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Taking a college-level programming course? Maximize your learning with these Java tutorials. Peggy Fisher explores command-level programming, basic techniques such as managing loops and creating methods, debugging Java code, working with classes and objects, and storing and sorting arrays. Along the way, she investigates the Java API and Java's capabilities for running simulations and algorithm analysis, and issues challenges to write programs that utilize all of these Java features.
Lecturer at Penn State UniversityPeggy Fisher is a programmer and content manager at LinkedIn Learning.
Peggy's main focus is application programming in Java, Arduino, and C++. She has also worked on courses in COBOL and discrete ,athematics. 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. She is a strong supporter of women in STEM. 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.
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- Did you know that object oriented programming languages were originally used most frequently for two types of applications: computer simulations and graphical user interfaces. Computer simulations attempt to mimic real world activities so that their processes can be improved or so that users can better understand how the real world operates. Discrete-event simulation is a good option for problems that can be modeled as individual events that take place at very specific times. Key activities are randomly generating times and durations based on empirical data, and accumulating statistics as the simulation runs. Let's take a look at an example. You could simulate the activity in a parking garage as the entries and departures of cars and the loss of customers who can't enter because the garage is full. This can be done with two model classes a car class and a garage class, and three other supporting classes an event class, a schedule and a monitor. The schedule will manage the events…
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