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
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 helps you develop knowledge and understanding of the probability theory and statistics underpinning engineering, and to apply these techniques within an engineering context. You will further develop the knowledge and understanding of relevant mathematical techniques underpinning engineering, and apply these within an engineering context.
This module helps you develop knowledge and understanding of the probability theory and statistics underpinning engineering, and to apply these techniques within an engineering context. You will further develop the knowledge and understanding of relevant mathematical techniques underpinning engineering, and 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.
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.