Study Guide

Objective

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Content

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Materials

Material to be distributed at lectures

Completion alternatives

Exam

Student workload

Lectures 36 h
Practical work 25 h
Independent work 15 h
Lecture and feedback 5 h

Evaluation scale

H-5

Assessment methods and criteria

Assessment is based on the final exam.

Assessment criteria, fail (0)

The student does not know how to use key/individual concepts of statistical mathematics.

Assessment criteria, satisfactory (1-2)

Students will be able to use key/individual concepts in statistical mathematics and demonstrate a basic knowledge of the domain.
The student can act appropriately when solving simple problems in statistical mathematics, although the action may be fumbling. The student will be able to follow instructions and solve basic problems in statistical mathematics.

Assessment criteria, good (3-4)

Students will be able to consistently use the concepts of statistical mathematics and demonstrate mastery of the basic knowledge of the domain.
Students will be able to select appropriate ways of modelling simple economic problems. They can solve basic problems in statistical mathematics and can assess their own competence. Students can apply their knowledge in basic tasks.

Assessment criteria, excellent (5)

Students can use statistical terms and concepts in a competent way and combine them into coherent entities.
Students will be able to model simple statistical problems, solve them and evaluate the correctness of the solutions. Students will be able to apply their knowledge of statistical mathematics to a variety of tasks and situations.