HM201V Practical Statistics 7.5 credits

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

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.

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).

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

• ÖVN1 - Group Tasks, 4.5 credits, grading scale: P, F
• TEN1 - Examination, 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.

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

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

• 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.