MATH2922 Linear and Abstract Algebra (advanced)
General Information
This page contains information on the intermediate unit of study MATH2922 Linear and Abstract Algebra (advanced).
This unit is offered in Semester 1.
Lecturer(s): Zsuzsanna Dancso
For further information on Intermediate Mathematics and Statistics, refer to the Intermediate Handbook. In particular, see the MATH2922 handbook entry for further information relating to MATH2922.
You may also view the description of MATH2922 in the central units of study database.
 Credit point value: 6CP.
 Classes per week: Three lectures, one tutorial and practice class.
For enrolled students or other authorized people only, here is a link to the Canvas page for MATH2922.
Email enquiries about MATH2922 may be sent to MATH2922@sydney.edu.au.
Students: Please give your name and SID when emailing us. Anonymous emails will not be replied to.
Students have the right to appeal any academic decision made by the School or Faculty. For further information, see the Science Faculty web site.
Course Description
Linear and abstract algebra is one of the cornerstones of mathematics and it is at the heart of many applications of mathematics and statistics in the sciences and engineering. This unit is an advanced version of MATH2022, with more emphasis on the underlying concepts and on mathematical rigour. This unit investigates and explores properties of groups, fields, vector spaces, matrices and linear transformations, developing general principles relating to the solution sets of homogeneous and inhomogeneous linear equations, including differential equations. Linear independence is introduced as a way of understanding and solving linear systems of arbitrary dimension. Linear operators on real spaces are investigated, paying particular attention to the geometrical significance of eigenvalues and eigenvectors, extending ideas from first year linear algebra. To better understand symmetry, matrix and permutation groups are introduced and used to motivate the study of abstract group theory. The unit culminates in studying inner product spaces, quadratic forms and normal forms of matrices together with their applications to problems both in mathematics and in the sciences and engineering.
Assumed Knowledge: A working knowledge of the linear algebra components of advanced first year mathematics.
There are three lectures, one practice class and one tutorial each week. Tutorials start in week 1.
All online resources, including lecture summaries and the questions solutions for the tutorials and assignments, will be available for download from the MATH2922 the online resources page.Tutorials
You should attend at the time and place given on your timetable. See the timetable for the tutorial times. Please always take your lecture notes to the tutorial, so you can look up what you need to solve the problems.
Tutorial sheets are available online as PDF files from the resources page on the Friday of the week before the tutorial takes place. No hard copies will be distributed.
Tutorials are an integral part of the course. You can only learn mathematics by doing problems yourself, so attending tutorials is essential for performing well in the course.
Assessment
The assessment tasks for MATH2922 are weekly online quizzes, two assignments and a final exam. The breakdown of marks is as follows:
 Weekly online quizzes  10%

Each week you should complete the weekly online quiz by the due date given on the
resources page.
The questions in the quiz are drawn from material covered in lectures in the previous week. The questions are chosen from a random pool, so that everyone will receive slightly different questions. You can take the quiz as many times as you like. Your best quiz mark before the due date will be recorded. At the end of semester your ten best quiz marks will be used to give you a mark out of 10 that will contribute 10% towards your total assessment.
You have one hour to complete each quiz. If you start a quiz within an hour of the closing time, you will only get the remaining time to complete it (not the full hour). After the quiz has closed you will be able to review your answers and you will be given the solutions.
 Assignments  20%

There will be two assignments, each worth 10%. They are due on the
following dates:
Assignment 1: Monday 12th April
Assignment 2: Monday 24th May
All assignments must be submitted electronically as PDF files in Canvas. Late assignments, or assignments that illegible or poorly scanned, will not be marked.
 Final exam  70%
 There will be a twohour final exam. Only material covered in lectures and tutorials will be tested using questions addressing the outcomes listed in the unit outline. The exam will also contain questions on the theory and proofs, and not just problems to solve.
Please do not post direct questions about the online quizzes or the assignment questions on the EdStem discussion forum. A mark of 0 for the assessment task may be awarded to any student who does this. You are encouraged to ask questions in the forum about the quizzes and the assignments one week after the due date for the assessment task.
The university rules for special consideration/arrangement apply to all assessments. There is no need to apply for special consideration if you miss a lecture, practice class or tutorial. Special consideration requests for not submitting an online quiz will be considered only in truly exceptional cases because the final quiz mark is calculated using your best 10 quiz results, out of a possible 13 quizzes. The maximal possible extension for an assignment is 7 days.
Reference Books
 D. Daners, Linear algebra, lecture notes for MATH2922. Available from Kopystop
 I. N. Herstein, Topics in Algebra, Lexington, Mass., 1975.
 I. N. Herstein, Abstract Algebra, New York, Wiley, 1999.
 D. Poole, Linear algebra: a modern introduction, Belmont, CA, 2006.
 N. Lauritzen, Concrete Abstract Algebra, Cambridge University Press, 2003.
 W. Ledermann, Introduction to the Theory of Finite Groups, Edinburgh, 1964.
 S. Axler, Linear Algebra done Right, Springer, NY 1997.
 C. W. Curtis, Linear Algebra: an introductory approach, SpringerVerlag, N.Y. 1984.
 M. O'Nan, Linear Algebra, Harcourt, N.Y. 1976.
Finally, the Open Textbook Initiative of the American Institute of Mathematics is a very useful repository of (free) open source mathematics books. In particular, if you go to the approved textbook section you can download several books on linear and abstract algebra.