Course Title: Provide technical leadership in the workplace
Part B: Course Detail
Teaching Period: Term2 2009
Course Code: BUSM5726C
Course Title: Provide technical leadership in the workplace
School: 130T Vocational Engineering
Campus: City Campus
Program: C6042 - Advanced Diploma of Computer Systems 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
Dr Elmas Aliu
+61 3 9925 4360
elmas.aliu@rmit.edu.au
Nominal Hours: 54
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
Eng Maths 1, 2 and 3
Course Description
This course is a combination of appications in probability, statistics and mathematical/linear programming.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
UTENES008A Provide technical leadership in the workplace |
Element: |
Demonstrate standards of performance Maintain personal competence Organise personal work priorities |
Performance Criteria: |
Work demonstrated follows OH&S policies and procedures with the work is appropriately sequenced in accordance with requirements |
Learning Outcomes
Collect, analyse and organise information.
Communicate ideas and information ((testing & evaluation procedures)
Plan and organise activities (lab & simulation activities)
Work with others and in teams (lab & simulation activities)
Apply mathematical ideas and techniques (calculations)
Solve problems
Use technology
Details of Learning Activities
• Classroom tutorial activities to consolidate the theory and application of various types of probability and Statistical data into engineering problems
Teaching Schedule
Week number | Topic Delivered | Assessment Task |
Week 1 |
Introduction to of the competency Induction of the Stochastic processes. |
|
Week 2 | Introduction to Probability. Introduction to sets and subsets. Sample spaces. Events. Conditional Probability. | |
Week 3 | Random variables. Expected value. The variance. Probability Distribution. The distribution function. The density function. Discrete Random Variable. Continuous Random Variable. |
|
Week 4 | Bernoulli distribution, Normal Distribution and Poisson Distribution with their applications. | |
Week 5 | Binomial Distribution, Geometric Distribution and Uniform Distribution with their applications. Independent Random Variables. | Assignment 1 handed out (worth 10% of total mark) due date end of week 9. |
Week 6 | Independent Random Variables. Probability plots in computer software. |
|
Week 7 | The queuing method. Computer Software implementation. Simple linear regression and correlation. |
|
Week 8 | Practice test and revision. | Practice test and revision |
Week 9 | Test 1 | Test 1 (worth 40% of total mark) |
Week 10 | Simple Optimization technique. Lagrange multipliers |
|
Week 11 | Graphical techniques. | |
Week 12 | Linear Programming. Introduction. The graphical method. |
|
Week 13 | Simplex method. | Assignment 2 (worth 10% of total mark) handed out. Due date last day of week 18. |
Week 14 | Dual Simplex Method | |
Week 15 | Duality | |
Week 16 | Sensitivity analysis and post – optimal analysis. | |
week 17&18 |
Revision. Practice test 2 Test 2 (Final Test) |
Practice test Assignment 2 Due date. |
Learning Resources
Prescribed Texts
Intro to Statistics, PJ Smith Linnnear Programming, G Hardley |
References
Probability and Statistics, M R Spiegel, |
Other Resources
• Student Info on S:drive contains information, use as a study resource.
• To find your course on the s-drive/Learning Hub
• Select the S-drive, folder/Elmas/2009
• Or logon to the Learning Hub and find information about your courses.
Overview of Assessment
Assingment 1 and 2
Test 1 and 2
Assessment Tasks
The assessment is conducted in both theoretical and practical aspects of the course according to the criteria set in the National Training Package.
Assessment Matrix
Assignment 1 (10%)
Assignment 2 (10%)
Test 1 (Mid Semester test 40%)
Test 2 (Final Test 40%)
Course Overview: Access Course Overview