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 
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
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
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
Programming from the Ground Up (J. Bartlett)
This book covers the following topics: Computer Architecture, Functions, Files, Reading and Writing Simple Records, Developing Robust Programs, Sharing Functions with Code Libraries, Intermediate Memory Topics, High-Level Languages and Optimization.
Author(s): Jonathan Bartlett
326 Pages
A Gentle Introduction to Programming (A. Cumming)
Currently this section contains no detailed description for the page, will update this page soon.
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Designing and Building Parallel Programs (I. Foster)
This book provides a practitioner's guide for students, programmers, engineers, and scientists who wish to design and build efficient and cost-effective programs for parallel and distributed computer systems. It covers the following topics: Parallel Computers and Computation, Designing Parallel Algorithms, Quantitative Basis for Design, Putting Components Together, Tools, Fortran M, High Performance Fortran, Message Passing Interface and Performance Tools.
Author(s): Ian Foster
NA Pages
How to Think Like a Computer Scientist
Currently this section contains no detailed description for the page, will update this page soon.
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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.
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Patterns for Adaptive Programming (AP)
Currently this section contains no detailed description for the page, will update this page soon.
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