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Lynda - Programming Foundations - Discrete Mathematics [AhLaN]

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Lynda - Programming Foundations - Discrete Mathematics [AhLaN] (Size: 561.4 MB)
  01 - Welcome.mp4 23.1 MB
  02 - What you should know.mp4 1.6 MB
  02_09 Challenge.pdf 110.4 KB
  02_10 Solution.pdf 124 KB
  03 - Using the exercise files.mp4 1.8 MB
  04 - Basics of discrete mathematics.mp4 5.3 MB
  05 - Discrete math for programming.mp4 5.4 MB
  05_08_Challenge.pdf 78 KB
  05_09_Solution.pdf 236.9 KB
  06 - Real-world discrete math.mp4 5.4 MB
  06_06_Challenge.pdf 221.1 KB
  06_07_Solution.pdf 44 KB
  07 - Abstract discrete math.mp4 4.3 MB
  07_05 Challenge.pdf 41.5 KB
  07_06_Solution.pdf 181.2 KB
  08 - Objects as sets.mp4 6.9 MB
  09 - Set notation.mp4 8.5 MB
  10 - Set operations.mp4 7.2 MB
  11 - Power sets.mp4 9.9 MB
  12 - Sequences and sums.mp4 15.7 MB
  13 - Recursion.mp4 19.1 MB
  14 - Cardinality, disjointness, and partitions.mp4 5.3 MB
  15 - Sets from Cartesian products.mp4 4.6 MB
  16 - Challenge - Practice with sets.mp4 1.9 MB
  17 - Solution - Practice with sets.mp4 15.6 MB
  18 - Functional programming.mp4 6.9 MB
  19 - Datatypes.mp4 6.4 MB
  20 - Characters and strings.mp4 7.9 MB
  21 - Recursive functions.mp4 7.5 MB
  22 - Challenge - Learn SML.mp4 3.8 MB
  23 - Solution - Create new data types.mp4 3.8 MB
  24 - Use SML to create lists.mp4 8.2 MB
  25 - Perform functions on lists.mp4 6.9 MB
  26 - Create datatypes that use lists.mp4 5 MB
  27 - Challenge - Model a lunch order.mp4 2.7 MB
  28 - Solution - Model a lunch order.mp4 7 MB
  29 - Valid reasoning and inference.mp4 16 MB
  30 - Truth tables.mp4 10.5 MB
  31 - Identify and evaluate predicates.mp4 15.4 MB
  32 - Conditional propositions.mp4 12.4 MB
  33 - Valid arguments.mp4 9.7 MB
  34 - Rules of inference.mp4 10.1 MB
  35 - Prove logical equivalence.mp4 9.8 MB
  36 - Challenge - Write truth tables.mp4 2.2 MB
  37 - Solution - Write truth tables.mp4 10.5 MB
  38 - Write a general outline for a proof.mp4 91.4 MB
  39 - Write subset proofs.mp4 6.8 MB
  40 - Evaluate conditional proofs.mp4 20.9 MB
  41 - Understand biconditional proofs.mp4 9.2 MB
  42 - Prove with mathematical induction.mp4 24.6 MB
  43 - Challenge - Write a proof.mp4 2 MB
  44 - Solution - Write a proof.mp4 9.9 MB
  45 - Visualize data with graph theory.mp4 5.6 MB
  46 - Network optimization with trees.mp4 5.7 MB
  47 - Event probability.mp4 8 MB
  48 - Cryptography.mp4 45.4 MB
  49 - Challenge - Advanced techniques.mp4 2.3 MB
  50 - Solution - Advanced techniques.mp4 12.3 MB
  51 - Next steps.mp4 11.7 MB
  AhLaN.txt 204 B
  Logic Reference.pdf 111.6 KB
  Seed Me!!.png 42 KB
  Set Identities.pdf 66.5 KB
  Set Theory.pdf 113.4 KB
  ▲ 64 total files

Description


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Lynda - Programming Foundations - Discrete Mathematics [AhLaN]



SUPPLiER.....................................: WWW RELEASE DATE......: 23/07/20
Uploader.....................................: abidmail Collector.........: abidmail
... RELEASE iNFORMATiON ...


GENERAL INFO
Instructor : Peggy Fisher
Duration : 3h 10m
Released : 3/9/2016
Source : https://www.lynda.com/Programming-Foundations-tutorials/Foundations-Programming-Discrete-Mathematics/411376-2.html
... About This Course ...


What is discrete math, and how does it apply to programming? Math is an important part of all programming. Discrete mathematics is the study of mathematical structures that are unique (aka discrete). Think integers, graphs, and logical statements—things we use a lot in programming. Discrete math can be used for software design specifications, analysis of algorithms, and other practical applications, but it's really a great tool to develop as a programmer. Put simply, it's a building block for logical thinking.

This course relies on an open-source SML (standard machine language) library to demo the concepts behind discrete math. Peggy Fisher shows you how to manipulate sets of data, write proofs and truth tables, analyze data sequences, and visualize data using graph theory. Challenges at the end of every chapter allow you to test your knowledge. By the end of the course, you should be able to make the leap from theory to using discrete math in practice: saving time and resulting in code that's cleaner and easier to maintain in the long run.

Topics include:
Real-world discrete math
Objects as sets
Set notation and operations
Standard machine language (SML) setup
Working with data types, strings, and functions in SML
Analyzing data sequences
Writing truth tables
Identifying and evaluating predicates
Validating arguments
Writing proofs: subset, conditional, and biconditional proofs
Visualizing data with graphs
Advanced discrete math techniques

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