Hobart
Introduction
Modern statistical modelling (KMA356) is a third year undergraduate unit offered by the School of Natural Sciences (Mathematics). The unit presents modern statistical methods for developing applied models and confronting them with real world data. Students will be shown how simulation and Bayesian methods can be used for inference, using the R programming language within RStudio. Emphasis will be placed on developing communication skills targeted towards both professional and non-professional audiences, and documenting analyses to allow reproducibility. This unit is designed to equip undergraduate students with both advanced and fundamental practical statistical skills. These skills can be utilised in higher level research degrees or in various professions that require data handling.
Summary
| Unit name | Modern Statistical Modelling |
| Unit code | KMA356 |
| Credit points | 12.5 |
| College/School | Sciences and Engineering School of Natural Sciences |
| Discipline | Mathematics |
| Coordinator | Doctor Shane Richards |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania |
| Level | Advanced |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Hobart | Semester 2 |
|
|
|
|
- Key:
- On-campus
Off-Campus- International students
- Domestic students
Note
Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.
Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 2 | 20/7/2025 | 18/8/2025 | 7/9/2025 | 25/10/2025 |
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2025 are indicative and subject to change. Finalised census dates for 2025 will be available from the 1st October 2024. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Formulate a statistical model and sampling scheme to analyse a quantitative problem
- Implement a statistical model using modern statistical methods in R
- Validate and interpret a statistical analysis by comparing model predictions with observed data.
- Communicate statistical results to statisticians and non-statisticians in written format
Fee Information
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 010103 | $578.00 | $578.00 | not applicable | $2,780.00 |
- Available as a Commonwealth Supported Place
- HECS-HELP is available on this unit, depending on your eligibility3
- FEE-HELP is available on this unit, depending on your eligibility4
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UniConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Requisites
Prerequisites
(KMA253 - Data Handling and Statistics 2 OR KPZ312 - Scientific Methods in Biology)Teaching
| Teaching Pattern | 2 x 2-hr lectorial/workshops per week (weeks 1-13). Students are expected to attend all sessions with their own laptop having the free software R and RStudio downloaded. Session will be Zoom recorded and recording links will be placed on MyLO. |
|---|---|
| Assessment | Assignment 1 (17%)|Assignment 2 (17%)|Assignment 3 (17%)|Assignment 4 (17%)|Quizzes (32%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Online materials, including lecture/workshop materials, assignments, and Zoom recordings will be placed on MyLO in a timely manner. |
|---|---|
| Recommended | There is no text book for this unit; however, recommended readings will be provided online throughout the unit. |
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.