Please note - Swinburne University of Technology

1~401 Industry Based Learning
50 credit points
Twenty weeks full-time project work in industry
Prerequisite: satisfactory completion of the
subjects of the first three segments
Subject aims
To gain first hand experience of the operation of the
information technology environment, the work of data
processing departments and the workings of organisations.
To extend the learning of the preceding segments of the
course, in particular to gain experience of programming,
systems software and the information technology environment
of business and industry.
To address issues which can better be learned from within the
industrial environment - such as user liaison and systems
security.
Subject description
Students work under the supervision of both the industrial
sponsor and the student manager.
Projects and assignments and participation in the professional
activities of sponsors data processing and information
technology environments are assessed by the student manager
and industry supervisor.
Students are expected to gain experience in the following
areas: programming, systems design, user liaison, and security
and to be closely involved with the application of at least two
of the following: data base communications,.user support, and
systems software.
1~501 Systems and Information Analysis 1
10 credit points
No. of hours per week: four hours
Prerequisite: IT303 Data Base Management
Systems 1
Subject aims
This subject provides students with the skills necessary to
perform information analysis and data modelling for detailed
applications as well as at the corporate level.
Students make extensive use of appropriate software tools to
help them develop detailed requirements specifications.
By the end of the subject students should be able to:
Prepare a requirements specification for a small
application, to be used for preparation of a structured
design specification.
Analyse corporate information requirements and hence
contribute to the preparation of a strategic data model
for an organisation.
Select the systems analysis approach appropriate to a
particular situation from a range of modelling techniques
and tools.
Subject description
Systems requirements, data and models.
Data analysis - user views of data; data dictionaries.
Structured systems analysis - data flow diagrams; structured
design software; transforms.
Corporate information systems- corporate data modelling;
data administration; levels; ~lannina. control, operational;
scope; corporate, divisional; local. -
rrsoz Systems Software 2
10 credit points
No, of hours per week: four hours
Prerequisite: IT301 Systems Software 1
Subject aims
To make an in-depth study of a mainframe operating system
such as MVS or VM. The architecture of the mainframe as well
as the assembler language is studied so as to examine the
inter-relationship between systems software and the
computers architecture. her ole of the systems programmer
as distinct from the applications programmer is considered.
Subject description
Assembler programming: introductory concepts, instruction
formats, decimal instructions, data transfer and sequence
control, edit instructions, binary data and instructions, address
modification and arrays, bit and bye manipulations, input/
output macros, subroutines and linkages.
Systems programming: testing and debugging with assembler
languages, style, documentation of systems software, problem
determination (dump reading), systems utilities, file systems
(VSAM/AMS), system generation, system maintenance,
recovery and termination management, security.
Computer architecture: CPU and ALU principles of operation,
divisions of storage, addressing mechanisms, storage
boundaries, operation and interfacing of input/output devices.
1~503 Data Base Management Systems 2
10 credit points
No. of hours per week: four hours
Prerequisite: IT303 Data Base Management
Systems 1
Subject aims
To build upon the concepts and techniques learned in IT303.
Logical design concepts expanded by a formal study of
relational theory and normalisation enable students to
understand developments in the field. Implementation and
physical design skills are enhanced by an examination of the
factors affecting performance.
Subject description
Relational theorylnormalisation.
Design methodologies.
Factors affecting performance.
Analysis of transactions and transaction volumes.
Data base sizing.
Physical design.
Maintenance and creation of data bases.