Discrete Mathematics Learning Software
Which topics in discrete mathematics that each programmer should learn? Is there any standard book for learning discrete mathematics? Discrete Mathematics Tutorial for Beginners - Learn Discrete Mathematics in simple and easy steps starting from basic to advanced concepts with examples including.
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.
Instructor. Peggy Fisher is a programmer and full-time staff author at Lynda.com.
She is also a strong supporter of women in STEM. Peggy Fisher is a full-time staff author at Lynda.com in the Developer segment. Her main focus is Application Programming in Java, Arduino, and C. She has also worked on courses in COBOL and Discrete Mathematics. Previously she was a faculty member at Penn State University's College of Information Sciences and Technology.
She started out as a programmer working for a large insurance company, but after 18 years she left her job as a director of information technology to pursue her true passion teaching. She earned a master's degree in math education, and went on to teach high school math and computer science in Pennsylvania. In 2012, Peggy accepted a position as an instructional designer at Penn State, and shortly thereafter began teaching Intro to Application Programming with Java. As one of the few female programming teachers, she serves as a mentor to incoming female freshmen who are considering a career in programming. She was also the K–12 outreach coordinator for the college, where she scheduled, ran, and taught summer camps for middle school and high school students. In a PBS NewsHour interview, she expressed that all students should take at least one programming class either in high school or college. Peggy enjoys constantly learning and finding new and exciting ways to bring technology to life in and outside of the classroom, such as using Arduino microcontrollers or Lego Mindstorms, to help make learning hands-on and fun.
Related courses. By: Simon Allardice Course.
4h 47m 10s. By: Elisabeth Robson Course. 2h 19m 27s.
By: Bill Weinman Course. 2h 4m 19s. By: Vince Kotchian Course. 2h 6m. Course Transcript - Voiceover Discrete math is a very important concept in the foundation of programming. Computers operate in a very discrete manner. When we program, it doesn't matter what language we start with.
Eventually our code is translated into machine language or a series of binary bits and bytes that the computer can understand. A bit consists of a value of zero or one. This is also the value of Boolean operators, true or false. They're stored as zero or one.
When we build complex Boolean statements in programming, it's extremely important to understand how to evaluate the end result. For example, if we need to program a series of statements depending on whether or not a condition is true, this is considered a logical expression. Let's consider a business problem. The company wants to send out reminders to all customers who have not made a minimum payment on their credit card bill and they are over 60 days late.
To program this logic, we need to check the following conditions: one, if the. Practice while you learn with exercise files. Watch this course anytime, anywhere. Course Contents. Introduction Introduction.
1. Discrete Math Uses 1. Discrete Math Uses. 2. Sets. 3. Setting Up SML 3.
Setting Up SML. 4. Analyzing Data Sequences 4. Analyzing Data Sequences. 5. Effective Arguments and Defensible Decisions 5.
Effective Arguments and Defensible Decisions. 6. Proofs Made Easy 6. Proofs Made Easy.
7. Advanced Discrete Math Topics 7.
Advanced Discrete Math Topics. Conclusion Conclusion.
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. Instructor. Peggy Fisher is a programmer and full-time staff author at Lynda.com. She is also a strong supporter of women in STEM. Peggy Fisher is a full-time staff author at Lynda.com in the Developer segment.
Her main focus is Application Programming in Java, Arduino, and C. She has also worked on courses in COBOL and Discrete Mathematics. Previously she was a faculty member at Penn State University's College of Information Sciences and Technology.
She started out as a programmer working for a large insurance company, but after 18 years she left her job as a director of information technology to pursue her true passion teaching. She earned a master's degree in math education, and went on to teach high school math and computer science in Pennsylvania. In 2012, Peggy accepted a position as an instructional designer at Penn State, and shortly thereafter began teaching Intro to Application Programming with Java. As one of the few female programming teachers, she serves as a mentor to incoming female freshmen who are considering a career in programming. She was also the K–12 outreach coordinator for the college, where she scheduled, ran, and taught summer camps for middle school and high school students. In a PBS NewsHour interview, she expressed that all students should take at least one programming class either in high school or college.
Peggy enjoys constantly learning and finding new and exciting ways to bring technology to life in and outside of the classroom, such as using Arduino microcontrollers or Lego Mindstorms, to help make learning hands-on and fun. Related courses. By: Simon Allardice Course. 4h 47m 10s. By: Elisabeth Robson Course.
2h 19m 27s. By: Bill Weinman Course.
2h 4m 19s. By: Vince Kotchian Course. 2h 6m. Course Transcript - In every programming class, there's always some subset of mathematics involved. Whether it's understanding number conversion or calculating the efficiency of an algorithm in big O notation, math is an integral part of programming, and even every day life. Hello, my name is Peggy Fisher, and I want to welcome you to foundations of programming, discrete mathematics. In this course, I use an open source functional programming language called Standard ML to demonstrate the concepts of discrete mathematics.
I'll explore various ways to manipulate sets of data. Using various mathematical operators, I'll discuss proofs, logical expressions, lists, and other topics to improve code efficiency, saving time and making your code easier to maintain. After I explain each concept, I'll provide you with a challenge, where you can apply your knowledge. I can't wait to share just how much fun math can be. So grab your calculator, and let's get started on our adventure into discrete mathematics.
Practice while you learn with exercise files. Watch this course anytime, anywhere. Course Contents.
Introduction Introduction. 1. Discrete Math Uses 1. Discrete Math Uses. 2. Sets. 3.
Setting Up SML 3. Setting Up SML. 4. Analyzing Data Sequences 4. Analyzing Data Sequences.
International Conference On Functional Programming
5. Effective Arguments and Defensible Decisions 5. Effective Arguments and Defensible Decisions. 6. Proofs Made Easy 6. Proofs Made Easy.
Discrete Mathematics Learning Outcomes
7. Advanced Discrete Math Topics 7. Advanced Discrete Math Topics. Conclusion Conclusion.