CQUniversity Unit Profile
MATH12225 Applied Computational Modelling
Applied Computational Modelling
All details in this unit profile for MATH12225 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

Overview

This unit furthers students’ understanding of and ability in mathematical modelling of scientific and engineering problems using MATLAB. It is designed to substantiate students’ mathematical knowledge and techniques gained from completing previous units through utilising existing functions and tools in MATLAB to solve general problems in various disciplines. Students will also learn programming in MATLAB to create and test programs for obtaining useful solutions both analytically and numerically to problems with complex conditions. Coursework leads students to approaching posed problems in a way that demonstrates a clear, logical and systematic procedure of modelling through integrating mathematical and programing knowledge and techniques learnt.

Details

Career Level: Undergraduate
Unit Level: Level 2
Credit Points: 6
Student Contribution Band: 7
Fraction of Full-Time Student Load: 0.125

Pre-requisites or Co-requisites

Pre-requisite: MATH12222 or MATH13218

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Offerings For Term 2 - 2017

Bundaberg
Cairns
Distance
Gladstone
Mackay
Rockhampton

Attendance Requirements

All on-campus students are expected to attend scheduled classes – in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Class and Assessment Overview

Recommended Student Time Commitment

Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Class Timetable

Bundaberg, Cairns, Emerald, Gladstone, Mackay, Rockhampton, Townsville
Adelaide, Brisbane, Melbourne, Perth, Sydney

Assessment Overview

1. Practical and Written Assessment
Weighting: 30%
2. Practical and Written Assessment
Weighting: 30%
3. Practical and Written Assessment
Weighting: 40%

Assessment Grading

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University’s Grades and Results Policy for more details of interim results and final grades.

Previous Student Feedback

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Feedback from students evaluation

Feedback

Emphasise more on actual programming, and less on the theory of the math.

Recommendation

Just briefly review some basic math and then focus more on actual programming

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Use existing functions in MATLAB to solve general problems in various disciplines.
  2. Apply programming skills in solving complicated problems in the MATLAB environment.
  3. Utilise existing tools in MATLAB to manipulate and visualize input/output data for supporting interpretation of real applications.
  4. Formulate and implement procedures of mathematical modelling for real situations where analytical solutions exist.
  5. Design and realise procedures of numeric modelling to develop useful solutions to complex applications.
  6. Document the solution to posed problems in a way that demonstrates a clear, logical and systematic procedure of modelling.
Alignment of Learning Outcomes, Assessment and Graduate Attributes
N/A Level
Introductory Level
Intermediate Level
Graduate Level
Professional Level
Advanced Level

Alignment of Assessment Tasks to Learning Outcomes

Assessment Tasks Learning Outcomes
1 2 3 4 5 6
1 - Practical and Written Assessment - 30%
2 - Practical and Written Assessment - 30%
3 - Practical and Written Assessment - 40%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3 4 5 6
1 - Communication
2 - Problem Solving
3 - Critical Thinking
4 - Information Literacy
5 - Team Work
6 - Information Technology Competence
7 - Cross Cultural Competence
8 - Ethical practice
9 - Social Innovation
10 - Aboriginal and Torres Strait Islander Cultures

Alignment of Assessment Tasks to Graduate Attributes

Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8 9 10
1 - Practical and Written Assessment - 30%
2 - Practical and Written Assessment - 30%
3 - Practical and Written Assessment - 40%
Textbooks and Resources

Textbooks

There are no required textbooks.

Additional Textbook Information

There are no required textbooks

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
Referencing Style

All submissions for this unit must use the referencing style: Harvard (author-date)

For further information, see the Assessment Tasks.

