know the basic concepts in statistics and probability theory and the relation between these
solve simple combinatorial problems
use probability distributions for everyday probability problems and know when to apply the different distributions
use the most common probability distributions and their properties, as well as the central limit theorem, to analyze random samples and testing hypotheses
determine whether there is a correlation between two variables and describe this relationship using linear regression
Basic concepts in statistic, probability theory, probability distributions, moment generating functions, random variables, expected values, variance, conditional probability, joint probability distribution, central limit theorem, stochastic processes in discrete and continuous time, point estimation and confidence intervals, tests of hypotheses, interference based on two samples, linear regression, applications
Lectures, work in small groups and compulsory assignemets. The course has an expected workload of around 400 hours.
Required assignments must be passed, see Canvas for more information.
Assessment methods and criteria
6-hour written examination. Graded assessment.
The study programme manager, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.