Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Search result: Courses in Spring Semester 2020

GESS Science in Perspective Information
Only the courses listed below will be recognized as "GESS Science in Perspective" courses.

Further below you will find courses under the category "Type B courses Reflections about subject specific methods and content" as well as the language courses.

During the Bachelor’s degree Students should acquire at least 6 ECTS and during the Master’s degree 2 ECTS.

Students who already took a course within their main study program are NOT allowed to take the course again.
Type B: Reflection About Subject-Specific Methods and Contents
Subject-specific courses: Recommended for bachelor students after their first-year examination and for all master- or doctoral students.

Students who already took a course within their main study program are NOT allowed to take the same course again.

All these courses are listed under the category “Typ A”, this means, every student can enroll in these courses.
D-MTEC
NumberTitleTypeECTSHoursLecturers
851-0585-38LData Science in Techno-Socio-Economic Systems Restricted registration - show details
Number of participants limited to 80

This course is thought be for students in the 5th semester or above with quantitative skills and interests in modeling and computer simulations.

Particularly suitable for students of D-INFK, D-ITET, D-MAVT, D-MTEC, D-PHYS
W3 credits3S
851-0585-38 SData Science in Techno-Socio-Economic Systems
Block course: 8th of June to 13th of June 2020
39s hrs
08.06. - 12.06.09-17HG D 7.1 »
13.06.09-13HG D 7.1 »
N. Antulov-Fantulin
351-0578-00LIntroduction to Economic PolicyW2 credits2V
351-0578-00 VEinführung in die Wirtschaftspolitik
Does not take place this semester.
2 hrs
363-0532-00LEconomics of Sustainable DevelopmentW3 credits2V
363-0532-00 VÖkonomische Theorie der Nachhaltigkeit2 hrs
Tue17-19ER SA TZ »
17-19ML D 28 »
L. Bretschger
363-1039-00LIntroduction to NegotiationW3 credits2G
363-1039-00 GIntroduction to Negotiation2 hrs
Wed10-12ML D 28 »
01.04.12-13ML D 28 »
08.04.10-12HG F 3 »
22.04.10-13HG F 3 »
29.04.10-12HG F 3 »
06.05.10-13HG F 3 »
13.05.10-12HG F 3 »
20.05.10-12HG F 3 »
27.05.10-12HG F 3 »
M. Ambühl
363-0564-00LEntrepreneurial RisksW3 credits2G
363-0564-00 GEntrepreneurial Risks2 hrs
Wed15-17ER SA TZ »
15-17HG E 5 »
D. Sornette
751-1500-00LDevelopment EconomicsW3 credits2V
751-1500-00 VEntwicklungsökonomik
Einzelne Vorlesungen werden auf Englisch durchgeführt.
Die erste Vorlesung wird am 25.02.2020 gehalten.
2 hrs
Tue13-15LFW C 5 »
I. Günther, K. Harttgen
851-0732-03LIntellectual Property: An Introduction Information Restricted registration - show details
Number of participants limited to 180

Particularly suitable for students of D-ARCH, D-BIOL, D-CHAB, D-INFK, D-ITET, D-MAVT, D- MATL, D-MTEC.
W2 credits2V
851-0732-03 VIntellectual Property: An Introduction2 hrs
Tue10-12HG G 3 »
S. Bechtold, M. W. Schonger
851-0252-10LProject in Behavioural Finance Restricted registration - show details
Number of participants limited to 40

Particularly suitable for students of D-MTEC
W3 credits2S
851-0252-10 SProject in Behavioural Finance2 hrs
Wed15-17RZ F 21 »
S. Andraszewicz, C. Hölscher, D. Kaszás
851-0591-01LBETH - Blockchain for Sustainability Restricted registration - show details
Number of participants limited to 200

Particularly suitable for students of D-INFK, D-MTEC, D-ITET, D-MAVT,D-PHYS
W3 credits4G
851-0591-01 GBETH - Blockchain for Sustainability
Does not take place this semester.
56s hrsD. Helbing
851-0739-01LSequencing Legal DNA: NLP for Law and Political Economy
Particularly suitable for students of D-INFK, D-ITET, D-MTEC
W3 credits2V
851-0739-01 VSequencing Legal DNA: NLP for Law and Political Economy2 hrs
Mon13-15LFW C 5 »
E. Ash
851-0739-02LSequencing Legal DNA: NLP for Law and Political Economy (Course Project)
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.
W2 credits2V
851-0739-02 VSequencing Legal DNA: NLP for Law and Political Economy (Course Project)
Mondays, 1pm-3pm
28s hrsE. Ash
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