Menny Akka Ginosar: Catalogue data in Spring Semester 2021 |
Name | PD Dr. Menny Akka Ginosar |
Field | Dynamic systems |
Address | Professur für Mathematik ETH Zürich, HG J 67 Rämistrasse 101 8092 Zürich SWITZERLAND |
Telephone | +41 44 632 70 24 |
menny.akka@math.ethz.ch | |
URL | https://people.math.ethz.ch/~menashea/ |
Department | Mathematics |
Relationship | Privatdozent |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
401-1152-02L | Linear Algebra II | 7 credits | 4V + 2U | M. Akka Ginosar | |
Abstract | Eigenvalues and eigenvectors, Jordan normal form, bilinear forms, euclidean and unitary vector spaces, selected applications. | ||||
Learning objective | Basic knowledge of the fundamentals of linear algebra. | ||||
Literature | Siehe Lineare Algebra I | ||||
Prerequisites / Notice | Linear Algebra I | ||||
401-5370-00L | Ergodic Theory and Dynamical Systems | 0 credits | 1K | M. Akka Ginosar, M. Einsiedler, University lecturers | |
Abstract | Research colloquium | ||||
Learning objective | |||||
406-0141-AAL | Linear Algebra Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | 5 credits | 11R | M. Akka Ginosar | |
Abstract | Introduction to Linear Algebra and Numerical Analysis for Engineers. The contents of the course are covered in the book "Introduction to Linear Algebra" by Gilbert Strang (SIAM, 2003). MATLAB is used as a tool to formulate and implement numerical algorithms. | ||||
Learning objective | To acquire basic knowledge of Linear Algebra and of a few fundamental numerical techniques. The course is meant to hone analytic and algorithmic skills. | ||||
Content | 1. Vectors and vector spaces 2. Solving linear systems of equations (Gaussian elimination) 3. Orthogonality 4. Determinants 5. Eigenvalues and eigenvectors 6. Linear transformations 7. Numerical linear algebra in MATLAB 8. (Piecewise) polynomial interpolation 9. Splines | ||||
Literature | G. Strang, "Introduction to linear algebra", Third edition, 2003, ISBN 0-9614088-9-8, http://math.mit.edu/linearalgebra/ T. Sauer. "Numerical analysis", Addison-Wesley 2006 |