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 
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
