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 
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
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
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
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
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
Theory in Programming Practice (PDF 250P)
Covered topics are: Text Compression, Error Detection and Correction, Cryptography, Finite State Machines, Recursion and Induction, Relational Database, String Matching and Parallel Recursion.
Author(s): Jayadev Misra
250 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
How To Design Programs An Introduction To Programming and Computing (M. Felleisen, et al)
The main focus of this book is the design process that leads from problem statements to well-organized solutions; it deemphasizes the study of programming language details, algorithmic minutiae, and specific application domains. It covers the following topics: Processing Simple Forms of Data, Processing Arbitrarily Large Data, Abstracting Designs, Generative Recursion, Accumulating Knowledge, Changing the State of Variables, Changing Compound Values.
Author(s): Matthias Felleisen, Robert Bruce Findler, Matthew Flatt and Shriram Krishnamurthi
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
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):
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