- [Voiceover] Before you get started with this course, make sure to download the Exercise Files, free to all lynda.com members. I recommend placing the Exercise Files on your desktop, providing easy access as you progress through the topics. At the end of each movie, I'll be assigning activities to be completed. Some of the activities have associated worksheets, which can be found in the corresponding chapter folder in the Exercise Files. There's also a file that contains some quick reference documentation. The truth is you could do your homework later, but it'd be much more effective for you to complete the practice right after watching the movies.
In order to learn discrete mathematics, it's important to practice, practice, practice. I can't stress that enough. Repeat the exercises until they're easy. Take as much time as you need, and work at your own pace. Remember the more often you practice math, the better you'll get and the easier it will be to learn new concepts in the future.
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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