INTERDISCIPLINARY LAB FOR DATA SCIENCES (ILDS)
COMPUTER SCIENCE DEPARTMENT, IIT MADRAS
Aravind Rajeswaran
Coursework
Statistics, learning, & decision making:
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Optimization
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Multivariate data analysis
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Applied time series analysis
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System identification
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Modern control theory
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Decision modeling
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Statistical design & analysis of experiments
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Reinforcement learning (Spring 2016)
Computational Science & Applied Math:
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Computational science & engineering
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Advanced numerical methods
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Finite element analysis
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Nonlinear dynamics & chaos
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Advanced transport phenomena
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Computational fluid dynamics
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Computational systems biology
Courses at IIT Madras
Certified online courses
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Design & Analysis of Algorithms - offered by CMI along with IIT Madras under NPTEL.
Requires programming assignments and quizzes. Final proctored exam conducted in various cities.
I was the course topper and recieved an "elite" certificate with medal. Download -
Algorithms: Design & Analysis (Part 1) - taught by Prof. Tim Roughgarden through Coursera Download
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Social & Economic Networks - graduate level course taught by Prof. M.O. Jackson through Coursera Download
Audited & self paced courses
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Convex Optimization (EE364a & EE364b Stanford lectures of Prof. Stephen Boyd)
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Machine Learning (CS229 Stanford lecutres of Prof. Andrew Ng)
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Learning from data (CS156 Caltech lectures of Prof. Yaser Abu-Mostafa)
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Approximate Dynamic Programming (lecures of Prof. Dimitri Bertsekas)
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Reinforcement Learning (lecutures of Dr. David Silver)
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Deep Learning (lecutures of Dr. Nando de Freitas)