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.
- Semester 1 - 2020
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.
- 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
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.
Course content covered in ENGG1002 Introduction to Engineering Computations (previously GENG1002), and content covered in MATH1120 Mathematics for Engineering, Science and Technology 2.
Written Assignment: Written Assignment 1
Written Assignment: Written Assignment 2
Written Assignment: Written Assignment 3
Written Assignment: Written Assignment 4
Formal Examination: Formal Examination
Face to Face On Campus 4 hour(s) per Week for Full Term starting in week 1
Face to Face On Campus 2 hour(s) per Week for Full Term starting in week 2