Note: This is an archived Handbook entry from 2013.
|Dates & Locations:|| |
This subject is not offered in 2013.
|Time Commitment:||Contact Hours: 36 hours comprising one 2-hour lecture per week and one 1-hour practice class per week. |
Total Time Commitment:
3 contact hours and 7 hours private study per week.
Both of the following subjects, or equivalent:
Study Period Commencement:
Not offered in 2013
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:|| |
|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/
Dr Owen Jones: firstname.lastname@example.org
Associate Professor Aurore Delaigle: email@example.com
The first part of the course deals with advanced probability theory and rigorously derives a number of fundamental results. The second part of the course gives a mathematical treatment of nonparametric curve estimation, wherein the results presented in the first part play a crucial role.
After completing this subject students should:
Up to 40 pages of written assignments (20%: two assignments worth 10% each, due mid and late in semester), a 3-hour written examination (80%, in the examination period).
|Prescribed Texts:|| |
|Recommended Texts:|| |
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:
Master of Philosophy - Engineering |
Master of Science (Mathematics and Statistics)
Mathematics and Statistics |
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