Teaching Responsibility

LJMU Schools involved in Delivery:

LJMU Partner Taught

Learning Methods

Lecture

Tutorial

Module Offerings

5600ICBTCE-MAR-PAR

5600ICBTCE-SEP-PAR

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.

Learning Outcomes

1.
Demonstrate knowledge and understanding of probability and apply the theory proficiently and critically to the solution of engineering problems
2.
Apply a range of statistical methods, tools and notations proficiently in the analysis and solution of engineering problems
3.
Apply damped mass and spring models and the 1-dimensional wave equation proficiently in the analysis and solution of engineering problems

Module Content

Outline Syllabus:
Probability Discrete and continuous distributions Hypothesis testing: Mann Whitney, t-test, Chi-squared Correlation and regression.  The Monte Carlo method Inhomogeneous 2nd order differential equation Partial Differentiation The 1-dimensional wave equation. Linear correlation and regression. 1st order differential equations and application.
Module Overview:
This module will help develop student's knowledge and understanding of the probability theory and statistics underpinning engineering, and will demonstrate how to apply these techniques within an engineering context. It will further develop knowledge and understanding of relevant mathematical techniques underpinning engineering, and how to apply these within an engineering context.
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.

Assessments

Exam