EPN-V2

MALKA211 Introduction to Behavior Analysis Course description

Course name in Norwegian
Introduksjon til atferdsanalyse
Study programme
Master's Program in Behavioral Science
Master’s Program in Behavioral Science - Specialisation in Innovation and Implementation
Master’s Program in Behavioral Science - Specialisation in Concepts and Applications
Weight
10.0 ECTS
Year of study
2020/2021
Curriculum
SPRING 2021
Schedule
Course history

Introduction

Det er ingen spesielle forkunnskaper til emnet.

Required preliminary courses

Coursework requirements from MALK4000-401 and MALK4000-403 must be approved to participate and submit coursework requirements in MALKA211.

Learning outcomes

On successful completion of the course, the student has the following learning outcomes classified as knowledge, skills and competence:

Knowledge

The student

  • can describe and discuss characteristics of behavior analysis as a science
  • can identify core concepts and relations concerning respondent and operant conditioning
  • can describe and exemplify different measures of reliability
  • can describe different methods of observation and recording of behavior, and choose the appropriate methods in different settings

Skills

The student

  • can observe and measure behavior

Competence

The student

  • can explain core concepts in behavior analysis to the Public
  • can understand important aspects of behavior analysis as a science

Teaching and learning methods

Teaching and learning methods include lectures, exercises, student presentations and discussion of course readings. The lectures will partly be based on interteaching sequences using literature from the curriculum.

Course requirements

The following required coursework must be approved before the student can take the exam:

  • 3 individual written assignments, each with maximum 6000 keystrokes

Assessment

Alle hjelpemidler er tillatt, så lenge regler for kildehenvisning blir fulgt.

Permitted exam materials and equipment

Gradert skala A - F.

Grading scale

Det benyttes en intern og en ekstern sensor til sensurering av besvarelsene.

Et uttrekk på minst 25 % av besvarelsene sensureres av to sensorer. Karakterene på de besvarelsene som er vurdert skal danne grunnlag for å fastsette nivå på resten av besvarelsene

Examiners

Agnete Vabø