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Unit of study_

MATH1014: Introduction to Linear Algebra

Semester 2, 2022 [Normal day] - Camperdown/Darlington, Sydney

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.

Unit details and rules

Unit code MATH1014
Academic unit Mathematics and Statistics Academic Operations
Credit points 3
MATH1002 or MATH1902
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


Teaching staff

Coordinator Alexander Molev,
Lecturer(s) Ruibin Zhang,
Alexander Molev,
Type Description Weight Due Length
Final exam (Record+) Type B final exam Exam
multiple choice and written answers
60% Formal exam period 1.5 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Assignment Assignment 1
written calculations
5% Week 03
Due date: 19 Aug 2022 at 23:59

Closing date: 29 Aug 2022
10 days
Outcomes assessed: LO1 LO2
Online task Quiz 1
multiple choice or written answers
12.5% Week 05
Due date: 30 Aug 2022 at 23:29

Closing date: 30 Aug 2022
40 minutes
Outcomes assessed: LO1 LO4 LO3 LO2
Assignment Assignment 2
written calculations
10% Week 07
Due date: 16 Sep 2022 at 23:59

Closing date: 26 Sep 2022
10 days
Outcomes assessed: LO3 LO6 LO5 LO4
Online task Quiz 2
multiple choice or written answers
12.5% Week 10
Due date: 11 Oct 2022 at 23:59

Closing date: 11 Oct 2022
40 minutes
Outcomes assessed: LO5 LO9 LO8 LO7 LO6
Type B final exam = Type B final exam ?

Assessment summary

  • 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. A mark of zero will be awarded for all submissions more than 10 days past the original due date. Further extensions past this time will not be permitted.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. 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.
  • Simple extensions : No simple extensions are given in first year units in the School of Mathematics and Statistics.

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


High distinction

85 - 100

Representing complete or close to complete mastery of the material.


75 - 84

Representing excellence, but substantially less than complete mastery.


65 - 74

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


50 - 64

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


0 - 49

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

For more information see

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.

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.

WK Topic Learning activity Learning outcomes
Week 01 Geometry and algebra of vectors Lecture and tutorial (3 hr) LO1
Week 02 Length, dot product, cross product Lecture and tutorial (3 hr) LO2
Week 03 Lines and planes Lecture and tutorial (3 hr) LO3
Week 04 Modular arithmetic Lecture and tutorial (3 hr) LO4
Week 05 Code Vectors. Systems of linear equations Lecture and tutorial (3 hr) LO5
Week 06 Gaussian and Gauss-Jordan Elimination and applications Lecture and tutorial (3 hr) LO6 LO7
Week 07 Matrices Lecture and tutorial (3 hr) LO8
Week 08 The inverse of a matrix Lecture and tutorial (3 hr) LO8
Week 09 Markov chains Lecture and tutorial (3 hr) LO9
Week 10 Leslie population models. Introduction to eigenvalues and eigenvectors Lecture and tutorial (3 hr) LO10 LO11
Week 11 Determinants Lecture and tutorial (3 hr) LO11
Week 12 Eigenvalues and eigenvectors Lecture and tutorial (3 hr) LO11
Week 13 Revision Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 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

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

Minor changes were made to the weightings for the assignments and final exam.

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.


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.