Search result: Course units in Autumn Semester 2023
|Data Science Master|
|Master Studies (Programme Regulations 2023)|
|261-5112-00L||Algorithms and Data Structures for Population Scale Genomics||W||3 credits||2G||A. Kahles|
|636-0017-00L||Computational Biology||W||6 credits||3G + 2A||T. Vaughan, C. Magnus, T. Stadler|
|252-1411-00L||Security of Wireless Networks||W||6 credits||2V + 1U + 2A||S. Capkun, K. Kostiainen|
|227-0575-00L||Advanced Topics in Communication Networks||W||6 credits||2V + 2U||L. Vanbever|
|263-4640-00L||Network Security||W||8 credits||2V + 2U + 3A||A. Perrig, S. Frei, K. Paterson|
|401-3913-01L||Mathematical Foundations for Finance||W||4 credits||3V + 2U||B. Acciaio|
|401-3922-00L||Life Insurance Mathematics||W||4 credits||2V||M. Koller|
|401-3925-00L||Non-Life Insurance: Mathematics and Statistics||W||8 credits||4V + 1U||M. V. Wüthrich|
|261-5111-00L||Asset Management: Advanced Investments (University of Zurich)|
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student.
UZH Module Code: MFOEC207
Mind the enrolment deadlines at UZH:
|W||3 credits||2V||University lecturers|
|401-4889-00L||Mathematical Finance||W||10 credits||4V + 2U||M. Schweizer|
|103-0227-00L||Application Development in Cartography||W||6 credits||4G||L. Hurni|
|103-0717-00L||Geoinformation Technologies and Analysis||W||6 credits||5G||M. Raubal|
|103-0778-00L||GIS and Geoinformatics Lab||W||4 credits||4P||P. Kiefer|
|851-0760-00L||Building a Robot Judge: Data Science for Decision-Making |
Particularly suitable for students of D-INFK, D-ITET, D-MTEC.
|W||3 credits||2V||E. Ash|
|851-0761-00L||Building a Robot Judge: Data Science for Decision-Making (Course Project)|
Does not take place this semester.
This is the optional course project for "Building a Robot Judge: Data Science for the Law."
Please register only if attending the lecture course or with consent of the instructor.
Some programming experience in Python is required, and some experience with text mining is highly recommended.
|W||2 credits||2A||E. Ash|
|851-0735-09L||Workshop & Lecture Series on the Law & Economics of Innovation||W||2 credits||2S||S. Bechtold|
|227-0421-00L||Learning in Deep Artificial and Biological Neuronal Networks||W||4 credits||3G||B. Grewe|
|227-1033-00L||Neuromorphic Engineering I |
Registration in this class requires the permission of the instructors. Class size will be limited to available lab spots.
Preference is given to students that require this class as part of their major.
Information for UZH students:
Enrolment to this course unit only possible at ETH. No enrolment to module INI404 at UZH.
Please mind the ETH enrolment deadlines for UZH students: Link
|W||6 credits||2V + 3U||T. Delbrück, S.‑C. Liu, M. Payvand|
Particularly suitable for students of D-INFK, D-MATH.
|W||3 credits||2V||U. Brandes|
Particularly suitable for students of D-INFK and in the MSc Data Science
Students are required to have basic knowledge in inferential statistics, such as regression models.
|W||3 credits||2G||C. Stadtfeld, A. Espinosa Rada, A. Uzaheta Berdugo|
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