Search result: Catalogue data in Spring Semester 2020
|GESS Science in Perspective |
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.
|851-0585-38L||Data Science in Techno-Socio-Economic Systems |
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
|W||3 credits||3S||N. Antulov-Fantulin|
|Abstract||This course introduces how techno-socio-economic systems in our complex society can be better understood with techniques and tools of data science. Students shall learn how the fundamentals of data science are used to give insights into the research of complexity science, computational social science, economics, finance, and others.|
|Objective||The goal of this course is to qualify students with knowledge on data science to better understand techno-socio-economic systems in our complex societies. This course aims to make students capable of applying the most appropriate and effective techniques of data science under different application scenarios. The course aims to engage students in exciting state-of-the-art scientific tools, methods and techniques of data science. |
In particular, lectures will be divided into research talks and tutorials. The course shall increase the awareness level of students of the importance of interdisciplinary research. Finally, students have the opportunity to develop their own data science skills based on a data challenge task, they have to solve, deliver and present at the end of the course.
|Prerequisites / Notice||Good programming skills and a good understanding of probability & statistics and calculus are expected.|
|851-0147-01L||Theories, Experiments, Causality|
Does not take place this semester.
Particularly suitable for students of D-PHYS
|W||3 credits||2G||R. Wallny, M. Hampe|
|Abstract||This course critically evaluates topics and approaches from physics against a broader historical and philosophical/systematic background. Attention will be paid, amongst other things, to the role of experiments, to the concepts of matter and field, and to theory formation.|
|Objective||Students should be able to critically evaluate different topics and approaches in physics. They should also be enabled to communicate their insights to people from other disciplines and fields.|
|Prerequisites / Notice||This course is part of the ETH "Critical Thinking" initiative.|
|851-0591-01L||BETH - Blockchain for Sustainability |
Does not take place this semester.
Number of participants limited to 200
Particularly suitable for students of D-INFK, D-MTEC, D-ITET, D-MAVT,D-PHYS
|W||3 credits||4G||D. Helbing|
|Abstract||Blockchain and Internet of Things technologies hold the promise to transform our societies and economies. While IoT devices allow us to measure all kinds of activity by humans and machines, the blockchain allows us to securely time-stamp and value this data and even give it a price to trade it on (new) markets. We explore this potential with a specific focus on sustainable development.|
|Objective||The course provides opportunities to gain fundamental understanding of promising new technologies as well as develop creative decentralized solutions for societal challenges using these technologies.|
Participants will learn the fundamentals of blockchain technology, its mechanisms, design parameters and potential for decentralized solutions. Those with software development skills will then further explore the blockchain to develop hands-on decentralized applications and smart contracts. Non-coding participants will further explore how these technologies could be used to design new economic systems. These new cryptoeconomic systems should give citizens multiple incentives to increase cooperation, health, recycling, or education and other positive externalities and to decrease emissions, waste, noise, or stress and other negative externalities. During the hackathon, participants will work in mixed teams on concrete challenges addressing some of the pressing global challenges our societies face, like climate change, financial instability, energy, or mass migration, etc. The aim is to develop decentralized approaches towards a sustainable, sharing circular economy using blockchain and IoT technologies.
Teams will produce a short report (about 10 pages), demonstrate their hackathon prototype based on blockchain technology (Ethereum platform) and present to a interdisciplinary jury on the last day. Throughout the course, participants will hone their critical thinking abilities by leaving their own discipline and discussing best approaches to solve global complex challenges in an international, multi-disciplinary setting with invited subject matter experts and peers from all around the world.
We encourage students with no programming experience, who are interested in the potential of blockchain and IoT to address global challenges, to apply as well!
|851-0125-65L||A Sampler of Histories and Philosophies of Mathematics|
Particularly suitable for students D-CHAB, D-INFK, D-ITET, D-MATH, D-PHYS
|W||3 credits||2V||R. Wagner|
|Abstract||This course will review several case studies from the ancient, medieval and modern history of mathematics. The case studies will be analyzed from various philosophical perspectives, while situating them in their historical and cultural contexts.|
|Objective||The course aims are:|
1. To introduce students to the historicity of mathematics
2. To make sense of mathematical practices that appear unreasonable from a contemporary point of view
3. To develop critical reflection concerning the nature of mathematical objects
4. To introduce various theoretical approaches to the philosophy and history of mathematics
5. To open the students' horizons to the plurality of mathematical cultures and practices
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