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Introduction to Coding Theory Lecture Notes
This note explains the following topics: Linear Codes, Bounds, Asymptotic Bounds and Shannon’s Theorem, Constructing Codes from Other Codes, Generalized Reed-Solomon Codes, Asymptotically Good Codes, Local Decodability, List Decoding, Hard Problems in Coding Theory, The Nearest Codeword Problem and NP-Completeness.
Author(s): Yehuda Lindell
73 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
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
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
A Gentle Introduction to Programming (A. Cumming)
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Author(s):
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Structure and Interpretation of Computer Programs, 2nd Edition, (H. Abelson, G.J. Sussman) Videos
This book emphasizes the role of computer languages as vehicles for expressing knowledge and it presents basic principles of abstraction and modularity, together with essential techniques for designing and implementing computer languages.
Author(s): Hal Abelson and Gerald Jay Sussman
NA Pages
Concepts, Techniques, and Models of Computer Programming (P. Roy, S. Harid, PDF, 939p) Mirror
This book covers the following topics: Introduction to Programming, General Computation Models, Declarative Programming Techniques, Declarative Concurrency, Relational Programming, Object-Oriented Programming, Encapsulated State, Concurrency and State, Specialized Computation Models, Semantics and Virtual Machines.
Author(s): P. Van Roy and S. Haridi
567 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
How to Think Like a Computer Scientist
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Author(s):
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Programming from Specifications (Carroll Morgan)
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