Unit Profiles ›› MATH11160 Technology Mathematics
MATH11160  Technology Mathematics
Term 1  2017
Prescribed Textbooks

IT Resources
You will need access to the following IT resources: Internet
 CQUniversity Student Email
 Unit Website (Moodle)
Unit Coordinator  Yucang Wang (y.wang2@cqu.edu.au) 

Week  Begin Date  Module/Topic  Chapter  Events and Submissions 

Week 1  06032017 
Basic Algebraic Operations 
Study Guide: Module 1; Textbook: 1.11.12 
Diagnostic quiz 
Week 2  13032017 
Geometry & the Trigonometric Functions 
Study Guide: Module 2; Textbook: 2.12.4, 2.6, 4.24.5, 8.18.4 

Week 3  20032017 
Functions, Graphs, & Inequalities 
Study Guide: Module 3; Textbook: 3.13.4, 5.1, 5.2, 21.1, 21.2, 17.1, 17.2, 17.4 

Week 4  27032017 
Factoring, Quadratic Functions, & Fractions 
Study Guide: Module 4; Textbook: 6.16.3, 7.17.4, 6.56.8 

Week 5  03042017 
Vectors & Oblique Triangles 
Study Guide: Module 5; Textbook: 9.19.6 
Assignment 1 Due Wednesday (05 Apr 17) 09:00 PM AEST 
Vacation Week  10042017  
Week 6  17042017 
Ratio, Proportion, & Graphs of Trigonometric Functions 
Study Guide: Module 6; Textbook: 18.1, 18.2, 10.110.3 
Diagnostic quiz 
Week 7  24042017 
Exponential & Logarithmic Functions 
Study Guide: Module 7; Textbook: 11.1, 11.2, 13.113.6 

Week 8  01052017 
Systems of Linear Equations, Determinants, & Matrices 
Study Guide: Module 8; Textbook: 5.35.5, 16.116.4 

Week 9  08052017 
The Derivative 
Study Guide: Module 9; Textbook: 23.123.7 
Diagnostic quiz Assignment 2 Due Wednesday (10 May 17) 05:00 PM AEST 
Week 10  15052017 
The Derivative; Applications of the Derivative 
Study Guide: Module 10; Textbook: 23.9, 24.1, 24.7 

Week 11  22052017 
Integration; Applications of Integration 
Study Guide: Module 11; Textbook: 25.1, 25.2, 25.4, 26.1, 26.6 

Week 12  29052017 
Introduction to Statistics 
Study Guide: Module 12; Textbook: 22.122.4 
Assignment 3 Due Wednesday (31 May 17) 05:00 PM AEST 
Review/Exam Week  05062017 
Unit Review 
Diagnostic quiz 

Exam Week  12062017 
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 (05Apr2017) 09:00 PM AEST 
Return Date to Students  Week 7 Wednesday (26Apr2017) 
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 (authordate) 
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 58 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 (10May2017) 05:00 PM AEST 
Return Date to Students  Week 11 Wednesday (24May2017) 
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 (authordate) 
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 (31May2017) 05:00 PM AEST 
Return Date to Students  Review/Exam Week Wednesday (07Jun2017) 
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 (authordate) 
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  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 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 
Page generated by appsprod01.cqu.edu.au at Sun May 28 05:18:33 AEST 2017