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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
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
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
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
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
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
How to Think Like a Computer Scientist
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Learn to Program A Tutorial for the Future Programmer (Chris Pine)
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Programming from Specifications (Carroll Morgan)
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