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.
Reading list
- Reading list valid from Autumn 2024
- Reading list valid from Autumn 2022
- Reading list valid from Spring 2022
- Reading list valid from Autumn 2021
- Reading list valid from Autumn 2019
- Reading list valid from Spring 2018
- Reading list valid from Spring 2013
- Reading list valid from Autumn 2009
- Reading list valid from Autumn 2007, version 2
- Reading list valid from Autumn 2007, version 1