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Programming Languages Theory and Practice
This note covers the following topics: Inductive Definitions, Transition Systems, Defining a Language, Concrete Syntax, Abstract Syntax Trees, Abstract Binding Trees, Functional Language, Control and Data Flow, Imperative Functional Programming, Cost Semantics and Parallelism, Data Structures and Abstraction, Lazy Evaluation, Dynamic Typing, Subtyping and Inheritance, Concurrency.
Author(s): Robert Harper
277 Pages 
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This note covers the following topics: The naive way of coding, Coding schemes for binary channels and Shannon theorem, Shannon theorem, Exponential growth rate, Binary codes, The Hamming bound and perfect codes, The Gilbert-Varshamov bound, Error probability estimations, Union bound for BER, State representations and trellises of general codes, Convolutional codes, Tanner graphs and factor graphs.
Author(s): Fabio Fagnani
NA Pages
Programming Language Concepts Lecture Notes
This note explains the following topics: Object-oriented programming, Data encapsulation with classes, Subclasses and inheritance, Abstract classes, Exception handling, Reflection, Concurrent programming, Functional programming, Logic programming, Scripting languages.
Author(s): Madhavan Mukund
182 Pages
Theory in Programming Practice (PDF 250P)
Covered topics are: Text Compression, Error Detection and Correction, Cryptography, Finite State Machines, Recursion and Induction, Relational Database, String Matching and Parallel Recursion.
Author(s): Jayadev Misra
250 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
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
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
Learn to Program A Tutorial for the Future Programmer (Chris Pine)
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):
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