Programplaner og emneplaner - Student
MALKA211 Introduction to Behavior Analysis Course description
- Course name in Norwegian
- Introduksjon til atferdsanalyse
- Weight
- 10.0 ECTS
- Year of study
- 2022/2023
- Course history
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- Curriculum
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SPRING 2023
- Schedule
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Introduction
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Required preliminary courses
None.
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Learning outcomes
After completing the course, the student should have the following overall learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The student has
- thorough knowledge of main social science philosophy topics relevant to social welfare and health policy studies
- knowledge of theories and concepts enabling systematic reflection on social science
Skills
The student can
- analyse, discuss and evaluate social science from the viewpoint of philosophy of science
General competence
The student has
- thorough understanding of the relation between actual research;and theories about research
- a well developed understanding of the foundations of research results and design
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Teaching and learning methods
The teaching consists of lectures (including electronic lectures), seminars and tutorials related to the coursework requirements. Students are expected to play an active role.
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Course requirements
Compulsory activities must be completed and approved by the given deadline in order for the student to take the exam:
Students must submit four essays on the philosophy of social science (500 Words each).;
The four essays are separately awarded a Pass or Fail. A Pass in all of them qualifies for sitting the school exam.;
Students whose coursework requirement is not approved may resubmit;once. If;not approved after two submissions the student will be disqualified;from sitting the final school examination.
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Assessment
The assessment consists of a six hour school exam.
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Permitted exam materials and equipment
Students may use a spelling dictionary, as well as a bilingual dictionary during the written school exam.
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Grading scale
Grade scale A - F.;
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Examiners
The exam papers are assessed by an internal and an external examiner.
A random selection consisting of at least 25% of the exam papers will be graded by both an internal and external examiner. This will inform the grading of the remaining exam papers.