The Programmers Stone (Alan Colston) PDF

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

Coding and Cryptography

Coding theory includes the study of compression codes which enable us to send messages cheaply and error correcting codes which ensure that messages remain legible even in the presence of errors. Topics covered includes: Codes and alphabets, Huffman’s algorithm, Shannon’s noiseless coding theorem , Hamming’s breakthrough, Shannon’s noisy coding theorem , Linear codes, Polynomials and fields , Cyclic codes, Stream ciphers, Asymmetric systems, Commutative public key systems, Trapdoors and signatures.

Author(s): T. W. Korner

104 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

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 Practical Theory of Programming (E. Hehner)

This note covers the following topics: Basic Theories, Basic Data Structures, Function Theory, Program Theory, Programming Language, Recursive Definition, Theory Design and Implementation, Concurrency and Interaction.

Author(s): Eric C.R. Hehner

242 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

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

The Programmers Stone (Alan Colston)

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How to Think Like a Computer Scientist

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