Course Title: Provide computational solutions to power engineering problems

Part B: Course Detail

Teaching Period: Term2 2011

Course Code: EEET6786C

Course Title: Provide computational solutions to power engineering problems

School: 130T Vocational Engineering

Campus: City Campus

Program: C6085 - Advanced Diploma of Electrical - Technology

Course Contact: Dr Elmas Aliu

Course Contact Phone: +61 3 9925 4360

Course Contact Email:

Name and Contact Details of All Other Relevant Staff

Dr Olga Gredeskoul

Phone: +61 3 9925 4392
Location: 57.05.031

Nominal Hours: 60

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

Granting competency in this unit shall be made only after
competency in the following unit has been confirmed:

UEENEEG002B Solve problems in single and three phase low
voltage circuit

Course Description

This competency standard unit covers the application of
computational processes to solving problems encountered in
Power engineering. It encompasses working safely, applying
problem solving techniques, using a range of mathematical
processes, providing solutions to power engineering problems
and justifying such solutions.

National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

UEENEEG047B Provide computational solutions to power engineering problems


1. Provide computational solutions to engineering problems

Performance Criteria:

1.1 OHS procedures for a given work area are obtained and understood

1.2 The nature of the problems are obtained from documentation or from work supervisor to establish the scope of work to be undertaken

1.3 Power engineering 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 appropriate mathematical processes and within the realistic accuracy.


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 an appropriate person or persons notified.

Learning Outcomes


Details of Learning Activities

Learning activities include:

  • Attending scheduled lectures and tutorial classes
  • Participating in group discussions / problem solving
  • Completing tutorial exercises
  • Using mathematical software and computer assisted learning
You are expected to complete tutorial/assessment tasks outside of the class time.

Teaching Schedule

Week NumberDate (Monday)Topic DeliveredAssessment Task / Self-assessment quizzes
14 July

1. Functions and their properties - revision: Linear and  non-linear functions.

211 July2. Functions and their properties - revision: Exponential and Logarithmic functions  
318 July3. Functions and their properties - revision: Hyperbolic and Trigonomertic functions  
425 July4. Complex numbers. Definition. Operations with complex numbers. 
51 August5. Graphical representation of complex numbers. Accumulative tutorial assessment Part A (10%)
68 August6. Polar form of complex numbers. Vectors and complex numbers. 
715 AugustTopics 1 - 6 Revision.  
822 AugustMid-semester testMid-semester test (40%)
95 September7. The exponential form of complex numbers. 
1012 September8. Engineering applications. Phasors.  
1119 September9. Matrix algebra. Definitions. Matrix addition, subtraction and multiplication.   
1226 September10. Determinants. The inverse of a matrix. 
133 October11. Application to the solution of simultaneous equations. 
1410 October12. Eigenvalues and eigenvectors.  Accumulative tutorial assessment Part B (10%)
1517 October13. Engineering applications (cont.) Analysis of electrical networks 
1624 OctoberTopics 7 - 13 Revision 
1731 October
 Centralised Exam Period Week 1
 Final examination (40%)
187 November Centralised Exam Period Week 2 

Learning Resources

Prescribed Texts

A.Croft, R.Davison. Mathematics for Engineers. A Modern Interactive Approach. 3rd edition. Pearson Education, 2008


Glyn James. Modern Engineering Mathematics. 4th edition. Pearson Education, 2008




Other Resources

Lecture notes, tutorial exercises, quizzes and assessment tasks will be published on the course Blackboard site (Learning Hub).
You are required to regularly visit this site to check announcements and keep up-to-date with course materials.

Overview of Assessment

Assessment in this competency includes quizzes, tests, assignments, projects and computer assisted learning.

Assessment Tasks

Assessment in this course comprises the following:

  • Self-assessment online quizzes supplement topics learned in class (no marks)  
  • Accumulative tutorial assignment includes attendance of and participation in tutorial class sessions. Solutions to tutorial exercises will be assessed twice: at the end of week 5 (Part A ), and at the end of week 14 (part B).  Accumulative tutorial assessment is worth 20% of the total mark.  
  • Mid-semester test (40%) covers topics 1 - 6. It will be conducted during class time in week 8.
  • Final examination (40%) covers topics 7 - 13. It will be conducted during Centralised Exam Period weeks 17-18.

This course is graded using the following course grades-

CHD- Competent with High Distinction
CDI- Competent with Distinction
CC- Competent with Credit
CAG- Competency Achieved - Graded
NYC- Not Yet Competent
DNS- Did Not Submit for Assessment

Make sure you understand the special consideration policy available at -;ID=qkssnx1c5r0y

Assessment Matrix

Other Information

In this course, minimum student directed hours are 12 in addition to 48 scheduled teaching hours.

Student directed hours involve completing activities such as reading online resources, tutorial problems, assignments, and individual student-teacher course-related consultation.

Course Overview: Access Course Overview