Lynda - Foundations of Programming - Discrete Mathematics

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Lynda - Foundations of Programming - Discrete Mathematics
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Torrent File Content (53 files)

Lynda.com - Foundations of Programming - Discrete Mathematics
0. Introduction
01. Welcome.mp4 -

14.04 MB

02. What you should know.mp4 -

1.13 MB

03. Basics of discrete mathematics.mp4 -

1.2 MB

1. Discrete Math Uses
03. Basics of discrete mathematics.mp4 -

4.15 MB

04. Discrete math for programming.mp4 -

4.19 MB

05. Real-world discrete math.mp4 -

4.21 MB

06. Abstract discrete math.mp4 -

2.72 MB

2. Sets
07. Objects as sets.mp4 -

4.3 MB

08. Set notation.mp4 -

5.14 MB

09. Set operations.mp4 -

7.86 MB

10. Power sets.mp4 -

5.97 MB

11. Sequences and sums.mp4 -

9.5 MB

12. Recursion.mp4 -

9.81 MB

13. Cardinality, disjointness, and partitions.mp4 -

3.25 MB

14. Sets from Cartesian products.mp4 -

4.17 MB

15. Challenge - Practice with sets.mp4 -

1.32 MB

16. Solution - Practice with sets.mp4 -

10.72 MB

3. Setting Up SML
17. Functional programming.mp4 -

4.16 MB

18. Datatypes.mp4 -

5.54 MB

19. Characters and strings.mp4 -

6.8 MB

20. Recursive functions.mp4 -

5.55 MB

21. Challenge - Learn SML.mp4 -

2.7 MB

22. Solution - Create new data types.mp4 -

3.35 MB

4. Analyzing Data Sequences
23. Use SML to create lists.mp4 -

5.89 MB

24. Perform functions on lists.mp4 -

5.2 MB

25. Create datatypes that use lists.mp4 -

3.61 MB

26. Challenge - Model a lunch order.mp4 -

1.83 MB

27. Solution - Model a lunch order.mp4 -

5.57 MB

5. Effective Arguments and Defensible Decisions
28. Valid reasoning and inference.mp4 -

8.45 MB

29. Truth tables.mp4 -

6.55 MB

30. Identify and evaluate predicates.mp4 -

9.78 MB

31. Conditional propositions.mp4 -

7.86 MB

32. Valid arguments.mp4 -

6.22 MB

33. Rules of inference.mp4 -

6.47 MB

34. Prove logical equivalence.mp4 -

7.98 MB

35. Challenge - Write truth tables.mp4 -

1.53 MB

36. Solution - Write truth tables.mp4 -

7.37 MB

6. Proofs Made Easy
37. Write a general outline for a proof.mp4 -

58.02 MB

38. Write subset proofs.mp4 -

4.29 MB

39. Evaluate conditional proofs.mp4 -

12.61 MB

40. Understand biconditional proofs.mp4 -

5.87 MB

41. Prove with mathematical induction.mp4 -

15.04 MB

42. Challenge - Write a proof.mp4 -

1.37 MB

43. Solution - Write a proof.mp4 -

6.73 MB

7. Advanced Discrete Math Topics
44. Visualize data with graph theory.mp4 -

3.53 MB

45. Network optimization with trees.mp4 -

3.62 MB

46. Event probability.mp4 -

4.81 MB

47. Cryptography.mp4 -

28.87 MB

48. Challenge - Advanced techniques.mp4 -

1.56 MB

49. Solution - Advanced techniques.mp4 -

8.52 MB

Description

 							--------------
  Lynda - Foundations of Programming - Discrete Mathematics
  --------------
  
  Released - 09.03.2016
  Updated - 16.03.2016
  
  Downloaded - 20.03.2016
  
  --------------
  
  Skill Level: Intermediate
 
Duration: 3h 11m
  
  --------------
  
  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 statementsâ€”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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Lynda - Foundations of Programming - Discrete Mathematics

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