Applied Computer Science
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Beschreibung
Applied Computer Science presents a unique approach for introductory courses that will engage students with relevant topics from a variety of disciplines, encourage their natural creativity, and prepare them for independent projects. Lab assignments are accessible and carefully sequenced for maximum impact. Students are able to write their own code in building solutions and Python is used to minimize any language barrier for beginners. Problems involving visualization are emphasized throughout with interactive graphics, image files, and plots of generated data.
This text aims to establish a core learning experience around which any number of other learning objectives could be included. The text is presented in seven (7) chapters where each chapter contains three (3) problems and each problem develops five (5) specific lab assignments, plus additional questions and discussion. This approach seeks to leverage the immediate feedback provided by the computer to help students as they work toward writing code creatively. All labs will scale to available hardware and free software could be used for the entire course, if desired.
A unique approach for introductory courses that will engage students with relevant topics from a variety of disciplines, encourage their natural creativity, and prepare them for independent projects Visualization is emphasized throughout with interactive graphics, image files, and plots of generated data The text is presented in seven (7) chapters where each chapter contains three (3) problems and each problem develops five (5) specific lab assignments, plus additional questions and discussion Includes supplementary material: sn.pub/extras
Autor*in
Shane Torbert
Themen in »Applied Computer Science«
AP computer science APCS CS 101 CSP CSP framework College Board advanced placement computer science computer science principles game programming interactive programming introductory computer science introductory programming
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From the reviews:
“There are many graphs and pseudocode listings in C++, Python, Fortran, Java, and other programming languages. … Teachers could use these to teach students the basics only, or they could add methodology to show students how to address a specific problem. Readers will find many numerical analysis examples that make the book friendlier to tactile learners who absorb knowledge by exploring the physical world around them. … high school students studying engineering, future graphic designers, and students … will benefit from reading this book.” (Jolanta Mizera-Pietraszko, ACM Computing Reviews, June, 2012)
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