FEPE2100 Statistics Course description

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student:

• is capable of explaining key concepts of set theory, probability theory, parameter estimation, hypothesis testing theory and choice of model
• is capable of explaining normal, binomial, Poisson and exponential probability distributions, as well as typical problems to which they can be applied

Skills

The student is capable of:

• applying statistical principles and concepts from his/her own professional field
• carrying out basic probability calculations and parameter estimation
• setting up confidence intervals and testing hypotheses for normally and binomially distributed data
• carrying out simple correlation/regression analyses

General competence

The student:

• uses statistical approaches to engineering problems and communicates them orally and in writing
• is capable of solving problems in engineering by using probability calculations, statistical planning of trials, data collection and analysis

Lectures and weekly exercise sessions. In the exercise sessions, the students work on assignments, both individually and in groups, under the supervision of a lecturer and/or student assistant.

The following coursework is compulsory and must be approved before the student can sit the exam:

• Individual exercises. Takes in total about 3 hours to finish.

Individual written exam under supervision. 3 hours.

The exam results can be appealed.

In the event of a new and postponed examination, oral examination form can be used.

If oral examination is used for a new and postponed examination, this cannot be appealed.

All printed and written aids. Handheld calculator with emptied internal memory without wireless communication.

Grade scale A-F.

One internal examiner. External examiners are used regularly.