Learning Analytics: RTL specialization Link to the course
This course will introduce you to rapidly evolving field of learning analytics - the use of educational data science and educational technology to improve teaching and learning. Learning analytics is not just about the use of computational techniques applied to trace data from learning environments. It also considered the adoption processes within the classroom, or a school, a university, or a workplace. It is not just about data crunching, but also about understanding the ethical concerns embedded within the use of data in educational settings, it is about inquiring into the design of feedback systems, about making decisions with data in learning settings, and of course about understanding how these all help people learn better. 

Introduction to Quantitative Methods (lectures and practical sessions in R) Link to the course
The module "Introduction to methods in Teaching and Learning Science" aims at facilitating the students basic quantitative methods in the field of empirical research methods. Basic knowledge is provided in the lecture "Introduction to quantitative methods". Further the acquired knowledge is applied and advanced through the attached exercise course which are adapted to the students' individual state of the knowledge. To test both theoretical knowledge and the advanced use of the research methods a written exam which includes the contents of both courses is necessary. Furthermore the lecture and the exercise are complemented by tutorial to compensate the students' different prerquisites.