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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Computability and Complexity : Foundations and Tools for Pursuing Scientific Applications
Rod Downey
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Topics in Parallel and Distributed Computing : Enhancing the Undergraduate Curriculum: Performance, Concurrency, and Programming on Modern Platforms
Sushil K. Prasad
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Topics in Parallel and Distributed Computing : Enhancing the Undergraduate Curriculum: Performance, Concurrency, and Programming on Modern Platforms
Sushil K. Prasad
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Ideals, Varieties, and Algorithms : An Introduction to Computational Algebraic Geometry and Commutative Algebra
David A. Cox
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UML @ Classroom : An Introduction to Object-Oriented Modeling
Martina Seidl
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UML @ Classroom : An Introduction to Object-Oriented Modeling
Martina Seidl
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Introduction to Compiler Design
Torben Ægidius Mogensen
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Numerical Python in Astronomy and Astrophysics : A Practical Guide to Astrophysical Problem Solving
Wolfram Schmidt
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Sets, Logic and Maths for Computing
David Makinson
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Mathematics for Computer Graphics
John Vince
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Julia - Bit by Bit : Programming for Beginners
Noel Kalicharan
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Programming Language Concepts
Peter Sestoft
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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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Data Structures and Algorithms with Python : With an Introduction to Multiprocessing
Kent D. Lee
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Introduction to Compiler Design
Torben Ægidius Mogensen
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A Course in Python : The Core of the Language
Roozbeh Hazrat
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A Course in Python : The Core of the Language
Roozbeh Hazrat
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Linear Algebra with Python : Theory and Applications
Makoto Tsukada
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Ethical and Secure Computing : A Concise Module
Joseph Migga Kizza
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