Course Title: Use advanced computational processes to provide solutions to energy sector engineering problems
Part B: Course Detail
Teaching Period: Term2 2021
Course Code: COSC6140C
Course Title: Use advanced computational processes to provide solutions to energy sector engineering problems
School: 174T School of VE Engineering, Health & Science
Campus: City Campus
Program: C6120 - Advanced Diploma of Engineering Technology - Electrical
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
Dr Elmas Aliu
Ph: +61 3 9925 4360
Email: elmas.aliu@rmit.edu.au
Appointment by email
Program Manager
Dr. A R M Muniruzzaman
Email:
munir.muniruzzaman@rmit.edu.au
Appointment by email
Nominal Hours: 120
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
UEENEEE101A + UEENEEE104A + UEENEEG101A
Course Description
This unit covers the application of advanced computational processes to solve energy sector engineering problems. It encompasses working safely, applying problem solving techniques, using a range of advanced mathematical processes, providing solutions to electrical/electronics engineering problems and justifying such solutions.
Note: Typical engineering problems are those encountered in meeting requirements in a design brief, meeting performance requirements and compliance standards, revising systems operating parameters and dealing with system malfunctions.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
UEENEEE127A Use advanced computational processes to provide solutions to energy sector engineering problems |
Element: |
1. Provide computational solutions to energy sector engineering problems. |
Performance Criteria: |
1.1 OHS procedures for a given work area are identified, obtained and understood. |
Element: |
2. Complete work and document problem solving activities. |
Performance Criteria: |
2.1 Justification for solutions used to solve engineering problems is documented for inclusion in work/project development records in accordance with professional standards. |
Learning Outcomes
Refer to Elements
Details of Learning Activities
You will be involved in the following learning activities to meet requirements for the this competency and stage 1 competencies for Engineering Associates:-
• Classroom tutorial
• Work simulation activities
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
EA 1.1. 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 UEENEEE101A in the Assessment Matrix.
Teaching Schedule
The proposed teaching schedule for this competency is detailed below:
Week |
Topic Delivered | Elements /Performance criteria |
1 | Introduction to the competency |
1.1-1.6 |
2 | Use advanced computational processes to applications - equations of tangents and normals; stationary points; turning points; and curve sketching; rates of change; rectilinear motion |
|
3 | Use advanced computational processes to define Integral Calculus integration as the inverse operation to differentiation Use advanced computational processes to results of the integral of k.f(ax + b) where f(x) = x to the power of n, sin x, cos x, sec squared x, e to the power of x, method of substitution, the definite integral. |
1.1-1.6 |
4 | Use advanced computational processes to applications - areas between curves; rectilinear motion including displacement from acceleration and distance travelled; voltage and current relationship in capacitors and inductors and the like. Use advanced computational processes of integral calculus in engineering applications Assignment available due date end of week 16 |
1.4-1.6 2.1 |
5 | Use advanced computational processes to Linear Algebra (Matrix Algebra) Use advanced computational processes to linear mapping, determinants |
1.1-1.3 2.2 |
6 | Use advanced computational processes to solve engineering problems involving linear equations Use advanced computational processes to Vector Algebra Definition, geometrical representation, addition and scalar multiplication |
1.1-1.3 2.1-2.2 |
7 | Use advanced computational processes to solve engineering problems involving dot and cross products, equations of lines and planes | 1.1-1.6 2.1-2.2 |
8 | Practice test and revision Elements: 1(1.1-1.4) 2(2.1) |
1.1-1.4 2.1 |
9 | Test |
1.1-1.4 2.1 |
10 | Use advanced computational processes to solve problems involving functions of multiple variables graphs, level curves and surfaces partial derivatives; Use advanced computational processes to solve problems involving functions of multiple variables partial derivatives; chain rule; directional derivative; maxima and minima. |
1.4-1.6 2.1 |
11 | Use advanced computational processes to solve problems involving Sequences and Series Use advanced computational processes to solve problems involving infinite Series, Taylor’s Theorem power series manipulation. Use advanced computational processes to solve problems involving infinite Series, Taylor’s Theorem power series manipulation. |
1.1-1.3 2.1 |
12 |
Use advanced computational processes to solve problems involving Differential Equations: • Introduction and definition |
1.1-1.6 2.1 |
13 | Use advanced computational processes to solve problems involving Second Order linear Differential Equations Use advanced computational processes to solve problems involving partial differential equations. Numerical Techniques. |
1.1-1.3 2.1 |
14 | Use advanced computational processes to solve problems involving integers, irrational and complex numbers. Use advanced computational processes to solve problems involving complex numbers and their engineering applications |
1.4-1.6 2.2 |
15 | Use advanced computational processes to solve problems involving Statistics: assembly, representation and analysis of data. fitting distributions to data. non-parametric statistics. Tests of significance for means, variances and extreme values. Correlation |
1.4-1.6 2.2 |
16 | Practice Test and revision | 1.4-1.6 2.2 |
17&18 |
|
1.4-1.6 2.2 |
Learning Resources
Prescribed Texts
Glyn James, Modern Engineering Mathematics, fourth edition, Pearson Education Australia |
1447915925 |
References
Croft A, Davidson R, Mathematics for Engineers, third edition, Pearson Education Australia |
1408263238 |
Glyn James, Modern Engineering Mathematics, fourth edition, Pearson Education Australia |
1447915925 |
Other Resources
Students will be able to access information and learning materials through Canvas.
