Search | Previous : Psychology | Next : Zoology
Handbook 1997 : Faculty of Science : Statistics
Statistics involves the investigation of data, the study of randomness, probabilistic modelling, estimation and prediction. Statistics is an increasingly important field of study. In part this is because greater and greater amounts of data are produced every year - as society becomes more complex and as the computer continues to make it easier to store and analyse data.
The subjects offered by the Statistics department are concerned not only with the techniques, but also the underlying theory, so that the statistical methods may be adapted to a wide variety of situations. Students are assumed to have a sound mathematical background.
There is one Statistics subject offered at 100-level, 619-100. However, at 100-level Statistics can also be taken as a part of Mathematical Sciences 617-141 (see the Mathematical Sciences entry). Statistics 619-100 or 617-141 must be taken as prerequisite for second-year Statistics subjects.
With the permission of the Head of Department, students with very high scores in VCE Specialist Maths or students who have performed well in the MUPHAS mathematics programme, may undertake 619-201.
Four Statistics subjects are offered at 200-level:
619-200 is an applied Statistics subject which can be taken by students majoring in other disciplines, as well as by students intending to major in Statistics. The emphasis in this subject is on applications and methods and is required for students in Environmental Sciences.
619-201 and 619-202 constitute the basic second year course for students for students intending to major in Statistics and for students with a good mathematical background. It is strongly recommended that students taking these units should also take some 200 level Mathematics concurrently (or have taken some previously), and students intending to major in Statistics are also encouraged to take 619-200 or 619-230 or both.
619-201 is a course on probability and probability modelling and may be taken separately.
619-230 is an introduction to statistical methods involving sampling and simulation.
The suggested courses listed below are designed for students intending to take Statistics as a major field of study.
Statistics 619-100.
Additional subjects from: Mathematics, Economics 1A 316-101; Chemistry 100-level; Biology 600-141 and 600-142 (Before 1996: 600-101 Biology); Physics 640-141 + 640-142 (before 1996: 640-140) or Psychology 512-101; Computer Science 433-141 and 433-142.
At least two of Statistics 619-200, 619-201, 619-202, 619-230.
Mathematics 618-200.
Subjects from Mathematics, Statistics or Computer Science or other subjects following on from 100-level studies.
At least three of Statistics 619-310, 619-320, 619-330, 619-340, 619-355, 619-360.
Subjects following on from 200-level studies.
It is recommended that students take some 300 level Mathematics units and strongly recommended if they intend to do Honours.
Please refer to Bachelor of Science (Honours) in Psychology.
619-100 Experimental Design and Statistical Analysis
619-200 Applied Statistics 619-201 Probability 619-202 Statistics 619-230 Sampling, Simulation and Resampling
619-310 Further Probability 619-320 Inference 619-330 Linear Models 619-340 Further Applied Statistics 619-355 Stochastic Modelling and Optimisation 619-360 Time Series and Forecasting
619-001, 619-005 and 619-007 are only available to Engineering Students. Combined Science/Engineering students should speak to an Engineering Course Adviser before enrolling in these subjects as it may be recommended that they complete 'science' statistics subjects instead. Credit toward the Bachelor of Science will not be awarded for the completion of 619-001, 610-005 and 619-007.
619-001 Statistics for Engineers 619-005 Probability for Electrical Engineers 619-007 Stochastic Processes for Electrical Engineers
Search | Previous : Psychology | Next : Zoology
Handbook 1997 : Faculty of Science : Statistics
Status: OFFICIAL 1997 Last Modified: Wednesday March 12 3:36 pm SGML to HTML Conversion: Information Technology Services Authorised by: Academic Registrar Email Enquiries: Course_Information@registrar.unimelb.edu.au
Copyright © University of Melbourne 1997.