Outline

Overview

This unit starts with an investigation of linearity: linear functions, general principles relating to the solution sets of homogeneous and inhomogeneous linear equations (including differential equations), linear independence and the dimension of a linear space. The study of eigenvalues and eigenvectors, begun in junior level linear algebra, is extended and developed. The unit then moves on to topics from vector calculus, including vector-valued functions (parametrised curves and surfaces; vector fields; div, grad and curl; gradient fields and potential functions), line integrals (arc length; work; path-independent integrals and conservative fields; flux across a curve), iterated integrals (double and triple integrals; polar, cylindrical and spherical coordinates; areas, volumes and mass; Green's Theorem), flux integrals (flow through a surface; flux integrals through a surface defined by a function of two variables, though cylinders, spheres and parametrised surfaces), Gauss' Divergence Theorem and Stokes' Theorem.

Unit details and rules

Unit code	MATH2061
Academic unit	Mathematics and Statistics Academic Operations
Credit points	6
Prohibitions ?	MATH2961 or MATH2067 or MATH2021 or MATH2921 or MATH2022 or MATH2922
Prerequisites ?	(MATH1X21 or MATH1011 or MATH1931 or MATH1X01 or MATH1906) and (MATH1014 or MATH1X02) and (MATH1X23 or MATH1933 or MATH1X03 or MATH1907)
Corequisites ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Haotian Wu, haotian.wu@sydney.edu.au
Lecturer(s)	Haotian Wu, haotian.wu@sydney.edu.au
Lecturer(s)	Laurentiu Paunescu, laurentiu.paunescu@sydney.edu.au

Type	Description	Weight	Due	Length
Supervised exam ?	Final exam Supervised exam	60%	Formal exam period	2 hours
Outcomes assessed:
Tutorial quiz	Linear Algebra Quiz Quiz	15%	Week 06 Due date: 29 Mar 2023 at 17:00	40 minutes
Outcomes assessed:
Assignment	Linear Algebra Assignment Assignment	5%	Week 06 Due date: 27 Mar 2023 at 23:59	Students given at least 1.5 weeks
Outcomes assessed:
Assignment	Vector Calculus Assignment Assignment	5%	Week 11 Due date: 08 May 2023 at 23:59	Students given at least 1.5 weeks
Outcomes assessed:
Tutorial quiz	Vector Calculus Quiz Quiz	15%	Week 13 Due date: 24 May 2023 at 17:00	40 minutes
Outcomes assessed:

Assessment summary

Quizzes: Two quizzes will be held online through Canvas. The quizzes are 40 minutes long and held during practice sessions. Detailed information for each quiz will be available on Canvas. Please submit an application for Special Consideration or Special Arrangements if you miss a quiz.
Assignments: There are two assignments. Each assignment must be submitted electronically, as one single typeset or scanned PDF file only via the 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 penalties according to the University policy. Detailed information for each assignment will be available on Canvas.
Final Exam: There is one supervised final exam to this unit of study held in the exam period. Further information about the exam will be made available on Canvas before the exam. If a second replacement exam is required, this exam may be delivered via an alternative assessment method, such as a viva voce (oral exam). The alternative assessment will meet the same learning outcomes as the original exam. The format of the alternative assessment will be determined by the unit coordinator.

Detailed information for each assessment will be available 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.

For more information see 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.

Academic integrity

The Current Student website provides information on academic integrity 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 integrity breaches seriously.

