Learning to Program (Alan Gauld)

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.

Author(s): Jayadev Misra

250 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

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

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.

Author(s): Amir Kamil

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 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

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

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.

Author(s):

Pages

Patterns for Adaptive Programming (AP)

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

Author(s):

Pages