Elective Course - Leadership assessment
Course content
How can leadership behaviors be measured? What leadership behaviors should we assess? How can we select leaders who perform effectively and foster their subordinates’ well-being? This course centers on these practically relevant questions at the intersection of research and practice on behavior-based leadership assessment and provides insights on the research areas of leadership and personnel selection in this context. The scientific background, advantages and limitations of behavior-based leadership assessment methods in light of current research and practical challenges are discussed. This elective course consists of both lectures and group activities. One particular focus of this course is on the practical application of the acquired knowledge in several group exercises. In these exercises, students learn to develop behavior-based methods to assess leadership behaviors and discuss different concepts of leadership behaviors. The course is particularly aimed at students who are interested in the topics of leadership selection and assessment and who appreciate gaining practical experience in the construction of behavioral leadership assessment methods.
Bacheloruddannelsen i Psykologi 2021 – studieordningen
Full-degree students enrolled at the Faculty of Social Science, UCPH
- Master Programme in Social Data Science
- Bachelor and Master Programmes in Sociology
- Bachelor and Master Programmes in Psychology
- Bachelor and Master Programmes in Economics
- Master Programe in Political Science
The purpose of these modules is to expand knowledge or put the psychological subject area into perspective through theoretical or empirical specialisation within subject areas within or related to psychology. Upon completion of the elective subject module within the Department of Psychology, students are able to:
- describe and account for relevant concepts and themes within the elective subject
- describe and account for relevant methodological approaches in relation to the subject matter for the elective subject
- explain contexts, analyse and/or conduct procedures relevant to the elective subject under supervision.
classes
Registration period:
November 15 - December 1
International students can find information on course registration and deadlines at New exchange and guest students – Faculty of Social Sciences - University of Copenhagen (ku.dk)
- ECTS
- 10 ECTS
- Type of assessment
-
Written assignment
- Type of assessment details
- Written assignment with a maximum of 12 pages for one student,
15 pages for two students, and 18 pages for three students. For a
group assignment, each student’s contribution must be clearly
identifiable to allow for individual assessment.
A minor part of the assignment may be written collaboratively. - Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Criteria for exam assessment
See Learning Outcome
- ECTS
- 7,5 ECTS
- Type of assessment
-
Written assignment
- Type of assessment details
- Written assignment with a maximum of 12 pages for one student,
15 pages for two students, and 18 pages for three students. For a
group assignment, each student’s contribution must be clearly
identifiable to allow for individual assessment.
A minor part of the assignment may be written collaboratively. - Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Criteria for exam assessment
See Learning Outcome.
- Category
- Hours
- Class Instruction
- 28
- English
- 28
Kursusinformation
- Language
- English
- Course number
- APSB21751U
- ECTS
- See exam description
- Programme level
- Bachelor
- Duration
-
1 semester
Spring: 10 weeks, starts week 6 - Placement
- Spring
- Schedulegroup
-
A
- Studyboard
- Department of Psychology, Study Council
Contracting department
- Department of Psychology
- Department of Political Science
- Social Data Science
- Department of Sociology
- Department of Economics
Contracting faculty
- Faculty of Social Sciences
Course Coordinator
- Pia Ingold (10-726b63306b7069716e664272757b306d7730666d)
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Courseinformation of students