Structure and Interpretation of Computer Programs

Lecture Notes on Programming Theory for Management Information Systems

This note exlains the following toipics: Basic Business Data Analysis, Python as a Basic and Business Calculator, X Y Plots, Simple Data Analysis, Manipulating Data and More Complex Data Analysis, Reading In and Writing Out Text Data, Automating and Managing Information Systems, Managing Files, Managing Collections of Files Directories, Managing Collections of Files Searching and Designing Power Programs.

Author(s): Johnny Wei Bing Lin

140 Pages

Notes on Coding Theory by J.I.Hall

This note covers the following topics: Sphere Packing and Shannon’s Theorem, Linear Codes, Hamming Codes, Generalized Reed-Solomon Codes, Modifying Codes, Codes over Subfields, Cyclic Codes, Weight and Distance Enumeration.

Author(s): J.I.Hall

204 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

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

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 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

Learning to Program (Alan Gauld)

Simple Sequences, The Raw Materials, Loops, Branching, Modules & Functions, Handling Files, Handling Text, Error Handling, Regular Expressions, Object Oriented Programming, Event Driven Programming, GUI Programming, Recursion, Python in Practice, Working with Databases, Using the Operating System, Inter-process communications and Network programming.

Author(s): Alan Gauld

NA 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

Programming from Specifications (Carroll Morgan)

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

Author(s):

Pages