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

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	Linear systems, Gaussian elimination, vector spaces and subspaces	Lecture and tutorial (4 hr)
Week 01	Linear systems, Gaussian elimination, vector spaces and subspaces	Seminar (1 hr)
Week 02	Subspaces, linear combinations, span,linear dependence and independence	Lecture and tutorial (4 hr)
Week 02	Subspaces, linear combinations, span,linear dependence and independence	Seminar (1 hr)
Week 03	Linear dependence and independence, span, basis and dimension	Lecture and tutorial (4 hr)
Week 03	Linear dependence and independence, span, basis and dimension	Seminar (1 hr)
Week 04	Basis and dimension, Lagrange interpolation, column space, null space, rank, nullity and linear transformations	Lecture and tutorial (4 hr)
Week 04	Basis and dimension, Lagrange interpolation, column space, null space, rank, nullity and linear transformations	Seminar (1 hr)
Week 05	Eigenvalues and eigenvectors, diagonalisation theorem and Leslie population model	Lecture and tutorial (4 hr)
Week 05	Eigenvalues and eigenvectors, diagonalisation theorem and Leslie population model	Seminar (1 hr)
Week 06	Recurrence relations and systems of linear differential equations	Lecture and tutorial (4 hr)
Week 06	Recurrence relations and systems of linear differential equations	Seminar (1 hr)
Week 07	Vector equations of lines and curves (revision), arc length, two types of line integrals and work done by a force	Lecture and tutorial (4 hr)
Week 07	Vector equations of lines and curves (revision), arc length and two types of line integrals and work done by a force	Seminar (1 hr)
Week 08	Vector fields, grad and curl, normals to surfaces, conservative fields and potential functions	Lecture and tutorial (4 hr)
Week 08	Vector fields, grad and curl, normals to surfaces, conservative fields and potential functions	Seminar (1 hr)
Week 09	Double integrals, area, volume and mass. Div (divergence of a vector field), green’s theorem and flux across a curve	Lecture and tutorial (4 hr)
Week 09	Double integrals, area, volume and mass. Div (divergence of a vector field), green’s theorem and flux across a curve	Seminar (1 hr)
Week 10	Green’s theorem continued., surface area, surface integrals, flux across a surface, polar, cylindrical and spherical coordinates	Lecture and tutorial (4 hr)
Week 10	Green’s theorem continued., surface area, surface integrals, flux across a surface, polar, cylindrical and spherical coordinates	Seminar (1 hr)
Week 11	Triple integrals., volume and mass revisited and Gauss’ divergence theorem	Lecture and tutorial (4 hr)
Week 11	Triple integrals., volume and mass revisited and Gauss’ divergence theorem	Seminar (1 hr)
Week 12	Triple integrals in cylindrical/spherical coordinates, stokes’ theorem and connections between different types of integrals	Lecture and tutorial (4 hr)
Week 12	Triple integrals in cylindrical/spherical coordinates, stokes’ theorem and connections between different types of integrals	Seminar (1 hr)
Week 13	Revision	Lecture and tutorial (4 hr)

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 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

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.

Outcomes
Graduate qualities

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

LO1. solve a system of linear equations
LO2. apply the subspace test in several different vector spaces
LO3. calculate the span of a given set of vectors in various vector spaces
LO4. test sets of vectors for linear independence and dependence
LO5. find bases of vector spaces and subspaces
LO6. find a polynomial of minimum degree that fits a set of points exactly
LO7. find bases of the fundamental subspaces of a matrix
LO8. test whether an n × n matrix is diagonalisable, and if it is find its diagonal form
LO9. apply diagonalisation to solve recurrence relations and systems of DEs
LO10. extended (from first year) their knowledge of vectors in two and three dimensions, and of functions of several variables
LO11. evaluate certain line integrals, double integrals, surface integrals and triple integrals
LO12. evaluate certain line integrals, double integrals, surface integrals and triple integrals
LO13. understand the physical and geometrical significance of these integrals
LO14. know how to use the important theorems of Green, Gauss and Stokes.

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
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Information on assessments has been updated since this unit was last offered.

Additional information

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.

General Laboratory Safety Rules

No eating or drinking is allowed in any laboratory under any circumstances
A laboratory coat and closed-toe shoes are mandatory
Follow safety instructions in your manual and posted in laboratories
In case of fire, follow instructions posted outside the laboratory door
First aid kits, eye wash and fire extinguishers are located in or immediately outside each laboratory
As a precautionary measure, it is recommended that you have a current tetanus immunisation. This can be obtained from University Health Service: unihealth.usyd.edu.au/

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.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

MATH2061: Linear Mathematics and Vector Calculus

Semester 1, 2023 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect