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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

MATH1013: Mathematical Modelling

MATH1013 is designed for science students who do not intend to undertake higher year mathematics and statistics. In this unit of study students learn how to construct, interpret and solve simple differential equations and recurrence relations. Specific techniques include separation of variables, partial fractions and first and second order linear equations with constant coefficients. Students are also shown how to iteratively improve approximate numerical solutions to equations.

Details

Academic unit Mathematics and Statistics Academic Operations
Unit code MATH1013
Unit name Mathematical Modelling
Session, year
? 
Intensive February, 2021
Attendance mode Block mode
Location Camperdown/Darlington, Sydney
Credit points 3

Enrolment rules

Prohibitions
? 
MATH1003 or MATH1903 or MATH1907 or MATH1023 or MATH1923 or MATH1933
Prerequisites
? 
None
Corequisites
? 
None
Assumed knowledge
? 

HSC Mathematics or a credit or higher in MATH1111. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). Please note: this unit does not normally lead to a major in Mathematics or Statistics or Financial Mathematics and Statistics.

Available to study abroad and exchange students

No

Teaching staff and contact details

Coordinator Daniel Hauer, daniel.hauer@sydney.edu.au
Lecturer(s) Pantea Pooladvand , pantea.pooladvand@sydney.edu.au
Administrative staff MATH1013@sydney.edu.au Please use this email address for all correspondence regarding MATH1013. It goes to the unit coordinator, the lecturers as well as administrative staff.
Type Description Weight Due Length
Assignment Assignment 1
written calculations
2.5% Week 02
Due date: 26 Jan 2021

Closing date: 02 Feb 2021
7 days
Outcomes assessed: LO1 LO2 LO3 LO4
Online task Quiz 1
multiple choice or written answers
12.5% Week 03
Due date: 03 Feb 2021
40 minutes
Outcomes assessed: LO1 LO2 LO3 LO4 LO5
Assignment Assignment 2
written calculations
7.5% Week 04
Due date: 09 Feb 2021

Closing date: 16 Feb 2021
7 days
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
Online task Quiz 2
multiple choice or written answers
12.5% Week 05
Due date: 18 Feb 2021
40 minutes
Outcomes assessed: LO6 LO7 LO8 LO9
Final exam (Open book) Type C final exam Final exam
multiple choice and written answers
65% Week 06
Due date: 24 Feb 2021
1.5 hours
Outcomes assessed: LO1 LO9 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Type C final exam = Type C final exam ?
  • Quizzes: Two quizzes will be held online through Canvas. The quizzes are 40 Minutes and are scheduled during one of the tutorials. The better mark principle will be used for the quizzes so do not submit an application for Special Consideration or Special Arrangements if you miss a quiz. The better mark principle means that for each quiz, the quiz counts if and only if it is better than or equal to your exam mark. If your quiz mark is less than your exam mark, the exam mark will be used for that portion of your assessment instead.
  • Assignments: There are two assignments. Each assignment must be submitted electronically, as one single typeset or scanned PDF file only, via Canvas by the deadline. Note that your assignment will not be marked if it is illegible or if it is submitted sideways or upside down. It is your responsibility to check that your assignment has been submitted correctly and that it is complete (check that you can view each page). Late submissions will receive a penalty.
  • Final Exam: There is one final exam to this unit of study scheduled in week 6. Further information about the exam will be made available at a later date on Canvas.

    Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

Representing complete or close to complete mastery of the material.

Distinction

75 - 84

Representing excellence, but substantially less than complete mastery.

Credit

65 - 74

Representing a creditable performance that goes beyond routine knowledge and understanding, but less than excellence.

Pass

50 - 64

Representing at least routine knowledge and understanding over a spectrum of topics and important ideas and concepts in the course.

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see sydney.edu.au/students/guide-to-grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, and the resources available to all students.

The University expects students and staff to act ethically and honestly and will treat all allegations of academic dishonesty or plagiarism seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic dishonesty. If such matches indicate evidence of plagiarism or other forms of dishonesty, your teacher is required to report your work for further investigation.

WK Topic Learning activity Learning outcomes
Week 01 1. Assumed knowledge for differential equations; 2. Intro to differential equations (general and particular solutions) (2 hr) LO1 LO2
1. Equilibrium (steady-state) solutions for differential equations; 2. Stability of equilibria for differential equations (graphical method) (2 hr) LO3
Week 02 1. Separation of variables; 2. Simple linear models (2 hr) LO4
1. Partial fractions; 2. The logistic function (2 hr) LO5
Week 03 1. Applications of logistic models; 2. More applications of logistic models (2 hr) LO5
1. Assumed knowledge for arithmetic and geometric sequences; 2. Intro to recurrence relations (general and particular solutions) (2 hr) LO8
Week 04 1. Equilibrium (fixed-point) solutions; 2. Stability of fixed points (2 hr) LO3
1. Numerical solution of equations; 2. Fixed-point iteration (Gregory–Dary method) (2 hr) LO7 LO8
1. Behaviour of logistic map; 2. Applications of logistic map (2 hr)  
Week 05 1. Second-order equations; 2. The characteristic quadratic (positive discriminants only) (2 hr) LO9
1. Pairs of first-order differential equations; 2. Pairs of first-order recurrence equations (2 hr) LO9
1. The characteristic equation (negative discriminants); 2. Oscillating (trigonometric) solutions (2 hr) LO9

Attendance and class requirements

  • Attendance: Students are expected to attend a minimum of 80% of timetabled activities for a unit of study, unless granted exemption by the Associate Dean. For some units of study the minimum attendance requirement, as specified in the relevant table of units or the unit of study outline, may be greater than 80%.
  • Tutorial attendance:  You should attend the tutorial given on your personal timetable. Attendance at tutorials will be recorded. Your attendance will not be recorded unless you attend the tutorial in which you are enrolled.  While there is no penalty if 80% attendance is not met we strongly recommend you attend tutorials regularly to keep up with the material and to engage with the tutorial questions. Since there is no assessment associated with the tutorials do not submit an application for Special Consideration or Special Arrangements for missed tutorials.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 3 credit point unit, this equates to roughly 60-75 hours of student effort in total.

Required readings

  • L. Poladian. Mathematical Modelling. School of Mathematics and Statistics, University of Sydney, Sydney, NSW, Australia, 2011. Available from Kopystop. (also available as a PDF through Canvas)
     

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University’s graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. write down general and particular solutions to simple differential equations and recurrence relations describing models of growth and decay
  • LO2. determine the order of a differential equation or recurrence relation
  • LO3. find equilibrium solutions and analyse their stability using both graphical methods and slope conditions
  • LO4. recognise and solve separable first-order differential equations
  • LO5. use partial fractions and separation of variables to solve certain nonlinear differential equations, including the logistic equation
  • LO6. use a variety of graphical and numerical techniques to locate and count solutions to equations
  • LO7. solve equations numerically by fixed-point iteration, including checking if an iteration method is stable
  • LO8. explore sequences numerically, and classify their long-term behaviour
  • LO9. determine the general solution to linear second-order equations or simultaneous pairs of first order equations with constant coefficients.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
The weighting of assignment 2 was increased.

Work, health and safety

We are governed by the Work Health and Safety Act 2011, Work Health and Safety Regulation 2011 and Codes of Practice. Penalties for non-compliance have increased. Everyone has a responsibility for health and safety at work. The University’s Work Health and Safety policy explains the responsibilities and expectations of workers and others, and the procedures for managing WHS risks associated with University activities.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.