EPN

MALKA211 Introduction to Behavior Analysis Course description

Course name in Norwegian
Introduksjon til atferdsanalyse
Study programme
Masterstudium i atferdsvitenskap - spesialisering i innovasjon og implementering / Masterstudium i atferdsvitenskap - spesialisering i begreper og anvendelse
Weight
10.0 ECTS
Year of study
2022/2023
Curriculum
SPRING 2023
Schedule
Course history

Introduction

The course introduces Behavior Analysis as a research discipline and presents the basic concepts of behavior analysis, mainly from experimental work and findings. Experimental analysis of behavior is a natural science with ontology and epistemology distinct from other behavioral sciences, and these distinctions are emphasized. Dimensions of Behavior Analysis, respondent and operant conditioning, recording and measurement, and single-case designs, are core topics. In addition, ethical concerns regarding changing other people’s behavior, are discussed. This includes introducing the concept of social validity.

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
  • explain core concepts and relations on classical conditioning, and operant conditioning
  • discuss how prediction and control can be demonstrated in single-case designs
  • describe and exemplify different measures of reliability
  • discuss different methods of observation and recording of behavior
  • describe core elements of behavior chains and different ways in which such chains can be established

Skills

The student can

  • select the appropriate behavioral dimensions and methods for reliable measurement, and observe and measure behavior
  • identify examples of respondent conditioning
  • explain how a behavior chain can be established
  • identify examples of the operant paradigm
  • interpret data from line and bar graphs

Competence

The student can

  • provide practical examples of respondent behavior
  • provide practical examples of operant conditioning
  • use and explain core concepts in behavior analysis to professionals in different branches communicate important aspects of behavior analysis as a science

Teaching and learning methods

In the BSCA specialisation, campus-based lectures and seminars are the main teaching methods, in addition to digital simulation exercises, study questions, and student presentations. The lectures will partly be based on Interteaching sequences using readings from the curriculum. Texts used for Interteaching are announced in the digital learning platform of the university. In the BSII specialisation, the main teaching method is digital course sequences, and feedback on details of course content, and supervised discussion groups will be available during pre-determined time periods. Feedback on written assignments is used in both specialisations.

Course requirements

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

  • 3 individual written assignments submitted digitally, each with a maximum length of 6000 characters, including spaces. References are to be included in the 6000 characters.

Assessment

Individual home examination, 4 hours. Exam questions are in English. Students may submit their exams in Norwegian, Swedish, Danish or English. 

Permitted exam materials and equipment

All

Grading scale

Grade scale A-F

Examiners

One internal and one external examiner will assess all exams.