Undergraduate MAQ-FOSX1025-2022
Scientific Computing
$1,050 $1,295
Your upfront cost: $0
Duration
18 weeks
Study method
100% Online
Available loans
- HECS-HELP
- FEE-HELP
Assessments
100% online
Prior study
Not required
Start dates
- 25 Jul 2022
QS RANKING 2022
13
Times Higher Education Ranking 2022
11
Subject details
On successful completion of this subject, you 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.
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- A week-by-week guide to the topics you will explore in this subject will be provided in your study materials.
Others
NCCW (2020 and onwards) FOSE1025 Scientific Computing
Additional requirements
- Other requirements -
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 Students with an Academic Standing of Suspension or Exclusion who have enrolled in subjects through OUA will be withdrawn.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%)
- Participation in class (0%)
- Foundation activities (0%)
Current study term: 24 Jul 22 to 06 Nov 22
Check the learning management system (LMS) of your university for textbook details.
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