Unit Profiles ›› MATH12222 Advanced Mathematical Applications
MATH12222  Advanced Mathematical Applications
Term 1  2017
Corrections
Date Updated  Information 

06Jan2017 13:38 
Pearson, the textbook publisher, just informed that the new textbook prescribed for MATH12222 won't be available for Term 1 2017. Therefore, we will keep the 2016 edition of the textbook, "Advanced Mathematics for Engineering and Applied Sciences (3rd ed)" for MATH12222 in 2017.

Prescribed Textbooks

IT Resources
You will need access to the following IT resources: Internet
 CQUniversity Student Email
 Unit Website (Moodle)
Unit Coordinator  William Guo (w.guo@cqu.edu.au) 

Week  Begin Date  Module/Topic  Chapter  Events and Submissions 

Week 1  06032017 
Ordinary differential equations (ODEs)  1 
Sections 1.11.3 
Exercises 1.11.3 
Week 2  13032017 
Ordinary differential equations (ODEs)  2 
Section 1.4 
Exercises 1.4 
Week 3  20032017 
Ordinary differential equations (ODEs)  3 
Sections 1.51.6 
Exercises 1.51.6 
Week 4  27032017 
Laplace transforms  1 
Sections 2.12.2 
Exercises 2.12.2 Written Assessment Due Thursday (30 Mar 17) 11:45 PM AEST 
Week 5  03042017 
Laplace transforms  2 
Sections 2.32.4 
Exercises 2.32.4 
Vacation Week  10042017  
Week 6  17042017 
Linear algebra and applications  1 
Sections 3.13.3 
Exercises 3.13.3 
Week 7  24042017 
Linear algebra and applications  2 
Section 3.4 
Exercises 3.4 
Week 8  01052017 
Numeric methods  1 
Sections 4.14.2 
Exercises 4.14.2 Written Assessment Due Thursday (04 May 17) 11:45 PM AEST 
Week 9  08052017 
Numeric methods  2 
Sections 4.34.4 
Exercises 4.34.4 
Week 10  15052017 
Fourier series  1 
Sections 5.1 5.2 
Exercises 5.15.2 
Week 11  22052017 
Fourier series  2 
Sections 5.35.4 
Exercises 5.35.4 
Week 12  29052017 
Partial differential equations (PDEs) 
Sections 6.16.2 + Review 
Exercises 6.1 Written Assessment Due Thursday (01 Jun 17) 11:45 PM AEST 
Review/Exam Week  05062017  
Exam Week  12062017 
1 Written Assessment
Assessment Title  Written Assessment 

Task Description Questions on ODEs covered in Weeks 13. Please see the course website for the questions in this assignment. 

Assessment Due Date  Week 4 Thursday (30Mar2017) 11:45 PM AEST 
Return Date to Students  Week 6 Thursday (20Apr2017) marked assignments are expected to be returned 2 weeks after the submission deadline. 
Weighting  20% 
Assessment Criteria This is an individual assignment. The final mark is out of 20. Questions are from contents covered in Weeks 13. Questions are awarded the full marks allocated if they are errorfree, 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  Harvard (authordate) 
Submission 
Online
Assignment 1 is submitted through Moodle. 
Learning Outcomes Assessed 
This section can be expanded to view the assessed learning outcomes
6. Use mathematics as a language to communicate results, concepts and ideas in context. 
Graduate Attributes 
This section can be expanded to view the assessed graduate attributes
1. Communication 2. Problem Solving 3. Critical Thinking 4. Information Literacy 6. Information Technology Competence 7. Cross Cultural Competence 8. Ethical practice 
2 Group Work
Assessment Title  Written Assessment 

Task Description Questions on Laplace transforms, linear algebra and applications covered in Weeks 47. Please see the course website for the questions in this assignment. 

Assessment Due Date  Week 8 Thursday (04May2017) 11:45 PM AEST 
Return Date to Students  Week 10 Thursday (18May2017) marked assignments are expected to be returned 2 weeks after the submission deadline. 
Weighting  20% 
Assessment Criteria This is a group assignment. Groups of up to five (5) students are encouraged. The final mark is out of 20. Questions are from contents covered in Weeks 47. Questions are awarded the full marks allocated if they are errorfree, 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  Harvard (authordate) 
Submission 
Online
Group submission
Assignment is uploaded by only one student from each group as a single document on Moodle. Please use the cover sheet provided on the course site for this assignment. 
Learning Outcomes Assessed 
This section can be expanded to view the assessed learning outcomes
2. Utilise the concepts of linear transformation and interpretation of eigenvalue problems to analyse problems. 6. Use mathematics as a language to communicate results, concepts and ideas in context. 7. Communicate, work and learn together in peer learning teams where appropriate. 
Graduate Attributes 
This section can be expanded to view the assessed graduate attributes
1. Communication 2. Problem Solving 3. Critical Thinking 4. Information Literacy 5. Team Work 6. Information Technology Competence 8. Ethical practice 
3 Group Work
Assessment Title  Written Assessment 

Task Description Questions on Numeric methods and Fourier series covered in Weeks 811. Please see the course website for the questions in this assignment. 

Assessment Due Date  Week 12 Thursday (01Jun2017) 11:45 PM AEST 
Return Date to Students  It is envisaged that feedback and solutions will be available prior to sitting the standard examination. 
Weighting  20% 
Assessment Criteria This is a group assignment. Groups of up to five (5) students are encouraged. The final mark is out of 20. Questions are from contents covered in Weeks 811. Questions are awarded the full marks allocated if they are errorfree, 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  Harvard (authordate) 
Submission 
Online
Group submission
Assignment is uploaded by only one student from each group as a single document on Moodle. Please use the cover sheet provided on the course site for this assignment. 
Learning Outcomes Assessed 
This section can be expanded to view the assessed learning outcomes
1. Apply interpolation and curve fitting techniques to support the modelling of engineering applications. 3. Use numerical methods to solve ordinary differential equations. 4. Apply Fourier Analysis to periodic and nonperiodic functions in the solution of scientific and engineering problems. 5. Solve simple partial differential equations with initial and boundary conditions. 6. Use mathematics as a language to communicate results, concepts and ideas in context. 7. Communicate, work and learn together in peer learning teams where appropriate. 
Graduate Attributes 
This section can be expanded to view the assessed graduate attributes
1. Communication 2. Problem Solving 3. Critical Thinking 4. Information Literacy 5. Team Work 6. Information Technology Competence 8. Ethical practice 
Examination
Outline  Complete an examination 

Date  During the University examination period 
Weighting  40% 
Condition  Minimum percentage of examination marks required to pass course  40% 
Length  180 minutes 
Details  Dictionary  nonelectronic, concise, direct translation only (dictionary must not contain any notes or comments). Calculator  all noncommunicable calculators, including scientific, programmable and graphics calculators are authorised. Open Book 
Learning Outcomes Assessed 
This section can be expanded to view the assessed learning outcomes
1. Apply interpolation and curve fitting techniques to support the modelling of engineering applications. 2. Utilise the concepts of linear transformation and interpretation of eigenvalue problems to analyse problems. 3. Use numerical methods to solve ordinary differential equations. 4. Apply Fourier Analysis to periodic and nonperiodic functions in the solution of scientific and engineering problems. 6. Use mathematics as a language to communicate results, concepts and ideas in context. 
Graduate Attributes 
This section can be expanded to view the assessed graduate attributes
1. Communication 2. Problem Solving 3. Critical Thinking 8. Ethical practice 
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