Probability Theory I

Probability Theory I is only given in Swedish, and more information can be found on the Swedish version of this page.

Randomness is a concept which is used daily for ''unpredictable'' phenomena. The point of this course is to make the student familiar with some of the most used mathematical concepts, models and analytical tools which are used to mathematically describe daily concepts such as 'random', 'uncertainty', 'spread', 'commonness' and more. The contents of the course are a necessary base for studies in statistics and further studies in probability theory. Theoretical evaluations of the lectures are mixed with practical problem solving at exercices and computer labs.

Course contents: Sample space and events. Probability axioms. Conditional probability. Independence. Random variables in one or more dimensions and their distributions. Functions of random variables. Expected value and variance. The Law of Large Numbers. The Central Limit Theorem.







The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.


Note that the course literature can be changed up to two months before the start of the course.


Course reports are displayed for the three most recent course instances.









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