Afonso S. Bandeira's Homepage

	Prof. Dr. Afonso Bandeira Professur fur Mathematik HG G 23.1 Ramistrasse 101 8092 Zurich Switzerland					Afonso S. Bandeira bandeira [at] math [dot] ethz [dot] ch take me back to the main page Teaching List of current teaching available here Some Lecture Notes and Books:


	Home Research Interests Publication s CV > Blog > Teaching >					Linear Algebra A. S. Bandeira Lecture Notes (introductory undergraduate course, Part II), Fall 2023, ETH Zurich Mathematics of Data Science (draft) A. S. Bandeira, A. Singer, T. Strohmer Book in preparation See here for videos of lectures on this material (Disclaimer: they were prepared due to the Covid-19 pandemic, and are not polished or high-quality, I include them here in case they are still useful) Mathematics of Signals, Networks, and Learning* A. S. Bandeira and A. Maillard Lecture Notes (undergraduate course), Spring 2023, ETH Zurich Ten Lectures and Forty-Two Open Problems in the Mathematics of Data Science A. S. Bandeira Lecture Notes, December 2015. Mathematics of Machine Learning A. S. Bandeira and N. Zhivotovskiy Lecture Notes (undergraduate course), Spring 2021, ETH Zurich See here for videos of lectures on this material List of Current Courses: search in VVZ Math ETH Forum: here Some other course material: 2021 Spring (ETHZ) - Mathematics of Machine Learning Notes, Videos, and more at ETH Metaphor and/or Math ETH Forum 2021 Spring (ETHZ) - Student Seminar in Mathematics of Data: Optimal Transport: See ETH aMetaphornd/or Math ETH Forum 2020 Fall (ETHZ) - Complex Analysis: Videos and more at ETH Metaphor and/or Math ETH Forum 2020 Spring (ETHZ) - 401-4944-20L Mathematics of Data Science 2020 Spring (ETHZ) - 401-3940-20L Student Seminar in Mathematics and Data: Optimization of Random Functions 2018 Fall (NYU) - DS-GA 1014: Optimization and Computational Linear Algebra for Data Science 2018 Fall (NYU) - MATH-GA 2830.002: Advanced Topics in Applied Math: Working group on Math and Data - Statistical To Computational Gaps And Statistical Estimation With Algebraic Structure 2018 Spring (NYU) - DS-GA 3001: Special Topics in Data Science: MATHEMATICS OF DATA SCIENCE: Graphs and Networks 2016 Fall (NYU) - MATH-GA 2830.002: Advanced Topics in Applied Math: MATHEMATICS OF DATA SCIENCE 2016 Fall (NYU) - DS-GA 3001.03: Optimization and Computational Linear Algebra for Data Science 2015 Fall (MIT) - 18.S096: Topics in Mathematics of Data Science Lecture Notes: Ten Lectures and Forty-Two Open Problems in the Mathematics of Data Science More is available at the course website and at the permanent MIT OCW link for the course. 2015 Spring (Princeton) - MAT 585: Mathematical Analysis of Massive Data Sets (guest lecturer) April 2, 2015: Max-Cut and Stochastic Block Model April 7, 2015: Exact Recovery of the Semidefinite Relaxation for Stochastic Block Model April 9, 2015: Johnson-Lindenstrauss, Group testing, and Compressed Sensing 2014 (short course): November 7, 2014: Community detection via Semidefinite Relaxation. Part of Special course on "Randomness, matrices and high dimensional problems" at IMPA, Brazil. [video] 2013 (Princeton) - APC 520: Mathematical Analysis of Massive Data Sets (guest lecturer) April 29, 2013: Johnson-Lindenstrauss, Group testing, and Compressed Sensing