This graduate seminar is for students to develop perspectives for their professional career. We will start by exploring challenges you might face on your professional way inside or outside scientific research. Every student will have the possibility to explore their skills and develop a competence profile. From this broad foundation we will start to look into different professional pathways: first, scientific careers, and later alternative careers.
The course is part of Module 11 “Teaching and Supervising in Higher Education”. The seminar “Prepration and Supervision” will provide students with insights into supervision in higher education and help them develop their own supervisory skills. In the seminar, students will practice communication and interpersonal skills. Students will also engage in self-reflection to guide their learning process. Students create a portfolio during the semester.
The goal of the course is to enable students to present their research projects (both in writing and verbally), to learn to receive feedback and to use other’s feedback to improve their own projects. Students will also learn to critically evalute other’s research projects and to provide constructive feedback. Students create a portfolio during the semester.
In this course we pursue two goals. First, students will replicate an empirical study. The replication is based on a single target article (see reference list). In the ‘Project Seminar Experimental Replication’ students will form teams and plan an empirical replication study. This includes designing a procedure and engaging in constructive discussions with fellow students in class.
Students provide feedback on each team’s outlined research plan. Teams run both a pilot study and as well as the actual study with a small sample of participants. Students will be exposed to all levels and processes of planning, conducting, analyzing, and interpreting an empirical study.
The second goal is the solicitation of the statistical concepts and competences in R acquired in the first semester. Here students will analyze data sets and replcicate the analyses of original research articles. While the ‘Training Seminar’ focuses on the statistical concepts and covers the basic steps in R, the ‘Practice course’ provides students with in-depth background knowledge to successfully complete the assignments.