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

The Nature of
Mathematical Modeling


Stoica
Peter Stoica
Professor of Systems Modeling at Uppsala University, Ph.D. - Polytechnic Institute of Bucharest, Romania.


Matrix
Analysis


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


Gallager
Robert Gallager
Professor Emeritus of Electrical Engineering and Computer Science at MIT. Sc.D. - MIT.

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


Introduction to
Linear Algebra


Yu
Bin Yu
Chancellor’s Distinguished Professor and Class of 1936 Second Chair Departments of Statistics and Electrical Engineering and Computer Sciences at UC Berkeley. Ph.D. - UC Berkeley.

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


Probability
.


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