MATH11160 - Technology Mathematics
Term 1 - 2017


All details in this unit profile for MATH11160 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.

Overview

In this unit students apply essential mathematical concepts, processes and techniques to support the development of mathematical descriptions and models for engineering problems. They investigate and apply the properties of linear, quadratic, exponential and logarithmic functions in appropriate settings, use trigonometric functions to solve triangles and describe periodic phenomena and use vector and matrix algrebra to solve problems in an engineering context. Concepts of elementary statistics to organise and analyse data are covered. Students select appropriate mathematical methods appreciating the importance of underlying assumptions and then use them to investigate and solve problems, and interpret the results. Other important elements of this unit are the communication of results, concepts and ideas using mathematics as a language, being able to document the solution to problems in a way that demonstrates a clear, logical and precise approach and communicating, working and learning in peer learning teams where appropriate. Distance education (FLEX) students are required to have significant access to a computer and make frequent use of the internet.

Details

Career Level Undergraduate
Unit Level Level 1
Credit Points 6
Student Contribution Band 7A
Fraction of Full-Time Student Load 0.125

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).

Offerings

Term 1 - 2017
  • Distance
  • Rockhampton

Website

This unit has a website, within the Moodle system, which is available two weeks before the start of term. It is important that you visit your Moodle site throughout the term. Go to Moodle

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

Assessment Overview

Assessment Task Weighting
1. Written Assessment 25%
2. Written Assessment 25%
3. Written Assessment 10%
4. Examination 40%

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 Procedures for more details of interim results and final grades.

All University policies are available on the IMPortal.

You may wish to view these policies:

  • Grades and Results Procedure
  • Assessment Policy and Procedure (Higher Education Coursework)
  • Review of Grade Procedure
  • Academic Misconduct Procedure
  • Monitoring Academic Progress (MAP) Policy and Procedure – Domestic Students
  • Monitoring Academic Progress (MAP) Policy and Procedure – International Students
  • Refund and Excess Payments (Credit Balances) Policy and Procedure
  • Student Feedback – Compliments and Complaints Policy and Procedure
  • Acceptable Use of Information and Communications Technology Facilities and Devices Policy and Procedure

This list is not an exhaustive list of all University policies. The full list of University policies are available on the IMPortal.

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 Source Recommendation
2 weeks to learn Calculus is too short Evaluation Actually we have 3 weeks for calculus. I suggest to discuss the possibility of changing the structure of this course in the future.
On successful completion of this unit, you will be able to:
  1. apply essential functions and trigonometric, statistical and matrix concepts, processes and techniques to support the development of mathematical descriptions and models for engineering problems
  2. investigate and apply the properties of linear, quadratic, exponential and logarithmic functions in appropriate settings
  3. use trigonometric functions to solve triangles and describe periodic phenomena
  4. use vector and matrix algebra to solve problems in an engineering context
  5. organise and analyse data using the concepts of elementary statistics
  6. select appropriate mathematical methods appreciating the importance of underlying assumptions, use them to investigate and solve engineering problems, and interpret the results
  7. use mathematics as a language to communicate results, concepts and ideas in context
  8. document the solution to problems in a way that demonstrates a clear, logical and precise approach
  9. communicate, work and learn together in peer learning teams where appropriate.

Alignment of Assessment Tasks to Learning Outcomes

Assessment Tasks Learning Outcomes
1 2 3 4 5 6 7 8 9
1 - Written Assessment      
2 - Written Assessment    
3 - Written Assessment  
4 - Examination  

Alignment of Graduate Attributes to Learning Outcomes

  • Introductory Level
  • Intermediate Level
  • Graduate Level
Graduate Attributes Learning Outcomes
1 2 3 4 5 6 7 8 9
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                

Alignment of Assessment Tasks to Graduate Attributes

  • Introductory Level
  • Intermediate Level
  • Graduate Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8
1 - Written Assessment    
2 - Written Assessment    
3 - Written Assessment  
4 - Examination    

