1996 Swinburne Higher Education Handbook

References
Yourden, E. Modern Structured Analysis and Design, Prentice Hall
International, 1989
Kendall, K. and Kendall, J. SystemsAnalysis and Design, 2nd Edn,
Prentice Hall, 1992
Jordan, E. and Machesky, J. Systems Development, PWS-KENT,
1990
Power, M,, Cheney, P. and Crow, G. Structured Systems
Development, 2nd Edn, Boyd and Fraser, 1990
BT524 Programming A
Credit points - 12.5 3.5 hours per week over 1 semester
Prerequisite - BT504 Introduction to Infomtion Technology
Instmction: kcture/tutorial/laboratory Assessment:
examination (60%), assignments (20%) and test (20%)
0 bjectives
To give students a sound understanding of the ~rinci~les and
practice of procedural programming. To produce students
worthy of immediate hire as trainee programmers in a
commercial environment.
Content
programming process, from problem definition through
to program testing;
principles of structured programming
importance and philosophy of testing, and designing a
testing strategy for a given program specification;
designing a logical structured solution to a problem
using structure charts and pseudocode;
reading, understanding, modifying and debugging
COBOL programs;
how to design, write, test and document attractive, wellstructured
programs in COBOL involving - sequential
files, indexed files, reports, control breaks, data
validation, character string manipulation, tables,
arithmetic, sort, multiple sequential files
Texts
Stern, N., Stern, R. and Janossy, J. Structure Cobol Programming,
7th Edn, Wiley, 1994.
Stern, N., Stern, R. and Janossy, J. Getting Started With RM/
Cobol-85, Wiley, 1994
Cobol course notes.
References
Grauer, R. Structured Cobol Programming, USA, Wiley,1994
Juliff, P. Program Design, 3rd Edn, Prentice Hall, 1989
BT526 Knowledge Based Systems
Credit points - 12.5 3.5 hours per week over I semester
Prerequisites - BT504 Introduction to Infomtion Technology
and BT506 Infomtion Analysis Instruction methods -
kcturehborato y/tutorial Assessment: examination (65%)
and assignments (35%)
Objectives
In this subject the students develop an understanding of the
nature and uses of expert systems in business. The subject
involves ~ractical work using the expert system building
tools.
Content -
basic concepts of Artificial Intelligence, Knowledge
Based Systems and Expert Systems;
what expert systems are, how they are developed and
who is using them;
how expert systems differ from conventional software
programs and human beings who perform tasks
expertly;
basic concepts of knowledge engineering that affect
design and implementation;
various forms of knowledge representation;
evolutionary process of knowledge acquisition needed
to put expertise into a machine;
principles of rule based systems and induction systems;
handling of uncertainty;
inference;
use of PC based Expert Systems Shell;
introduction to natural language processing, neural
networks and case-based reasoning
Text
Turban, E. Expert Systems and Applied Artificial Intelligence.
Macmillan, 1992
References
Pigford, D. and Baur, G. Expert Systems for Business Concepts and
Applications. Boston, Mass., Boyd and Fraser, 1995
Harmon, P. and Sawyer, B. Creating Expert Systems for Business
and Industry, New York, Wiley, 1990
Ignizio, J.P. An Introduction to Expert Systems the Development
and Implementation of Rulebased Expert Systems. New York,
McGraw-Hill, 1991
Giarriatano, J. and Riley, G. Expert Systems: Principles and
Programming, Boston, PWS Kent, 1994
Zahedi, F. Intelligent Systems for Business, Expert Systems with
Neural Networks, Belmont, California, 1993