Coding Theory and Applications

Programming Fundamentals by Kenneth Leroy Busbee

This PDF Programming Fundamentals covers the following topics related to Programing Theory : Introduction to Programming Systems, Data and Operators, Functions, Conditions, Loops, Arrays, Strings and Files, Object-Oriented Programming.

Author(s): Kenneth Leroy Busbee, Dave Braunschweig

424 Pages

Theory in Programming Practice

This note explains the following topics: Text Compression, Error Detection and Correction, Cryptography, Finite State Machines, Recursion and Induction, Relational Database.

Author(s): Jayadev Misra

250 Pages

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

Course Notes on Coding Theory

This note covers the following topics: Basic codes and constructions, Algebraic Geometry Codes, Limits on Performance of Codes, Algebraic decoding, Algebraic decoding, Linear time decoding, Decoding from random errors and erasures, Applications in complexity theory and Complexity results in coding theory.

Author(s): Madhu Sudan

NA Pages

Programming Language Concepts Lecture Notes

This note explains the following topics: Object-oriented programming, Data encapsulation with classes, Subclasses and inheritance, Abstract classes, Exception handling, Reflection, Concurrent programming, Functional programming, Logic programming, Scripting languages.

Author(s): Madhavan Mukund

182 Pages

Structure and Interpretation of Computer Programs

This note covers the following topics: Functions, Values and Side Effects, Control and Higher-Order Functions, Environments and Lambda, Newton's Method and Recursion, Data Abstraction, Sequences and Iterables, Objects, Lists, and Dictionaries, Mutable Data Types, Object-Oriented Programming, Inheritance, Generic Functions, Coercion and Recursive Data, Functional Programming, Declarative Programming, Unification, MapReduce, Parallelism.

Author(s): Amir Kamil

NA Pages

A Gentle Introduction to Programming (A. Cumming)

Currently this section contains no detailed description for the page, will update this page soon.

Author(s):

Pages

Designing and Building Parallel Programs (I. Foster)

This book provides a practitioner's guide for students, programmers, engineers, and scientists who wish to design and build efficient and cost-effective programs for parallel and distributed computer systems. It covers the following topics: Parallel Computers and Computation, Designing Parallel Algorithms, Quantitative Basis for Design, Putting Components Together, Tools, Fortran M, High Performance Fortran, Message Passing Interface and Performance Tools.

Author(s): Ian Foster

NA Pages

Concepts, Techniques, and Models of Computer Programming (P. Roy, S. Harid, PDF, 939p) Mirror

This book covers the following topics: Introduction to Programming, General Computation Models, Declarative Programming Techniques, Declarative Concurrency, Relational Programming, Object-Oriented Programming, Encapsulated State, Concurrency and State, Specialized Computation Models, Semantics and Virtual Machines.

Author(s): P. Van Roy and S. Haridi

567 Pages

Learn to Program A Tutorial for the Future Programmer (Chris Pine)

Currently this section contains no detailed description for the page, will update this page soon.

Author(s):

Pages