Note: This is an archived Handbook entry from 2016.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2016:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 48 hours comprising two 1-hour lectures per week and one 2-hour computer laboratory session per week. |
Total Time Commitment:
The following, or equivalent.
Study Period Commencement:
Semester 1, Semester 2
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||
Students who have completed an introductory programming subject (such as MAST30028, COMP10001, COMP10002, COMP20005 or INFO10001), and an introductory probability subject (such as MAST20004 or MAST20006), are recommended not to take this subject.
|Core Participation Requirements:||
For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements for this entry.
The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/
CoordinatorDr Anca Hanea
Modern science and business makes extensive use of computers for simulation, because complex real-world systems often cannot be analysed exactly, but can be simulated. Using simulation we can perform virtual experiments with the system, to see how it responds when we change parameters, which thus allows us to optimise its performance. We use the language R, which is one of the most popular modern languages for data analysis.
After completing this subject students should be able to:
Up to 21 pages of written assignments (51%: three assignments worth 17% each) and a 2-hour examination worth 49%.
|Prescribed Texts:|| |
Introduction to Scientific Programming and Simulation Using R by O. Jones, R. Maillardet and A. Robinson. CRC Press, 2009
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
At the completion of this subject, students should gain the following generic skills:
Students will be expected to regularly access a computer running the programming language R. (R is freeware. Instructions on obtaining and installing R will be provided.)
Doctor of Philosophy - Engineering |
Master of Biomedical Science
Master of Commerce (Actuarial Science)
Master of Operations Research and Management Science
Master of Philosophy - Engineering
Master of Science (BioSciences)
Master of Science (Botany)
Master of Science (Chemistry)
Master of Science (Computer Science)
Master of Science (Earth Sciences)
Master of Science (Ecosystem Science)
Master of Science (Epidemiology)
Master of Science (Geography)
Master of Science (Information Systems)
Master of Science (Mathematics and Statistics)
Master of Science (Physics)
Master of Science (Vision Science)
Master of Science (Zoology)
Environmental Science |
Mathematics and Statistics
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