Teaching Responsibility

LJMU Schools involved in Delivery:

Civil Engineering and Built Environment

Learning Methods

Lecture
Tutorial

Module Offerings

5202CIV-JAN-CTY

Aims

To develop knowledge and understanding of the probability theory and statistics underpinning engineering, and to apply these techniques within an engineering context. To further develop the knowledge and understanding of relevant mathematical techniques underpinning engineering, and to apply these within an engineering context.

Module Content

Outline Syllabus:Probability Discrete and continuous distributions Hypothesis testing: Mann Whitney, t-test, Chi-squared Correlation and regression. Monte Carlo method 2nd order differential equations: homogeneous and inhomogeneous Partial Differentiation Partial Differential Equations: Waves on a string
Module Overview:
This module develops your knowledge and understanding of engineering mathematics and statistics, and their limitations, for use in the analysis and solution of engineering problems. You will develop knowledge and understanding of the probability theory and statistics underpinning engineering, and apply these techniques within an engineering context. This module will help you be able to apply a range of statistical methods, tools and notations proficiently in the analysis and solution of engineering problems.
Additional Information:This module develops the student’s knowledge and understanding of engineering mathematics and statistics, and their limitations, for use in the analysis and solution of engineering problems. On Civil Engineering Degrees the knowledge learning outcomes are K2 and S3. On the Building Services Engineering Degree Apprenticeship programme, the knowledge learning outcomes are K1 and K2 and the skills learning outcomes are S1.

Assessments

Centralised Exam