Probability and Statistics

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Mathematics

Synopsis:

The goal is to get a basic knowledge in probability and inferential statistics.

Probability. Discrete and continuous random variables. Normal distribution. Asymptotic distribution of a mean. Multivariate distribution. Independence and correlation. Parameter estimation. Hypothesis testing. Simple linear regression.

Requirements:

Basic calculus. (Derivation and integration).

Syllabus of lectures:

Probability. Discrete and continuous random variables. Normal distribution. Asymptotic distribution of a mean. Multivariate distribution. Independence and correlation. Parameter estimation. Hypothesis testing. Simple linear regression.

Syllabus of tutorials:

Excercises follow the lectures. Excel is used to solve the problems.

Study Objective:

The goal is to get a basic knowledge in probability and inferential statistics.

Study materials:

!Jay L. Devore: Probability and statistics for engineering and the sciences. Duxbury, ISBN-13:978-0-538-73352-6

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Civil Engineering (compulsory elective course)
• Civil Engineering (compulsory elective course)