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SF1918 Probability Theory and Statistics 6.0 credits

The overall purpose of the course is that the student should be well acquainted with basic concepts, theory, models and solution methods in probability theory and statistical inference.

Information per course offering

Termin

Information for Autumn 2024 Start 28 Oct 2024 programme students

Course location

KTH Campus

Duration
28 Oct 2024 - 13 Jan 2025
Periods
P2 (6.0 hp)
Pace of study

33%

Application code

51364

Form of study

Normal Daytime

Language of instruction

Swedish

Course memo
Course memo is not published
Number of places

Places are not limited

Target group

Only CINEK åk2, CTMAT åk 1

Planned modular schedule
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Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted
Contact

Joakim Andén-Pantera (janden@kth.se)

Course syllabus as PDF

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

Course syllabus SF1918 (Autumn 2020–)
Headings with content from the Course syllabus SF1918 (Autumn 2020–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Basic concepts such as probability, conditional probability and independent events. Discrete and continuous random variables, in particular one dimensional random variables. Measures of central tendency, dispersion and dependence of random variables and data sets. Common distributions and models, such as the normal, binomial and Poisson distributions. The Central limit theorem and the Law of large numbers.

Descriptive statistics. Point estimates and general methods of estimation, such as maximum likelihood estimation and the method of least squares. Basic decision theory and Bayesian inference. Confidence intervals. Statistical hypothesis testing. Linear regression.

Intended learning outcomes

To pass the course, the student should be able to

  • solve problems that require knowledge about standard concepts and methods in probability theory
  • solve problems that require knowledge about standard concepts and methods in statistics

Literature and preparations

Specific prerequisites

Completed course SF1625 Calculus in one variable.

Recommended prerequisites

SF1626 Calculus in Several Variable, SF1624 Algebra and Geometry.

Equipment

No information inserted

Literature

No information inserted

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, 6.0 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

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

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

Add-on studies

No information inserted

Contact

Joakim Andén-Pantera (janden@kth.se)

Supplementary information

For students enrolled in the Degree Programme in Industrial Engineering and Management (CINEK) and Degree Programme in Engineering Mathematics (CTMAT)