ENGINEERING PROBABILITY AND STATISTICS

STM2EPS

2020

Credit points: 15

Subject outline

This subject develops an understanding of probability and statistics applied to engineering problems. Probability topics include joint and conditional probability, Bayes' Theorem and distributions such as the uniform, binomial, Poisson and normal distributions as well as properties of random variables and the Central Limit Theorem. Statistical inference and data analysis is also considered covering, among other topics, significance testing and confidence intervals with an introduction to methods such as ANOVA, linear and nonlinear regression and model verification. Applications to engineering such as queuing theory, reliability and efficiency of processes are considered throughout. Students will work to achieve the stage one competencies 1.2 (conceptual understanding of the underpinning mathematics, numerical analysis and statistics), 2.2 (fluent application of engineering techniques, tools and resources) and 3.2 (effective written communication).

School: Engineering and Mathematical Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: Amanda Shaker

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 2 - UG

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: Must be admitted in one of the following courses: SHENG, SHENGB, SHCE, SHCEB, SHENI, SHENIB or SBSCB

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

Online learning materials

Resource Type: Web resource

Resource Requirement: Prescribed

Author: Luke Prendergast

Year: 2016

Edition/Volume: N/A

Publisher: La Trobe University

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Identify probabilistic traits of engineering problems and choose methods which can be employed to determine valid and informative solutions.

02. Defend or question the validity of probability models applied to problems including, but not limited to, system and structural reliability, queuing theory and signal processing.

03. Demonstrate an ability to solve a variety of engineering problems using applications of probability models.

04. Define a statistical hypothesis with applications to engineering that may be tested using data.

05. Identify and apply statistical methods for hypothesis testing and estimation with applications in engineering that include, but are not limited to, quality control, reliability and efficiency of processing.

06. Present clear, well-structured summaries of findings, both probabilistic and data-based, using appropriate mathematical and statistical vocabulary.

Bendigo, 2020, Semester 2, Blended

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Toen Castle

Class requirements

Computer LaboratoryWeek: 31 - 43
One 2.00 hours computer laboratory per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

LectureWeek: 31 - 43
One 2.00 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via online.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
Five Online Quizzes (100 words each, 500 words equivalent total)Each quiz may be attempted a maximum of three times. The highest mark achieved for the up-to-three attempts is awarded.	N/A	N/A	N/A	No	10	SILO1, SILO3, SILO5
Four assignments, submitted online (500 words each, 2000 words equivalent total)	N/A	N/A	N/A	No	40	SILO1, SILO2, SILO3, SILO4, SILO5, SILO6
Two hour Final Exam (2000 words equivalent)	N/A	N/A	N/A	No	50	SILO1, SILO2, SILO3, SILO4, SILO5, SILO6

Melbourne (Bundoora), 2020, Semester 2, Blended