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SC2202 - Quantitative Methods in Science
| Credit points: | 3 |
| Year: | 2023 |
| Student Contribution Band: | Band 1 |
| Administered by: | College of Science and Engineering |
An introduction to experimental and survey design and analysis. Topics include the principles of sampling design; hypothesis generation for experiments; collection of data; manipulations and interpretation of data; statistical methods used in science; and the use of data in scientific reports.
Learning Outcomes
- demonstrate sound knowledge of the basic principles that underpin sample selection, experimental design, data management, statistical theories, exploratory data analysis, and statistical analysis using basic linear modelling;
- effectively integrate and execute statistical theories and processes using R and RStudio;
- create, retrieve, analyse, synthesise, and evaluate outputs produced from R and RStudio, including demonstrating rigorous workflow documentation;
- integrate statistical principles, methods, techniques and tools covered in this subject to plan and execute a statistical analysis.
Subject Assessment
- Written > Examination (centrally administered) - (45%) - Individual
- Written > Test/Quiz 1 - (20%) - Individual
- Written > Problem task - (20%) - Individual
- Oral > Guided discussion - (15%) - Individual.
| Assumed Knowledge: |
Students enrolling in this subject should have a good understanding of level 1 science, including at least two level 1 subjects. |
| Prerequisites: | SC1102 OR SC1109 OR ADMISSION TO BACHELOR OF BUSINESS AND ENVIRONMENTAL SCIENCE OR ADMISSION TO BACHELOR OF ENGINEERING (HONOURS) |
| Inadmissible Subject Combinations: |
BS2001 BS5001 BZ5001 BZ2001 SC2209 SC5202 |
Availabilities |
|
| Cairns, Study Period 1, Internal | |
| Census Date 23-Mar-2023 | |
| Coord/Lect: | Professor Yvette Everingham. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Townsville, Study Period 1, Internal | |
| Census Date 23-Mar-2023 | |
| Coord/Lect: | Professor Yvette Everingham. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Townsville, Study Period 2, Mixed attendance | |
| Census Date 24-Aug-2023 | |
| Face to face teaching (Tutorials throughout the semester) | |
| Coordinator: | Professor Yvette Everingham |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.