I think that many math topics have meaning and relevancy and are dependent on the path one takes in terms of finding real world application. For example‚ sports is largely dependent on sports. Decisions are made based regarding playing time as well as strategy based on percentages. In baseball‚ there is a strong use of math. Managers have to make decisions on which pitchers to start and‚ especially so in games of importance‚ those decisions are predicated upon statistical reality. If a pitcher has
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My Real Life Situation Back home‚ I was working as a teaching assistant ‚and still is‚ with limited authorities. At the end of the semester‚ we usually have the finals week. Our department starts to fall apart as usual‚ the schedule was a mess; in one day we have 4 exams and on the other day none. It’s a typical end of the semester when all this madness happens ‚ and we struggle every semester to find a solution. This usually happens because of our head department lack of attention or lack
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Tree definitions If you already know what a binary tree is‚ but not a general tree‚ then pay close attention‚ because binary trees are not just the special case of general trees with degree two. I use the definition of a tree from the textbook‚ but bear in mind that other definitions are possible. Definition. A tree consists of a (possible empty) set of nodes. If it is not empty‚ it consists of a distinguished node r called the root and zero or more non-empty subtrees T1‚ T2‚ …‚ Tk such that there
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Real Life In this commencement speech the authors purpose is to inform the graduates on life. He is telling them that this chapter of their life is now over and it is time to move on. What is next? Fox is up there preaching to the students about what it is like to be an adult and go through the “day to day” life. We all experience new things in our lives each day and may not succeed every single time. He himself said‚” I am not the wise old fish.” This is him telling us he is not always perfect himself
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100501042 Real Life vs Virtual Life For many‚ the first thing they do to start a day is logging into their Facebook account to check out news feeds. After catching up with all their friends’ updates‚ they go to the virtual farm or restaurant that they are running and begin the works. Meanwhile‚ they are preparing for their real-life exam or meeting. But things used to be a lot easier when there were no Facebook and Farm Ville. With the popularity of social networking sites and online games‚ virtual
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catalyst of smiles. Humor is the spark that lights our eyes as well as the cause of tears that never grows old. Humor is a state of mind. HUMOUR IN EVERYDAY LIFE Humor is one of the most important things in everyday life‚ chiefly because it is through humor that we can really see and appreciate some of the best and most beautiful things in life. Humor is another important tool in the key to finding happiness. Most of us have a tendency to regard a clever sense of humor as the distinction of a person
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The 7 Habits of Highly Effective People: Overview Page 1 of 2 The 7 Habits of Highly Effective People: Overview This week‚ Life Training Online is reviewing The 7 Habits of Highly Effective People‚ by Stephen Covey‚ the fifth of fifty-two books in the 52 Personal Development Books in 52 Weeks series. During its first publication in 1990‚ the 7 Habits of Highly Effective People became an instant classic for developing personal and professional effectiveness. Seventeen years later‚ this book
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Adamchik 1 Graph Theory Victor Adamchik Fall of 2005 Plan 1. Basic Vocabulary 2. Regular graph 3. Connectivity 4. Representing Graphs Introduction A.Aho and J.Ulman acknowledge that “Fundamentally‚ computer science is a science of abstraction.” Computer scientists must create abstractions of real-world problems that can be represented and manipulated in a computer. Sometimes the process of abstraction is simple. For example‚ we use a logic to design a computer circuits. Another example - scheduling
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CHAPTER 4 : FUNCTIONS AND THEIR GRAPHS 4.1 Definition of Function A function from one set X to another set Y is a rule that assigns each element in X to one element in Y. 4.1.1 Notation If f denotes a function from X to Y‚ we write 4.1.2 Domain and range X is known as the domain of f and Y the range of f. (Note that domain and range are sets.) 4.1.3 Object and image If and ‚ then x and y are known respectively as the objects and images of f. We can write ‚ ‚ . We can represent
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Trenerry §5 Graph Theory Loosely speaking‚ a graph is a set of dots and dot-connecting lines. The dots are called vertices and the lines are called edges. Formally‚ a (finite) graph G consists of A finite set V whose elements are called the vertices of G; A finite set E whose elements are called the edges of G; A function that assigns to each edge e ∈ E an unordered pair of vertices called the endpoints of e. This function is called the edge-endpoint function. Note that these graphs are not related
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