101-0521-10L Machine Learning for Predictive Maintenance Applications
| Semester | Spring Semester 2020 |
| Lecturers | O. Fink |
| Periodicity | yearly recurring course |
| Language of instruction | English |
| Comment | The number of participants in the course is limited to 25 students. Students interested in attending the lecture are requested to upload their transcript and a short motivation responding the following two questions (max. 200 words): -How does this course fit to the other courses you have attended so far? -How does the course support you in achieving your goal? The following link can be used to upload the documents. https://polybox.ethz.ch/index.php/s/3S9ZlyxQTiOS3fM |
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 8 credits |
| Examiners | O. Fink |
| Type | graded semester performance |
| Language of examination | English |
| Repetition | Repetition only possible after re-enrolling for the course unit. |
| Additional information on mode of examination | Performance will be assessed during the semester based on -5 exercises, requiring the students to perform defined sub-tasks for designing a predictive maintenance system (60% of the final grade in total) -Presentation and reimplementation of a scientific journal paper recently published in the field of predictive maintenance (15%). -Report (including the implementation) and presentation of a real case study of designing a predictive maintenance system based on raw condition monitoring signals of a complex engineered system (25%) |