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



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Teaching

List of current teaching available here


Some Lecture Notes and Books:



  








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  • 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 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:
here

Math ETH Forum:
here

Some 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
2015 Spring (Princeton) - MAT 585: Mathematical Analysis of Massive Data Sets (guest lecturer)
2014 (short course):
2013 (Princeton) - APC 520: Mathematical Analysis of Massive Data Sets (guest lecturer)
  • April 29, 2013: Johnson-Lindenstrauss, Group testing, and Compressed Sensing