Name | Dr. Markus Kalisch |
Address | Seminar für Statistik (SfS) ETH Zürich, HG G 15.2 Rämistrasse 101 8092 Zürich SWITZERLAND |
Telephone | +41 44 632 34 35 |
markus.kalisch@stat.math.ethz.ch | |
Department | Mathematics |
Relationship | Lecturer |
Number | Title | ECTS | Hours | Lecturers | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
401-0620-00L | Statistical Consulting | 0 credits | 0.1K | ||||||||
401-0620-00 K | Statistischer Beratungsdienst Tel. 044 632 2223 E-Mail beratung@stat.math.ethz.ch | 0.1 hrs | by appt. | M. Kalisch, L. Meier | |||||||
401-0643-00L | Statistics I | 3 credits | 2V + 1U | ||||||||
401-0643-00 V | Statistik I (für Biol./Pharm. Wiss./HST/Humanmed.) Vorlesung im HG F 7 mit Videoübertragung im HG F 5. | 2 hrs |
| M. Kalisch | |||||||
401-0643-00 U | Statistik I (für Biol./Pharm. Wiss./HST/Humanmed.) Di 15-16 (bzw. Mittwoch 2. Mai 2018) für Studiengang Gesundheitswissenschaften und Technologie. Mi 10-11 für Studiengang Humanmedizin. Mi 14-15 für Studiengänge Biologie bzw. Pharmazeutische Wissenschaften. | 1 hrs | M. Kalisch | ||||||||
401-4620-00L | Statistics Lab Number of participants limited to 27. | 6 credits | 2S | ||||||||
401-4620-00 S | Statistics Lab Substantial additional time is required for attending the consulting sessions, carrying out the data analysis and writing of the report. The dates/times for the sessions are arranged on an individual basis. More information is given during the first seminar lecture. | 2 hrs |
| M. Kalisch, M. H. Maathuis, M. Mächler, L. Meier, N. Meinshausen | |||||||
401-5640-00L | ZüKoSt: Seminar on Applied Statistics | 0 credits | 1K | ||||||||
401-5640-00 K | ZüKoSt: Seminar on Applied Statistics **gemeinsam mit der Universität Zürich** Zeit: 15:15-16:30 Nach besonderem Programm gemäss Ankündigung, Koordination M. Kalisch Tel. 044 632 3435 | 10s hrs |
| M. Kalisch, P. L. Bühlmann, R. Furrer, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, N. Meinshausen, M. Robinson, C. Strobl | |||||||
406-0603-AAL | Stochastics (Probability and Statistics) Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | 4 credits | 9R | ||||||||
406-0603-AA R | Stochastics (Probability and Statistics) Self-study course. No presence required. | 120s hrs | M. Kalisch |