Unit convenor and teaching staff |
Unit convenor and teaching staff
Lecturer
Rod Yager
Contact via rod.yager@mq.edu.au
AHH 2.617
By appointment
Lecturer
David Bulger
Contact via david.bulger@mq.edu.au
AHH 2.361
From Week 9: Monday 12-1, Wednesday 10-11 or by appointment
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit provides an introduction to the basic quantitative methods and techniques common to much of Science. In this unit, you will learn how to formulate scientific problems using mathematical and statistical language; be equipped with a range of techniques to analyse and solve these problems, and gain an understanding of how to interpret the solutions obtained. Amongst other topics, this unit will cover rates of change, graphical display and interpretation of data, logarithmic and exponential scales, basic statistical ideas; all in the context of scientific measurement and analysis.
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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:
Name | Weighting | Due |
---|---|---|
Weekly exercises | 20% | Weekly |
Assignment 1 | 20% | Week 7 |
Assignment 2 | 20% | Week 11 |
Final Examination | 40% | Exam period |
Due: Weekly
Weighting: 20%
Each week's tutorial will include a number of problems to be handed in for marking
Due: Week 7
Weighting: 20%
Assignment related to topics covered before the session break
Due: Week 11
Weighting: 20%
Assignment covering later topics
Due: Exam period
Weighting: 40%
2 hour written examination
Week 1 | Computation and Measurement in Science |
Week 2 | Predictions and theories in Science |
Week 3 | Displaying data and interpreting graphs in Science |
Week 4 | Oscillations, growth and decay in Science |
Week 5 | Measuring rates of change in Science |
Week 6 | Optimisation in Science |
Week 7 |
Accumulation of change in Science |
Week 8 | Predicting outcomes based on theories relating to change in Science |
Week 9 | Describing collections of data in Science |
Week 10 | Random variation and chance in Science |
Week 11 | Using statistical tests to validate theories in Science |
Week 12 | Transforming data into a mathematical model in Science |
Macquarie University policies and procedures are accessible from Policy Central. Students should be aware of the following policies in particular with regard to Learning and Teaching:
Academic Honesty Policy http://mq.edu.au/policy/docs/academic_honesty/policy.html
New Assessment Policy in effect from Session 2 2016 http://mq.edu.au/policy/docs/assessment/policy_2016.html. For more information visit http://students.mq.edu.au/events/2016/07/19/new_assessment_policy_in_place_from_session_2/
Assessment Policy prior to Session 2 2016 http://mq.edu.au/policy/docs/assessment/policy.html
Grading Policy prior to Session 2 2016 http://mq.edu.au/policy/docs/grading/policy.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Complaint Management Procedure for Students and Members of the Public http://www.mq.edu.au/policy/docs/complaint_management/procedure.html
Disruption to Studies Policy http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.
In addition, a number of other policies can be found in the Learning and Teaching Category of Policy Central.
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This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by: