# Programs and Courses

**Source**: https://programsandcourses.anu.edu.au/course/MATH1014
**Parent**: https://programsandcourses.anu.edu.au/program/AACRD

- Code
  [MATH1014](https://programsandcourses.anu.edu.au/2026/course/MATH1014)
- Unit Value
  6 units

- Offered by
  Mathematical Sciences Institute
- ANU College
  ANU College of Systems and Society
- Course subject
  Mathematics
- Areas of interest
  Mathematics

- Academic career
  UGRD
- Course convener
  - Dr Alexandria Rose
  - Galina Levitina
- Mode of delivery
  In Person
- Offered in

  First Semester 2026\

  Second Semester 2026\

  [See Future Offerings](#terms)
- STEM Course

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Mathematics and Applications 2 ([MATH1014](https://programsandcourses.anu.edu.au/2026/course/MATH1014))

- [Introduction](#introduction)
- [Learning Outcomes](#learning-outcomes)
- [Indicative Assessment](#indicative-assessment)
- [Workload](#workload)
- [Inherent Requirements](#inherent-requirements)
- [Requisite and Incompatibility](#incompatibility)
- [Prescribed Texts](#prescribed-texts)
- [Fees](#fees)
- [Offerings and Dates](#terms)

This course continues on from [MATH1013](https://programsandcourses.anu.edu.au/course/MATH1013). It emphasises an understanding of the fundamental results from calculus and linear algebra which both can be applied across a range of fields including the physical and biological sciences, engineering and information technologies, economics and commerce, and can also serve as a base for future mathematics courses. Many applications and connections with other fields will be discussed although not developed in detail.

Topics to be covered include:

Calculus - Integration and techniques of integration, including multiple and iterated integrals. Sequences and series. Functions of several variables - visualisation, continuity, partial derivatives, and directional derivatives. Lagrange multipliers.

Linear Algebra - theory and application of Euclidean vector spaces. Vector spaces: linear independence, bases and dimension; eigenvalues and eigenvectors; orthogonality and least squares.

## Learning Outcomes

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

1. Explain the fundamental concepts of calculus and linear algebra and their role in modern mathematics and applied contexts. These concepts include vector spaces, eigenvalues and eigenvectors, orthogonality and least squares in linear algebra; and integration, sequences and series, functions of several variables, and partial differential equations in calculus.\
2. Demonstrate accurate and efficient use of calculus and linear algebra techniques as they relate to the concepts listed above.\
3. Demonstrate capacity for mathematical reasoning through explaining concepts from calculus and linear algebra and reproducing familiar proofs.
4. Apply problem-solving using calculus and linear algebra techniques applied to diverse situations in physics, engineering and other mathematical contexts.

## Indicative Assessment

1. Workshop assessment (completed during workshops) (8) [LO 1,2,3,4]
2. Online quizzes (12) [LO 1,2,3,4]
3. Assignments (three) (30) [LO 1,2,3,4]
4. Final examination (50) [LO 1,2,3,4]

The ANU uses 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. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the [ANU Online](http://services.anu.edu.au/information-technology/software-systems/turnitin) website.

## Workload

The expected workload will consist of approximately 130 hours throughout the semester including:

- Face-to face component which may consist of 4 x 1 hour (or 2x2 hour) lectures per week (48 hours per semester) as well as a total of 15 hours of workshop time.
- Approximately 67 hours of self-directed study per semester which will include preparation for lectures, quizzes and other assessment tasks.

## Inherent Requirements

No inherent requirements have been identified for this course.

## Requisite and Incompatibility

To enrol in this course you must have completed [MATH1013](https://programsandcourses.anu.edu.au/2026/course/MATH1013) or [MATH1115](https://programsandcourses.anu.edu.au/2026/course/MATH1115) or [MATH1113](https://programsandcourses.anu.edu.au/2026/course/MATH1113). You are not able to enrol in this course if you have previously completed [MATH1116](https://programsandcourses.anu.edu.au/2026/course/MATH1116).

## Prescribed Texts

• Linear Algebra (3rd edition or later) by David Lay.

• Essential Calculus (2nd edition) by James Stewart.

## Fees

Tuition fees are for the academic year indicated at the top of the page.

**Commonwealth Support (CSP) Students**\
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at **[Fees](https://www.anu.edu.au/students/program-administration/fees-payments/student-contributions)**. 

Student Contribution Band:
:   [1](https://students.anu.edu.au/fees/domestic/csp.php)

Unit value:
:   6 units

If you are a **domestic graduate coursework student** with a Domestic Tuition Fee (DTF) place**or international student** you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at **[Fees](http://students.anu.edu.au/fees/)**.

Where there is a unit range displayed for this course, not all unit options below may be available.

| Units | EFTSL |
| --- | --- |
| 6.00 | 0.12500 |

## Course fees

[Domestic](#indicative-fees__domestic)
[International](#indicative-fees__international)

Domestic fee paying students

| Year | Fee |
| --- | --- |
| 2026 | $4920 |

International fee paying students

| Year | Fee |
| --- | --- |
| 2026 | $7020 |

**Note:** Please note that fee information is for current year only.

\

## Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the [Timetable webpage](https://www.anu.edu.au/students/program-administration/timetabling).

The list of offerings for future years is indicative only.
\

Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

[2026](#course-tab-1)

### First Semester

| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
| --- | --- | --- | --- | --- | --- | --- |
| 3410 | 23 Feb 2026 | 02 Mar 2026 | 31 Mar 2026 | 29 May 2026 | In Person | [View](https://programsandcourses.anu.edu.au/course/MATH1014/First%20Semester/3410) |

### Second Semester

| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
| --- | --- | --- | --- | --- | --- | --- |
| 8415 | 27 Jul 2026 | 03 Aug 2026 | 31 Aug 2026 | 30 Oct 2026 | In Person | N/A |