We've released the new Subject Search, designed to be simpler and faster than the application below.
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.
- 26 hours online activity
- 20 hours online Workshops
- assessment and self-directed study
|
|
|
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.
- 26 hours online activity
- 20 hours online Workshops
- assessment and self-directed study
|
|
|
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.
- 39 hours lectures - online
- 26 hours tutorials
- 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.