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ML1604 Applied Statistics, Basic Course 6.0 credits

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Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

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

Course syllabus ML1604 (Autumn 2024–)
Headings with content from the Course syllabus ML1604 (Autumn 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Basic probability theory, including

•    basic theorems and definitions
•    common probability distributions
•    concepts within reliability

Basic statistics, including

•    descriptive statistics
•    point and interval estimation
•    hypothesis testing
•    regression analysis

Intended learning outcomes

After completed course, the students should be able to:

•    choose and use methods, as well as understand concepts from the different areas of the course, to solve both theoretical and applied problems in statistics and probability theory
•    follow and conduct mathematical reasoning to solve and present solutions in a structured manner, with correct mathematical language

Literature and preparations

Specific prerequisites

No information inserted

Equipment

No information inserted

Literature

Meddelas vid kursens start.

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 - Written 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

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Examiner

Profile picture Monica Kemvall

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

ITM/Production Engineering Södertälje

Main field of study

Technology

Education cycle

First cycle

Add-on studies

No information inserted