Search result: Courses in Spring Semester 2021
Spatial Development and Infrastructure Systems Master  | ||||||||||||||||||
 2. Semester | ||||||||||||||||||
| Major Courses | ||||||||||||||||||
| Major Courses for all majors | ||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 103-0427-00L | Regional Economics | W | 4 credits | 2G | ||||||||||||||
| 103-0427-00 G | Regionalökonomie | 2 hrs |
| B. Buser, C. Abegg | ||||||||||||||
| 363-1039-00L | Introduction to Negotiation | W | 3 credits | 2G | ||||||||||||||
| 363-1039-00 G | Introduction to Negotiation | 2 hrs |
| M. Ambühl | ||||||||||||||
| 701-1674-00L | Spatial Analysis, Modelling and Optimisation  Number of participants limited to 25. Prerequisites: 701-0951-00L "GIS - Introduction into Geoinformation Science" in autum semester or comparable preparatory training. | W | 5 credits | 4G | ||||||||||||||
| 701-1674-00 G | Spatial Analysis, Modelling and Optimisation | 4 hrs |
| M. A. M. Niederhuber, V. Griess | ||||||||||||||
| 103-0488-00L | Seminar in Spatial Development and Infrastructure Systems | W | 9 credits | 18A | ||||||||||||||
| 103-0488-00 A | Seminar in Raumentwicklung und Infrastruktursysteme
 | 250s hrs | Supervisors | |||||||||||||||
| 103-0517-00L | Urban and Spatial Economics | W | 3 credits | 2V | ||||||||||||||
| 103-0517-00 V | Urban and Spatial Economics | 2 hrs |
| R. H. van Nieuwkoop | ||||||||||||||
| 101-0521-10L | Machine Learning for Predictive Maintenance Applications 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 | W | 8 credits | 4G | ||||||||||||||
| 101-0521-10 G | Machine Learning for Predictive Maintenance Applications | 4 hrs |
| O. Fink | ||||||||||||||
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