After successful completion of the course, students are able to...
Machine learning refers to computer algorithms that can improve independently through experience. Machine learning algorithms build a model based on sample data called "training data" to make predictions or decisions without being explicitly programmed to do so. With increasingly powerful resources for storing and processing data, these algorithms have also found their way into mechanical engineering. This seminar will provide an overview of the application of these algorithms.
Specific machine learning approaches in mechanical engineering will be summarized by the seminar participants in the form of independent contributions under expert supervision of the institute, elaborated as manuscript and presentation, presented and discussed. The participants can choose from an annually changing list of topics.
After the selection of the individual topics, students are supported in finding suitable literature. Questions regarding content, preparation and presentation are possible at any time via e-mail or during office hours. The manuscript will be sent to the lecturer via e-mail one day before the presentation and uploaded by her for all participating students. Following the presentation, students will be invited to discuss the presentation. The quality of the presentation will be discussed by and with the students, questions will be asked about the content and subject matter, and the students discuss new insights that they have gained from this presentation. Participation in the discussion and attendance will be included in the grade.
The seminar is expected to take place in person. If required by external circumstances, it can be transformed into an online format.
The final grade will be composed of evaluations of the manuscript and presentation as well as participation in the discussion and attendance.
