Teaching Responsibility
LJMU Schools involved in Delivery:
Civil Engineering and Built Environment
Learning Methods
Lecture
Tutorial
Module Offerings
5338BEUG-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.
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 wave theory and basic mass and string models 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.
Monte Carlo method
2nd order differential equations: homogeneous and inhomogeneous
Partial Differentiation
Partial Differential Equations: Waves on a string
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.