Table of contents

Course instructor: Ivan Oseledes

TAs: Maxim Rakhuba, Evgeny Frolov, Alexander Fonarev, Daria Sushnikova, Denis Kolesnikov

List of projects: Link

Week	Classes	Homework	Tests
1	Course Syllabus, Python Crash Course, Lecture 1 (PCA, ICA demos)	Problem set 1
	Lecture 2 (Floating point, Vector norms, Stability), IPython Intro
	Lecture 3.1 (Matrix multiplication part 1), Lecture 3.2 (Matrix norms, Scalar product, Unitary matrices), Python Intro
2	Lecture 4 (Matrix-by-vector multiplication, FFT, fast convolution)	Problem set 2
	Lecture 5 (Matrix multiplication part 2: Strassen) Practice (Circulant matrix example)
	Practice session
3	Lecture 6 (Ranks, SVD)	Problem set 3
	Lecture 7 (Linear systems)
	Lecture 8 (Eigenvalues & eigenvectors)
4	Lecture 9 (Matrix factorizations)
	Lecture 10 (Algorithms for eigenvalue problems, SVD)		Mid-term test
	Lecture 11 (Sparse matrices-1)
5	Lecture 12 (Iterative methods)	Problem set 4
	Lecture 13 (Iterative method-2)
6
7	Ping-pong test
8	Application period