- Fall 2020, Individual Studies in Mathematics, MATH 4399, Artificial Intelligence, Machine Learning and Reinforcement Learning.
- C. Szepesvári, Algorithms for Reinforcement Learning, Morgan & Claypool Publishers 2009.
- Richard S. Sutton and Andrew G Barto, Reinforcement Learning: An Introduction, A Bradford Book, 2018.
- CS 230 Deep Learning Lectures, Stanford Engineering, online class.
- Stanford CS 234, Reinforcement Learning, online class.
- MIT Introduction to Deep Learning 6.S191, online class.
- UCL Course on Reinforcement Learning, DeepMind, online class.
- Self-Afaptive Computational Methods (based on my research).
- Spring 2020, Individual Studies in Mathematics, MATH 4399, Artificial Intelligence, Machine Learning, and Reinforcement Learning.
- Dan Simovici, Mathematical Analysis for Machine Learning and Data Mining,
World Scientific Publishing Company, 2018.
- C. Bishop, Pattern Recognition and Machine Learning, Springer 2006.
- Andrew Ng, Machine Learning, online class.
- Stanford CS 234, Reinforcement Learning, online class.
- MIT Introduction to Deep Learning 6.S191, online class.
- UCL Course on Reinforcement Learning, DeepMind, online class.
- Self-Afaptive Computational Methods (based on my research).
- Fall 2019, Individual Studies in Mathematics, MATH 4399, Artificial Intelligence and Machine Learning.
- Dan Simovici, Mathematical Analysis for Machine Learning and Data Mining,
World Scientific Publishing Company, 2018.
- C. Bishop, Pattern Recognition and Machine Learning, Springer 2006.
- Andrew Ng, Machine Learning, online class.
- Self-Afaptive Computational Methods (based on my research).
- Spring 2019, Individual Studies in Mathematics, MATH 4399, Artificial Intelligence and Machine Learning.
- Dan Simovici, Mathematical Analysis for Machine Learning and Data Mining,
World Scientific Publishing Company, 2018.
- C. Bishop, Pattern Recognition and Machine Learning, Springer 2006.
- Andrew Ng, Machine Learning, online class.
- Self-Afaptive Computational Methods (based on my research).
- Fall 2018, Individual Studies in Mathematics, MATH 4399, Parallel Computing and Machine Learning.
- Andrew Ng, Machine Learning Yearning, free draft copy from
http://www.mlyearning.org
- Andrew Ng, Machine Learning, online class.
- W. Gropp, E. Lusk, and A. Skjellum, Using MPI, 3rd Edition, MIT Press, 2014.
- W. Gropp, T. Hoefler, R. Thakur, and E. Lusk, Using Advanced MPI, MIT Press, 2014.
- B. Chapman, G. Jost, R. van der Pas, W. Gropp, and E. Lusk, Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation), Scientific and Engineering Edition, The MIT Press 2007.
- Fall 2018, Individual Studies in Mathematics, MATH 4399, Numerical Analysis and Machine Learning.
- C. Bishop, Pattern Recognition and Machine Learning, Springer 2006.
- D. Kincaid and W. Cheney, Numerical Analysis: Mathematics of Scientific Computing, American Mathematical Society, 2002.
- Spring 2011, Individual Studies in Mathematics, MATH 4399.
- N. Matloff, The Art of R Programming: A Tour of Statistical Software Design, No Starch Press 2011.
- C. Bishop, Pattern Recognition and Machine Learning, Springer 2006.
- M. Lutz, Programming Python, Edition 3, O'Reilly Media, Inc. 2006.
- J. Kepner, Parallel MATLAB for Multicore and Multinode Computers (Software, Environments and Tools), Society for Industrial and Applied Mathematics 2009.
- Fall 2010, Individual Studies in Mathematics, MATH 4399.
- P.G. Ciarlet, The Finite Element Method for Elliptic Problems, SIAM: Society for Industrial and Applied Mathematics 2002.
- O.C. Zienkiewicz, R.L Taylor, and J.Z. Zhu, The Finite Element Method: Its Basis and Fundamentals, 6th Edition, Butterworth-Heinemann 2005.
- K.J. Bathe, Finite Element Procedures in Engineering Analysis, Prentice Hall 1982.
- I. Babuska, J. Whiteman, and T. Strouboulis, Finite Elements: An Introduction to the Method and Error Estimation, Oxford University Press 2010.
- Fall 2010, Individual Studies in Mathematics, MATH 4399.
- F. Magoules (Editor), Fundamentals of Grid Computing: Theory, Algorithms and Technologies (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series),
Chapman and Hall/CRC 2009.
- J. Kepner, Parallel MATLAB for Multicore and Multinode Computers (Software, Environments and Tools), Society for Industrial and Applied Mathematics 2009.
- A.M. Bruaset and A. Tveito, Numerical Solution of Partial Differential Equations on Parallel Computers, Springer-Verlag 2006.
- D.E. Keyes, A. Sameh, and V. Venkatakrishnan (Editors), Parallel Numerical Algorithms, Spring-Science-Business Media 1997.
- Fall 2009, Individual Studies in Mathematics, MATH 4399.
- M.L.L. Abell and J.P. Braselton, Mathematica by Example, Academic Press 2008.
- A. Siciliano, Matlab: data analysis and visualization, Wspc 2009.
- M.E. Herniter, Programming in MATLAB, Cengage Learning 2000.
- J. Kepner, Parallel MATLAB for Multicore and Multinode Computers (Software, Environments and Tools), Society for Industrial and Applied Mathematics 2009.
- Spring 2009, Individual Studies in Mathematics, MATH 4399.
- W.H. Press, S.A. Teukolsky, W.T. Vetterling, and B.P. Flannery, Numerical Recipes 3rd Edition: The Art of Scientific Computing, Cambridge University Press 2007.
- D. Kincaid and W. Cheney, Numerical Analysis: Mathematics of Scientific Computing, American Mathematical Society, 2002.
- Precalculus, MATH 1508.
- R. Larson, Precalculus, 10th Edition, Cengage Learning 2017.
- Calculus I, II, III, MATH 1411, MATH 1312, MATH 2313.
- R. Larson, B.H. Edwards, Calculus, 11th Edition, Cengage Learning, 2017.
- Applied Analysis I, MATH 3335.
- E. Kreyszig, Advanced Engineering Mathematics, 10th Edition, Wiley 2011.
- Math for Social Sciences, MATH 1320.
- S. Waner, S. Constenoble, Finite Mathematics & Applied Calculus, 6th Edition, Cengage Learning 2013.
- Introduction to Higher Mathematics, MATH 2325.
- G. Cobb, G. Davidoff, A. Durfee, J. Gifford, D. Oshea, M. Peterson, H. Pollatsek, M. Robinson, L. Senechal, R Weaver, J.W. Bruce, Laboratories in Mathematical Experimentation: A Bridge to Higher Mathematics, Key College 1997.
- Matrix Algebra, Math 3323
- Lee W. Johnson, R. Dean Riess, Jimmy T. Arnold, Introduction to Linear Algebra, Fifth Edition, Pearson 2001.
- Introduction to Numerical Analysis, MATH 4329.
- K. Atkinson and W. Han, Elementary Numerical Analysis, J. Wiley & Sons, 2003.
