- [Voiceover] Sometimes, it's necessary to use characters…and strings when programming.…SML has some very specific syntax…that should be addressed in case your programs…require these data types.…To use a character in SML, it must be prefixed…with the pound sign, followed by double quotes…around the character.…Here is an example.…Pound sign, double quotes, a…double quotes, semicolon, now when I hit enter,…it creates a variable i-t, it,…and it sets it to the letter a, which is a character.…
It is important to note that there are no spaces…between the pound sign and the first double quote.…A string on the other hand, is a sequence of characters…and it is defined by simply enclosing it in double quotes.…I'm going to go ahead and put double quotes,…Peggy, space, Fisher, double quotes, semicolon,…and now I've replaced the variable i-t…with the string Peggy Fisher.…Often times we need to concatenate or combine two strings.…
In SML we use the caret symbol.…The caret symbol is located on the keyboard…above the number six.…
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.
- 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
Skill Level Intermediate
1. Discrete Math Uses
3. Setting Up SML
4. Analyzing Data Sequences
5. Effective Arguments and Defensible Decisions
6. Proofs Made Easy
7. Advanced Discrete Math Topics
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