Math

Oppenheim
Alan V. Oppenheim
Ford Professor of Engineering, Electrical Engineering and Computer Science (EECS), MIT. Sc.D. - MIT


Introduction
to Probability

All of
Statistics


Jafarkhani
Hamid Jafarkhani
Chancellor’s Professor, Electrical Engineering and Computer Science, University of California, Irvine. Ph.D. - University of Maryland at College Park


The Nature of Statistical
Learning Theory

Random Processes:
A Mathematical Approach


Kailath
Thomas Kailath
Hitachi America Emeritus Professor of Engineering, Department of Electrical Engineering at Stanford University. Sc.D. - MIT


Stochastic Processes:
Theory for Applications


Diffie
Whitfield Diffie
Visiting professor, Zhejiang University, China, and member of the technical advisory boards of BlackRidge Technology, and Cryptomathic.


Discrete Mathematical
Structures and …


Tomasi
Carlo Tomasi
The Iris Einheuser Professor of Computer Science, Duke University. Ph.D. - Carnegie Mellon University.


Introduction to
Applied Mathematics

Matrix
Computations

Numerical
Optimization

Convex
Optimization

The Nature of
Mathematical Modeling


Médard
Muriel Médard
Cecil H. Green Professor in the Electrical Engineering and Computer Science (EECS) Department at MIT. Sc.D. MIT.

Note: the following books are not recommended by Professor Médard. They are books that have been used as reference texts in one/some courses she has taught.


Introduction to
Linear Algebra


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