Learning to Program (Alan Gauld)

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

Introduction to Programming Lectures Notes

This note covers the following topics: Introduction to programming, Use of objects and variables, Definition of methods and classes, Primitive data types, Conditional statements, Loop statements, Arrays and matrices, Files and input/output streams, Program errors and exception handling, Recursion, Dynamic arrays and linked lists.

Author(s): Prof. Diego Calvanese

NA Pages

Coding Theory and Applications

This book has been written as lecture notes for students who need a grasp of the basic principles of linear codes. Topics covered includes: Shannon theory and coding, Coding theory, Decoding of linear codes and MacWilliams identity, Coding theory - Constructing New Codes, Coding theory - Bounds on Codes, Reed-Muller codes, Fast decoding of RM codes and higher order RM codes.

Author(s): Enes Pasalic

154 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

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

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

A Practical Theory of Programming (E. Hehner)

This note covers the following topics: Basic Theories, Basic Data Structures, Function Theory, Program Theory, Programming Language, Recursive Definition, Theory Design and Implementation, Concurrency and Interaction.

Author(s): Eric C.R. Hehner

242 Pages

Programming from the Ground Up (J. Bartlett)

This book covers the following topics: Computer Architecture, Functions, Files, Reading and Writing Simple Records, Developing Robust Programs, Sharing Functions with Code Libraries, Intermediate Memory Topics, High-Level Languages and Optimization.

Author(s): Jonathan Bartlett

326 Pages

Patterns for Adaptive Programming (AP)

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

Author(s):

Pages