Course Title: Use advanced computational processes to provide solutions to energy sector engineering problems

Part B: Course Detail

Teaching Period: Term2 2015

Course Code: COSC6140C

Course Title: Use advanced computational processes to provide solutions to energy sector engineering problems

School: 130T Vocational Engineering

Campus: City Campus

Program: C6121 - Advanced Diploma of Computer Systems Engineering

Course Contact: Program Manager

Course Contact Phone: +61 3 9925 4468

Course Contact Email: vocengineering@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

Dr Elmas Aliu
GPO Box 2476V, Melbourne 3001
PHONE: +61 3 9925 4360

FAX: +61 3 9925 4377

Email: elmas.aliu@rmit.edu.au

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

UEENEEE126A + UEENEEE129A
OR
UEENEEE101A + UEENEEE104A + UEENEEG101A
OR
UEENEEH114A + UEENEEE101A AND UEENEEE104A OR UEENEEH169A

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.


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.
1.2 The nature of the problems are obtained from documentation or work supervisor to establish the scope of work to be undertaken.
1.3 Problems are clearly stated in writing and/or diagrammatic form to ensure they are understood and appropriate methods used to resolve them.
1.4 Known constants and variable related to the problem are obtained from measured values or problem documentation.
1.5 Alternative methods for resolving the problem are considered and where necessary discussed with appropriate person(s).
1.6 Problems are solved using advanced mathematical processes and within the realistic accuracy.
 

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.
2.2 Work completion is documented and appropriate person(s) notified.
 


Learning Outcomes


Refer to Elements


Details of Learning Activities

You will involve 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

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 UEENEEE127A in the Assessment Matrix.


Teaching Schedule

 

The proposed teaching schedule for this competency is detailed below:

 

Week

Topic DeliveredElements /Performance criteria
1

Introduction to the competency
Use advanced computational processes to define Differential Calculus
• basic concepts of differential calculus, limited to definition of the derivative of a function as the slope of a tangent line (the gradient of a curve);limits; 
 

 1.1-1.6
2Use advanced computational processes to define and apply to
basic examples from 1st principles; Notation and Results of derivative of k.f(ax + b) where f(x)=x to the power of n, sin x, cos x, tan x, e to the power of x, ln x.
Use advanced computational processes to define and apply rules - derivative of sum and difference; product rule; quotient rule; chain rule (function of a function), limited to two rules for any given function, the 2nd derivative.
Assignment (Part A) handed out (worth 5% of total mark) due date end of week 9.
 
1.1-1.3
3

Use advanced computational processes to applications - equations of tangents and normals; stationary points; turning points; and curve sketching; rates of change; rectilinear motion
 

 1.3-1.4
4Use advanced computational processes to
verbally formulated problems involving related rates and maxima: minima
Use advanced computational processes to
Apply differential calculus to engineering problems
 
1.5-1.6
5Use advanced computational processes to define Integral Calculus
integration as the inverse operation to differentiation
 
 1.1-1.3
6Use 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.
 
1.4-1.5
7Use 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.
 
  1.5-1.6
 
8Use advanced computational processes of integral calculus in engineering applications
 
2.1
9Use advanced computational processes to Linear Algebra (Matrix Algebra)
Use advanced computational processes to linear mapping, determinants
Assignment (Part B) handed out (worth 15% of total mark) due date end of week 32
 
1.1-1.3
 
10Use advanced computational processes to linear mapping, determinants
Assignment (Part B) handed out (worth 15% of total mark) due date end of week 32
2.2
11Use advanced computational processes to solve engineering problems involving linear equations
Use advanced computational processes to 
 
 1.1-1.2
2.1 
12Vector Algebra Definition, geometrical representation, addition and scalar multiplication

 

1.3, 2.2
13
 Use advanced computational processes to solve engineering problems involving dot and cross products, equations of lines and planes
 1.1-1.5
2.2
 
14Use advanced computational processes to solve engineering problems involving equations of lines and planes1.6, 2.1
15

Revision

Elements:
1(1.1-1.4)
2(2.1)

 

1.1-1.4
2.1
 
16

Practice test

Elements:
1(1.1-1.4)
2(2.1)
 

1.1-1.4
2.1
 
17Closed book Test 1
(worth 30% of total mark)

 
1.1-1.4
2.1
 
18Use advanced computational processes to solve problems involving functions of multiple variables graphs, level curves and surfaces
partial derivatives;
 

 1.4

2.1
 

19Use advanced computational processes to solve problems involving functions of multiple variables partial derivatives; chain rule; directional derivative;

1.52.1

20Use advanced computational processes to solve problems involving functions of multiple variables partial derivatives;  maxima and minima
 

1.6

2.1

21Use 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.

