Your upfront cost: $0
- 27 Jul 2020
This research-intensive university in north-western Sydney offers a range of undergraduate and postgraduate degrees. With over 30,000 current students, Macquarie has a strong reputation for welcoming international students and embracing flexible and convenient study options, including its partnership with Open Universities Australia.
On successful completion, a student will be able to:
- demonstrate foundational knowledge of the role of data, computing and computing tools for science
- determine the appropriate computing tool for the key stages of data manipulation
- prepare and clean data so that it can be processed by computer tools
- communicate the steps performed in the preparation and processing of data so that they can be reproduced
- explain the ethical implications of the use of computers for gathering, processing, and storing data
- demonstrate foundational employability and self-directed learning skills, including recording academic achievements to link university study to future careers.
- A week-by-week guide to the topics you will explore in this subject will be provided in your study materials.
In order to enrol in this subject, you must be accepted into one of the following degrees:
- OtherDetails -
Students who have an Academic Standing of Suspension or Exclusion under Macquarie University's Academic Progression Policy are not permitted to enrol in OUA subjects offered by Macquarie University. Students with an Academic Standing of Suspension or Exclusion who have enrolled in subjects through OUA will be withdrawn.
This subject introduces essential concepts and techniques of computing for conducting science, with special emphasis on the preparation and manipulation of data. We discuss the role of computers and computing tools in science and focus on the use of spreadsheets and other data manipulation tools. This subject introduces vital skills for tertiary learning and explores their relationship to success in future careers.
Quiz/Test: One in-class quiz for each principal module: 1. computing, 2. data preparation, 3. presentation and reproducibility, 4. ethics Project and Portfolio: Peer assessment of a project in several stages: 1. data preparation, 2. processing, 3. presentation Reproducibility Project: Peer assessment of the reproducibility of a project
- Quiz/Test (60%)
- Project and Portfolio (30%)
- Reproducibility Project (10%)
Textbook information is pending.