On the basis of
TØL4011 Early assessment of projects
Expected learning outcomes
After completing the course, the student is supposed to
- be abel to apply thorough knowledge of uncertainty analysis, FMEA, random sampling, and modeling ofstatistical process control.
- be able to define and analyze the efficiency and the companies value chain and develop sustainable processes. -
- be able to apply various statistical distributions.
- be able to define and execute Quality and Risk Management analysis in companies
- Uncertainty analysis and measurement techniques
- FMEA, failure mode and effect analysis
- VMEA, Variation mode and effect analysis
- Random sampling
- Fault tree analysis
- Modeling of statistical process control
- 6 Sigma
- Tolerances, variations and process capabilities
- Risk assessments and analysis
Teaching Methods (additional text)
The course will be made accessible for both campus- and remote students. Every student are free to choose the pedagogic arrangement form that are 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 sums up the main issues in the lecture will also be available on internet through GUC’s learning management system (ClassFronter).
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 laboratory exercises.
Tutoring is also available on internet.
Form(s) of Assessment
Written exam, 4 hours
Form(s) of Assessment (additional text)
Written Exam, 4 hours
Alphabetical Scale, A(best) – F (fail)
2 Internal examiners
Next ordinary exam
All printed and written
Evaluation of two projects
Aikens, C. Harold: Quality Inspired Management. ISBN nr: 9780131197565.
Supplementary literature : see information in Fronter