Valentina Boeva: Courses in Spring Semester 2022 |
Name | Prof. Dr. Valentina Boeva |
Field | Biomedical Informatics |
Address | Professur für Biomedizininformatik ETH Zürich, CAB G 32.2 Universitätstrasse 6 8092 Zürich SWITZERLAND |
Telephone | +41 44 633 66 87 |
valentina.boeva@inf.ethz.ch | |
Department | Computer Science |
Relationship | Assistant Professor (Tenure Track) |
Number | Title | ECTS | Hours | Lecturers | ||||
---|---|---|---|---|---|---|---|---|
252-0868-00L | Data Science for Medicine ![]() ![]() Only for Human Medicine BSc | 4 credits | 4V | |||||
252-0868-00 V | Data Science for Medicine | 4 hrs | J. Vogt, V. Boeva, G. Rätsch | |||||
261-5120-00L | Machine Learning for Health Care ![]() ![]() Number of participants limited to 150. | 5 credits | 2V + 2A | |||||
261-5120-00 V | Machine Learning for Health Care | 2 hrs |
| V. Boeva, G. Rätsch, J. Vogt | ||||
261-5120-00 A | Machine Learning for Health Care | 2 hrs |
| V. Boeva, G. Rätsch, J. Vogt | ||||
263-3300-00L | Data Science Lab ![]() Only for Data Science MSc. | 14 credits | 9P | |||||
263-3300-00 P | Data Science Lab | 9 hrs | C. Zhang, V. Boeva, R. Cotterell, J. Vogt, F. Yang | |||||
263-5351-00L | Machine Learning for Genomics ![]() ![]() The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not provide project work and/or do not show up for the exam, will officially fail the course. Number of participants limited to 75. | 5 credits | 2V + 1U + 1A | |||||
263-5351-00 V | Machine Learning for Genomics | 2 hrs |
| V. Boeva | ||||
263-5351-00 U | Machine Learning for Genomics | 1 hrs |
| V. Boeva | ||||
263-5351-00 A | Machine Learning for Genomics | 1 hrs | V. Boeva |