'Whose value' presentation slideshows

Python Programming: An Introduction to Computer Science

Python Programming: An Introduction to Computer Science. Chapter 7 Decision Structures. Objectives. To understand the programming pattern simple decision and its implementation using a Python if statement.

1.23k views • 85 slides

Orthodox Monetarism

Orthodox Monetarism. Intermediate Macroeconomics ECON-305 Spring 2013 Professor Dalton Boise State University. Purposes. Trace the historical development of modern Monetarism beginning in the 1950s Demand for money Impact of changes in money supply Augmented Phillips Curve

716 views • 45 slides

Chapter 4: Variables, Constants, and Arithmetic Operators

Chapter 4: Variables, Constants, and Arithmetic Operators. Introduction to Programming with C++ Fourth Edition . Objectives. Distinguish among a variable, a named constant, and a literal constant Select an appropriate name, data type, and initial value for a memory location

671 views • 39 slides

Mechanical Waves

Mechanical Waves. Chapter 16. Expectations. After this chapter, students will: know what a mechanical wave is. distinguish between transverse and longitudinal waves. know how wavelength, period, and velocity are related for periodic waves.

699 views • 33 slides

Takeshi Shibuya University of Tsukuba shibuya@iit.tsukuba.ac.jp

A fundamental study on representation of reward for reinforcement learning in dynamic environments. + an introduction of rescue simulation. Takeshi Shibuya University of Tsukuba shibuya@iit.tsukuba.ac.jp. Outline. Reinforcement learning A interactive learning framework in soft computing

444 views • 24 slides

Chapter 10.4-10.8: Vectors, AC & L/C Behaviour

Chapter 10.4-10.8: Vectors, AC & L/C Behaviour. Vectors: The Basics. Vectors always have two key components: Direction Magnitude Vectors are often used to: Describe forces since forces have both direction and magnitude Define mathematical planes. Vectors: Anatomy.

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Chapter 3. Vector

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Mathematics and ICT

Mathematics and ICT. National Numeracy Strategy National Curriculum for Mathematics. National Numeracy Strategy. emphasis on mental mathematics building a network of understanding by making connections between existing ideas importance of discussion of mathematical ideas.

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Folders

Folders. Put loose leaf paper in folder This is where you will put bell ringers ( D aily Science). Notebook Set up. Place your syllabus as a flap on the inside front cover of your notebook. Be sure your remind code is filled out. Notebook Set up.

289 views • 20 slides

Chapter 4

Chapter 4. The enhanced ER model and business rules. Evolution of the E-R Model. Basic E-R Model nearly 25 years old complex data relationships and new database technology have outgrown it in some respects Enhanced E-R Model a response to the shortcomings of the basic E-R model

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Section 7.1 Discrete and Continuous Random Variables

Section 7.1 Discrete and Continuous Random Variables. AP Statistics www.toddfadoir.com/apstats. Random Variables. A random variable is a variable whose value is a numerical outcome of a random phenomenon.

801 views • 15 slides

Constants Lesson Outline

Constants Lesson Outline. Why Literal Constants Are BAD BAD BAD 1997 Tax Program with Numeric Literal Constants 1999 Tax Program with Numeric Literal Constants Why Named Constants Are Good 1997 Tax Program with Named Constants 1999 Tax Program with Named Constants. Constants Lesson Outline

374 views • 15 slides

Financial Derivatives

Financial Derivatives. Chapter 13 Week 2. Definition. A derivative is a financial instrument whose value depends on (or derives from) the value of another instrument (the underlying). Example: the value of a stock option depends on the value of the underlying stock.

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Chapter 7 Day 1

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Mid Range Concepts

Mid Range Concepts. Chapter 11 Logical Files. Defining Keys. File Access: Direct Access : the storage device can go directly to the location and read the information stored there. Primary Key: Field whose value is unique for each record.

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Chapter 7 discrete and random variables

Chapter 7 discrete and random variables. Random variable- variable whose value is a numbered outcome of a random phenomenon ex: let x= #of heads in 4 flips of a coin outcome: tthh x=2. General rules for probability . 1. The p(a) of any event satisfies 0<=p(a)>=1. 2. Sample space must=1

245 views • 8 slides

Federal Railroad Administration

Federal Railroad Administration. Karen McClure, Economist. karen.mcclure@dot.gov. Southeastern. Cargo Oriented Development.

267 views • 7 slides

Lesson 3 ~ Coin Problems

Example 83.3. Example 83.2. Lesson 3 ~ Coin Problems. Note. Example 83.1. Note.

336 views • 5 slides