Suchergebnis: Katalogdaten im Frühjahrssemester 2023
Doktorat Informatik  Mehr Informationen unter: https://www.ethz.ch/de/doktorat.html | ||||||||||||||||||||||||||||||||||||||||||
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| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||
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| 151-0638-00L | MaP Distinguished Lecture Series on Engineering with Living Materials This course is primarily designed for MSc and doctoral students. Guests are welcome. Former title: MaP Distinguished Lecture Series on Soft Robotics | W | 1 KP | 2S | R. Katzschmann, M. Filippi, X.‑H. Qin, Z. Zhang | |||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course is an interdisciplinary colloquium on the engineering of biohybrid systems and robotics. Internationally renowned speakers from academia and industry give lectures about their cutting-edge research, which highlights the state-of-the-art and frontiers in the field of engineering with living materials and biohybrids. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | Participants become acquainted with the state-of-the-art and frontiers in biohybrid systems and robotics, which is a topic of global and future relevance from the field of materials and process engineering. The self-study of relevant literature and active participation in discussions following presentations by internationally renowned speakers stimulate critical thinking and allow participants to deliberately discuss challenges and opportunities with leading academics and industrial experts and to exchange ideas within an interdisciplinary community. | |||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course is a colloquium involving a selected mix of internationally renowned speakers from academia and industry who present their cutting-edge research in the field of engineered systems using living materials. In particular, the course will cover fundamentals of bioengineering at a multicellular level (biofabrication), as well as examples of manufacturing and application of living cells to engineered systems for medical applications and beyond. Speakers will show how to combine living cells with non-living, synthetic materials to realize bio-hybrid systems to be applied to many fields of human life, ranging from biomedicine to robotics, biosensing, ecology, and architecture. It will be shown how bio-hybrid technologies and cutting-edge engineering techniques can support cell proliferation and even enhance their cell functions. The course will cover materials and approaches for the biofabrication of living tissue, seen as a biomedical model for pathophysiological discovery research, or as transplantable grafts for tissue regeneration. Speakers will illustrate how living species can contribute to ecological approaches in town planning (such as CO2 sequestration), sensing and processor technologies enabled by connective and signaling abilities of cells, and motile systems actuated by contractile cells (bio-hybrid robots). The main learning objective is to learn about: materials and techniques to build intelligent biological systems for future, sustainable societies; mechanisms of cell and tissue programmability; and applications in bio-robotics, communication, sensing technologies, and medical engineering. The self-study of relevant pre-read literature provided in advance of each lecture serves as a basis for active participation in the critical discussions following each presentation. | |||||||||||||||||||||||||||||||||||||||||
| Skript | Selected scientific pre-read literature (around two articles per lecture) relevant for and discussed during the lectures is posted in advance on the course web page. | |||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course is taught by a selection of internationally renowned speakers from academia and industry working in the field of bio-hybrid systems and robotics. This lecture series is focusing on the recent trends in engineering with living materials. Participants should have a background in tissue engineering, material science, and/or robotics. To obtain credits, students need to: (i) attend 80% of all lectures; (ii) submit a one-page abstract of 3 different lectures. The performance will be assessed with a "Pass/Fail" format. On-site attendance to the lectures is preferred to foster in-person contacts. However, for lectures given by online speakers, a Zoom link to attend remotely will be provided on Moodle. | |||||||||||||||||||||||||||||||||||||||||
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| 151-0906-00L | Frontiers in Energy Research Findet dieses Semester nicht statt. This course is only for doctoral students. | W | 2 KP | 2S | ||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Doctoral students at ETH Zurich working in the broad area of energy present their research to their colleagues, their advisors and the scientific community. Each week a different student gives a 50-60 min presentation of their research (a full introduction, background & findings) followed by discussion with the audience. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | The key objectives of the course are: (1) participants will gain knowledge of advanced research in the area of energy; (2) participants will actively participate in discussion after each presentation; (3) participants gain experience of different presentation styles; (4) to create a network amongst the energy research doctoral student community. | |||||||||||||||||||||||||||||||||||||||||
