MEK2200 Statistics and Risk Management Course description

The course includes training in statistical methods used for the processing of measurement data, handling sources of error, calculating probability and estimating measurement uncertainty. Furthermore, an introduction will be provided into regression analysis and methods for calibration and quantification, hypothesis testing and variance analysis. Emphasis will be placed on showing the application of statistical theory through examples and statistical problems. The course also includes definitions and discussions of basic concepts in risk management. The course gives the students basic knowledge and an understanding of quality control and quality assurance through, amongst other things, the application of knowledge acquired in statistics and risk management.

Admission requirements.

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:

• probability, probability calculation and probability distribution
• basic statistical processing of measurement data
• confidence and significance, confidence intervals and hypothesis testing, variance analysis
• errors and uncertainty, error accumulation and uncertainty estimates
• calibration and calibration curves
• what a risk assessment is, how a risk assessment is conducted, common methods used and how risk assessment is used in risk management
• quality control and quality assessment principles

Skills

The student is capable of:

• assessing uncertainty and sources of error in measurement results
• using statistical methods to interpret and quality check measurement results
• performing risk assessments of various problems and interpreting and presenting the results of the analysis as a contribution to decisions concerning risk and quality

General competence

The student:

• has basic insight into quality assessments and requirements
• has knowledge of how accuracy and precision in measurement results are affected by sources of error and uncertainty in instrumentation, procedures and work techniques
• has insight into statistical methods for the processing and interpretation of measurement data
• has a basic understanding of ethical issues relating to risk assessment, the use of risk acceptance criteria and how risk assessments can be used and abused

The teaching will mainly consist of lectures and exercises.

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

• Two individual written assignments (1-10 pages each), which correspond to a total of approximately 15 hours of work.
• One project assignment in groups, 1-5 students per group, which corresponds to approximately 10 hours of work per student.

Individual written exam under supervision, 3 hours

The exam result can be appealed.

In the event of a resit or rescheduled exam, oral examination may be used instead of written. If oral exams are used for resit and rescheduled exams, the exam result cannot be appealed.

A handheld calculator that cannot be used for wireless communication or to perform symbolic calculations. If the calculator's internal memory can store data, the memory must be deleted before the exam. Random checks may be carried out.

Grade scale A-F.

One examiner. The course may be selected for grading by external examiners.

The course has an overlap of 10 credits with KJFP2200 and MATS2200.

The course has an overlap of 5 credits with KJTF2311, KJTF2310, ELTS2000 and DAPE2000.

Under the rule that students have three attempts to take an exam, attempts in equivalent courses also count.