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SC2202 - Quantitative Methods in Science
| Credit points: | 3 |
| Year: | 2020 |
| Student Contribution Band: | Band 2 |
| 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
- to develop the necessary computer skills for data management, analysis and graphical presentation;
- to develop skills in selecting and applying appropriate analytical methods to scientific data;
- to develop skills in the design, execution and reporting of scientific experiments and survey programs.
Subject Assessment
- tutorial exams - (25%)
- field assignments - (50%)
- lecture exams - (25%).
| Assumed Knowledge: |
Students enrolling in this subject should have a good understanding of level 1 science, including at least two level 1 subjects. |
| Prerequisites: | 6 credit points of level 1 subjects |
| Inadmissible Subject Combinations: |
BS2001 BS5001 BZ5001 BZ2001 SC2209 SC5202 |
Availabilities |
|
| Townsville, Internal, Study Period 1 | |
| Census Date 26-Mar-2020 | |
| Coordinator: | Professor Yvette Everingham |
| 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.
|
| Townsville, Mixed attendance, Study Period 2 | |
| Census Date 27-Aug-2020 | |
| Face to face teaching (Tutorials throughout the semester) | |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Cairns, Internal, Study Period 1 | |
| Census Date 26-Mar-2020 | |
| Coordinator: | Professor Yvette Everingham |
| Lecturers: | Assoc. Professor Will Edwards, Dr Megan Higgie, Dr Ana Palma Gartner, 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.