Search result: Course units in Spring Semester 2022

Science in Perspective Information
In “Science in Perspective”-courses students learn to reflect on ETH’s STEM subjects from the perspective of humanities, political and social sciences.

Only the courses listed below will be recognized as "Science in Perspective" courses.
Type B: Reflection About Subject-Specific Methods and Contents
Subject-specific courses. Particularly relevant for students interested in those subjects.

All these courses are also listed under the category “Typ A”, and every student can enroll in these courses.
D-MAVT
NumberTitleTypeECTSHoursLecturers
851-0101-01LIntroduction to Practical Philosophy
Particularly suitable for students of D-MAVT, D-MATL
W3 credits2GL. Wingert
851-0708-00LIntroduction to Law
Introduction to Law as GESS Compulsory Elective Course:
Students who have attended or will attend the lecture "Introduction to Law for Architecture" (851-0703-01L), "Introduction to Law for Civil Engineering" (851-0703-03L) or " Introduction to Law" (851-0703-00) , cannot register for this course unit.

Particularly suitable for students of D-HEST, D-MAVT, D-MATL, D-USYS.
W2 credits2VA. Stremitzer
851-0732-03LIntellectual Property: An Introduction Restricted registration - show details
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.
W2 credits2VR. Zingg
227-0664-00LTechnology and Policy of Electrical Energy StorageW3 credits2GV. Wood, T. Schmidt
851-0735-14LSeminar Business Law: Contracts for Projects by Mechanical Engineers Restricted registration - show details
Number of participants limited to 20

Particularly suitable for students of D-MAVT
W2 credits2SP. Peyrot
701-0791-00LEnvironmental History - Introduction and Overview Restricted registration - show details
Number of participants limited to 80.
W2 credits2VM. Gisler
851-0648-00LMachine Learning for Global Development Restricted registration - show details
Number of participants limited to 40

Prerequisite: Students on BSc or MSc level who have already successfully participated in a data science and programming course.
W3 credits2GJ. D. Wegner, L. Hensgen
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