Advanced Statistical Methods, 6 credits

Avancerad statistik, 6 hp

769A26

Main field of study

Cognitive Science

Course level

Second cycle

Course type

Programme course

Examiner

Erik Marsja

Course coordinator

Erik Marsja, Emil Holmer

Director of studies or equivalent

Josefine Andin
Possible deviation from course syllabus/programme syllabus
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Weeks Timetable module Language Campus ECV
F7MKT Master Programme in Cognitive Science 2 (Spring 2023) 202313-202322 4 Swedish Linköping, Valla E

Main field of study

Cognitive Science

Course level

Second cycle

Advancement level

A1N

Course offered for

  • Master Programme in Cognitive Science

Entry requirements

  • Bachelor’s Degree in Cognitive Science equivalent to a Swedish Kandidatexamen
    or 
  • Bachelor’s Degree in Computer Science equivalent to a Swedish Kandidatexamen
  • 6 ECTS credits passed in Programming
  • 30 ECTS credits passed in Psychology with at least 6 ECTS credits in Cognitive Psychology or Cognitive Neuroscience and at least 6 ECTS credits in Research methods
    or
  • Bachelor’s Degree in Psychology or in Cognitive Psychology equivalent to a Swedish Kandidatexamen
  • 6 ECTS credits passed in Research methods
  • 30 ECTS credits passed in Computer Science with at least 6 ECTS credits in Programming
    and
  • English and Swedish corresponding to the level of English and Swedish in Swedish upper secondary education (Engelska 6 and Svenska 3)

Grades

Three-grade scale, U, G, VG

Department

Institutionen för beteendevetenskap och lärande
Code Name Scope Grading scale
UPG1 Individual written assignment 2 credits U, G
UPG2 Individual written assignment 4 credits U, G, VG
Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)
There is no course literature available for this course in studieinfo.

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Name File name Description
769A26 - course handbook 2023 769A26 - course handbook 2023.docx