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Before choosing courseHM201V Practical Statistics 7.5 creditsAdministrate About course
Course offering missing for current semester as well as for previous and coming semesters
* Retrieved from Course syllabus HM201V (Autumn 2007–)

Content and learning outcomes

Course contents

Statistical instruments for stratification, analysis and to draw conclusions from non complete data. Learn the Monte Carlo simulation basics and solving every day complex problems with this method

Intended learning outcomes

To let the students learn about statistical metods for root cause analysis and to learn the Monte Carlo Statistical techniques for predictions and calculations when data are uncertain. Knowing how to plan under uncertainty is a key expression.

Course Disposition

Either the students can obtain the program @RISK and do most of the assignments and problem solving in groups outside the university. Or they can come to the computer training sessions at Campus Telge for the same work.

Literature and preparations

Specific prerequisites

For "free movers" applying to single courses:

Completed upper secondary schooling incl documented proficiency in English and university studies of at least 2 years (corresponding to 120 hp/80 p).

Recommended prerequisites

No information inserted

Equipment

Need to computer with access to the world wide web since Bilda, the communication instrument of KTH will be used.

Literature

Risk Analysis - a quantitative guide David Vose, Wiley, 2003 Student version of @RISK (purchase will be arranged when the course starts for those interested)

Examination and completion

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

Grading scale

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

Examination

  • TEN1 - Examination, 3,0 hp, betygsskala: A, B, C, D, E, FX, F
  • ÖVN1 - Group Tasks, 4,5 hp, betygsskala: P, 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.

The assignments in the Monte Carlo part of the course must be solved, submitted and approved. Written examination either by solving a larger statistical problem using Monte Carlo or by taking an ordinary written examination

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

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 web

No information inserted

Offered by

ITM/Sustainable Production Development

Main field of study

Mathematics

Education cycle

Second cycle

Add-on studies

No information inserted

Supplementary information

Literature will be changed