| Inhalt | Doctoral students at ETH Zurich working in the broad area of energy present their research to their colleagues, to their advisors and to the scientific community. There will be one presentation a week during the semester, each structured as follows: 20 min introduction to the research topic, 30 min presentation of the results, 30 min discussion with the audience. | |||||||||||||||||||||||||||||||||||||||||
| Skript | Slides will be available on the Energy Science Center pages(www.esc.ethz.ch/events/frontiers-in-energy-research.html). | |||||||||||||||||||||||||||||||||||||||||
| 252-0945-16L | Doctoral Seminar Machine Learning (FS23) Only for Computer Science Ph.D. students. This doctoral seminar is intended for PhD students affiliated with the Institute for Machine Learning. Other PhD students who work on machine learning projects or related topics need approval by at least one of the organizers to register for the seminar. | W | 2 KP | 1S | N. He, V. Boeva, J. M. Buhmann, R. Cotterell, T. Hofmann, A. Krause, M. Sachan, J. Vogt, F. Yang | |||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | An essential aspect of any research project is dissemination of the findings arising from the study. Here we focus on oral communication, which includes: appropriate selection of material, preparation of the visual aids (slides and/or posters), and presentation skills. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | The seminar participants should learn how to prepare and deliver scientific talks as well as to deal with technical questions. Participants are also expected to actively contribute to discussions during presentations by others, thus learning and practicing critical thinking skills. | |||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This doctoral seminar of the Machine Learning Laboratory of ETH is intended for PhD students who work on a machine learning project, i.e., for the PhD students of the ML lab. | |||||||||||||||||||||||||||||||||||||||||
| 252-4202-00L | Seminar in Theoretical Computer Science | W | 2 KP | 2S | E. Welzl, B. Gärtner, M. Hoffmann, J. Lengler, A. Steger, D. Steurer, B. Sudakov | |||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Presentation of recent publications in theoretical computer science, including results by diploma, masters and doctoral candidates. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | To get an overview of current research in the areas covered by the involved research groups. To present results from the literature. | |||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This seminar takes place as part of the joint research seminar of several theory groups. Intended participation is for students with excellent performance only. Formal restriction is: prior successful participation in a master level seminar in theoretical computer science. | |||||||||||||||||||||||||||||||||||||||||
| 263-2100-00L | Research Topics in Software Engineering  The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | Z. Su, M. Vechev, R. Jung | |||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This seminar is an opportunity to become familiar with current research in software engineering and more generally with the methods and challenges of scientific research. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | Each student will be asked to study some papers from the recent software engineering literature and review them. This is an exercise in critical review and analysis. Active participation is required (a presentation of a paper as well as participation in discussions). | |||||||||||||||||||||||||||||||||||||||||
| Inhalt | The aim of this seminar is to introduce students to recent research results in the area of programming languages and software engineering. To accomplish that, students will study and present research papers in the area as well as participate in paper discussions. The papers will span topics in both theory and practice, including papers on program verification, program analysis, testing, programming language design, and development tools. | |||||||||||||||||||||||||||||||||||||||||
| Literatur | The publications to be presented will be announced on the seminar home page at least one week before the first session. | |||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Papers will be distributed during the first lecture. | |||||||||||||||||||||||||||||||||||||||||
| 263-4203-00L | Geometry: Combinatorics and Algorithms The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | B. Gärtner, M. Hoffmann, E. Welzl, P. Schnider | |||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This seminar complements the course Geometry: Combinatorics & Algorithms. Students of the seminar will present original research papers, some classic and some of them very recent. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | Each student is expected to read, understand, and elaborate on a selected research paper. To this end, (s)he should give a 45-min. presentation about the paper. The process includes * getting an overview of the related literature; * understanding and working out the background/motivation: why and where are the questions addressed relevant? * understanding the contents of the paper in all details; * selecting parts suitable for the presentation; * presenting the selected parts in such a way that an audience with some basic background in geometry and graph theory can easily understand and appreciate it. | |||||||||||||||||||||||||||||||||||||||||