Prescribed Textbooks

Basic Technical Mathematics with Calculus (SI Version)
Author/s: Washington, AJ Year: 2014
Edition: 10th edn Publisher: Pearson Canada
City: Toronto State: ON
Country: Canada
View textbooks at the CQUniversity Bookshop

IT Resources

You will need access to the following IT resources:
  • Internet
  • CQUniversity Student Email
  • Unit Website (Moodle)
All submissions for this unit must use the Harvard (author-date) referencing style (details can be obtained here). For further information, see the Assessment Tasks below.
Unit CoordinatorYucang Wang (y.wang2@cqu.edu.au)
Note: Check the Term-Specific section for any additional contact information provided by the teaching team
Week Begin Date Module/Topic Chapter Events and Submissions
Week 1 06-03-2017

Basic Algebraic Operations

Study Guide: Module 1; Textbook: 1.1-1.12

Diagnostic quiz

Week 2 13-03-2017

Geometry & the Trigonometric Functions

Study Guide: Module 2; Textbook: 2.1-2.4, 2.6, 4.2-4.5, 8.1-8.4

Week 3 20-03-2017

Functions, Graphs, & Inequalities

Study Guide: Module 3; Textbook: 3.1-3.4, 5.1, 5.2, 21.1, 21.2, 17.1, 17.2, 17.4

Week 4 27-03-2017

Factoring, Quadratic Functions, & Fractions

Study Guide: Module 4; Textbook: 6.1-6.3, 7.1-7.4, 6.5-6.8

Week 5 03-04-2017

Vectors & Oblique Triangles

Study Guide: Module 5; Textbook: 9.1-9.6

Assignment 1 Due Wednesday (05 Apr 17) 09:00 PM AEST
Vacation Week 10-04-2017
Week 6 17-04-2017

Ratio, Proportion, & Graphs of Trigonometric Functions

Study Guide: Module 6; Textbook: 18.1, 18.2, 10.1-10.3

Diagnostic quiz

Week 7 24-04-2017

Exponential & Logarithmic Functions

Study Guide: Module 7; Textbook: 11.1, 11.2, 13.1-13.6

Week 8 01-05-2017

Systems of Linear Equations, Determinants, & Matrices

Study Guide: Module 8; Textbook: 5.3-5.5, 16.1-16.4

Week 9 08-05-2017

The Derivative

Study Guide: Module 9; Textbook: 23.1-23.7

Diagnostic quiz

Assignment 2 Due Wednesday (10 May 17) 05:00 PM AEST
Week 10 15-05-2017

The Derivative; Applications of the Derivative

Study Guide: Module 10; Textbook: 23.9, 24.1, 24.7

Week 11 22-05-2017

Integration; Applications of Integration

Study Guide: Module 11; Textbook: 25.1, 25.2, 25.4, 26.1, 26.6

Week 12 29-05-2017

Introduction to Statistics

Study Guide: Module 12; Textbook: 22.1-22.4

Assignment 3 Due Wednesday (31 May 17) 05:00 PM AEST
Review/Exam Week 05-06-2017

Unit Review

Diagnostic quiz

Exam Week 12-06-2017

1 Written Assessment

Assessment Title Assignment 1
Task Description

This assignment has 25 mathematical questions from the first 4 weeks of the unit and will form part of a folio of worked mathematical examples that can be used as a reference for study.

The assignment questions are available from the term 1 2017 Moodle unit website. Follow the instructions and work your solutions carefully. Remember to check your answers.

Assessment Due Date Week 5 Wednesday (05-Apr-2017) 09:00 PM AEST
Return Date to Students Week 7 Wednesday (26-Apr-2017)
Weighting 25%
Assessment Criteria

Each question is worth 1 mark and the final marks are out of 25. All working should be shown to get part or full marks.

Referencing Style Harvard (author-date)
Submission Online

Submit according to the online submission instructions in Moodle.