 
 1.1-1.2
2.1
 
22Use advanced computational processes to solve problems involving infinite Series, Taylor’s Theorem power series manipulation.

 

1.3

2.1

23

Use advanced computational processes to solve problems involving Differential Equations:

• Introduction and definition
• First order separable and linear equations
Complete monitoring activities such as
Applications of first order differential equations
into engineering problems
 

 1.1-1.3
2.1
 
24Applications of first order differential equations
into engineering problems
 
1.4-1.6
2.1
 
25Use 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
 
26Use advanced computational processes to solve problems involving partial differential equations.
Numerical Techniques.
 

1.5-1.6

2.1

27 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
 
28Use advanced computational processes to solve problems involving complex numbers and their engineering applications
 

1.1-1.3

2.2

29Use advanced computational processes to solve problems involving Statistics:
assembly, representation and analysis of data.
fitting distributions to data.

 

 1.4

2.2
 

30Use advanced computational processes to solve problems involving Statistics:
.
non-parametric statistics.
tests of significance for means, variances and extreme values.
 

1.5

2.2

31Use advanced computational processes to solve problems involving Statistics:
Correlation
 

1.6

2.2

32 Practice Test and revision1.4-1.6
2.2
 
33&34
 Practice Test and revision 
1.4-1.6
2.2
 
35&36Closed book Final Test(worth 50% of total mark)1.4-1.6
2.2

Student directed hours involve completing activities such as reading online resources, assignment, 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 24 hours outside the class time.


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


Other 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: Assignment, Part A
Weighting towards final grade (%): 5

Assessment 2: Assignment, Part B
Weighting towards final grade (%): 15

Assessment 3: Closed Book Test 1
Weighting towards final grade (%): 30

Assessment 4: Closed Book Final Test
Weighting towards final grade (%): 50

These tasks assesses the following Course Learning Outcomes (CLOs):

Assessment Mapping Matrix

Elements/Performance CriteriaAssignment (Part A)Assignment (Part B)Test 1Final Test
1.1xxxx
1.2xxxx
1.3  xx
1.4  xx
1.5  xx
1.6xx x
2.1xx x
2.2  xx

 

 


Assessment Tasks

• Assignment, Part A 5% - Week 9
• Assignment, Part B 15% - Week 32

• Closed Book Test 1, 30% - Week 17
• Closed Book Final Test, 50% - Week 33-34

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 UEENEEE127A Elements & Performance Criteria

 UEENEEE127A Elements & Performance Criteria
Assessments1.11.21.31.41.51.62.12.2
Assignment (Part A)XX   XX 
Assignment (Part B)XX   XX 
Test 1XXXXX  X
Final TestXXXXXXXX

 

Assessment vs Engineers Australia Stage 1 Competencies

 Engineers Australia Stage 1 Competencies
AssessmentsEA1.1EA1.2EA1.3EA1.4EA1.5EA1.6EA2.1EA2.2EA2.3EA2.4EA3.1EA3.2EA3.3EA3.4EA3.5EA3.6
Assignment (Part A)XXXXXXXXXXX X X   
Assignment (Part B)X X X X X X X X X X X X   
Test 1XXXX  XX        
Final TestXX      XXX XXXX  
ALL ASSESSMENTS UEENEEE127A332211232 2 2221 0 0
0 (Blank)Graduate attribute is not assessed.
1Graduate attribute is assessed in at least one, but less than one-third, of the Element
2Graduate attribute is assessed in at least one third, but less than two-thirds, of the Element
3Graduate 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 have a long term medical condition and/or disability you can apply for adjustments to your study and assessment (Reasonable Adjustments and Equitable Assessment Arrangements) by registering with the Disability Liaison Unit (DLU) at http://www1.rmit.edu.au/browse;ID=01daxmpd1vo4z
 

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 communication will be sent to your RMIT email address and you must regularly check your RMIT emails.

Course Overview: Access Course Overview