Object Oriented programming Concepts in C++ C++ and Object Oriented Programming Object Oriented programming is a programming style that is associated with the concept of OBJECTS, having datafields and related member functions. Objects are instances of classes and are used to interact amongst each other to create applications. Instance means, the object of class on which we are currently working. C++ can be said to be as C language with classes. C++ can be said to be as C language with classes. For Example : We consider human body as a class, we do have multiple objects of this class, with variable as color, hair etc. and methods as walking, speaking etc. Now, let us discuss some of the main features of object oriented programming which you will be using in C++. ObjectsClassesAbstractionEncapsulationInheritanceOverloadingException Handling Objects Objects are the basic unit of OOP. Class It is similar to structures in C language. Abstraction Encapsulation It can also be said data binding. Inheritance Polymorphism Overloading
The most popular 20 TED Talks, as of now UPDATED: To see all these talks at one click, check out our updated Playlist: The 20 Most Popular Talks of All Time. As 2013 draws to a close, TED is deeply humbled to have posted 1600+ talks, each representing an idea worth spreading. So which ideas have had the most widespread impact? Some fascinating things to notice on this list, if you’d like to compare and contrast it to the most popular talks in 2012, and to the list we shared back in 2011: Amy Cuddy, Susan Cain, David Blaine and Pamela Meyer are all newcomers to the list, with Cuddy’s talk storming to spot #5 thanks to you sharing it. But what really makes this list so incredible is the fact that it spans so many areas of interest, from education to happiness, statistics to creativity, tech demos to illusions.
CS50x: Introduction to Computer Science CS50x is Harvard College's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Students who earn a satisfactory score on 9 problem sets (i.e., programming assignments) and a final project will receive a certificate from HarvardX. Simply Audit this Course Can't commit to all of the lectures, assignments, and tests? Try for a Certificate Participate in all of the course's activities and abide by the edX Honor Code. Earn a Verified Certificate of Achievement ($90 USD) Looking to test your mettle? Earn Harvard Credit ($2050 USD)
Model Thinking This course will consist of twenty sections. As the course proceeds, I will fill in the descriptions of the topics and put in readings. Section 1: Introduction: Why Model? In these lectures, I describe some of the reasons why a person would want to take a modeling course. These reasons fall into four broad categories: To be an intelligent citizen of the worldTo be a clearer thinkerTo understand and use dataTo better decide, strategize, and design There are two readings for this section. The Model Thinker: Prologue, Introduction and Chapter 1 Why Model? Section 2: Sorting and Peer Effects We now jump directly into some models. In this second section, I show a computational version of Schelling's Segregation Model using NetLogo. NetLogo The Schelling Model that I use can be found by clicking on the "File" tab, then going to "Models Library". The readings for this section include some brief notes on Schelling's model and then the academic papers of Granovetter and Miller and Page. Six Sigma V.S.
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