PhD Courses in Denmark

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How can you design a study that allows you to make credible causal claims, when randomized experiments are not feasible? How can you address concerns about endogeneity or flawed research design raised by reviewers and colleagues? This PhD course equips st

Course descriptionThis introductory Structural Equation Modelling (SEM) course builds on and extends Applied Quantitative Methods for Management Research Module A: Understanding causality. However, completing Module A is not a requirement for taking this

The course Experimental design builds on the knowledge and skills learned in the course Applied Quantitative Methods for Management Research - Module A: Understanding causality. The course therefore requires a basic understanding of statistics (regression

The aim of this course is to integrate fundamental concepts, theories, and methods from Dynamic Programming and Control, Stochastic Programming, and Reinforcement Learning. It provides students with a strong theoretical foundation for addressing decision-

The advanced topic in quantitative economics is a written project that should contain new knowledge that may potentially be published in a peer-reviewed economics journal.The student’s academic supervisor prepares an individual course description.

The student should have a basic understanding of mathematical concepts such as differentiation and integration. The student should also have a working knowledge of linear algebra such as matrix multiplication, inversion, and eigenvalues/vectors.Read more

See course website:https://psy.medarbejdere.au.dk/phd-informationer/courses/intermediate-statistics-using-spss

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This PhD seminar exposes participants to the world of possibilities in systematic literature reviews in various fields. The seminar enables PhD students to understand basic purposes and approaches of different types of systematic literature reviews and to