Teaching Contacts
Yucang Wang Unit Coordinator
y.wang2@cqu.edu.au
Schedule
Week 1 Begin Date: 10 Jul 2017

Module/Topic

MATLAB: getting started ;

Basic types and operations in MATLAB;

Built-in functions

Chapter

Part 1.1- 1.4 in study guide

Events and Submissions/Topic

Week 2 Begin Date: 17 Jul 2017

Module/Topic

Arrays, vectors and matrices and their basic operations

Chapter

Part1.5 in study guide

Events and Submissions/Topic

Week 3 Begin Date: 24 Jul 2017

Module/Topic

plotting and visualization;

input/output in MATLAB ;

Chapter

Part1.6 in study guide

Events and Submissions/Topic

Week 4 Begin Date: 31 Jul 2017

Module/Topic

M-files and user-defined functions;

Flow controls ;

Chapter

Part 1.7-1.8 in study guide

Events and Submissions/Topic

Week 5 Begin Date: 07 Aug 2017

Module/Topic

MATLAB implementations of Lagrange interpolation, Newton interpolation and cubic splines ;

Chapter

Part 2.1-2.2 in study guide

Events and Submissions/Topic

Written Assessment Due: Week 5 Friday (11 Aug 2017) 11:00 pm AEST
Vacation Week Begin Date: 14 Aug 2017

Module/Topic

Chapter

Events and Submissions/Topic

Week 6 Begin Date: 21 Aug 2017

Module/Topic

MATLAB implementations of curve fitting ;

Chapter

Part 2.3 in study guide

Events and Submissions/Topic

Week 7 Begin Date: 28 Aug 2017

Module/Topic

MATLAB implementations of Euler method, improved Euler method and Runge-Kutta method ;


Chapter

Part 2.4 in study guide

Events and Submissions/Topic

Week 8 Begin Date: 04 Sep 2017

Module/Topic

Interpolating data using MATLAB built-in functions;

Curve fitting using MATLAB built-in functions;

Solving differential equations using MATLAB built-in functions;

Chapter

Part 2.5 in study guide

Events and Submissions/Topic

Week 9 Begin Date: 11 Sep 2017

Module/Topic

Project one: Modelling of vibrations of a system with single degree of freedom using MATLAB;

Chapter

Part 3 in study guide

Events and Submissions/Topic

Written Assessment Due: Week 9 Friday (15 Sept 2017) 11:00 pm AEST
Week 10 Begin Date: 18 Sep 2017

Module/Topic

Project two: Modelling of RLC circuits using MATLAB;

Chapter

Part 4 in study guide

Events and Submissions/Topic

Week 11 Begin Date: 25 Sep 2017

Module/Topic

Project three: Modelling of vibrations of a system with multiple degree of freedom using MATLAB;

Chapter

Part 5 in study guide

Events and Submissions/Topic

Week 12 Begin Date: 02 Oct 2017

Module/Topic

Other applications of MATLAB in engineering mathematics

Chapter


Events and Submissions/Topic

Written Assessment Due: Week 12 Friday (6 Oct 2017) 11:00 pm AEST
Review/Exam Week Begin Date: 09 Oct 2017

Module/Topic

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 16 Oct 2017

Module/Topic

Chapter

Events and Submissions/Topic

Assessment Tasks

1 Practical and Written Assessment

Assessment Title
Written Assessment

Task Description

Questions on MATLAB fundamentals covered in Weeks 1-4. Please see the unit website for the questions in this assignment.


Assessment Due Date

Week 5 Friday (11 Aug 2017) 11:00 pm AEST


Return Date to Students

Week 7 Friday (1 Sept 2017)

Marked assignments are expected to be returned 2 weeks after the submission deadline.


Weighting
30%

Assessment Criteria

The final mark is out of 30. Questions are from contents covered in Weeks 1-4. Questions are awarded the full marks if they are error-free, partial marks if there are some problems, and no marks if not attempted or contain so many errors as to render the attempt to be without value. To ensure maximum benefit, answers to all questions should be neatly and clearly presented and all appropriate working should be shown.


