Courses Catalogue

Engineering Probability And Statistics

COURSE CODE: MAT1204
COURSE CREDIT UNIT: 3
ACADEMIC PROGRAMME: Civil Engineering, Bsc
COLLEGE/SCHOOL/FACULTY: School of Engineering and Applied Sciences
STATUS: Core
PROGRAMME TYPE: Undergraduate

Course Description

COURSE DESCRIPTION

This course is introduces a student to the fields of Probability and Statistics designed for engineering fields. Probability Theory is of great use in all branches of Engineering in understanding and modeling phenomena that exhibit random behavior. Probability Theory also provides the theoretical and mathematical basis for statistics. The field of Statistics pertains to the presentation, analysis and interpretation of data. Engineers will be faced with the need to analyze data on a daily basis in the real world, and thus a good grounding in the basics of statistics is invaluable. Statistics is inherently inductive since inference is made about a whole population on the basis of information/data obtained from a sample from the population. Unlike Statistics, Probability theory is inherently deductive, and has nothing to do with sample data. Rather it is a field of mathematics from which results and conclusions are derived from propositions and assumptions.

 

LEARNING OBJECTIVES

By the end of this course, the student should be able to:

·         Acquire knowledge on the measures of central tendency

·         Understand the concept of a random event and a random experiment;

·         Understand simple regression and correlation analysis

·         Understand statistical inferences and hypothesis testing

 

LEARNING OUTCOMES

A student on completing this course is expected to:

§  Analyze samples and present them in tabular or graphical forms.

§  Describe events that occur with certainty and un-certainty.

§  Use inferential statistics to analyze data.

§  Apply regression techniques in engineering problems