Algorithmic Introduction to Coding Theory
This note introduces the theory of error-correcting codes to computer scientists. This theory, dating back to the works of Shannon and Hamming from the late 40's, overflows with theorems, techniques, and notions of interest to theoretical computer scientists. The course will focus on results of asymptotic or algorithmic significance. Principal topics include: Construction and existence results for error-correcting codes, Limitations on the combinatorial performance of error-correcting codes, Decoding algorithms, Applications in computer science.
Author(s): Madhu Sudan
NA 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
Introduction to Programming Lectures Notes
The lecture note covers programming concepts in detail with regard to the importance of beginners. The note compiles basic elements about objects, variables, and methods in relation to the significance of classes in object-oriented programming. Readers will learn about primitive data types, conditional and loop statements, and application of arrays and matrices in the management of data. Another aspect that the note focuses on is practical skills, such as file handling and error management, recursion, etc. What makes this resource absolute for beginning programmers is its clarity and structured approach.
Author(s): Prof. Diego Calvanese
NA Pages