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: Assignment
Assessment 2: Test
Assessment 3: Final Test
These tasks assesses the following Course Learning Outcomes (CLOs):
Assessment Mapping Matrix
Element/Performance Criteria | Assignment |
Test | Final Test |
1.1 | x | x | x |
1.2 | X | X | X |
1.3 | X | X | X |
1.4 | X | X | X |
1.5 | X | X | X |
1.6 | X | X | X |
2.1 | X | X | X |
2.2 | X | X | X |
Assessment Tasks
Assessment 1: Assignment - Week 16
Assessment 2: Test - Week 9
Assessment 3: Final Test - Week 17,18
All assessment tasks need to be successfully completed to demonstrate competence.
To be deemed competent, student must achieve satisfactory (S) results in ALL assessments.
This course is assessed as Competent or Not Yet Competent and subsequently the following course results are allocated:
CA - Competency Achieved
NYC - Not Yet Competent
DNS - Did Not Submit for Assessment.
Assessment Re submissions (if Unsatisfactory):
You will be allowed 1(ONE) re submission attempt FOR EVERY ASSESSMENT (if unsatisfactory).
You will be provided with a new due date by your teacher for your re submission attempt if a re submission is required.
If you do not submit your assessment (First attempt) by the due date you will not be eligible for re submission if unsatisfactory.
Assessment Matrix
Assessment vs UEENEEE127A Elements & Performance Criteria
UEENEEE127A Elements & Performance Criteria | ||||||||
Assessments | 1.1 | 1.2 | 1.3 | 1.4 | 1.5 | 1.6 | 2.1 | 2.2 |
Assignment | X | X | X | X | X | X | X | X |
Test | X | X | X | X | X | X | X | X |
Final Test | 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 |
Assignment | X | X | X | X | X | X | X | X | X | X | X | X | X | |||
Test | X | X | X | X | X | X | ||||||||||
Final Test | X | X | X | X | X | X | X | X | X | |||||||
ALL ASSESSMENTS UEENEEE127A | 3 | 3 | 2 | 2 | 1 | 1 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 1 | 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 http://www.rmit.edu.au/studyandlearningcentre to find more information about Study and learning Support
Equitable Learning Services (ELS):
If you are suffering from long-term medical condition or disability, you should contact Equitable Learning Services (ELS) to seek advice and support to complete your studies.
Please refer to https://www.rmit.edu.au/students/support-and-facilities/student-support/equitable-learning-services to find more information about services offered by Equitable Learning Services (ELS).
Late submission:
If you require an Extension of Submittable Work (assignments, reports or project work etc.) for 7 calendar days or less (from the original due date) and have valid reasons, you must complete and lodge 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 2 working days of the date of lodgment as to whether the extension has been granted.
If you seek an Extension of Submittable Work for more than 7 calendar days (from the original due date) must lodge an Application for Special Consideration form under the provisions of the Special Consideration Policy, preferably prior to, but no later than 2 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 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: www.rmit.edu.au/academicintegrity to find more information about plagiarism.
Other Information:
All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails.
Course Overview: Access Course Overview