Referencing Style

Submission
Online

Learning Outcomes Assessed
  • Use existing functions in MATLAB to solve general problems in various disciplines.
  • Apply programming skills in solving complicated problems in the MATLAB environment.
  • Utilise existing tools in MATLAB to manipulate and visualize input/output data for supporting interpretation of real applications.
  • Formulate and implement procedures of mathematical modelling for real situations where analytical solutions exist.
  • Design and realise procedures of numeric modelling to develop useful solutions to complex applications.
  • Document the solution to posed problems in a way that demonstrates a clear, logical and systematic procedure of modelling.


Graduate Attributes
  • Problem Solving
  • Information Literacy
  • Information Technology Competence

2 Practical and Written Assessment

Assessment Title
Written Assessment

Task Description

Questions on numeric methods using MATLAB covered in Weeks 4-8. Please see the unit website for the questions in this assignment.


Assessment Due Date

Week 9 Friday (15 Sept 2017) 11:00 pm AEST


Return Date to Students

Week 11 Friday (29 Sept 2017)

Marked assignments are expected to be returned 2 weeks after the submission deadline.


Weighting
30%

Assessment Criteria

The final mark is out of 30. Questions are from contents covered in Weeks 5-8. Questions are awarded the full marks if they are error-free, partial marks if there are some problems, and no marks if not attempted or contain so many errors as to render the attempt to be without value. To ensure maximum benefit, answers to all questions should be neatly and clearly presented and all appropriate working should be shown.


Referencing Style

Submission
Online

Learning Outcomes Assessed
  • Use existing functions in MATLAB to solve general problems in various disciplines.
  • Apply programming skills in solving complicated problems in the MATLAB environment.
  • Utilise existing tools in MATLAB to manipulate and visualize input/output data for supporting interpretation of real applications.
  • Formulate and implement procedures of mathematical modelling for real situations where analytical solutions exist.
  • Design and realise procedures of numeric modelling to develop useful solutions to complex applications.
  • Document the solution to posed problems in a way that demonstrates a clear, logical and systematic procedure of modelling.


Graduate Attributes
  • Problem Solving
  • Critical Thinking
  • Information Literacy
  • Information Technology Competence

3 Practical and Written Assessment

Assessment Title
Written Assessment

Task Description

Assignment 3 is a group project for different disciplines based on lectures and tutorials during weeks 9-12. Each group needs to complete the assigned project using skills and knowledge gained from this unit and other units. Please see the unit website for the questions in this assignment.

Students can take one of three projects according to their specialties. This is a group work (up to 3-4 people in each group) .


Assessment Due Date

Week 12 Friday (6 Oct 2017) 11:00 pm AEST


Return Date to Students

Exam Week Friday (20 Oct 2017)

The marked projects will be returned to the students after the certification date.


Weighting
40%

Assessment Criteria

Marks will be allocated on project design, methods chosen and implied, process control, discussions and conclusions.



Referencing Style

Submission
Online Group

Submission Instructions
This group assignment is to be submitted by one student (Team Lead) on behalf of all team members with consensus using the cover sheet provided on Moodle.

Learning Outcomes Assessed
  • Use existing functions in MATLAB to solve general problems in various disciplines.
  • Apply programming skills in solving complicated problems in the MATLAB environment.
  • Utilise existing tools in MATLAB to manipulate and visualize input/output data for supporting interpretation of real applications.
  • Formulate and implement procedures of mathematical modelling for real situations where analytical solutions exist.
  • Design and realise procedures of numeric modelling to develop useful solutions to complex applications.
  • Document the solution to posed problems in a way that demonstrates a clear, logical and systematic procedure of modelling.


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking
  • Information Literacy
  • Team Work
  • Information Technology Competence
  • Cross Cultural Competence
  • Ethical practice

Academic Integrity Statement

As a CQUniversity student you are expected to act honestly in all aspects of your academic work.

Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.

When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.

Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.

As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.

What is a breach of academic integrity?

A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.

Why is academic integrity important?

A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.

Where can I get assistance?

For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.

What can you do to act with integrity?