Notes on coding theory
This note covers the following topics: The naive way of coding, Coding schemes for binary channels and Shannon theorem, Shannon theorem, Exponential growth rate, Binary codes, The Hamming bound and perfect codes, The Gilbert-Varshamov bound, Error probability estimations, Union bound for BER, State representations and trellises of general codes, Convolutional codes, Tanner graphs and factor graphs.
Author(s): Fabio Fagnani
NA Pages 
Lecture Notes on Programming Theory for Management Information Systems
All this said in advance so as not to anticipate the reader to refer him to Johnny Wei Bing Lin's programming theory notes which fairly thoroughly delivers a course on programming theory precisely tailored for management information systems. Business data analysis begins the document which then gradually turns into using Python as both a calculator and tool which can do something more complex with data. Essentially, these topics include X Y plots, simple and advanced data analyses, and text data. The notes elaborate on the automation and management of information systems, which indicates file management and directory organization as well as powerful program design. This resource has been designed to equip the reader with skills practically applicable towards efficient management and analysis of business data through programming techniques.
Author(s): Johnny Wei Bing Lin
140 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
