Course Title: Apply technical mathematics
Part B: Course Detail
Teaching Period: Term1 2015
Course Code: MATH7062C
Course Title: Apply technical mathematics
School: 130T Vocational Engineering
Campus: City Campus
Program: C6130 - Advanced Diploma of Engineering (Mechanical)
Course Contact: Program Manager
Course Contact Phone: +61 3 9925 4468
Course Contact Email: vehs@rmit.edu.au
Name and Contact Details of All Other Relevant Staff
Teacher: Amandeep Kaur
Contact Number: +61 3 9925 4444
Email: amandeep.kaur@rmit.edu.au
Nominal Hours: 80
Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.
Pre-requisites and Co-requisites
Nil
Course Description
This unit of competency covers the application of mathematical analysis, graphical and software techniques to engineering problems. It includes exponential and logarithmic functions, trigonometric equations involving single and double angles, sequences and series, two dimensional vector analysis, complex numbers, determinants and matrices.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
MEM23004 Apply technical mathematics |
Element: |
1. Determine scope of technical mathematical techniques required for an engineering application |
Performance Criteria: |
1.1 Analyse an engineering application for required technical mathematical tasks |
Element: |
2. Apply technical mathematical techniques to engineering application |
Performance Criteria: |
2.1 Use appropriate software for analytical and graphical solutions |
Learning Outcomes
Refer to Elements
Details of Learning Activities
Learning Activities
You will be involved in the following learning activities to meet requirements for this competency and stage 1 competencies for Engineering Associates.
- Lectures
- Tutorial
- Mathematical software simulations
Engineers Australia Mapping Information:
This course is mapped against stage 1 competencies for Engineering Associates developed by Engineers Australia as detailed below:
EA 1. Knowledge and Skill Base
EA1.1. Descriptive, formula-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the practice area.
EA 1.2. Procedural-level understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the practice area.
EA 1.3. In depth practical knowledge and skills within specialist sub-disciplines of the practice area.
EA 1.4. Discernment of engineering developments within the practice area.
EA 1.5. Knowledge of contextual factors impacting the practice area.
EA 1.6. Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the area of practice.
EA 2. Engineering Application Ability
EA 2.1. Application of established technical and practical methods to the solution of well-defined engineering problems.
EA 2.2. Application of technical and practical techniques, tools and resources to well defined engineering problems.
EA 2.3. Application of systematic synthesis and design processes to well defined engineering problems.
EA 2.4. Application of systematic project management processes.
EA 3. Professional and Personal Attributes
EA 3.1. Ethical conduct and professional accountability.
EA 3.2. Effective oral and written communication in professional and lay domains.
EA 3.3. Creative, innovative and pro-active demeanour.
EA 3.4. Professional use and management of information.
EA 3.5. Orderly management of self, and professional conduct.
EA 3.6. Effective team membership and team leadership.
Engineers Australia Stage 1 Competencies are mapped with competency MEM23004A in the Assessment Matrix.
Teaching Schedule
The proposed teaching schedule for this competency is detailed below:
| Week | Topics Delievered | Elements/Performance Criteria |
| 1 | Introduction to course, course guide, assessments, topics breakdown, resources, & OHS issues. Basic mathematical operations and Introduction to Mathematical software | 1.1, 1.2, 2.3 |
| 2 | Binomials and polynomials including the software analysis Portfolio Exercise 1 |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 3 | Exponential and logarithmic functions Portfolio Exercise 2 |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 4 | Exponential and logarithmic functions (Graph) including computer software analysis |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 5 | Arithmetic and algebraic expressions, sequences and series Portfolio Exercise 3 Portfolio Exercise 2 is due |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 6 | Basic Trigonometric ratio (Revision) and Portfolio feedback session 1 Assignment is issued |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 7 | Trigonometric equations Portfolio Exercise 4 Portfolio Exercise 3 is due |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 8 | Trigonometric equations including computer software analysis Portfolio Exercise 4 |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 9 | Two dimensional vectors Portfolio Exercise 5 Portfolio Exercise 4 is due |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 10 | Two dimensional vectors including computer software analysis Portfolio Exercise 5 Portfolio Exercise 5 is due Portfolio Feedback session 2 |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 11 | Determinant and matrices / System of linear equations Portfolio Exercise 6 |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 12 | Determinant and matrices including software analysis Portfolio Exercise 6 Portfolio Exercise 6 is due |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 13 | Number systems Portfolio Exercise 7 |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 14 | Complex number including the software analysis Portfolio Exercise 8 Portfolio Exercise 7 is due |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 15 | Statistics and probability including the software analysis Portfolio Exercise 9 Portfolio Exercise 8 is due |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 16 | Revision and Portfolio Feedback session 3 Portfolio Exercise 9 is due Assignment is due |
1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 17 | Assignment Feedback session | 1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
| 18 | Final Test | 1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 2.4, 2.5 |
Student directed hours involve completing activities such as reading online resources, assignments, individual student-teacher course-related consultation. Students are required to self-study the learning materials and complete the assigned out of class activities for the scheduled non-teaching hours. The estimated time is minimum 17 hours outside the class time.
Learning Resources
Prescribed Texts
Class notes and tutorials |
References
Techanical Mathematics by John C.Peterson, 4th Edition, Cengage Learning |
Other Resources
Audio-visual aids and course notes and relevant online resources.
