Course Title: Use advanced computational processes to provide solutions to engineering problems
Part B: Course Detail
Teaching Period: Term2 2010
Course Code: EEET6769C
Course Title: Use advanced computational processes to provide solutions to engineering problems
School: 130T Vocational Engineering
Campus: City Campus
Program: C6083 - Advanced Diploma of Electronics and Communications Engineering
Course Contact: Dr Elmas ALIU
Course Contact Phone: +61 3 9925 4360
Course Contact Email: elmas.aliu@rmit.edu.au
Name and Contact Details of All Other Relevant Staff
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
ISYS 5664C
Course Description
This unit covers the application of advanced computational
Processes to solve 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: |
UEENEEE027B Use advanced computational processes to provide solutions to engineering problems |
Element: |
1. Provide computational solutions to engineering problems |
Performance Criteria: |
|
Learning Outcomes
N/A
Details of Learning Activities
Students will participate face to face in
Classroom tutorial activities to consolidate the core essential mathematical concepts for engineering study, which may include:
• Linear algebra, including matrices, determinants, linear mappings, solving systems of linear equations
• Vector algebra and applications
• Function of multiple variables (partial derivatives)
• Sequences and series
• Differential equations, partial differential equations,
• Number theory,
• Statistics and probability
Work simulation activities focus in technical leadership activities, which include: team building, identify team member’s work task, clear and concise dissemination of ideas and information, planning and organising activities to meet requested standards. Demonstrate leadership characteristic, such as: problem solving, keeping records and documenting tasks.
Teaching Schedule
Week Number | Topic Delivered | Assessment Task |
1 | Introduction to the competency of EEET6769C Linear Algebra: Matrix Algebra |
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2 | • Matrices and the inverse of a matrix • Linear mappings |
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3 | • Determinants • Solutions of linear equations |
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4 | Vectors • Introduction • Geometrical representation • Addition and scalar multiplication • Dot and cross product Lines and Planes • Equations of lines and planes |
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5 | Functions of multiple Variables • Graphs, level curves and surfaces • Partial derivatives, chain rule; directional derivative • Maxima and minima |
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6 | Sequences and series • Algebraic and Fourier series, convergence |
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7 | Sequences and series (cont) • Taylor’s Theorem. Taylor’s Polynomials • Power series, addition, composition and multiplication |
Assignment 1 handed out (worth 10% of total mark) due date end of week 9. |
8 |
Practice test and revision |
Practice test and revision |
9 | Test 1 | Test 1 (worth 40% of total mark) |
10 | Differential Equations: • Introduction and definition • First order separable and linear equations |
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11 | • Applications of first order differential equations • Second Order linear Differential Equations |
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12 | • Applications of second order differential equations Partial Differential equations |
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13 | • Numerical Techniques for solving partial differential equations • Applications of partial differential equations to engineering problems |
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14 | Number Theory • Integer, irrational and complex numbers • Number systems • Arithmetic operations • Accuracy and stability |
Assignment 2 (worth 10% of total mark) handed out. Due date last day of week 18. |
15 | Statistics • Assembly, representation and analysis of distributions to data • Fitting distributions to data |
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16 | • Non-parametric statistics • Tests of significance for means, variance and extreme values • Correlation |
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17 | Revision. Practice test 2 | Assignment 2 Due date. Test 2 (worth 40% of total mark) |
18 | Test 2 |
Learning Resources
Prescribed Texts
Glyn James, Modern Engineering Mathematics, fourth edition, Pearson Education Australia |
References
Croft A, Davidson R, Mathematics for Engineers, third edition, Pearson Education Australia |
Other Resources
Overview of Assessment
Progressive assessments will include written and oral demonstration, assignments, tests, projects and computer assisted learning.
Assessment Tasks
Assessment task 1 (assignment 1): 10%
Written assignment to demonstrate an understanding with applications of linear algebra, including matrices, determinants, linear mappings, solving systems of linear equations, vectors, lines and planes, function of multiple variables (partial derivatives) and sequences and series which are covered from week 1 to week 8. This assessment allows students to work as a group which will help to revise and prepare for the next assessment (Tes1) which will cover similar topics.
Assessment task 2 (test 1): 40%
This assessment demonstrates an understanding with applications of linear algebra, including matrices, determinants, linear mappings, systems of linear equations, vectors, lines and planes, function of multiple variables (partial derivatives) and sequences and series which are covered from week 1 to week 8. The time allowed for this test is no more that 2.5 hours.
Assessment task 3 (assignment 2): 10%
Written assignment to demonstrate an understanding with applications of differential equations, partial differential equations, number theory, statistics and probability which is covered from week 10 to week 17. Similar to the assignment 1, students can work/study in groups which will help to revise and prepare for the next assessment (Test 2) which will cover similar topics.
Assessment task 4 (test 2): 40%
This assessment demonstrates an understanding with applications of differential equations, partial differential equations, number theory, statistics and probability which is covered from week 10 to week 17. The time allowed for this test is no more that 2.5 hours.(Similar to Test 1).
Assessment Matrix
Competency National Code | Competency Title | Cluster Title | Assessment Types |
UEENEEE027B | Use adv computational process | Advanced Engineering Mathematics |
Assignment 1 Test 1 Assignment 2 Test 2 |
Course Overview: Access Course Overview