• Offered by Mathematical Sciences Institute
  • ANU College ANU Joint Colleges of Science
  • Course subject Mathematics
  • Areas of interest Mathematics
  • Academic career UGRD
  • Course convener
    • Dr Kenneth Duru
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2022
    See Future Offerings

This course has been adjusted for remote participation in Sem 1 2021 due to COVID-19 restrictions. On-campus activities will also be available.

This course presents the basic elements of scientific computing, in particular the methods for solving or approximating the solution of calculus and linear algebra problems associated with real world problems. Drawing on non-trivial problems from disciplines including physics, engineering and chemistry, and sophisticated scientific computing and visualisation environments, students are introduced to the basic computational concepts of stability, accuracy and efficiency, as new numerical methods and techniques are introduced to solve progressively more challenging problems.


Honours Pathway Option (HPO):

To do this option, students must have completed MATH2405 or STAT2001 or a mark of 60% or more in either MATH2305 or MATH1116. The HPO expands on the theoretical aspects of the underlying algorithms, and uses alternative assessment to assess these theoretical aspects.

Learning Outcomes

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

  1. Understand and use fundamental mathematical techniques relevant to the analysis of scientific computing methods.
  2. Accurately motivate, describe and analyse important algorithms relevant to real-world scientific computing.
  3. Appropriately use a high-level programming language to solve scientific computing problems with proficiency and confidence.
  4. Use appropriate mathematical and computational tools to verify the reliability of scientific computing calculations.

Indicative Assessment

  1. 5 workshop responses demonstrating capacity to use relevant software (30) [LO 2,3,4]
  2. 5 written assignments demonstrating a problem-based understanding of underlying algorithms and mathematical techniques (30) [LO 1,2,4]
  3. Final examination (40) [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.

Workload

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

  • Face-to face component which may consist of 3 x 1 hour lectures per week (36 hours) as well as a total of 20 hours of workshop time.
  • Approximately 74 hours of self-study per semester which will include preparation for lectures and completion of assessment tasks.

Inherent Requirements

There are no course-specific inherent requirements.

Requisite and Incompatibility

To enrol in this course you must have successfully completed one of MATH1116 or MATH2305 or MATH2405 or MATH2320. Incompatible with MATH6111.

Prescribed Texts

This course has no prescribed texts.

Majors

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

Student Contribution Band:
2
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.

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

Units EFTSL
6.00 0.12500
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.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
3055 21 Feb 2022 28 Feb 2022 31 Mar 2022 27 May 2022 In Person N/A

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