Search result: Course units in Spring Semester 2021

Does not take place this semester.
Number of participants limited to 15.

Number of participants limited to 150

Particularly suitable for students of D-ARCH, D-BIOL, D-CHAB, D-INFK, D-ITET, D-MAVT, D- MATL, D-MTEC.

No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: 615G930a

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html

Number of participants limited to 40.

Particularly suitable for students of D-ITET

Prerequisite: Participants should be involved in research in the cognitive science group.

This course is intended for students interested in data analysis and with basic knowledge of inferential statistics.

Number of participants limited to 15.

Priority for Science, Technology, and Policy MSc.

This course is only for doctoral students.

Does not take place this semester.
Number of participants limited to 40

Particularly suitable for students of D-MTEC

Does not take place this semester.

Number of participants limited to 50.

Prerequisites: solid mathematical skills.

Particularly suitable for students of D-ITET, D-MAVT and ISTP

Number of participant limited to 20

Particularly suitable for students of D-INFK, D-ITET, D-MTEC

Number of participants limited to 40

Particularly suitable for students of D-ERDW, D-HEST, D-USYS, D-BIOL

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.

Number of participants limited to 40

Particularly suitable for students of D-ARCH

Number of participants limited to 40.

Does not take place this semester.
It is advisable to take at least one of 851-0252-06 Introduction to Social Networks, 851-0252-15 Network Analysis, or 851-0252-13 Network Modeling beforehand.

Proficiency in programming and data analysis are helpful but can be compensated for by a firm understanding of the foundations relevant for the particular study.

Does not take place this semester.
For PhD students and postdoctoral researchers. Masterstudents are welcome.

Number of participants limited to 30.

Open to all Master level / PhD students.

Only for Master students and PhD students.

Number of participants limited to 24

Prerequisite: Students on BSc or MSc level who have already successfully participated in a data science and programming course.

Course registration targeted at students interested in learning sciences research and higher education. Language of performance assessment will be English.

Number of participants limited to 30.

For MAGPW and PhD students of D-GESS only.
Personal registration required to Prof. Wingert.

For master students only with a personal invitation.

Colloquium is designed for advanced and graduated students.

Does not take place this semester.

Number of participants limited to 25.

Only for PhD Students and Postdocs of the ETH Domain

To complete the registration, participants have to register in myStudies as well as via the ETH Event Services. The registration link will be available from 15 January 2021 on the Summer School web-page:
Link.

Does not take place this semester.

Primarily suited for Master and PhD students.

Suitable only for MA and PhD students

Number of participants limited to 20

No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: 600G132a

Number of participants limited to 15.

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html