Computer Science BooksPrograming Theory Books

How to Think Like a Computer Scientist

How to Think Like a Computer Scientist

How to Think Like a Computer Scientist

Currently this section contains no detailed description for the page, will update this page soon.

Author(s):

s Pages
Similar Books
Lecture Notes on Programming Theory for Management Information Systems

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.

s140 Pages
Programming Fundamentals by Kenneth Leroy Busbee

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.

s424 Pages
Theory in Programming Practice

Theory in Programming Practice

This note explains the following topics: Text Compression, Error Detection and Correction, Cryptography, Finite State Machines, Recursion and Induction, Relational Database.

s250 Pages
Coding Theory and Applications

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.

s154 Pages
Structure and Interpretation of Computer Programs

Structure and Interpretation of Computer Programs

This note covers the following topics: Functions, Values and Side Effects, Control and Higher-Order Functions, Environments and Lambda, Newton's Method and Recursion, Data Abstraction, Sequences and Iterables, Objects, Lists, and Dictionaries, Mutable Data Types, Object-Oriented Programming, Inheritance, Generic Functions, Coercion and Recursive Data, Functional Programming, Declarative Programming, Unification, MapReduce, Parallelism.

sNA Pages
Algorithmic Introduction to Coding Theory

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.

sNA Pages
A Gentle Introduction to Programming (A. Cumming)

A Gentle Introduction to Programming (A. Cumming)

Currently this section contains no detailed description for the page, will update this page soon.

s Pages
Structure and Interpretation of Computer Programs, 2nd Edition, (H. Abelson, G.J. Sussman) Videos

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.

sNA Pages
Designing and Building Parallel Programs (I. Foster)

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.

sNA Pages
The Programmers Stone (Alan  Colston)

The Programmers Stone (Alan Colston)

Currently this section contains no detailed description for the page, will update this page soon.

s Pages