Data Science for Undergraduates : Opportunities and Options
Engineering, and Medicine National Academies of Sciences
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The Carnegie-Mellon Curriculum for Undergraduate Computer Science
S.D. Brookes
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Computability and Complexity : Foundations and Tools for Pursuing Scientific Applications
Rod Downey
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UML @ Classroom : An Introduction to Object-Oriented Modeling
Martina Seidl
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Mathematical Methods Using Mathematica(R) : For Students of Physics and Related Fields
Sadri Hassani
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Software Quality Assurance : Consistency in the Face of Complexity and Change
Neil Walkinshaw
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A Course in Python : The Core of the Language
Roozbeh Hazrat
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Programming Languages: Principles and Paradigms
Maurizio Gabbrielli
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Introduction to Cybersecurity : A Multidisciplinary Challenge
Robin Sharp
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Introduction to Software Architecture : Innovative Design using Clean Architecture and Model-Driven Engineering
Kevin Lano
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Modeling of Curves and Surfaces with MATLAB(R)
Vladimir Rovenski
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The Joy of Sets : Fundamentals of Contemporary Set Theory
Keith Devlin
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C Programming: The Essentials for Engineers and Scientists
David R. Brooks
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Data Structure Programming : With the Standard Template Library in C++
Joseph Bergin
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Programming and Meta-Programming in Scheme
Jon Pearce
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Data Structures and Algorithms : An Object-Oriented Approach Using Ada 95
John Beidler
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Objects and Systems : Principled Design with Implementations in C++ and Java
Bernard P. Zeigler
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Problem Solving with Fortran 90 : For Scientists and Engineers
David R. Brooks
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Computer Algebra Recipes : A Gourmet's Guide to the Mathematical Models of Science
Richard Enns
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Introduction to College Mathematics with A Programming Language
Edward J. LeCuyer
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An Introduction to Modern Mathematical Computing : With Maple(TM)
Jonathan M. Borwein
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