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 focus of the course will be on understanding human capital and wage dynamics.The course is scheduled to run over 2 days with 9 lectures of 45-minutes. The course offers the students the possibility of presenting their work. This will take the form of

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

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This course is offered in collaboration between two departments at Aarhus University (Department of Management and Department of Food Science), and supported by interdisciplinary centers CiFOOD, MAPP, and START. IntroductionSus