Learning Outcomes Assessed
This section can be expanded to view the assessed learning outcomes

1. apply essential functions and trigonometric, statistical and matrix concepts, processes and techniques to support the development of mathematical descriptions and models for engineering problems

2. investigate and apply the properties of linear, quadratic, exponential and logarithmic functions in appropriate settings

3. use trigonometric functions to solve triangles and describe periodic phenomena

6. select appropriate mathematical methods appreciating the importance of underlying assumptions, use them to investigate and solve engineering problems, and interpret the results

7. use mathematics as a language to communicate results, concepts and ideas in context

8. document the solution to problems in a way that demonstrates a clear, logical and precise approach

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

8. Ethical practice



2 Written Assessment

Assessment Title Assignment 2
Task Description

This assignment has 25 questions and creates a folio of worked examples that can be used as a reference for study covering weeks 5-8 of the unit.

Each question is worth 1 mark and the final marks are out of 25. All working should be shown to get part or full marks.
Check the term 1 2017 Unit Website in Moodle for the questions. Follow the instructions carefully.
Assessment Due Date Week 9 Wednesday (10-May-2017) 05:00 PM AEST
Return Date to Students Week 11 Wednesday (24-May-2017)
Weighting 25%
Assessment Criteria

Each question is worth 1 mark and the final marks are out of 25. All working should be shown to get part or full marks.

Referencing Style Harvard (author-date)
Submission Online

Learning Outcomes Assessed
This section can be expanded to view the assessed learning outcomes

1. apply essential functions and trigonometric, statistical and matrix concepts, processes and techniques to support the development of mathematical descriptions and models for engineering problems

2. investigate and apply the properties of linear, quadratic, exponential and logarithmic functions in appropriate settings

3. use trigonometric functions to solve triangles and describe periodic phenomena

4. use vector and matrix algebra to solve problems in an engineering context

6. select appropriate mathematical methods appreciating the importance of underlying assumptions, use them to investigate and solve engineering problems, and interpret the results

7. use mathematics as a language to communicate results, concepts and ideas in context

8. document the solution to problems in a way that demonstrates a clear, logical and precise approach

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

8. Ethical practice



3 Written Assessment

Assessment Title Assignment 3
Task Description

This assignment has 10 questions and creates a folio of worked examples that can be used as a reference for study covering work from weeks 9 to 11 of the unit.

Check the term 1 2017 Unit Website in Moodle for the questions. Follow the instructions carefully.
Assessment Due Date Week 12 Wednesday (31-May-2017) 05:00 PM AEST
Return Date to Students Review/Exam Week Wednesday (07-Jun-2017)
Weighting 10%
Assessment Criteria

Each question is worth 1 mark and the final marks are out of 10. All working should be shown to get part or full marks.

Referencing Style Harvard (author-date)
Submission Online

Learning Outcomes Assessed
This section can be expanded to view the assessed learning outcomes

1. apply essential functions and trigonometric, statistical and matrix concepts, processes and techniques to support the development of mathematical descriptions and models for engineering problems

2. investigate and apply the properties of linear, quadratic, exponential and logarithmic functions in appropriate settings

3. use trigonometric functions to solve triangles and describe periodic phenomena

4. use vector and matrix algebra to solve problems in an engineering context

5. organise and analyse data using the concepts of elementary statistics

7. use mathematics as a language to communicate results, concepts and ideas in context

8. document the solution to problems in a way that demonstrates a clear, logical and precise approach

9. 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 - non-electronic, concise, direct translation only (dictionary must not contain any notes or comments).
Calculator - all non-communicable 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 essential functions and trigonometric, statistical and matrix concepts, processes and techniques to support the development of mathematical descriptions and models for engineering problems

2. investigate and apply the properties of linear, quadratic, exponential and logarithmic functions in appropriate settings

3. use trigonometric functions to solve triangles and describe periodic phenomena

4. use vector and matrix algebra to solve problems in an engineering context

5. organise and analyse data using the concepts of elementary statistics

6. select appropriate mathematical methods appreciating the importance of underlying assumptions, use them to investigate and solve engineering problems, and interpret the results

7. use mathematics as a language to communicate results, concepts and ideas in context

8. document the solution to problems in a way that demonstrates a clear, logical and precise approach

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

8. Ethical practice


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