Probability and Statistics

5 credits

Syllabus, Bachelor's level, 1MS005

A revised version of the syllabus is available.
Code
1MS005
Education cycle
First cycle
Main field(s) of study and in-depth level
Mathematics G1F
Grading system
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 6 May 2013
Responsible department
Department of Mathematics

Entry requirements

Single Variable Calculus or Derivatives and Integrals.

Learning outcomes

In order to pass the course (grade 3) the student should

Content

The probability concept. Independence, conditional probability. Random variables. Common probability distributions. Expected value, variance. The law of large numbers. The central limit theorem. Applied probability problems. Statistical investigations. Descriptive statistics. Point and interval estimation. Regression analysis.

Instruction

Lectures and problem solving sessions.

Assessment

Written examination at the end of the course combined with assignments given during the course.

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