Computational Science Education Project
Publisher: CSEP 1996
CSEP is an electronic book for teaching Computational Science and Engineering. The intended audience are students in science and engineering at the advanced undergraduate level and higher. Tutorials for freely available networking and visualization software are included and have attracted a range of users, including high-school students and people from the commercial sector.
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by Carol Critchlow, David Eck - Hobart and William Smith Colleges
The book covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers automata, formal languages, and grammar that would ordinarily be encountered in an upper level course.
by Ani Adhikari, John DeNero - GitBook
Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning ...
by Susan Rodger - Duke University
These lecture notes present an introduction to theoretical computer science including studies of abstract machines, the language hierarchy from regular languages to recursively enumerable languages, noncomputability and complexity theory.
by Al Aho, Jeff Ullman - W. H. Freeman
Aho and Ullman have created a C version of their groundbreaking text. This book combines the theoretical foundations of computing with essential discrete mathematics. It follows the same organizations, with all examples and exercises in C.