• Offered by Mathematical Sciences Institute
• ANU College ANU Joint Colleges of Science
• Course subject Mathematics
• Course convener
• Dr Qinian Jin
• Mode of delivery In Person
• Co-taught Course
• Offered in Second Semester 2020
Numerical Optimisation (MATH3514)

Please note that MATH3514 is run in semester 2 of even years i.e. 2014, 2016, 2018 etc.

This course introduces important algorithms and techniques of scientific computing, focussing on the area of numerical optimisation. The course will present both theoretical and practical aspects of the algorithms. The course is highly relevant to students from disciplines such as science, engineering or economics where skills in numerical computations are important.

This is an HPC, taught at a level requiring greater conceptual understanding than MATH3511.

## 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. Use sophisticated scientific computing and visualization environments to solve application problems involving matrix computation algorithms.
2. Analyze numerical algorithms, and understand the relationships between the computational effort and the accuracy of these algorithms.
3. Interpret the results produced by computer implementations of numerical algorithms.
4. Explain the effects of errors in computation and how such errors affect solutions.
5. Demonstrate the necessary analytical background for further studies leading to research in applied mathematics or related disciplines.

## Indicative Assessment

UG Assessment will be based on:

• Five written assignments involving maths and programming problems (70%; LO 1, 2, 3, 4)
• Open-book examination (30%; LO 1, 2, 3, 4)

PG Assessment will be based on:

• Five written assignments involving maths and programming problems (50%; LO 1, 2, 3, 4)
•  Open-book examination (30%; LO 1, 2, 3, 4)
•  Computational case study project (20%; 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 website.

Three lectures per week and regular workshops/computer Labs.

## Requisite and Incompatibility

To enrol in this course you must have successfully completed either MATH2305, MATH 2405, MATH2320, MATH3116 or MATH3511 with a mark of 60 and above. You are not able to enrol in this course if you have completed MATH6119.

## Assumed Knowledge

In addition to the formal pre-requisite requirements, it is recommended that students have undertaken a programming course such as COMP1100 or COMP1730.

## Fees

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

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and 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). You can find your student contribution amount for each course at 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 fee paying students
Year Fee
2020 \$4320
International fee paying students
Year Fee
2020 \$5760
Note: Please note that fee information is for current year only.

## Offerings, Dates and Class Summary Links

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.

### Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
9216 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person N/A