ME1316 Quantitative Business and Operations Analytics 6.0 credits

Kvantitativ affärs- och verksamhetsanalys

Show course information based on the chosen semester and course offering:

Offering and execution

No offering selected

Select the semester and course offering above to get information from the correct course syllabus and course offering.

Course information

Content and learning outcomes

Course contents *

This course intends to give the students an understanding of how quantitative analyses can be used in business. In an increasingly digitalised world is predicted that the importance of these skills will increase. The course focuses on the application of statistical methods to carry out business and operations analyses based on large datasets. The course consists of two parts. Firstly, the students' ability to analyse and present data in an industrial context is be developed. Secondly,  the students' ability to review critically, both their own analyses and those of others,  through discussions of limitations and assumptions, both in methods and in data.

The course is assessed through attendance in seminars, group project where the students ??? and an individual examination.

Intended learning outcomes *

To provide the course participants applied knowledge of quantitative data analysis in different types of industrial activities. The aim is that the course participants should be prepared on completion of the course to both carry out analyses completed by others, interpret the results of these analyses and to review analyses critically. After passing the course, the students should be able to:

  1. Give an account of the importance of quantitative analyses in business.
  2. Apply quantitative analytical methods on operational data such as production data, customer data and product data. Basic descriptive and prescriptive analysis is required to pass. For higher grade, demonstrated ability to process data systematically and carry out statistical analyses is required adapted to the issue.
  3. Interpret result of statistical analysis in an business context. For higher grade, good demonstrated ability to understand the result of the analysis in the specific activities that is studied is required.
  4. Give an account of assumptions and limitations in a completed analysis. This includes both analysis of data quality and the assumptions and limitations of the methods.

Course Disposition

See the course syllabus.

Literature and preparations

Specific prerequisites *

ME1314/ME1305 Introduction to Industrial Engineering and Management, or the equivalent and 45 credits in CINEK programme .

Participated in the teaching of SF1901 or the equivalent; final results need not be reported

Recommended prerequisites

None in addition to the specific prerequisites.

Equipment

None

Literature

Course literature will be announced at the start of the course.

Examination and completion

Grading scale *

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

Examination *

  • INL1 - Assignment, 3.0 credits, Grading scale: A, B, C, D, E, FX, F
  • SEM1 - Seminar assignment, 1.0 credits, Grading scale: P, F
  • TEN1 - Exam, 2.0 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

See the course syllabus.

Opportunity to raise an approved grade via renewed examination

Decided by the examiner.

Examiner

Andreas Feldmann

Further information

Course web

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 ME1316

Offered by

ITM/Industrial Economics and Management

Main field of study *

Technology

Education cycle *

First cycle

Add-on studies

See the course and program directory.

Contact

Caroline Ingvarsson caroline.ingvarsson@indek.kth.se

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.

Supplementary information

Only open for students admitted to CINEK.

Not open for exchange students