Climate models are not just physics translated into code, but they influence and are influenced by humans. Thus modelers need to learn not only the physical basis, but also the underlying motivations and uncertainties of the modeling approach. We develop a course at Bachelor level that aims to teach such interdisciplinary perspectives and show that it proves itself in practice. We share the material as inspiration to include more interdisciplinary content and reflection into modeling courses.