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) which may also be taken in the Bachelor of Social
Science and Bachelor of Business.
0 bjectives
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 svstem
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.
LCS4 1 9 Artificial Intelligence
3 hours per week Lilydale Prerequisite: nil Assessment: a
combination of assignments and examination
An elective subject in the Bachelor of Applied Science
(Computing) which may also be taken in the Bachelor of Social
Science and Bachelor of Business.
Obiectives
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 artificial neural
network research and applications.
Upon completion of the course the students should
have gain an appreciation of the difficulties involved in
enco8ng kno&edge, 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.