Course Description

Module 2 provides an introduction to statistics and probability calculations based on the topics:
Basic statistical concepts such as probability, variance and standard deviation - analysis of data using charts and graphs - the interpretation and implications of the concept of probability - probability models, and application of such models in model building and problem solving - combinatorial selection methods and principles - the interpretation and application of stochastic variables - the normal probability distributions: binomial, hypergeometric, normal and Poisson - the main principles of hypothesis testing and application to practical problems - the basic theory of correlation and regression.
Students will complete subject didactics work, where the theme will be the use of ICT in mathematics teaching. Students will become familiar with the Knowledge Promotion curriculum’s requirements concerning the use of ICT in mathematics teaching, and reflect on how Knowledge Promotion competence aims may be achieved. They must inform themselves about what is available on the Internet, and they will gain insight into the use of standard applications for mathematics.

Assessment Methods

The grade in Mathematics 2 is calculated on the basis of the grades for the two 5-hour written examinations, one grade for each of the two modules, and the subject-didactics work. In calculating the final grade, the written examinations count for 80% and the subject-didactics work counts 20%.
All components must receive passing marks before the final grade may be awarded.
Letter grades from A to F will be awarded, where A is the highest grade, and E is the lowest passing grade. F is a failing grade.

Minor adjustments may occur during the academic year, subject to the decision of the Dean