| Unit convenor and teaching staff |
Unit convenor and teaching staff
Lecturer
Connor Smith
Contact via email
12WW 617
See iLearn for consultation hours
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|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
|
| Corequisites |
Corequisites
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| Co-badged status |
Co-badged status
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| Unit description |
Unit description
This unit 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 unit is specifically designed for students undertaking majors in Biology, Biotechnology, Chemistry, Human Biology, Earth and Environmental Sciences, and Physiological Sciences. Students enrolling in Astronomy, Physics, Mathematics or Statistical Data Science majors must enrol in FOSE1030, NOT FOSE1025. Learning in this unit enhances student understanding of global challenges identified by the United Nations Sustainable Development Goals (UNSDGs) Industry, Innovation and Infrastructure |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Requirements to Pass this Unit:
To pass this unit, you must:
There are no hurdle assessments for this unit.
We strongly encourage all students to actively participate in all learning activities. Regular engagement is crucial for your success in this unit, as these activities provide opportunities to deepen your understanding of the material, collaborate with peers, and receive valuable feedback from instructors, to assist in completing the unit assessments. Your active participation not only enhances your own learning experience but also contributes to a vibrant and dynamic learning environment for everyone.
Late Assessment Submission Penalty:
5% penalty per day: If you submit your assessment late, 5% of the total possible marks will be deducted for each day (including weekends), up to 7 days.
Example 1 (out of 100): If you score 85/100 but submit 20 hours late, you will lose 5 marks and receive 80/100.
Example 2 (out of 30): If you score 27/30 but submit 1 day late, you will lose 1.5 marks and receive 25.5/30.
After 7 days: Submissions more than 7 days late will receive a mark of 0.
Extensions:
Automatic short extension: Some assessments are eligible for automatic short extension. You can only apply for an automatic short extension before the due date.
Special Consideration: If you need more time due to serious issues and for any assessments that are not eligible for Short Extension, you must apply for Special Consideration.
Need help? Review the Special Consideration page HERE
Assessments where Late Submissions will be accepted.
Special Considerations:
The Special Consideration Policy aims to support students who have been impacted by short-term circumstances or events that are serious, unavoidable and significantly disruptive, and which may affect their performance in assessment. If you experience circumstances or events that affect your ability to complete the assessments in this unit on time, please inform the convenor and submit a Special Consideration request through https://connect.mq.edu.au.
| Name | Weighting | Hurdle | Due | Groupwork/Individual | Short Extension | AI assisted? |
|---|---|---|---|---|---|---|
| Diagnostic Test | 10% | No | Week 4 | Individual | No | Open AI |
| Data Preparation and Manipulation | 40% | No | 08/05/2026 | Individual | No | Observed |
| Reproducibility Project | 50% | No | 05/06/2026 | Individual | No | Open AI |
Assessment Type 1: Examination
Indicative Time on Task 2: 10 hours
Due: Week 4
Weighting: 10%
Groupwork/Individual: Individual
Short extension 3: No
AI assisted?: Open
Testing the basic knowledge of Scientific Computing and the role of data and tools.
Assessment Type 1: Presentation task
Indicative Time on Task 2: 35 hours
Due: 08/05/2026
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: No
AI assisted?: Observed
Clean and prepare data for scientific questions using appropiate tools. Explain and demonstrate the understanding in a video presentation.
Assessment Type 1: Portfolio
Indicative Time on Task 2: 40 hours
Due: 05/06/2026
Weighting: 50%
Groupwork/Individual: Individual
Short extension 3: No
AI assisted?: Open
Given a dataset and a specific question, clean and process the data, analyze the results, and thoroughly document the steps to ensure reproducibility.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.
3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.
Students should enrol in and attend the following classes each week:
The timetable for classes can be found on the University website at: https://publish.mq.edu.au
Enrolment can be managed using eStudent at: https://students.mq.edu.au/support/technology/systems/estudent
We will communicate with you via your university email or through announcements on iLearn. Instructions for seeking assistance can be located on the FOSE1025 iLearn page in a dedicated section.
This unit does not require a textbook. Each week, review the assigned supporting materials, which will be accessible through iLearn.
All unit material is delivered through iLearn. The link may be found at http://ilearn.mq.edu.au. This unit will use the following software:
| Week | Lecture Topic |
| 1 | Computing in Science |
| 2 | Basic Concepts in Computing |
| 3 | Data Cleaning and Manipulation in Excel |
| 4 | Data Analysis and Formulas in Excel |
| 5 | Data Visualisation in Excel |
| 6 | Advanced Excel Techniques and Data Preparation Workflows |
| 7 | Introduction to R and RStudio |
| 8 | Data Preparation in R |
| 9 | Data Processing in R |
| 10 | Data Presentation in R |
| 11 | Ethics and AI use |
| 12 | Presenting and Reporting |
| 13 | Revision week |
The topics listed above cover all material addressed in this unit. The order in which this information is presented in lectures may not match the above list.
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Taking on feedback from previous students, this unit will undergo a significant change in lecture slides, notes, and SGTA material. The underlying topics and concepts within the unit remain the same as the last offering.
We value student feedback to be able to continually improve the way we offer our units. As such we encourage students to provide constructive feedback via student surveys, to the teaching staff directly, or via the FSE Student Experience & Feedback link in the iLearn page. We will continue to strive to improve the level of support and the level of student engagement.
Unit information based on version 2026.03 of the Handbook