• Offered by Mathematical Sciences Institute
  • ANU College ANU Joint Colleges of Science
  • Course subject Mathematics
  • Areas of interest Mathematics
  • Academic career UGRD
  • Course convener
    • Prof Stephen Roberts
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2017
     See Future Offerings
Scientific and Industrial Modelling (MATH3501)
The use of mathematical models has grown rapidly in recent years, owing to the advent of cheap and powerful computers, expanding from applications in the physical and earth sciences to the biological and environmental sciences, and now into industry and commerce.
 
In this course we study the process of starting with an initial succinct non-mathematical description of a problem, formulate associated mathematical models, introduce new mathematical techniques and then determine and interpret solutions that are useful in a real life context. General computational and mathematical techniques and strategies will be introduced by examining specific scientific and industrial problems. Computations will be done using modern high level scientific computing environments such as SCILAB or PYTHON.
 
Topics to be covered include Model type selection and formulation, Data analysis techniques (time/space and frequency domain), State Space and Transfer Function Models, Model Structure Identification, Testing and Sensitivity Analysis.
 

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. Describe many of the basic processes and behaviours of different systems and different ways of representing them
2. Evaluate the issues in building and evaluating models, taking into account their purpose and prior knowledge
3. Explain and use some important modelling tools (transfer function, state space, frequency-domain and DE-based models as well as data analysis techniques)
4. Discuss the role of modelling in both industry and science
5. Describe sensitivity and uncertainty analysis techniques

Indicative Assessment

Assessment will be based on:

  • Exam (40%; LO 1, 2, 3, 4, 5)
  • Three Assignments (15% each) demonstrating ability to apply techniques (15% each; LO 2, 3, 5)
  • Tutorials demonstrating ability to use relevant software (15%; LO 3)

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

Three lectures per week and regular tutorials/computer labs.

Requisite and Incompatibility

To enrol in this course you must have successfully completed either MATH2305, MATH 2405 or 12 units of 2000 level Mathematics courses with a mark of 60 or above. Incompatible with MATH6103.

Majors

Specialisations

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 International
Domestic fee paying students
Year Fee
2017 $3444
International fee paying students
Year Fee
2017 $4590
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.

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.
2017
2018
2019

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8070 24 Jul 2017 31 Jul 2017 31 Aug 2017 27 Oct 2017 In Person N/A

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