| Inhalt | This seminar is held once a year and complements the course Geometry: Combinatorics & Algorithms. Students of the seminar will present original research papers, some classic and some of them very recent. The seminar is a good preparation for a master, diploma, or semester thesis in the area. | |||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Prerequisite: Successful participation in the course "Geometry: Combinatorics & Algorithms" (takes place every HS) is required. | |||||||||||||||||||||||||||||||||||||||||
| 263-4660-00L | Applied Cryptography | W | 8 KP | 3V + 2U + 2P | K. Paterson, F. Günther | |||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course will introduce the basic primitives of cryptography, using rigorous syntax and game-based security definitions. The course will show how these primitives can be combined to build cryptographic protocols and systems. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of the course is to put students' understanding of cryptography on sound foundations, to enable them to start to build well-designed cryptographic systems, and to expose them to some of the pitfalls that arise when doing so. | |||||||||||||||||||||||||||||||||||||||||
| Inhalt | Basic symmetric primitives (block ciphers, modes, hash functions); generic composition; AEAD; basic secure channels; basic public key primitives (encryption,signature, DH key exchange); ECC; randomness; applications. | |||||||||||||||||||||||||||||||||||||||||
| Literatur | Textbook: Boneh and Shoup, “A Graduate Course in Applied Cryptography”, http://toc.cryptobook.us/book.pdf. | |||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Students should have taken the D-INFK Bachelor's course “Information Security" (252-0211-00) or an alternative first course covering cryptography at a similar level. / In this course, we will use Moodle for content delivery: https://moodle-app2.let.ethz.ch/course/view.php?id=19644. | |||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 263-5051-00L | AI Center Projects in Machine Learning Research Last cancellation/deregistration date for this ungraded semester performance: Friday, 17 March 2023! Please note that after that date no deregistration will be accepted and the course will be considered as "fail". | W | 4 KP | 2V + 1A | A. Ilic, N. Davoudi, M. El-Assady, F. Engelmann, S. Gashi, T. Kontogianni, A. Marx, B. Moseley, G. Ramponi, X. Shen, M. Sorbaro Sindaci | |||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course will give students an overview of selected topics in advanced machine learning that are currently subjects of active research. The course concludes with a final project. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | The overall objective is to give students a concrete idea of what working in contemporary machine learning research is like and inform them about current research performed at ETH. In this course, students will be able to get an overview of current research topics in different specialized areas. In the final project, students will be able to build experience in practical aspects of machine learning research, including research literature, aspects of implementation, and reproducibility challenges. | |||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course will be structured as sections taught by different postdocs specialized in the relevant fields. Each section will showcase an advanced research topic in machine learning, first introducing it and motivating it in the context of current technological or scientific advancement, then providing practical applications that students can experiment with, ideally with the aim of reproducing a known result in the specific field. A tentative list of topics for this year: - fully supervised 3D scene understanding - weakly supervised 3D scene understanding - causal discovery - biological and artificial neural networks - reinforcement learning - visual text analytics - human-centered AI - representation learning. The last weeks of the course will be reserved for the implementation of the final project. The students will be assigned group projects in one of the presented areas, based on their preferences. The outcomes will be made into a scientific poster and students will be asked to present the projects to the other groups in a joint poster session. | |||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Participants should have basic knowledge about machine learning and statistics (e.g. Introduction to Machine Learning course or equivalent) and programming. | |||||||||||||||||||||||||||||||||||||||||
| 263-5055-00L | Talent Kick: From Student to Entrepreneur | W | 3 KP | 2G | V. Gropengiesser, A. Ilic | |||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The transfer of the latest research results into scalable start-ups creates the prerequisite forsuccessful innovations. An entrepreneurial spirit and mindset enables young leaders to navigate complex environments and bring their research into practice. Studies are the best time to develop an entrepreneurial mindset and explore the entrepreneurial career path. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | This seminar helps aspiring student/research entrepreneurs to gain hands-on entrepreneurial experience on the path from research into practice. The examples and cases will be primarily from software, AI, and other deep-tech ventures. The seminar was created with the support of ETH AI Center and University of St. Gallen and received competitive funding from the ETH Board, Fondation Botnar, Gebert Rüf Foundation, as well as support from the ETH Foundation. | |||||||||||||||||||||||||||||||||||||||||
