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.

Undervisningsspråk: Norsk

Emnet omfatter klinisk ernæring i helsetjenesten. Studenten lærer hvordan man kan ta kostanamnese og sette sammen en god kostholdsplan for ulike bruker og pasientgrupper. I denne sammenheng blir ulike typer spesialkost og næringstilskudd diskutert. Studenten får også innføring i regler og lovverk rundt praktisk ernæringsarbeid, inkludert ulike faggruppers rolle innen dette arbeidet

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, exercises and laboratory assignments.

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

• Five individual written assignments, number of pages: 10-100
• Two project assignment in groups, 2-6 students per group

For å fremstille seg til eksamen må følgende være godkjent:

• Sette sammen et kosthold til selvvalgt gruppe - omfang 1000 ord ( +/- 10%)

Alle hjelpemidler er tillatt så lenge regler for kildehenvisning følges.

Gradert skala A-F.

Hver besvarelse vurderes av en sensor.

Ekstern sensor benyttes regelmessig, og minimum ved hver tredje gjennomføring av emnet. Ved uttrekk av besvarelser til ekstern sensur skal uttrekket omfatte minimum 10 % av besvarelsene, men uansett ikke færre enn 5 besvarelser. Ved uttrekk skal ekstern sensors vurdering komme alle studentene til gode.

The course has an overlap of 10 credits with KJFP2200, MATS2200 and ELFE2600.

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

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