EPN-V2

MEK2200 Statistics and Risk Management Course description

Course name in Norwegian
Statistikk og risikoanalyse
Weight
10.0 ECTS
Year of study
2024/2025
Course history
Curriculum
SPRING 2025
Schedule
  • Introduction

    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.

  • Required preliminary courses

    Admission requirements.

  • Learning outcomes

    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
  • Teaching and learning methods

    Gjennom dette emnet vil studenten tilegne seg grunnleggende kunnskap i kjemi og miljø. Studenten vil tilegne seg innsikt i de ressursutfordringene samfunnet står overfor og hvordan disse kan løses. Studentene vil også kunne se en tydelig sammenheng mellom miljøvurderinger og kjemi.

  • Course requirements

    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.
  • Assessment

    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

    • describing the structure of atoms and molecules
    • explain the periodic table
    • understanding chemical equations and stoichiometry
    • explaining the physical properties of gases
    • explaining chemical bonding and the molecular structure of solids (metals, semiconductors, polymers, crystalline substances)
    • defining the first, second and third laws of thermodynamics
    • defining energy concepts, internal energy, enthalpy, entropy and Gibb’s energy
    • understanding chemical equilibria (gas equilibria, precipitation reactions, acid-base equilibria)
    • describing electrochemistry (galvanic cells, corrosion, batteries and electrolytic cells)
    • describing environmental aspects (use of resources, emissions, waste etc.)
    • describing life-cycle assessments (LCA) and environmental labelling (EPD, ECO products)
    • describing standards for environmental work

    Skills

    The student is capable of

    • perform simple chemical calculations in stoichiometry
    • perform calculations using the equation of state for ideal gases
    • perform energy calculations with internal energy, enthalpy, Gibb’s energy
    • performing simple calculations of reactants and products present in chemical equilibrium
    • performing simple electrochemical calculations, such as calculations of cell potentials
    • anticipate unfortunate interconnections that lead to corrosion
    • describe environmental aspects
    • apply LCA considerations to a given product

    General competence

    The student is capable of

    • communicating with chemists on topics relating to chemistry and environment
    • searching for and understand specialist literature on the subject
  • Permitted exam materials and equipment

    Lectures, teacher-led exercises and exercises out with the help of student assistants. Some of the lectures will be guest lectures on environmental topics.

  • Grading scale

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

    • 7 of 10 electronic tests , time consume is stipulated to one hour pr test

    The purpose of the required coursework is to give students a basis for the written exam.

  • Examiners

    Individual written school exam under supervision in 3 hours, counts 100 %

    Examresults can be appealed

  • Overlapping courses

    All written and printed aids are allowed.

    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.