EPN-V2

PSYK1610 Organization, Society and Work life Course description

Course name in Norwegian
Organisasjon, samfunn og arbeidsliv
Study programme
Bachelor's Programme in Psychology with an Emphasis on Behavior Analysis
Weight
5.0 ECTS
Year of study
2023/2024
Curriculum
SPRING 2024
Schedule
Course history

Introduction

Hensikten med emnet er at studenten skal kunne tilegne seg nødvendige kunnskaper i matematikk for å møte kunnskapsområdet i utdanningen og å tilegne seg nødvendige skriftlige og muntlige ferdigheter.

Required preliminary courses

Admission to the programme.

Learning outcomes

On successful completion of the course, the student should have the following learning outcomes defined in terms of knowledge, skills and general competence.

Knowledge

The student:

  • Knows how the field of artificial intelligence developed historically
  • Is familiar with the main artificial intelligence theories and has a practical understanding of the development and use of artificial intelligence
  • Can reflect on the practical, social and ethical implications of the development of artificial intelligence
  • Has an understanding of the current application areas of artificial intelligence

Skills

The student:

  • Has the theoretical and practical skills to build simple artificial intelligence systems
  • Can use a variety of state-of-the-art artificial intelligence techniques in different application domains
  • Can evaluate the technical quality and practical value of various types of artificial intelligence

Competence

The student:

  • Has both theoretical and practical understanding of artificial intelligence methods
  • Can discuss the relevance, strengths and limitations of artificial intelligence methods
  • Is able to solve real-life problems using artificial intelligence methods

Teaching and learning methods

Arbeidskrav 1: Observasjon og refleksjon over matematikk i en lek og/eller i en hverdagssituasjon, omfang omlag 700 ord

Arbeidskrav 2: Utforming av plan for en matematisk aktivitet bygd på arbeidskrav 1, omfang omlag 700 ord.

Arbeidskrav 3: Digital flervalgsoppgave med tidsbegrensning som avlegges via læringsplattformen

Krav til deltakelse

Det er krav om 80 % frammøte til undervisning og veiledning

Course requirements

Muntlig presentasjon i grupper (2 - 3 studenter) ut fra oppgitt matematisk case, omfang 20 minutter.

Prøven avholdes i vårsemesteret.

Assessment

  1. 30% of the grade based on the academic report (in groups of 2-4 students, 5-10 pages written report with link to code e.g. on github).
  2. 70% of the grade based on individual written examination (3 hours).

Both exams must be passed in order to pass the course.

The exam result can be appealed.

Permitted exam materials and equipment

Bestått/ikke bestått

Grading scale

Intern sensor

Examiners

  • Småbarns matematikkforståelse
  • Matematikk i lek og hverdagssituasjoner
  • Dokumentasjon av barnas matematikk