Please note - Swinburne University of Technology

Year 3
Semester 1 (1990 syllabus)
SC508 lndustry Based Learning
Semester 2
SC608 lndustry Based Learning
Year 4
Semester 1 (1990 syllabus)
SC570 Chemistry
SC590 Computers in Chemistry
SC708 Scientific Communications
SC553 Applied Chemistry
SC560 Practical Chemistry
Semester 2(1990 syllabus)
SC670 Chemistry
SC690 Computers in Chemistry
BS619 Business and Management
SC808 Scientific Communications
SC653 Process Chemistry
SC660 Practical C hemistry
ICI is a major supporter of this course, providing funds for
the purchase of molecular graphics equipment as well as
being a continuing supporter of our industry based learning
program.
Application procedure
E! See entry under 'General Divisional information -Applied
5. Science'.
:.
S 2070 Applied and Industrial Mathematics
CA
Students will initially enrol in SHMC (2059) and will transfer to
2 SHMC (2070) at the end of first year.
.m
Through this course students will develop their understanding
co. of mathematical principles, their application to real problems
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and to computer based solutions. Particular emphases are on
. the process of creating an appropriate mathematical model,
3
a the techniques of solution of the model and the interpretation
3 of the model. Through this process, students will gain an
appreciation of the applicability and limitations of
-.
mathematical modelling.
10
3 Industry based learning
The optional four-year program is taken in industry based
learning format which includes one year of paid work
experience.
Operations research
Operations research is the scientific study of probiems arising
in commerce and industry. Students examine loosely structured
practical problems at an early stage in the program and later
work in groups to undertake real projects for external clients.
Computer methods are used extensively in both classes and
group work.
Applied statistics
Applied statistics is concerned with the collection and analysis
of data. Students will study statistical methods for sampling,
for making inferences from samples and for modelling data
using methods such as regression. Studies in applied statistics
will equip students with the ability to plan statistical
investigations and to analyse data using specialist statistical
computer packages.
Computational mathematics
(not available in 1995)
Computational mathematics will focus on the application of
applied mathematical techniques to the solution of industrial
problems. Applications include mining and materials
processing, pollution, management of resources and the
physical and chemical processes of the engineering and
manufacturing industries. They cover a wide range of problems
in the natural and life sciences, as well as the rural and urban
environments.
Career potential
With the advances in computer technology over the last
twenty-five years, the application of mathematical and
statistical techniques has spread significantly in industry and
business. There is an increasing need for practitioners who can
apply and interpret the outcomes of mathematical and
statistical models to describe current situations and to
investigate proposed changes.
Prerequisites (entrance 1995)
Units 3 and 4 - Mathematical Methods. Middle band
selection - bonuses will be handled in the manner specified
for the following studies: Specialist Mathematics (1 5%),
Information Technology (Information Systems)(l 0%).
Consideration will be given to the full range of an applicant's
VCE studies and results; and level of performance in CATS in
prerequisite studies; and to the student profile. Applicants who
do not satisfy the above requirements may be considered on
the basis of factors such as employment, educational
background and in some cases, an interview.
Course structure
Full-time course
(1993 syllabus)
Year 1
Semester 1
Credit points
SM131 Communication Skills 10.0
SM180 Mathematics 1 10.0
SM185 Applied Statistics 10.0
SQ110 lntroduction to Computer Problem Solving 10.0
SQ117 Introduction to Computer Systems 10.0
Semester 2
BS513 Business Studies-Accounting 10.0
SM180 Mathematics 1 10.0
SM288 lntroduction to Operations Research 10.0
SQ204 Formal Methods 10.0
SQ2lO Programming in C 10.0
Year 2
Semester 1
54310 Three mathematics subjects each
Advanced C Programming
10.0
Elective (mathematics or computer science)
Semester 2
10.0
SM404 Project Management 10.0
Four mathematics subjects each 10.0
Year 3
Semester 1
Four mathematics subjects each 10.0
Complementary studies elective 10.0
Semester 2
SM608 Industry Based Learning 50.0