Note: This is an archived Handbook entry from 2011.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2011:Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 hours comprising 1 two-hour lectures per week and 1 one-hour practice class per week. |
Total Time Commitment: 3 contact hours and 7 hours private study per week.
|Recommended Background Knowledge:||It is recommended that students have completed a third year subject in probability and statistical inference (equivalent to 620-323 Probability and Statistical Inference).|
|Non Allowed Subjects:||None|
|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/
CoordinatorProf Konstantin Borovkov
|Subject Overview:||This is a measure theory based advanced level course on probability theory, with applications to the theory of point estimation. The subject introduces key concepts and presents formal derivations of a number of fundamental results from probability theory. The second part of the course is devoted to the statistical theory of point estimation, where the results presented in the first part play a crucial role.|
After completing this subject students should:
* have developed an understanding of the measure theoretic framework of modern probability theory;
|Assessment:||Up to 40 pages of written assignments (20%: two assignments worth 10% each, due mid and late in semester), a three-hour written examination (80%, in the examination period).|
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
|Generic Skills:||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: |
* problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
* analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
* collaborative skills: the ability to work in a team;
* time-management skills: the ability to meet regular deadlines while balancing competing commitments.
Master of Science (Mathematics and Statistics) |
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