Lecture Notes on Programming Theory for Management Information Systems
Advertisement
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.
This note explains the
following topics: Text Compression, Error Detection and Correction,
Cryptography, Finite State Machines, Recursion and Induction, Relational
Database.
Coding theory includes the study of compression codes which enable us
to send messages cheaply and error correcting codes which ensure that messages
remain legible even in the presence of errors. Topics covered includes: Codes
and alphabets, Huffman’s algorithm, Shannon’s noiseless coding theorem , Hamming’s breakthrough, Shannon’s noisy coding theorem , Linear codes,
Polynomials and fields , Cyclic codes, Stream ciphers, Asymmetric systems,
Commutative public key systems, Trapdoors and signatures.
This note covers the following
topics: Basic codes and constructions, Algebraic Geometry Codes, Limits on
Performance of Codes, Algebraic decoding, Algebraic decoding, Linear time
decoding, Decoding from random errors and erasures, Applications in complexity
theory and Complexity results in coding theory.
Covered topics
are: Text Compression, Error Detection and Correction, Cryptography, Finite
State Machines, Recursion and Induction, Relational Database, String
Matching and Parallel Recursion.
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.
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.