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 
Programming Languages Application and Interpretation
This book contains below topics, Everything we will say about parsing, A first look at interpretation, A first taste of desugaring, Adding functions to the language, Mutation of structures and variables, Recursion and cycles, Garbage collection, Macros, Control and threads, Checking program invariants statically with types.
Author(s): Shriram Krishnamurthi, Brown University
207 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
