Quality and Risk Management
2013-2014 - TØL4031 - 10 ECTS

Expected learning outcomes

After completing the course, the student is supposed to

Knowledge:

be abel to apply thorough knowledge of uncertainty analysis, FMEA, random sampling, and modeling of statistical process control by writing scientific paper in a team

Skills:

be able to define and analyze the efficiency and the companies value chain and develop sustainable processes.
be able to apply various statistical distributions
scientific and technical writing

General competence:

be able to define and execute Quality and Risk Management analysis in companies
scientific writing skills

Topic(s)

Uncertainty analysis and measurement techniques
Quality in Small-to-Medium Enterprises
FMEA, failure mode and effect analysis
Random sampling
Fault tree analysis
Modeling of statistical process control

Teaching Methods

Group works
Tutoring

Teaching Methods (additional text)

 The course will be made accessible for both campus- and remote students. Every student is free to choose the pedagogic arrangement form that is best fitted for her/his own requirement.

The lectures in the course will be given on campus and are open for both categories of students. Lectures that sum up the main issues in the lecture will also be available on internet through GUC’s learning management system (Fronter).

Tutoring are given at campus in accordance to announced times. In addition there will be at least on gathering at campus for remote students with mandatory scientific writing exercises.

Tutoring is also available through internet.

Form(s) of Assessment

Other

Form(s) of Assessment (additional text)

Written scientific paper
Group scientific presentation

For off campus students the presentation will be arranged through web conference.

Grading Scale

Alphabetical Scale, A(best) – F (fail)

External/internal examiner

Internal examiner.

Re-sit examination

Next ordinary exam

Examination support

All printed and written

Teaching Materials

Library database.