Overview of Assessment
The assessment is conducted in both theoretical and practical aspects of the course according to the performance criteria set in the National Training Package. Assessment may incorporate a variety of methods including written/oral activities and demonstration of practical skills to the relevant industry standards. Participants are advised that they are likely to be asked to personally demonstrate their assessment activities to their teacher/assessor. Feedback will be provided throughout the course. To successfully complete this course you will be required to demonstrate competency in each assessment task detailed under Assessment Tasks:
Assessment 1: Assessment Parts A and B
Weighting towards final grade (%) for Part A: 10
Weighting towards final grade (%) for Part B: 40
Assessment 2: Test
Weighting towards final grade (%): 50
These tasks assesses the following Course Learning Outcomes (CLOs):
Assessment Mapping Matrix
|
Elements/ Performance Criteria Covered |
Assessment 1 Part A and B |
Test |
1.1 |
X |
X |
1.2 |
X |
X |
1.3 |
X |
X |
2.1 |
X |
X |
2.2 |
X |
X |
2.3 |
X |
X |
2.4 |
X |
X |
2.5 |
X |
X |
Assessment Tasks
• Portfolio exercises, 30% - Progressive assessments (Weeks 2 to 16, refer to Teaching Schedule)
• Assignment, 20% -Week 16
• Final Test, 50% -Week 18
This course is graded as Competent or Not Yet Competent and subsequently the following course grades are allocated:
80 - 100: CHD - Competent with High Distinction
70 - 79: CDI - Competent with Distinction
60 - 69: CC - Competent with Credit
50 - 59: CAG - Competency Achieved - Graded
0 - 49: NYC - Not Yet Competent
DNS - Did Not Submit for Assessment.
Assessment Matrix
Assessment vs MEM23004A Elements & Performance Criteria
| MEM23004A Elements & Performance Criteria | ||||||||||
| Assessments | 1.1 | 1.2 | 2.1 | 2.2 | 3.1 | 3.2 | 3.3 | 3.4 | 4.1 | 4.2 |
| Portfolio exercises | X | X | X | X | X | X | X | X | X | X |
| Assignment | X | X | X | X | X | X | X | X | X | X |
| Final Test | X | X | X | X | X | X | X | X | X | X |
Assessment vs Engineers Australia Stage 1 Competencies
| Engineers Australia Stage 1 Competencies | ||||||||||||||||
| Assessments | EA1.1 | EA1.2 | EA1.3 | EA1.4 | EA1.5 | EA1.6 | EA2.1 | EA2.2 | EA2.3 | EA2.4 | EA3.1 | EA3.2 | EA3.3 | EA3.4 | EA3.5 | EA3.6 |
| Portfolio exercises | X | X | X | X | ||||||||||||
| Assignment | X | X | X | X | X | |||||||||||
| Final test | X | X | X | X | ||||||||||||
| All assessments MEM23004A |
3 | 3 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| 0 (Blank) | Graduate attribute is not assessed. |
| 1 | Graduate attribute is assessed in at least one but less than one-third of the Element |
| 2 | Graduate attribute is assessed in at least one third but less than two-thirds of the Element |
| 3 | Graduate attribute is assessed in more than two-thirds of the Element |
Other Information
Credit Transfer and/or Recognition of Prior Learning (RPL):
You may be eligible for credit towards courses in your program if you have already met the learning/competency outcomes through previous learning and/or industry experience. To be eligible for credit towards a course, you must demonstrate that you have already completed learning and/or gained industry experience that is:
• Relevant
• Current
• Satisfies the learning/competency outcomes of the course
Please refer to http://www.rmit.edu.au/students/enrolment/credit to find more information about credit transfer and RPL.
Study and Learning Support:
Study and Learning Centre (SLC) provides free learning and academic development advice to you. Services offered by SLC to support your numeracy and literacy skills are:
• Assignment writing, thesis writing and study skills advice
• Maths and science developmental support and advice
• English language development
Please refer to http://www.rmit.edu.au/studyandlearningcentre to find more information about Study and Learning Support.
Disability Liaison Unit:
If you are suffering from long-term medical condition or disability, you should contact Disability Liaison Unit to seek advice and support to complete your studies.
Please refer to http://www.rmit.edu.au/disability to find more information about services offered by Disability Liaison Unit.
Late Submission:
If you require an Extension of Submittable Work (assignments, reports or project work etc.) for seven calendar days or less (from the original due date) and have valid reasons, you must complete an Application for Extension of Submittable Work (7 Calendar Days or less) form and lodge it with the Senior Educator/ Program Manager.
The application must be lodged no later than one working day before the official due date. You will be notified within no more than two working days of the date of lodgement as to whether the extension has been granted.
If you seek an Extension of Submittable Work for more than seven calendar days (from the original due date), you must lodge an Application for Special Consideration form under the provisions of the Special Consideration Policy, preferably prior to, but no later than two working days after the official due date.
Submittable Work (assignments, reports or project work etc.) submitted late without approval of an extension will not be accepted or marked.
Special Consideration:
Please refer to http://www.rmit.edu.au/students/specialconsideration to find more information about special consideration.
Plagiarism:
Plagiarism is a form of cheating and it is very serious academic offence that may lead to expulsion from the university.
Please refer to http://www.rmit.edu.au/academicintegrity to find more information about plagiarism.
Email Communication:
All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails.
Course Overview: Access Course Overview