Mathematical Foundations for Biostatistics (STAT7617)
Information valid for Semester 2, 2024
Course level
Postgraduate Coursework
Faculty
School
Public Health School
Units
2
Duration
One Semester
Attendance mode
External
Class hours
General contact hours 2 Hours/ Week
Incompatible
STAT7601 or STAT7614
Assessment methods
Theoretical Exercises x 2 (35% each)
Short Exercises x 2 (15% each)
Course enquiries
Dr Michael Waller
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Current course offerings
Course offerings | Location | Mode | Course Profile |
Semester 1, 2025 (24/02/2025 - 21/06/2025) | External | External | Course Profile |
Semester 2, 2025 (28/07/2025 - 22/11/2025) | External | External | Course Profile |
Please Note: Course profiles marked as not available may still be in development.
Course description
STAT7617 covers the foundational mathematical methods and probability distribution concepts necessary for an in depth understanding of biostatistical methods. The course commences with an introduction to mathematical expressions, followed by the fundamental calculus techniques of differentiation and integration, and essential elements of matrix algebra. The concepts and rules of probability are then introduced, followed by the application of the calculus methods covered earlier in the course to calculate fundamental quantities of probability distributions, such as mean and variance. Random variables, their meaning and use in biostatistical applications is presented, together with the role of numerical simulation as a tool to demonstrate the properties of random variables. In terms of the structure of this course, approximately the first half is developing mathematical skills, with the second half being their application to probability and probability distributions. The material is interspersed with exercises for you to attempt and hence gain a deeper understanding of the theory and methods covered. There will be videos posted on Canvas to summarise content as you work through each module of the course.
Archived offerings
Course offerings | Location | Mode | Course Profile |
Semester 1, 2024 (19/02/2024 - 15/06/2024) | External | External | Course Profile |
Semester 2, 2024 (22/07/2024 - 18/11/2024) | External | External | Course Profile |
Semester 1, 2023 (20/02/2023 - 17/06/2023) | External | External | Course Profile |
Semester 2, 2023 (24/07/2023 - 18/11/2023) | External | External | Course Profile |
Semester 1, 2022 (21/02/2022 - 21/06/2022) | External | External | Course Profile |
Semester 2, 2022 (25/07/2022 - 19/11/2022) | External | External | Course Profile |