# ENGINEERING PROBABILITY AND STATISTICS

STM2EPS

2019

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).

SchoolSchool Engineering&Mathematical Sciences

Credit points15

Subject Co-ordinatorNatalie Karavarsamis

Available to Study Abroad StudentsYes

Subject year levelYear Level 2 - UG

Exchange StudentsYes

## Subject particulars

### Subject rules

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

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

## Learning resources

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsOnline learning materialsPrescribedLuke Prendergast 2016La Trobe University

## 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.

Activities:
Modeled in online readings and videos and practised in tutorials.

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.

Activities:
Modeled in online readings and videos and practised in tutorials.

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

Activities:
Modeled in online readings and videos and practised in tutorials and computer lab classes.

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

Activities:
Modeled in online readings and videos and practised in tutorials and computer lab classes.

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.

Activities:
Modeled in online readings and videos and practised in tutorials and computer lab classes.

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

Activities:
Modeled in online readings and videos and practised in tutorials and computer lab classes.

## Subject options

Select to view your study options…

Start date between: and    Key dates

## Bendigo, 2019, Semester 2, Blended

### Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorNatalie Karavarsamis

### Class requirements

Computer LaboratoryWeek: 31 - 43
One 2.0 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 2.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via online.

### Assessments

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.1001, 03, 05
Four assignments, submitted online (500 words each, 2000 words equivalent total)4001, 02, 03, 04, 05, 06
Two hour Final Exam (2000 words equivalent)5001, 02, 03, 04, 05, 06

## Melbourne, 2019, Semester 2, Blended

### Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorNatalie Karavarsamis

### Class requirements

Computer LaboratoryWeek: 31 - 43
One 2.0 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 2.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via online.