Advanced Data Science(MA727)
Course Name:
Advanced Data Science
Programme:
M.Tech (CDS)
Semester:
Second
Category:
Programme Core (PC)
Credits (L-T-P):
(3-0-0) 3
Content:
Algorithms for Massive Data Problems: Streaming, Sketching, and Sampling, Clustering, Random Graphs, Topic Models,
Nonnegative Matrix Factorization, Hidden Markov Models, and Graphical Models, An Uncertainty Principle, Linear
Programming, The Ellipsoid Algorithm, Integer Optimization, Semi-Definite Programming, Wavelets, The Haar Wavelet,
Wavelet Systems, Designing a Wavelet System, Applications
References:
Avrim Blum, John Hopcroft and Ravindran Kannan, Foundations of Data Science, 2018 (available online)
Department:
Mathematical and Computational Sciences