• Class Number 7504
  • Term Code 2960
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Dr Griffith Ware
    • Dr Griffith Ware
    • Dr Joan Licata
  • Class Dates
  • Class Start Date 22/07/2019
  • Class End Date 25/10/2019
  • Census Date 31/08/2019
  • Last Date to Enrol 29/07/2019
SELT Survey Results

This course continues on from MATH1115, providing an in-depth development of fundamental concepts of calculus and linear algebra, with a particular emphasis on the underlying foundations of mathematics. The use and understanding of proof and abstract ideas, will allow students to develop analytical skills which will form a base for further study in fundamental mathematics as well as providing a foundation for a wide range of quantitative areas such as computer science, engineering, economics, statistics and physics. 

Topics to be covered include:

Analysis - introduction to metric spaces in the context of the calculus of functions of several variables; double integrals, partial derivatives, gradients and directional derivatives, extreme values; vector functions, curves and parametrizations; infinite series, convergence tests, power series, Taylor series;

Algebra –  theory and application of Euclidean vector spaces, vector spaces, linear independence, bases and dimension, eigenvalues and eigenvectors, orthogonality and least squares.

Note: This is an Honours Pathway Course. It involves extra material and emphasizes the use and understanding of proof and abstract ideas to a deeper conceptual level than MATH1014.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

On satisfying the requirements of this course, students will have the knowledge and skills to:

1. Explain the fundamental concepts of analysis and linear algebra and their role in modern mathematics and applied contexts.
2. Demonstrate accurate and efficient use of analysis and linear algebra techniques.
3. Demonstrate capacity for mathematical reasoning through analyzing, proving and explaining concepts from analysis and linear algebra.
4. Apply problem-solving using analysis and linear algebra techniques applied to diverse situations in physics, engineering and other mathematical contexts.

Examination Material or equipment

Information about examination material will be made available through the Examinations timetable.

Required Resources

  • Linear Algebra Done Right (3rd Edition) by Sheldon Axler. Also available as an eBook from Springer.
  • Essential Calculus (2nd Edition) by James Stewart. Also available as an eBook from Cengage.

Staff Feedback

Students will be given feedback in the following forms in this course:

  • Automatic grading of the online quizzes.
  • Written comments on assignments.
  • Verbal comments on group work in workshops.
  • Lecturers and demonstrators may also give feedback to the whole class, to groups, to individuals, to focus groups.

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Other Information

Please note that where there are multiple assessment tasks of the same type, e.g. weekly quizzes, a date range is used in the Assessment Summary. The first date is the approximate due date of the first task, the return date is the approximate return date for the final task. Further information is provided in the assessment section of the class summary, and details are provided on the course wattle site.

Regarding collaboration when attempting assignments, you are encouraged to discuss the course material with your classmates as an aid to learning. However, every student is responsible for writing up their own solutions: although you may work with others to understand the ingredients in a correct solution, producing the written solutions should be an individual effort. If you work with other students, please acknowledge this collaboration on the first page of your assignment. For example, write, “I discussed Problem 1 with Jane Doe and Problems 3 and 4 with John Doe.” When completing an assignment, you should consult only the textbooks, notes, lecturers, demonstrators, and classmates, as using other sources often compromises the learning goals of the assignment. However, if you use any non-human resources (e.g., Wikipedia, other texts, online resources) besides the course textbooks and notes, you should cite these similarly.

