Coding and Cryptography
Coding theory includes the study of compression codes which enable us to send messages cheaply and error correcting codes which ensure that messages remain legible even in the presence of errors. Topics covered includes: Codes and alphabets, Huffman’s algorithm, Shannon’s noiseless coding theorem , Hamming’s breakthrough, Shannon’s noisy coding theorem , Linear codes, Polynomials and fields , Cyclic codes, Stream ciphers, Asymmetric systems, Commutative public key systems, Trapdoors and signatures.
Author(s): T. W. Korner
104 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
