Unit Profiles ›› MATH12223 Calculus and Linear Algebra A
MATH12223  Calculus and Linear Algebra A
Term 1  2017
Prescribed Textbooks



IT Resources
You will need access to the following IT resources: CQUniversity Student Email
 Internet
 Unit Website (Moodle)
 WolframAlpha on the internet
Unit Coordinator  Ross Shepherd (r.shepherd@cqu.edu.au) 

Week  Begin Date  Module/Topic  Chapter  Events and Submissions 

Week 1  06032017 
Lecture 1  Course Info & Preview Lecture 2  Appendix A Lecture 3  Appendix C 
Textbook  Preview plus Appendix A & Appendix C 
Do week 1 tutorial exercises. 
Week 2  13032017 
Lecture 1  Section 1.1 & 1.2 Lecture 2  Section 1.3 & 1.4 Lecture 3  Section 1.5 
Textbook  Sections 1.1 to 1.5 inclusive 
Do week 2 tutorial exercises. 
Week 3  20032017 
Lecture 1  Section 1.6 Lecture 2  Section 1.7 & Appendix I Lecture 3  Appendix I & Section 2.1 
Textbook  Sections 1.6 to 2.1 inclusive & Appendix I 
Do week 3 tutorial exercises. 
Week 4  27032017 
Lecture 1  Section 2.2 Lecture 2  Section 2.3 Lecture 3  Section 2.4 & 2.5 
Textbook  Sections 2.2 to 2.5 inclusive 
Do week 4 tutorial exercises. 
Week 5  03042017 
Lecture 1  Section 2.6 Lecture 2  Section 2.7 Lecture 3  Section 2.8 
Textbook  Sections 2.6 to 2.8 inclusive 
Do week 5 tutorial exercises. Assignment 1 Due Friday (07 Apr 17) 11:00 PM AEST 
Vacation Week  10042017  
Week 6  17042017 
Lecture 1  Section 3.1 Lecture 2  Section 3.2 & 3.3 Lecture 3  Section 3.4 & 3.5 
Textbook  Sections 3.1 to 3.5 inclusive 
Do week 6 tutorial exercises. 
Week 7  24042017 
Lecture 1  Section 3.6 Lecture 2  Section 3.7 Lecture 3  Section 3.8 & 3.9 
Textbook  Sections 3.6 to 3.9 inclusive 
Do week 7 tutorial exercises. 
Week 8  01052017 
Lecture 1  Section 4.1 Lecture 2  Section 4.2 Lecture 3  Section 4.3 
Textbook  Sections 4.1 to 4.3 inclusive 
Do week 8 tutorial exercises. 
Week 9  08052017 
Lecture 1  Section 4.5 Lecture 2  Section 4.6 Lecture 3  Section 4.7 & 4.8 
Textbook  Sections 4.5 to 4.8 inclusive 
Do week 9 tutorial exercises. Assignment 2 Due Friday (12 May 17) 11:00 PM AEST 
Week 10  15052017 
Lecture 1  Section 9.1 & 9.2 Lecture 2  Section 9.3 & 9.4 Lecture 3  Section 9.5 
Textbook  Sections 9.1 to 9.5 inclusive 
Do week 10 tutorial exercises. 
Week 11  22052017 
Lecture 1  Euclidean mspace Lecture 2  Systems of linear equations Lecture 3  Row reduction of linear systems 
Lecture notes available on Moodle website 
Do week 11 tutorial exercises. 
Week 12  29052017 
Lecture 1  Introduction to matrices Lecture 2  Matrices equations and inverses Lecture 3  Revision 
Lecture notes available on Moodle website 
Do week 12 tutorial exercises. 
Review/Exam Week  05062017  
Exam Week  12062017 
To pass the unit (MATH12223) you must obtain:
 at least 24 out of 60 marks on the final exam AND
 at least 50% on the combined total mark for the two assignments and the exam.
Each of the two assignments is worth 20% of the total assessment for this course. Each assignment question is an evennumbered exercise from the textbook. Full working must be shown for each assignment question. It is recommended that you work routinely and methodically through a selection of oddnumbered exercises from the textbook as solutions to all oddnumbered exercises are available in the Student Solutions Manual which is a prescribed text and available from the Bookshop. To help you I have provided a suggested list of Tutorial Exercises (from the textbook) on the Moodle website. Solutions to the Tutorial Exercises are in the Student Solutions Manual which is a prescribed text.
1 Written Assessment
Assessment Title  Assignment 1 

Task Description
Submit full worked solutions to twenty evennumbered exercises selected from the Stewart Calculus textbook. The exercises cover topics from Weeks 1 to 4 of the course. The selected exercises and other assignment 1 details are given on the Moodle website.


