Search result: Course units in Spring Semester 2022

Computer Science Bachelor Information
Minor Courses
NumberTitleTypeECTSHoursLecturers
101-0531-00LDigitalization for Circular Construction (D4C^2) Restricted registration - show details
All students who register go onto a waiting list and 25 of them will be selected by the lecturer
W4 credits9PC. De Wolf
151-0854-00LAutonomous Mobile Robots Information W5 credits4GR. Siegwart, M. Chli, N. Lawrance
227-0075-00LElectrical Engineering IW3 credits2V + 2UJ. Leuthold
227-0123-00LMechatronicsW6 credits4GT. M. Gempp
227-0707-00LOptimization Methods for EngineersW3 credits2GJ. Smajic
227-0803-00LEnergy, Resources, Environment: Risks and ProspectsW6 credits4GO. Zenklusen, T. Flüeler
227-0945-10LCell and Molecular Biology for Engineers II
This course is part II of a two-semester course.
Knowledge of part I is required.
W3 credits2GC. Frei
227-1046-00LComputer Simulations of Sensory Systems Information
Does not take place this semester.
W3 credits3G
252-5053-00LWhat Kind of AI Do We Want? Bringing Artistic and Technological Practices Together Restricted registration - show details W2 credits3SN. Gräfin von Reischach, A. C. Notz
351-0578-00LIntroduction to Economic Policy Restricted registration - show details
Not for students belonging to D-MTEC!
W2 credits1VH. Mikosch
351-1138-00LPRISMA Capstone - Rethinking Sustainable Cities and Communities
Bachelor students get preferential access to this course. All interested students must apply through a separate application process at: https://mtecethz.qualtrics.com/jfe/form/SV_cx4ZghhYhQAY3nT

Participation is subject to successful selection through this sign-up process.

Not for students belonging to D-MTEC!
W4 credits4VA. Cabello Llamas
363-1038-00LSustainability Start-Up Seminar Restricted registration - show details
Number of participants limited to 30.
W3 credits2GA. H. Sägesser
363-1122-00LFrom Entrepreneurial Thinking to Market Relevance - How Startups Scale Restricted registration - show details
Number of participants limited to 40.

All interested students are invited to apply for this course by sending a short motivation letter to Anil Sethi: anilsethi@ethz.ch.
Additionally please enroll via mystudies.
W3 credits2GA. Sethi
376-0210-00LBiomechatronics
Primarily designed for Health Sciences and Technology students.

The Biomechatronics lecture is not appropriate for students who already attended the lecture "Physical Human-Robot Interaction"(376-1504-00L), because it covers similar topics.

Matlab skills are beneficial-> online Tutorial http://www.imrtweb.ethz.ch/matlab/
W4 credits3GR. Riener, N. Gerig, O. Lambercy
401-0302-10LComplex Analysis Restricted registration - show details W4 credits3V + 1UA. Iozzi
402-0810-00LComputational Quantum Physics
Special Students UZH must book the module PHY522 directly at UZH.
W8 credits2V + 2UK. Pakrouski
402-0812-00LComputational Statistical Physics Information W8 credits2V + 2UM. Krstic Marinkovic
402-1782-00LPhysics IIW7 credits4V + 2UR. Wallny
636-0702-00LStatistical Models in Computational BiologyW6 credits2V + 1U + 2AN. Beerenwinkel
851-0370-00LDidactic Basics for Student Teaching AssistantsW1 credit1SS. Pedrocchi, M. Lehner, B. Volk
851-0557-00LSoccer Analytics
Students should be comfortable with mathematical derivations and scripting for data analysis.
W3 credits2GU. Brandes
851-0585-38LData Science in Techno-Socio-Economic Systems Restricted registration - show details
Number of participants limited to 130.

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 credits2VD. Helbing, N. Antulov-Fantulin, V. Vasiliauskaite
851-0602-00LShaping a DCent.Society: Assessing Societal Implications of Bitcoin, Blockchains & Smart Contracts Restricted registration - show details W3 credits2VM. M. Dapp
851-0739-01LNatural Language Processing for Law and Social Science
Particularly suitable for students of D-INFK, D-ITET, D-MTEC
W3 credits2VE. Ash
851-0739-02LNatural Language Processing for Law and Social Science (Course Project)
This is the optional course project for "Natural Language Processing for Law and Social Science".

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 credits2VE. Ash