The University of Newcastle, Australia
Available in 2019

Course handbook

Description

This course introduces students to the development and application of probability and risk concepts to provide solutions to common problems formulated in engineering. Its purpose is to provide foundation material for later year courses in water, structural, and geotechnical engineering.


Availability2019 Course Timetables

BCA Singapore

  • Semester 1 - 2019

Callaghan

  • Semester 1 - 2019

Learning outcomes

On successful completion of the course students will be able to:

1. Recognize the key concepts of probability and Bayesian inference.

2. Formulate and solve problems dealing with probability and statistics in civil and environmental engineering applications.

3. Develop practical skills in Monte Carlo simulation.

4. Apply principles of making decisions under uncertainty.

5. Apply risk management principles.


Content

  • An introduction to probability and distribution theory targeted to civil and environmental engineering applications
  • Monte Carlo simulation: theory and practice
  • Bayesian inference with applications to the binomial and linear/nonlinear regression models
  • Introduction to risk assessment including sources of risk and risk acceptance criteria
  • Decision making under uncertainty including system representation, decision trees and optimization

Requisite

You cannot enrol in this course if you are active in one of the Engineering program codes of 10478, 12282, 12288, 12289, 12290, 12298, 12299 or 40005.


Assumed knowledge

CIVL2040Engineering ProbabilitiesThis course introduces students to the development and application of probability and risk concepts to provide solutions to common problems formulated in engineering. Its purpose is to provide foundation material for later year courses in water, structural, and geotechnical engineering.FENBEFaculty of Engineering and Built Environment512School of Engineering1020005940Semester 1 - 2019BCABCA Singapore20195940Semester 1 - 2019CALLAGHANCallaghan2019Course content covered in ENGG1002 Introduction to Engineering Computations (previously GENG1002), and content covered in MATH1120 Mathematics for Engineering, Science and Technology 2.An introduction to probability and distribution theory targeted to civil and environmental engineering applicationsMonte Carlo simulation: theory and practiceBayesian inference with applications to the binomial and linear/nonlinear regression modelsIntroduction to risk assessment including sources of risk and risk acceptance criteriaDecision making under uncertainty including system representation, decision trees and optimization YOn successful completion of this course, students will be able to:1Recognize the key concepts of probability and Bayesian inference.2Formulate and solve problems dealing with probability and statistics in civil and environmental engineering applications.3Develop practical skills in Monte Carlo simulation.4Apply principles of making decisions under uncertainty.5Apply risk management principles. You cannot enrol in this course if you are active in one of the Engineering program codes of 10478, 12282, 12288, 12289, 12290, 12298, 12299 or 40005.Written Assignment: Written Assignment 1Written Assignment: Written Assignment 2Written Assignment: Written Assignment 3Written Assignment: Written Assignment 4Formal Examination: Formal Examination BCA Singapore and CallaghanLectureFace to Face On Campus4hour(s)per Week for0Full Term1TutorialFace to Face On Campus2hour(s)per Week for0Full Term2


Assessment items

Written Assignment: Written Assignment 1

Written Assignment: Written Assignment 2

Written Assignment: Written Assignment 3

Written Assignment: Written Assignment 4

Formal Examination: Formal Examination


Contact hours

BCA Singapore and Callaghan

Lecture

Face to Face On Campus 4 hour(s) per Week for Full Term starting in week 1

Tutorial

Face to Face On Campus 2 hour(s) per Week for Full Term starting in week 2