1996 Swinburne Higher Education Handbook

L060 Bachelor of Applied Science
(Computing)
Swinburne at Lilydale offers a Bachelor of Applied Science
course in Computing at the Lilydale campus.
General information
The course combines major studies in computer science
with a CO-major in one other discipline.
This course will be offered in multi-modal learning format.
By using a computer, students will increasingly undertake
parts of their study independently. The computer will be a
means of instruction, communication and computation that
can be used at home or on campus. Students are expected to
provide their own notebook or desktop PC-compatible
computer, together with a modem for communication to the
University's machines and the Internet, from their homes.
This will lead to a reduction in the time needed to be spent
in formal instruction on campus.
Computer Science
The computer science major focuses on modern software
engineering, including programming methodology using the
C/C+ + programming languages, data structures and
algorithms, software engineering, database, data
communications and computing in the human context.
CO-major
The CO-major may be chosen from any other major study
available within the constraints of timetabling on campus.
These include Psychology, Accounting, Marketing,
Sociology, Media, and Management Science. It is also
possible to do a minor in this second field (see below)
together with elective subjects to complete the degree.
Course duration
The Bachelor of Applied Science course is normally a three
year full-time degree. However, students may apply to
undertake industry based learning in which case the course
will be of four years duration.
Industry Based Learning (IBL)
The optional four-year course is taken in the IBL format
which includes one year of paid work experience. Students
who have successfully completed the first two years of their
course will be given the opportunity to apply to undertake
IBL.
Career potential
This course prepares students for careers in computing and
another field of their choice.
Professional recognition
This course is currently (1995) being considered by the
Australian Computer Society as a Level 1 course. Graduates
are eligible for associate membership. After four years of
relevant experience, a graduate can apply for full
membership. Graduates may also be accredited by another
professional society in the area of the CO-major.
Prerequisites
Successful completion of Year 12 or equivalent.
Special Entry
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. As
a rule, there is a quota on numbers selected in this category
each year.
Advanced standing
Apart from established local and international pathways
where block credit arrangements exist, particularly for
TAFE students, students admitted to the degree may be
granted advanced standing for previous studies on a case-bycase
basis. All applications for subject exemptions should be
submitted on the appropriate form at the time of enrolment.
Course structure
Students undertake a total of twenty-four subjects,
consisting of core subjects and two majors. Each subject is
worth 12.5 credit points. A student must complete subjects
totalling 300 credit points in order to obtain the degree. A
major consists of six subjects post first stage, with at least
two subjects at stage 3.
Students may elect to undertake a minor in another
discipline such as accounting economics, finance, business
law, marketing, media, and sociology. Details may be found
under the Business and Social Science sections. A minor
consists of four subjects post first stage, with at least one
subject at stage 3.
Students are required to complete three core subjects in first
year. These are:
LCIlOO Information Technology
LCLlOO Learning and Communication Behaviour
LCRlOO Statistics and Research Methods
i%e full course structure is as follows:
Stage l
Semester 1
LCSlOO Computer Science 1
LCIlOO Information Technology
LCRlOO Statistics and Research Methods
Elective 1 (major subject)
Semester 2
LCSZOO Computer Science 2
LCLlOO Learning and Communication Behaviour
Semester 2
Elective 2
Elective 3
Stage 2
Semester l
LCS3OO
LCS314
Data Structures and Algorithms
Software Engineering/Systems
Analysis
Elective 4
Elective 5
Semester 2
LCS305 Database
LCS407
Data Communications
Elective 6
Elective 7