School: Science

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Mathematical Modelling
  • Unit Code

    MAT2439
  • Year

    2016
  • Enrolment Period

    1
  • Version

    1
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus

Description

Further development of some of the standard techniques of mathematical modelling including identification of assumptions, parameters and variables; definition of particular cases; re-formulation of problems; verification and validation of models. Computer-based techniques will be introduced including non-linear curve fitting, generation of data from discrete and continuous probability distributions and elementary simulation methods. There is a greater emphasis on problems associated with planning.

Prerequisite Rule

Students must pass 1 unit from MAT1184

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply some of the computer-based procedures for data generation and analysis that are used in modelling.
  2. Apply some of the standard techniques and skills of modelling.

Unit Content

  1. Some computer-based techniques will also be introduced including non-linear curve fitting, generation of data from discrete and continuous probability distributions and elementary simulation methods.
  2. The unit introduces and further develops some of the standard techniques of mathematical modelling including identification of assumptions, parameters and variables; definition of particular cases; re-formulation of problems; verification and validation of models.

Additional Learning Experience Information

There will be some lectures, but in most sessions students will work in small groups or individually on particular problems.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ON CAMPUS
TypeDescriptionValue
AssignmentAssignment 120%
TestClass test 115%
TestClass test 215%
ExaminationEnd of semester examination50%

Text References

  • Andrews, J.G., & McLone, R.R. (1976). Mathematical modelling. Boston: Butterworths.
  • Edwards, D., & Hamson, M. (1989). Guide to mathematical modelling. Basingstoke: Macmillan Education Ltd.
  • Dym, C.L., & Ivey, E.S. (1980). Principles of mathematical modelling. New York: Academic Press.
  • Bender, E.A. (1978). An introduction to mathematical modelling. New York: Wiley.

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

MAT2439|1|1

School: Science

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Mathematical Modelling
  • Unit Code

    MAT2439
  • Year

    2016
  • Enrolment Period

    2
  • Version

    1
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus

Description

Further development of some of the standard techniques of mathematical modelling including identification of assumptions, parameters and variables; definition of particular cases; re-formulation of problems; verification and validation of models. Computer-based techniques will be introduced including non-linear curve fitting, generation of data from discrete and continuous probability distributions and elementary simulation methods. There is a greater emphasis on problems associated with planning.

Prerequisite Rule

Students must pass 1 unit from MAT1184

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply some of the computer-based procedures for data generation and analysis that are used in modelling.
  2. Apply some of the standard techniques and skills of modelling.

Unit Content

  1. Some computer-based techniques will also be introduced including non-linear curve fitting, generation of data from discrete and continuous probability distributions and elementary simulation methods.
  2. The unit introduces and further develops some of the standard techniques of mathematical modelling including identification of assumptions, parameters and variables; definition of particular cases; re-formulation of problems; verification and validation of models.

Additional Learning Experience Information

There will be some lectures, but in most sessions students will work in small groups or individually on particular problems.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ON CAMPUS
TypeDescriptionValue
AssignmentAssignment 120%
TestClass test 115%
TestClass test 215%
ExaminationEnd of semester examination50%

Text References

  • Andrews, J.G., & McLone, R.R. (1976). Mathematical modelling. Boston: Butterworths.
  • Edwards, D., & Hamson, M. (1989). Guide to mathematical modelling. Basingstoke: Macmillan Education Ltd.
  • Dym, C.L., & Ivey, E.S. (1980). Principles of mathematical modelling. New York: Academic Press.
  • Bender, E.A. (1978). An introduction to mathematical modelling. New York: Wiley.

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

MAT2439|1|2