Please note - Swinburne University of Technology

Computer Science Electives
Electives in computer science depend upon demand and
available resources. Electives may include artificial intelligence,
COBOL programming, computer architecture, computer
graphics, computer organisation, declarative programming,
expert systems, formal methods, translator engineering, and
object oriented programming.
Application procedure
See entry under 'General Divisional information -Applied
Science'.
2075 Computer Science and Psychology
VTAC Course Code-35357
This program comprises major studies in computer science and
psychology. The psychology major gives students a broad
introduction to psychology, but with an emphasis on applied
aspects of the discipline and on the development of skills in
research design, statistical analysis and computer usage.
Graduates of the course will be able to proceed to accredited
fourth year programs in psychology. In the computer science
major, students learn the principles of computer operation and
are introduced to the specification and development of
computer programs to solve mathematical, scientific and
business oriented problems. Modern software engineering
methods and tools are studied, and subjects in human
computer interaction and artificial intelligence are included:
areas of the discipline with a substantial interaction with
psychology.
Prerequisites
Units Three and Four: Mathematical Methods. Middle band
selection: bonuses will apply for Specialist Mathematics and
lnformation Technoloav (Information Systems). Consideration
will be given to the fii
range of an apblicant's VCE studies and
results, to the level of performance in CATS, in prerequisite
studies and to the student profile.
Applicants who do not satisfy the above requirements may be
selected after consideration of their employment and
educational background, particularly in the prerequisite
mathematics. Such special entry is not available to applicants
who have, within the last three years, failed any of the formal
entry assessments. As a rule, the number of special entry
scheme admissions does not exceed 10% of the new intake in
any year.
Course structure
(1995 syllabus, subject to accreditation)
Full-time course
Year 1
Semester 1
AY100M Psychology 1OOM
SM1210 Mathematics
54110 Computer Problem Solving
54117 Introduction to Computer Systems
Semester 2
AYl OlM Psychology 101 M
SM1210 Mathematics
SQ210 Programming in C
54204 Formal Methods
Year 2
Semester 1
AY203 Developmental Psychology
SM278 Design and Measurement 2A
SQ310 Advanced C
54314 Software EngineeringISystems Analysis
Semester 2
AY202 Cognition and Human Performance
AY204 Social Psychology
54305 Database
54419 Artificial Intelligence
Year 3
Semester 1
AY312 The Psychology of Personality
SM378 Design and Measurement 3A
54306 Human Computer Interaction
SQ604 Object Oriented Programming
Semester 2
AY319 Psychological Measurement
AY320 Psychological Foundations of Counselling
SQ407 Data Communications
SQ412 Systems Programming
54633 Computer Science Team Project
Note: In addition, all students undertake a Communication
and Learning Skills subject during the first year of the
course.
Industry based learning
Two semesters of industry based learning may be available
before students do their final year.
Honours program
Students who achieve a high standard during the course may
be invited to participate in an honours year.
Multimodal learning
Many of the computing subjects in the program are studied in
a form known as multimodal learning (MML). This method of
learning is based on extensive use of computers and associated
communication and media technology.
Application procedure
See entry under 'General Divisional lnformation -Applied
Science'.
2063 Computer Science and Software
Engineering
VTAC Course Code-34438
This program provides an extensive education in contemporary
approaches to the analysis, design and implementation of large
scale computer systems. The course covers computer science,
software engineering, and software practice.
Computer science is the core content of the program and
includes the study of programming methodologies,
datastructures and alaorithms. and ooeratina systems.
Software engineeringfocuseson aspects of 6uilding large
scale software systems encompassing methodologies such as
functional decomposition, object oriented design, and
documentation methods. Software practice exposes students
to a variety of situations which are designed to provide
experience in problem solving strategies, group dynamics,
interpersonal communication. resource analysis, critical
evaluation and review, and the managemeit of large scale
projects.