Essential Coding Theory
This book explains the following topics: Linear Codes, Probability as Fancy Counting and the q-ary Entropy Function, Combinatorics, The Greatest Code of Them All: Reed-Solomon Codes, What Happens When the Noise is Stochastic: Shannon's Theorem, Bridging the Gap Between Shannon and Hamming: List Decoding, Code Constructions, Code Concatenation, Algorithms, Decoding Concatenated Codes, Efficiently Achieving the Capacity of the BSCp, Efficient Decoding of Reed-Solomon Codes, Efficiently Achieving List Decoding Capacity, Applications.
Author(s): Venkatesan Guruswami, Atri Rudra and Madhu Sudan
NA Pages 
Programming Fundamentals by Kenneth Leroy Busbee
Kenneth Leroy Busbee and Dave Braunschweig's Programming Fundamentals is a book that offered readers a more solid foundation in programming concepts. The text covers the basic elements of programming systems: from data types to the operators and the functions, to control structures including the conditions and the loops, advanced elements such as arrays and strings processing files among others. The book focuses on object-oriented programming and brings out classes and objects. This material is widely used by students looking to develop a solid foundation of programming principles and practices-a growing emphasis on practical application and theoretical knowledge.
Author(s): Kenneth Leroy Busbee, Dave Braunschweig
424 Pages
Notes on Coding Theory by J.I.Hall
This comprehensive note considers some basic material in coding theory and discusses sphere packing and Shannon's theorem, which form the basics to understanding the idea of error correction and data transmission. It also deals with the concept of linear codes and their applications by describing Hamming codes and generalized Reed-Solomon codes. The material further takes a look at some codes within the frameworks of modifiation of codes and codes over subfields, providing insights into cyclic codes. Furthermore, it addresses the importance of countering weights and distances in error-correcting codes, thus making it a very vital text for students and professionals looking to deepen their knowledge on mathematical underpinnings and practical applications of coding theory.
Author(s): J.I.Hall
204 Pages
