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University education in Software Engineering is a challenge for both lecturers and students. Software Engineering is a very complex theme requiring various technical and nontechnical skills. At the beginning of a research project we asked which competencies our graduates need in their everyday working life. In this paper the course survey of graduates is described to gain information about necessary expert and interdisciplinary competencies. First of all, the conceptual approach and the research goals are explained. In a second step the research design in detail will be illustrated. Afterwards analyses take place considering this survey in order to get information concerning competencies and to evaluate the course retrospectively considering this expertise. Furthermore it is required to determine whether improvements or deteriorations in chronological sequence through the semesters can be detected. The students' attitude towards this course is not that positive, so also the survey includes this bias. But, as the learning and teaching arrangement shall be designed more attractive for students as well, first their evaluation has to be analysed. The last chapter provides a summary and an outlook how the results of this survey will be used to improve the quality of teaching. All of this combined is intended to contribute towards the development of a Competency Profile and in a wider context to reach the top goal of the project, to obtain recommendations for teaching and learning methods to improve the quality of teaching.
Software Engineering is a very complex theme including abstract processes. Thus its university education is even more challenging; in particular in the course of study in mechatronics, in which various subjects are integrated and combined. Due to our experience the students are low motivated concerning the subject "Software Engineering", because of the mixture of technical and interdisciplinary competencies, therefore the subject matter is difficult to teach.
In this paper, we share some experiences, as we have tried to activate students and therefore attempt to deepen their understanding of Software Engineering and its processes. As a central tool of the seminar phase, which is used to combine active and passive learning styles, a Wiki embedded in our learning management system Moodle was introduced.
Collaborative Knowledge Transfer via Wiki: A Project Based Learning Approach in Software Engineering
(2014)
Due to the high complexity and numerous abstract processes in the subject Software Engineering (SWE), both, challenges in teaching and in learning arise. The teaching of Software Engineering is attempted by a new didactic approach to convey a deeper understanding of the complexity and the processes of Software Engineering in the context of the course.
The approach complements the classical ex-cathedra lecture with a seminar and a project phase, whereby the direct application of theoretical knowledge is achieved in real-world situations. In addition to the consolidation of factual knowledge, transferable skills, such as presentation, communication and teamwork skills, can be encouraged.
The approach focuses on self-studying as well as collaborative learning. The knowledge gained from team working is multiplied by the Wiki and spread over the whole semester.
Comparison of Control Strategies by the Example of the Cooling Fan Control of a Mobile Machine
(2014)
In order to compare different control strategies the cooling system of a mobile machine has been chosen. The example control problem was to run the cooling system for m control variables and with n≤m correction variables in a way to minimize power in order to save energy and to reduce fan noise while maintaining sufficient cooling. The plant is nonlinear. Three different kinds of controllers have been investigated in several variations, i.e. fuzzy control, PI(D) and model predictive control (MPC). 14 different criteria have been used for evaluation. In many respects a linear controller with fuzzy prediction proved best, in particular the prediction model can handle nonlinear properties of the plant.