Innovative Methods of Teaching the Basic Control Course L. Keviczky, T. Vámos, A. Benedek, R. Bars, J. Hetthéssy, Cs. Bányász, and D. Sik 1 Introduction System view, understanding systems and how they are controlled, is an important discipline in engineering education. Systems are all around us. Basic knowledge about them is important for everybody. Engineers need deep knowledge enabling analysis and design of control systems. Nowadays considering the ever-increasing knowledge, the explosion of information, the available visual technics and software tools, and the emerging requirement for online distance education, there is a need to revisit the content and the teaching methodology of the basic control course. The basic control course held for software engineering students at the Budapest University of Technology and Economics in the spring semester 2019 covered the topics of analysis and design of continuous and discrete control systems. The content of the course and the teaching methods were overviewed to respond to the challenges of the new teaching environment. A new aspect in the content of the course is the introduction of the YOULA parameterized controller design, which is a very effective method. Other controller algorithms can be considered as special cases of YOULA parameterization. Considering the teaching method, we tried to explain the main disciplines in an understandable way to everybody and then discuss the precise mathematical description. The developed multilevel e-book, SYSBOOK, also supported the L. Keviczky () · T. Vámos · Cs. Bányász Institute for Computer Science and Control, SZTAKI, Budapest, Hungary e-mail: keviczky@sztaki.hu; vamos@sztaki.hu; banyasz@sztaki.hu A. Benedek · R. Bars · J. Hetthéssy · D. Sik Budapest University of Technology and Economics, Budapest, Hungary e-mail: benedek.a@eik.bme.hu; bars@aut.bme.hu; jhetthessy@aut.bme.hu; siktdavid@gmail.com © Springer Nature Switzerland AG 2021 H. R. Arabnia et al. (eds.), Advances in Software Engineering, Education, and e-Learning, Transactions on Computational Science and Computational Intelligence, https://doi.org/10.1007/978-3-030-70873-3_17 249