About this book
When encountering difficult concepts in computer programming for the first time, many students struggle to find simple explanations in their textbooks. Information can also be hard to find on common mistakes made when implementing algorithms and writing programs.
This concise and easy-to-follow textbook/guide provides a student-friendly introduction to programming and algorithms. Emphasis is placed on the threshold concepts that present barriers to learning, including the questions that students are often too embarrassed to ask. The book promotes an active learning style in which a deeper understanding is gained from evaluating, questioning, and discussing the material, and practised in hands-on exercises. Although R is used as the language of choice for all programs, strict assumptions are avoided in the explanations in order for these to remain applicable to other programming languages.
Topics and features:
- Provides exercises at the end of each chapter to test the reader’s understanding
- Includes three mini projects in the final chapter that students may enjoy while programming
- Presents a list of titles for further reading at the end of the book
- Discusses the key aspects of loops, recursions, program and algorithm efficiency and accuracy, sorting, linear systems of equations, and file processing
- Requires no prior background knowledge in this area
This classroom-tested primer is an essential companion for any undergraduate student approaching the subject of programming and algorithms for the first time, regardless of whether their courses are part of a computer science, electrical engineering, mathematics, or physics degree.Dr. Özgür Ergül is an Assistant Professor in the Department of Electrical and Electronics Engineering at the Middle East Technical University, Ankara, Turkey.
- Book Title Guide to Programming and Algorithms Using R
- DOI https://doi.org/10.1007/978-1-4471-5328-3
- Copyright Information Springer-Verlag London 2013
- Publisher Name Springer, London
- eBook Packages Computer Science Computer Science (R0)
- Hardcover ISBN 978-1-4471-5327-6
- Softcover ISBN 978-1-4471-6204-9
- eBook ISBN 978-1-4471-5328-3
- Edition Number 1
- Number of Pages XI, 182
- Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
Programming Languages, Compilers, Interpreters
Algorithm Analysis and Problem Complexity
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