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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_

MATH1014: Introduction to Linear Algebra

This unit is an introduction to Linear Algebra. Topics covered include vectors, systems of linear equations, matrices, eigenvalues and eigenvectors. Applications in life and technological sciences are emphasised.

Details

Academic unit Mathematics and Statistics Academic Operations
Unit code MATH1014
Unit name Introduction to Linear Algebra
Session, year
? 
Semester 2, 2020
Attendance mode Normal day
Location Camperdown/Darlington, Sydney
Credit points 3

Enrolment rules

Prohibitions
? 
MATH1002 or MATH1902
Prerequisites
? 
None
Corequisites
? 
None
Assumed knowledge
? 

Coordinate geometry, basic integral and differential calculus, polynomial equations and algebraic manipulations, equivalent to HSC Mathematics

Available to study abroad and exchange students

Yes

Teaching staff and contact details

Coordinator Daniel Daners, daniel.daners@sydney.edu.au
Lecturer(s) Anet Jorim Norbert Anelone , anet.anelone@sydney.edu.au
Yusra Fatima Naqvi, yusra.naqvi@sydney.edu.au
Zsuzsanna Dancso, zsuzsanna.dancso@sydney.edu.au
Administrative staff MATH1014@sydney.edu.au Please send all email regarding MATH1014 to this address. It goes to the unit of study coordinator, the lecturers and administrative support.
Type Description Weight Due Length
Final exam (Open book) Type C final exam Exam
multiple choice and written answers
65% Formal exam period 1.5 hours
Outcomes assessed: LO1 LO11 LO10 LO9 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Assignment Assignment 1
written calculations
2.5% Week 03
Due date: 11 Sep 2020

Closing date: 21 Sep 2020
10 days
Outcomes assessed: LO1 LO3 LO2
Online task Quiz 1
multiple choice or written answers
12.5% Week 05
Due date: 24 Sep 2020

Closing date: 24 Sep 2020
40 minutes
Outcomes assessed: LO1 LO4 LO3 LO2
Assignment Assignment 2
written calculations
7.5% Week 07
Due date: 16 Oct 2020

Closing date: 26 Oct 2020
10 days
Outcomes assessed: LO6 LO8 LO7
Tutorial quiz Quiz 2
multiple choice or written answers
12.5% Week 10
Due date: 05 Nov 2020

Closing date: 05 Nov 2020
40 minutes
Outcomes assessed: LO5 LO10 LO9 LO8 LO7 LO6
Type C final exam = Type C final exam ?
  • Quizzes: Two quizzes will be held online through Canvas. The quizzes are 40 Minutes and have to be submitted by the closing time of 23:59 on the due date. The quiz can be taken any time during the 24 hour period before the closing time. 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 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 a penalty. Detailed information for each assessment can be found on Canvas.
  • Final Exam:  There is one examination during the examination period at the end of Semester. 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 Geometry and algebra of vectors (3 hr) LO1
Week 02 Length, dot product, cross product (3 hr) LO2
Week 03 Lines and planes (3 hr) LO3
Week 04 Modular arithmetic (3 hr) LO4
Week 05 Code Vectors. Systems of linear equations (3 hr) LO5
Week 06 Gaussian and Gauss-Jordan Elimination and applications (3 hr) LO6 LO7
Week 07 Matrices (3 hr) LO8
Week 08 The inverse of a matrix (3 hr) LO8
Week 09 Markov chains (3 hr) LO9
Week 10 Leslie population models. Introduction to eigenvalues and eigenvectors (3 hr) LO10 LO11
Week 11 Determinants (3 hr) LO11
Week 12 Eigenvalues and eigenvectors (3 hr) LO11

Attendance and class requirements

  • Attendance: Unless otherwise indicated, 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%. The Associate Dean may determine that a student has failed a unit of study because of inadequate attendance.
  • Tutorial attendance: Tutorials (one per week) start in Week 1. 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

  • Recommended text: A First Course in Linear Algebra, 3rd edition, by David Easdown.

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. represent vectors both algebraically and geometrically in R2 and R3
  • LO2. perform operations on vectors (addition, scalar multiplication, dot and cross products)
  • LO3. find equations of lines and planes in R3
  • LO4. perform arithmetic operations in Zn
  • LO5. understand how to use a check digit code vector
  • LO6. solve systems of linear equations using Gaussian elimination
  • LO7. set up systems of linear equations to model real-world situations
  • LO8. add and multiply matrices, and be able to find inverses
  • LO9. find a steady-state vector for a Markov process
  • LO10. understand how Leslie matrices are used to model population growth
  • LO11. calculate eigenvalues and eigenvectors of 2 × 2 and 3 × 3 matrices.

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
No changes have been made since this unit was last offered.

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.