| Inhalt | After attending this course, students will be able to: ● Explain the importance and tools to form successful interdisciplinary teams ● Structure customer calls and sales pitchdecks ● Build their first prototypes and MVPs ● Find the right markets and customers to bring your research into practice ● Deal with complexity in bringing innovative / novel products into market ● Develop customer-centric business strategy ● Convince first supporters incl. Entrepreneurial mentors, first investors etc. | |||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The course is practically oriented and features guest speakers from leading start-ups. The course embraces a unique perspective combining technology and investor thinking. The seminar is structured around ten days. | |||||||||||||||||||||||||||||||||||||||||
| 264-5812-00L | Writing for Publication in Computer Science A (WPCS) | Z | 2 KP | 1G | K. A. Lewis | |||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Dieser Kurs unterstützt Doktoranden in der Informatik dabei, die nötigen Fähigkeiten zu erwerben, um ihre ersten eigenständigen Publikationen zu erstellen. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | Writing for Publication in Computer Science is a short course (5 x 4-lesson workshops) designed to help doctoral students develop the skills needed to write their first research articles. The course deals with topics such as: - understanding the needs of different target readerships, - managing the writing process efficiently, - structuring texts effectively, - producing logical flow in sentences and paragraphs, - editing texts before submission, and - revising texts in response to colleagues' feedback and reviewers' comments. | |||||||||||||||||||||||||||||||||||||||||
| Inhalt | Participants will be expected to produce a number of short texts (e.g., draft of a conference abstract) as homework assignments; they will receive individual feedback on these texts during the course. Wherever feasible, elements of participants' future conference/journal articles can be developed as assignments within the course, so it is likely to be particularly useful for those who have i) their data and are about to begin the writing process, or ii) an MSc thesis they would like to convert for publication. | |||||||||||||||||||||||||||||||||||||||||
| 264-5813-00L | Writing for Publication in Computer Science B (WPCS) | Z | 2 KP | 1G | D. Camorani | |||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This short course is designed to help junior researchers in Computer Science develop the skills needed to write their first research articles. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | Writing for Publication in Computer Science is a short course (5 x 4-lesson workshops) designed to help doctoral students develop the skills needed to write their first research articles. The course deals with topics such as: - understanding the needs of different target readerships, - managing the writing process efficiently, - structuring texts effectively, - producing logical flow in sentences and paragraphs, - editing texts before submission, and - revising texts in response to colleagues' feedback and reviewers' comments. | |||||||||||||||||||||||||||||||||||||||||
| Inhalt | Participants will be expected to produce a number of short texts (e.g., draft of a conference abstract) as homework assignments; they will receive individual feedback on these texts during the course. Wherever feasible, elements of participants' future conference/journal articles can be developed as assignments within the course, so it is likely to be particularly useful for those who have i) their data and are about to begin the writing process, or ii) an MSc thesis they would like to convert for publication. | |||||||||||||||||||||||||||||||||||||||||
| 264-5800-21L | Doctoral Seminar in Visual Computing (FS23) | W | 1 KP | 1S | D. B. Baráth, M. Gross, M. Pollefeys, B. Solenthaler, O. Sorkine Hornung, S. Tang | |||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | In this doctoral seminar, current research at the Institute for Visual Computing will be presented and discussed. The goal is to learn about current research projects at our institute, to strengthen our expertise in the field, to provide a platform where research challenges caThis graduate seminar provides doctoral students in computer science a chance to read and discuss current research papers. | |||||||||||||||||||||||||||||||||||||||||
| Lernziel | In this doctoral seminar, current research at the Institute for Visual Computing will be presented and discussed. The goal is to learn about current research projects at our institute, to strengthen our expertise in the field, to provide a platform where research challenges can be discussed, and also to practice scientific presentations. | |||||||||||||||||||||||||||||||||||||||||
| Inhalt | Current research at the IVC will be presented and discussed. | |||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course requires solid knowledge in the area of Computer Graphics and Computer Vision as well as state-of-the-art research. | |||||||||||||||||||||||||||||||||||||||||
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