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Content and learning outcomes
Concept/tools as well as non-statistic and statistical improvement methods used in deviation management and improvement work in industry.
Intended learning outcomes
On completion of the course the student should be able to:
• account for how continuous improvement and design of experiments in industrial maintenance is carried out
• systematically address problem solving in technical applications
• explain methods and philosophies in continuous improvements as well as compare the applicability of those
• plan for and use relevant approaches, working methods and tools in industrial continuous improvement
Literature and preparations
Completed module SEM1 in ML1618 and completed course ML1604 and ML1605
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- SEMA - Seminar assignments, 1.5 credits, grading scale: P, F
- TENA - Written examination, 1.5 credits, grading scale: A, B, C, D, E, FX, F
- ÖVNA - Assignments, 3.0 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.Course web ML1609