Olga Sorkine Hornung: Catalogue data in Autumn Semester 2022 |  |
| Name | Prof. Dr. Olga Sorkine Hornung |
| Name variants | Olga Sorkine-Hornung O. Sorkine O. Sorkine-Hornung Olga Sorkine Olga Sorkine Hornung |
| Field | Computer Science |
| Address | Professur für Informatik ETH Zürich, CNB G 106.2 Universitätstrasse 6 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 83 57 |
| Fax | +41 44 632 15 96 |
| olga.sorkine@inf.ethz.ch | |
| URL | http://people.inf.ethz.ch/sorkineo |
| Department | Computer Science |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 264-5800-20L | Doctoral Seminar in Visual Computing (HS22)  | 1 credit | 1S | D. B. Baráth, M. Gross, M. Pollefeys, B. Solenthaler, O. Sorkine Hornung, S. Tang | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Current research at the IVC will be presented and discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | This course requires solid knowledge in the area of Computer Graphics and Computer Vision as well as state-of-the-art research. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 401-0131-00L | Linear Algebra  | 7 credits | 4V + 2U | Ö. Imamoglu, O. Sorkine Hornung | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introduction to linear algebra (vector spaces, linear transformations, matrices), inner product, determinants, matrix decompositions (LU, QR, eigenvalue and singular value decomposition). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | - Understand and apply fundamental concepts of linear algebra - Learn about applications of linear algebra | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Linear Algebra: Linear systems of equations, vectors and matrices, norms and scalar products, LU decomposition, vector spaces and linear transformations, least squares problems, QR decomposition, determinants, eigenvalues and eigenvectors, singular value decomposition, applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | See course website | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Recommendations on the course website | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | The relevant high school material is reviewed briefly at the beginning. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competencies |
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