Assessment Due Date  Week 5 Friday (07Apr2017) 11:00 PM AEST Submit in Week 5 by 11pm on Friday. 
Return Date to Students  Week 6 Friday (21Apr2017) Results will be available to students two weeks after the submission date. 
Weighting  20% 
Assessment Criteria
Marks for each assignment question will be awarded for the setting out, showing the correct steps in the solution as well as finding the correct answer. Full details about the assessment criteria for assignment 1 are available on the Moodle website.


Referencing Style  Harvard (authordate) 
Submission 
Online
Assignment 1 must be submitted online as a PDF document through the upload facility on the MATH12223 Moodle website. 
Learning Outcomes Assessed 
This section can be expanded to view the assessed learning outcomes
1. Formulate and apply mathematical functions and graphs to model typical applied scenarios. 2. Apply the concepts of limit, continuity and derivative of a function to solve problems. 5. Analyse and solve problems using complex numbers and trigonometry. 9. Use mathematical software to visualise, analyse and solve problems in single variable differential calculus and linear algebra. 
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
Submit full worked solutions to twenty evennumbered exercises selected from the Stewart Calculus textbook. The exercises cover topics from Weeks 5 to 8 of the course. The selected exercises and other details are given on the Moodle website.


Assessment Due Date  Week 9 Friday (12May2017) 11:00 PM AEST Submit in Week 9 by 5pm on Friday 
Return Date to Students  Week 11 Friday (26May2017) Results will be available to students two weeks after the submission date. 
Weighting  20% 
Assessment Criteria
Marks for each assignment question will be awarded for the setting out, showing the correct steps in the solution as well as finding the correct answer. Full details about the assessment criteria for assignment 2 are available on the Moodle website.


Referencing Style  Harvard (authordate) 
Submission 
Online
Assignment 2 must be submitted online as a PDF document through the upload facility on the MATH12223 Moodle website. 
Learning Outcomes Assessed 
This section can be expanded to view the assessed learning outcomes
3. Apply the rules of differentiation like the product, quotient and chain rules, as well as implicit differentiation in appropriate situations. 4. Apply differentiation to solve problems involving rates of change including optimisation, determining the shape of curves, l’Hospital’s rule and Newton’s method. 5. Analyse and solve problems using complex numbers and trigonometry. 9. Use mathematical software to visualise, analyse and solve problems in single variable differential calculus and linear algebra. 
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 
Examination
Outline  Complete an examination 

Date  During the University examination period 
Weighting  60% 
Condition  Minimum percentage of examination marks required to pass course  40% (or 24 marks out of the 60 marks available on the exam). 
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. Formulate and apply mathematical functions and graphs to model typical applied scenarios. 2. Apply the concepts of limit, continuity and derivative of a function to solve problems. 3. Apply the rules of differentiation like the product, quotient and chain rules, as well as implicit differentiation in appropriate situations. 4. Apply differentiation to solve problems involving rates of change including optimisation, determining the shape of curves, l’Hospital’s rule and Newton’s method. 5. Analyse and solve problems using complex numbers and trigonometry. 6. Apply vectors and vector operators in two and three dimensional space, particularly for the equations of lines and planes. 7. Solve systems of linear equations using elimination and row operations. 8. Apply matrices and matrix operators, particularly for solving systems of linear equations. 
Graduate Attributes 
This section can be expanded to view the assessed graduate attributes
1. Communication 2. Problem Solving 3. Critical Thinking 4. Information Literacy 8. Ethical practice 
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