Please note - Swinburne University of Technology

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Types of application systems: transaction - general purpose
and vertical market, decision support and expert systems -
examination of the necessary hardware, software and people
resources required.
Data transportability: micro-mainframe links, PC to PC links,
systems integration - including general ledger, integrated
software.
Case study presentations.
1~222 Mathematics
10 credit points
No. of hours per week: four hours
Assessment: assignment and examination
Subject description
Vectors and matrices; manipulation of vectors, linear
combination of vectors, linear independence and basis, matrix
manipulation, inverse of a matrix, matrix solution of equations.
Markov process, definition of stochastic systems, transient and
steady systems, first time package.
Queueing theory; classification of queueing systems basic
queueing models, other queueing models.
Simulation; introduction to random number generators,
simulation techniques and some applications.
Forecasting; definitions, requirements, time series forecasting,
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3 moving averages, exponential smoothing and their
2 applications.
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VI
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Decision theory; classification of decision problems; decision
trees and related topics.
ID
; Multicriteria decision models.
3
s.
2
3
IT~OI Systems Software 1
16.5 credit points
No. of hours per week: twenty-seven hours for
three weeks
Prerequisites: successful completion of the
segments one and two
Subject aims
To develop an understanding of the fundamental principles of
operating systems so as to promote a more efficient use of the
resources provided in the computing environment, and to
prepare for more in-depth studies in later systems software
subjects.
To develop an understanding of how these principles apply to
a specific general purpose operating system such as IBM's
MVS.
Subject description
Operating system principles: introduction, operating system
services, file systems, process scheduling, memory
management, virtual memory, storage system scheduling,
deadlocks, job and task management, protection.
The main components of IBM's MVS, including the job entry
subsystem, the supervisor, data facility product, virtual store.
Job control language is also practically covered.
1~302 Organisation Behaviour (OB)
17 credit points
No. of hours per week: twenty-one hours for three
weeks
Instruction: an experiential model of learning is
utilised supported by appropriate reading
Subject aim
The broad aim is to enable students to learn how to apply the
theory and skills of organisation behaviour and to transfer
that learning into information systems contexts.
Subject objectives are:
to enable students to develop a perspective which
demonstrates the place of IS departments in the total
organisation;
to give an understanding of themselves, their impact on
others and of the way others influence their behaviour;
to allow students to experience the satisfactions and
difficulties inherent in working in groups;
to learn behavioural skills applicable to IS environments
to be able to analyse and provide solutions for people/
technology problems;
to enable students to make sense of interdepartmental
relations and suggest some ways of overco&ing intergroup
conflict;
to apply OB knowledge to and further learn from industry
based learning experiences.
Subject description
Organisational socialisation; theories of managing people;
motivation; personal growth; career development; group
dynamics and team performance; managing multigroup work;
leadership; organisation culture and change; power and
influence; performance appraisal; managing presentations.
3 0 Data Base Management Systems 1
16.5 credit points
No. of hours per week: twenty-seven hours for
three weeks
Prerequisites: IT202 COBOL Programming and
IT203 Business Applications and Systems 2
Subject aims
To eauip students with practical and theoretical knowledae of
database management'systems so that they can work
productively on database applications (specifically relational
databases).
Subject description
Introduction: advantages and functions of database
management systems. The relational data model. Data
definition and manipulation. Structured query language,
advanced SQL.
Embedded SQL: embedding SQL in a third generation
language (COBOL).
OLTP systems: using SQL in an on-line transaction environment.
DBMS transaction and lock management.
Data integrity, recovery and concurrency management.
Comparisons between major commercial DBMSs.
Practical work involving the creation, loading and manipulation
of relational databases in batch and on-line environments will
be the focus of laboratory work. Particular emphasis is placed
upon popular DBMS software that the students are likely to
encounter in their industry based learning segments.