PhD Courses in Denmark

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

Course coordinators: Manuele Citi and Jan M. Bauer, Department of Management, Society and Communication (MSC)FacultyAssociate Professor Manuele Citi Department of Management, Society and Communication, CBSAssociate Professor Jan M. BauerDepartment of

General course objectives:After you have taken this course, you will be able to do state-of-the-art bioinformatics analysis of single-cell data. The main focus in the course is on single-cell RNA-sequencing but we will also cover both spatial and multimod

General course objectives:To enhance student’s skills in communicating their research results effectively to the scientific community and the public through oral and written communication. The course also involves organization of scientific seminars/works

This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.

This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.

This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.

This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.