The University of Newcastle, Australia
Available in 2020

Course handbook

Description

The aim of this course is to introduce the principles of engineering computations and probability and statistics. Its purpose is to provide foundation material for later year courses in water, structural and geotechnical engineering.

CIVL2050 will only be available to students who commenced in the pre-2017 teach-out programs. It will be offered in a modified arrangement as it is being phased out. Material will be delivered through CIVL2040 and CIVL2060. Contact hour details will be available on enrolment. If you have further questions about your enrolment please contact the Course Coordinator or your Program Advisor (ProgramAdvice@newcastle.edu.au).


Availability2020 Course Timetables

Callaghan

  • Semester 1 - 2020

Learning outcomes

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

1. Apply basic numerical algorithms for computing solutions of single nonlinear equations and systems of linear equations.

2. Utilise algorithms for interpolation, curve fitting, numerical differentiation and numerical integration.

3. Apply numerical methods for solving ordinary differential equations, and elliptic and parabolic partial differential equations

4. Apply Bayesian inference in civil and environmental engineering applications.

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

6. Develop practical skill in Monte Carlo simulation


Content

The content of the course includes:

1. The numerical solution of a single nonlinear equation, systems of linear equations, ordinary differential equations, and partial differential equations.

2. The numerical implementation of interpolation and curve fitting.

3. An introduction to probability and distribution theory targeted to civil and environmental engineering applications.

4. Monte Carlo simulation: theory and practice.

5. Introduction to Bayesian statistical inference with applications to the binomial and linear regression models.

However, some additional topics will also be included, as described by the combined list of topics provided in the course outlines of both CIVL2040 and CIVL2060.


Requisite

To enrol in this course you must be active in one of the following Engineering programs: 12282, 12288, 12289, 12290, 12298, 12299 or 40005 or 10478.


Assumed knowledge

Content covered in course ENGG1002 Introduction to Engineering Computations (previously GENG1002), and content covered in course MATH1120 Mathematics for Engineering, Science and Technology 2.


Assessment items

Written Assignment: Assignments


Contact hours

Callaghan

Lecture

Face to Face On Campus 1 hour(s) per Week for Full Term

As a maximum, your contact hours for CIVL2050 are the combined contact hours for CIVL2040 and CIVL2050. They will appear as sessions for CIVL2050 at the time of your enrolment.