First semester
In the first semester you will be encouraged to advance your academic thinking and deepen your understanding of how knowledge is accquired and represented within psychology. The courses provide you with methodological skills required for independent reseach.
PSYP11 Theory and Practice of Science in Psychology, 15 credits, full-time, Autumn
The aim of the course is to give students an advanced understanding of psychological research from a theoretical as well as practical perspective. The objective is to equip students with advanced training in research methods and associated professional skills that prepare them for a career involving psychological research as well as for the application of scientific knowledge and methods in professional settings. The teaching consists of lectures, discussion seminars, laboratory work and individual research projects.
The course comprises two sub-courses:
Sub-course 1
Philosophy of Psychology (7.5 credits). The course looks at psychology as a science from a philosophical perspective. Focus will be on computational theories of cognition and the relationship to the newer dynamic, embedded and embodied theories of cognition. Two special sections will cover social construction, and Ethics in psychology.
Sub-course 2
Project work related to data collection (7.5 credits). The course focuses on the craft of psychological research. The first part of the course consists of eight day-labs in the four designated Master's areas (social psychology, personality and development psychology, work and organisational psychology and cognition and neuro-psychology). It concludes with a short, individual research project.
Fall 23
Fall 22
PSYP15 Advanced Scientific Methods in Psychology, 15 credits, full-time, Autumn
The aim of this course is to provide students with an overview of various advanced methods of data analysis, by way of R and by way of applied methods of Bayesian data analysis necessary to analyse current research in the discipline of psychology. The teaching consists of lectures and seminars including exercises in applied Bayesian data analysis, and practical workshops with the statistical software R, RStudio, and Stan.
The course comprises two sub-courses.
Sub-course 1
Data-analysis I (7.5 credits). The sub-course introduces students to R (and Stan) with a focus on probability theory and applied Bayesian modelling. Teaching includes theory and practice in analytical methods, in particular quantitative methods of data analysis using R and Stan.
Sub-course 2
Data-analysis II (7.5 credits). The sub-course provides students with more in-depth knowledge of Bayesian methods that are widely applicable in the field of Psychology. The sub-course focuses on the provision and discussion of information necessary to critically assess research methods and findings.
Fall 24
PSYP15 Syllabus Fall24, pdf, opens in a new tab
Fall 23