Class Schedule

Week/Session Summary of Activities Assessment
1 Linear algebra content to be covered (time permitting): Vector Spaces (mostly review from MATH1115) Definition of Vector Space Subspaces Span and Linear Independence Bases Dimension Linear Maps The Vector Space of Linear Maps Null Spaces and Ranges Matrices (Representing a Linear Map by a Matrix) Invertibility and Isomorphic Vector Spaces Duality Eigenvalues, Eigenvectors, and Invariant Subspaces Invariant Subspaces Eigenvectors and Upper-Triangular Matrices Eigenspaces and Diagonal Matrices Inner Product Spaces Inner Products and Norms Orthonormal Bases Orthogonal Complements and Minimization Problems Operators on Inner Product Spaces Self-Adjoint and Normal Operators The Spectral Theorem Positive Operators and Isometries Polar Decomposition and Singular Value Decomposition Understanding of the content will be tested regularly and formatively via the weekly assignments, and via the summative exams.
2 Real analysis content to be covered: Improper Integrals Limits and Continuity in R^n Integral Calculus of Functions from R^n to R Differential and Integral Calculus of Functions from R to R^n Differential Calculus of Functions from R^n to R Infinite series of real numbers Understanding of the content will be tested regularly and formatively via the weekly assignments, and via the summative exams.

Tutorial Registration

Workshop registration will be via the course Wattle site. Workshops begin in Week 2.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Weekly Assignments 30 % 31/07/2019 28/11/2019 1,2,3,4
Mid-semester Examination 30 % 27/08/2019 04/10/2019 1,2,3,4
End of Semester Examination 40 % 31/10/2019 28/11/2019 1,2,3,4

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details


ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Assessment Task 1

Value: 30 %
Due Date: 31/07/2019
Return of Assessment: 28/11/2019
Learning Outcomes: 1,2,3,4

Weekly Assignments

Weekly Assignments which involve both an online quiz component (using the WebAssign system) and a written component (submitted online via PDF upload to Wattle) will be due from Week 2 onwards. A student’s worst Assignment score will be discounted, and the average of their remaining Assignment scores will constitute 30% of their overall grade for MATH1116. This is an advanced stream course, so most of your written work will be formal proofs. Writing clear, concise, and compelling arguments is a skill that takes time to master, and there are a variety of resources posted on Wattle to help you. The proofs in the textbook and the posted solutions also provide excellent examples to study. Language is a mathematician’s primary tool; we don’t generally get to run experiments or do fieldwork, so in the absence of data to support our hypotheses, our arguments need to be sufficiently convincing.

The date range for this task indicates the approximate due date for the first assignment, and the approximate return date for the last assignment. It is intended that the marked assignments will be returned within 14 days after submission. Further details can be found on the course Wattle site.

Assessment Task 2

Value: 30 %
Due Date: 27/08/2019
Return of Assessment: 04/10/2019
Learning Outcomes: 1,2,3,4

Mid-semester Examination

A mid-semester examination is included in the assessment. The examination is likely to be held in Week 6 or Week 7 (the date specified for this task is merely the first day of Week 6: the exam will probably be on a different day). Details will be made available on the examinations timetable website.

Assessment Task 3

Value: 40 %
Due Date: 31/10/2019
Return of Assessment: 28/11/2019
Learning Outcomes: 1,2,3,4

End of Semester Examination

An end of semester examination is included in the assessment. Students are required to satisfy a hurdle requirement for both the linear algebra and analysis parts of the course. Specific details about the hurdle requirements are given via Wattle. The examination will be held during the university's official examination period for the semester (the date specified for this task is merely the first day of the exam period: the exam will probably be on a different day). Details will be made available on the examinations timetable website.

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignments. Please keep a copy of the assignments for your records. MATH1116 does not use Turnitin.

Hardcopy Submission

All assignment submission is electronic, via Wattle.

Late Submission

Individual assessment tasks may or may not allow for late submission. The policy regarding late submission is detailed below:

  • Online Quizzes: Late submission is not permitted for the online quizzes.
  • Show Working: Late submission of the show working component of the assignments without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after the release of solutions.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Returning Assignments

Assignments will be returned electronically via Wattle.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

Resubmission of assignments is not permitted in MATH1116.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information. In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service — including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy. If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes. Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).
Dr Griffith Ware

Research Interests

Banach Algebras

Dr Griffith Ware

Thursday 13:30 14:30
Dr Griffith Ware

Research Interests

Dr Griffith Ware

Thursday 13:30 14:30
Dr Joan Licata

Research Interests

Dr Joan Licata

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions