Syllabus for Probability and Statistics

Sannolikhet och statistik


  • 5 credits
  • Course code: 1MS005
  • Education cycle: First cycle
  • Main field(s) of study and in-depth level: Mathematics G1F
  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2007-03-19
  • Established by:
  • Revised: 2018-08-30
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: week 30, 2019
  • Entry requirements: Single Variable Calculus or Derivatives and Integrals.
  • Responsible department: Department of Mathematics

Learning outcomes

On completion of the course, the student should be able to:



The probability concept. Independence, conditional probability. Random variables. Common probability distributions. Expected value, variance. The law of large numbers. The central limit theorem. Applied probability problems. Statistical investigations. Descriptive statistics. Point and interval estimation. Regression analysis.


Lectures and problem solving sessions.


Written examination at the end of the course combined with assignments given during the course. 
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Reading list

Reading list

Applies from: week 30, 2019

  • Rydén, Jesper Stokastik för ingenjörer

    2., utök. uppl.: Lund: Studentlitteratur, 2015

    Find in the library