SC5202 - Quantitative Methods in Science
Credit points: |
3 |
Year: |
2021 |
Student Contribution Band: |
Band
|
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) - (50%) - Individual
- Written > Test/Quiz 1 - (10%) - Individual
- Written > Examination (College administered) - (20%) - Individual
- Written > Field report - (20%) - Individual.
Inadmissible Subject Combinations:
|
BS2001 BS5001 BZ5001 BZ2001 SC2202 SC2209 |
Availabilities
|
Townsville,
Internal,
Study Period 1
|
Census Date 25-Mar-2021 |
Coordinator: |
Assoc. Professor Will Edwards |
Lecturers:
|
Assoc. Professor Will Edwards, Dr Megan Higgie, Professor Yvette Everingham. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 2 hours - Test
- 26 hours online collaboration sessions
- 4 hours online workshops
- assessment and self-directed study
|
|
|
Cairns,
Internal,
Study Period 1
|
Census Date 25-Mar-2021 |
Coordinator: |
Assoc. Professor Will Edwards |
Lecturers:
|
Assoc. Professor Will Edwards, Dr Megan Higgie. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 2 hours - test
- 26 hours online collaboration sessions
- 4 hours online workshops
- assessment and self-directed study
|
|
|
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.