Machine Learning for Statisticians, 7.5 credits

Maskininlärning för statistiker, 7.5 hp

732G57

Main field of study

Statistics

Course level

First cycle

Course type

Programme course

Examiner

Josef Wilzén

Course coordinator

Josef Wilzén

Director of studies or equivalent

Jolanta Pielaszkiewicz
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Weeks Language Campus ECV
Single subject course (Half-time, Day-time) Autumn 2025 202534-202543 Swedish Linköping, Valla
F7KSA Bachelor´s Programme in Statistics and Data Analysis 5 (Autumn 2025) 202534-202543 Swedish Linköping, Valla E

Main field of study

Statistics

Course level

First cycle

Advancement level

G2F

Course offered for

  • Bachelor´s Programme in Statistics and Data Analysis

Entry requirements

  • General entry requirements for undergraduate studies
    and
    Social Studies, English and Mathematics corresponding to the level in Swedish upper secondary education (Samhällskunskap 1b or 1a1 and 1a2, Engelska 6, Matematik 3b or 3c)
  • 60 ECTS credits passed from semester 1 and 2 and at least 30 ECTS credits passed from semester 3 and 4 Bachelor´s Programme in Statistics and Data Analysis

Examination

If special circumstances prevail, and if it is possible with consideration of the nature of the compulsory component, the examiner may decide to replace the compulsory component with another equivalent component.

If the LiU coordinator for students with disabilities has granted a student the right to an adapted examination for a written examination in an examination hall, the student has the right to it.

If the coordinator has recommended for the student an adapted examination or alternative form of examination, the examiner may grant this if the examiner assesses that it is possible, based on consideration of the course objectives.

An examiner may also decide that an adapted examination or alternative form of examination if the examiner assessed that special circumstances prevail, and the examiner assesses that it is possible while maintaining the objectives of the course.

Students failing an exam covering either the entire course or part of the course twice are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.

Grades

Three-grade scale, U, G, VG

Other information

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. 

The course is conducted in such a way that there are equal opportunities with regard to sex, transgender identity or expression, ethnicity, religion or other belief, disability, sexual orientation and age.

If special circumstances prevail, the vice-chancellor may in a special decision specify the preconditions for temporary deviations from this course syllabus, and delegate the right to take such decisions.

 

About teaching and examination language

The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

  • If teaching language is “Swedish”, the course as a whole could be given in Swedish, or partly, or as a whole, in English. Examination language is Swedish, but parts of the examination can be in English.
  • If teaching language is “English”, the course as a whole is taught in English. Examination language is English.
  • If teaching language is “Swedish/English”, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English depending on teaching language.

Department

Institutionen för datavetenskap
Code Name Scope Grading scale
UPG1 Assignment 1.5 credits U, G
UPG2 Assignment 1 credits U, G
DAT1 Examination 5 credits U, G, VG
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