Note: This is an archived Handbook entry from 2015.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2015:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 hours of lecture (3 x 1 hour lectures per week) and up to 24 hours of workshops |
Total Time Commitment:
Study Period Commencement:
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:|| |
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
CoordinatorDr Emmanuel Koumoundouros
This subject teaches fundamentals of probability and statistics, clinical trial processes and regulations of therapeutic goods and specialised health care environments to Master of Engineering (Biomedical) students.
Foundations of probability: independence, conditional probability, Bayes’ rule; Random variables: cumulative distributions, probability mass and probability density functions, expectation and variance, functions of a random variable, important distributions and their properties and uses; Sums, inequalities and limit theorems: Basic statistical concepts: confidence intervals, hypothesis testing, significance levels, correlation, analysis of variance; Decision testing: maximum likelihood, maximum a posteriori, minimum cost and Neyman-Pearson rules, basic minimum mean-square error estimation, regression.
INTENDED LEARNING OUTCOMES (ILO)
Intended Learning Outcomes (ILOs) 1-8 are assessed in the final exam, and continuous assessment of submitted project work. (ILOs) 1-6 are also assessed in the mid-semester test.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Master of Engineering (Biomedical with Business) |
Master of Engineering (Biomedical)
Download PDF version.