Concepts, Techniques, and Models of Computer Programming (P. Roy, S. Harid, PDF, 939p) Mirror

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

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

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

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)

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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

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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Programming from Specifications (Carroll Morgan)

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