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ML1113 Business Control with Applied Statistics 10.0 credits

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus ML1113 (Spring 2018–)
Headings with content from the Course syllabus ML1113 (Spring 2018–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Principles of quality management and how they are related to Lean Production
  • Tools for standardised working methods
  • Methods for improvement work
  • Description and use of a management system for quality
  • The role of statistics in improvement work
  • Basic mathematical statistics
  • The statistics as a visualisation tool
  • The statistics role for an understanding of the development of the activities
  • Value stream analysis
  • Visualisation
  • Principles of Lean Production

Intended learning outcomes

After passing the course, the student should be able to:

  • Explain purpose and aim for quality assurance procedures
  • Administrate a quality management system
  • Account for principles of implementation of new working methods
  • Describe and apply the presented tools for improvement work stable processes and standardised working methods
  • Identify, describe, visualise and analyse a value stream
  • Explain how quality assurance and Lean Production interact to reach customer satisfaction
  • Describe the most common statistical functions
  • Explain the implication in the basic statistical concepts
  • Carry out linear regression
  • Explain the role of statistics in improvement work and control of the activities
  • Use computerised tools for the statistical analysis
  • Calculate probabilities by means of the classical probability definition and probability distributions
  • Calculate or estimate expected value and variance from collected data, and interpret the results.
  • Assess when different probability distributions are appropriate to use at calculations

Literature and preparations

Specific prerequisites

No information inserted

Literature

  • Dan Jonsson och Lennart Norell, Ett stycke statistik, Studentlitteratur, 3:e upplagan (2007)
  • The LeanToolbox – alternativt – Ny verktygslåda för Lean

Examination and completion

Grading scale

A, B, C, D, E, FX, F

Examination

  • INL1 - Assignment, 1.0 credits, grading scale: P, F
  • ÖVN1 - Exercises, 1.0 credits, grading scale: P, F
  • TEN2 - Written examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F
  • TEN1 - Written examination, 3.5 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.

If the course is discontinued, students may request to be examined during the following two academic years.

Other requirements for final grade

Passed examinations
Passed exercises
Passed written assignments

Examiner

No information inserted

Ethical approach

  • 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

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Technology

Education cycle

First cycle