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
Notes on Coding Theory by J.I.Hall
This note covers the following topics: Sphere Packing and Shannon’s Theorem, Linear Codes, Hamming Codes, Generalized Reed-Solomon Codes, Modifying Codes, Codes over Subfields, Cyclic Codes, Weight and Distance Enumeration.
Author(s): J.I.Hall
204 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 Gentle Introduction to Programming (A. Cumming)
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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
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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Patterns for Adaptive Programming (AP)
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