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
Specific information on 2027 unit availability will be available in August
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
2027 fee information will be available in August.
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 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 (18%)|Assignment 2 (18%)|Assignment 3 (18%)|Assignment 4 (18%)|Quizzes (28%) |
| 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.