'Different variables' diaporamas de présentation

Experimental Design and Graphical Analysis of Data

Experimental Design and Graphical Analysis of Data. Rex P. Rice-2000; edited M. Schober 2002; questions by K. LaFever, 2009. Independent & Dependent Variables.

1.03k views • 80 slides

Introduction to SMV

Introduction to SMV. Symbolic Model Verifier. Ken McMillan, Symbolic Model Checking: An Approach to the State Explosion Problem , 1993. Finite-state Systems described in a specialized language Specifications given as CTL formulas Internal representation using OBDDs

579 views • 47 slides

Selection Control Structures

Selection Control Structures. Objectives. In this chapter you will be able to: Elaborate on the uses of simple selection, multiple selection, and nested selection in algorithms Introduce the case construct in pseudocode Develop algorithms using variations of the selection control structure.

1.69k views • 41 slides

Chapter 5: Clustering

Chapter 5: Clustering. Searching for groups. Clustering is unsupervised or undirected. Unlike classification, in clustering, no pre-classified data. Search for groups or clusters of data points (records) that are similar to one another.

621 views • 40 slides

Brutus

Brutus . Part I: An Architecture for Automatic Story Generation. Overview. Automatic Story Generators: What makes a good one. Previous Architectures The Brutus Architecture Conceptual Introduction to FLEX The Knowledge Level The Process Level. Interesting Story?.

796 views • 39 slides

Descriptive Research Techniques

2.64k views • 30 slides

Correlation and Least Squares

Correlation and Least Squares. Exploring the relationship between two numerical variables. Preview of Remainder of Course. So far we have: Discussed sampling methods and study designs Talked about inference for proportions Talked about inferences for means

569 views • 30 slides

Class and Method Definitions

Class and Method Definitions. UML Class Diagram. Class Files and Separate Compilation. Each Java class definition should be in a file by itself. The name of the file should be the same as the name of the class, and the file name should end in .java .

411 views • 30 slides

Artificial Intelligence Chapter 16 Resolution in the Predicate Calculus

Artificial Intelligence Chapter 16 Resolution in the Predicate Calculus. Biointelligence Lab School of Computer Sci. & Eng. Seoul National University. Outline. Unification Predicate-Calculus Resolution Completeness and Soundness Converting Arbitrary wffs to Clause Form

497 views • 25 slides

Artificial Intelligence Chapter 16 Resolution in the Predicate Calculus

Artificial Intelligence Chapter 16 Resolution in the Predicate Calculus. Biointelligence Lab School of Computer Sci. & Eng. Seoul National University. Outline. Unification Predicate-Calculus Resolution Completeness and Soundness Converting Arbitrary wffs to Clause Form

372 views • 25 slides

Arrays

Arrays. Part 9 dbg. Arrays. An array is a fixed number of contiguous memory locations, all containing data of the same type, identified by one variable name. Refer to a particular location by specifying the name of the array and the index (position number) of the location.

406 views • 23 slides

Economic Development Experts versus Economics:

Economic Development Experts versus Economics:. the example of industrial policy . World Bank Monday September 14, 2009 William Easterly (NYU and NBER). Outline: 2 Negatives on Development Experts & 1 Positive on Economics. Negative: The failure of the empirical growth literature

242 views • 22 slides

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ALGEBRA TILES

402 views • 16 slides

Monomials

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Monomials

366 views • 13 slides

Monomials

384 views • 13 slides

Chapter 2&3 - Customer & Competitor Analysis Customer Analysis Segmentation analysis Motivation analysis Explora

Chapter 2&3 - Customer & Competitor Analysis Customer Analysis Segmentation analysis Motivation analysis Exploration of unmet needs Competitor Analysis Identification of competitors Understanding the competitors A basic set of questions for the analysis

135 views • 8 slides

Choice Chamber Experiment

Choice Chamber Experiment. Objective. To plan an experiment that shows what environmental conditions woodlice prefer. Where can you find woodlice?. What conditions do woodlice prefer? Can you list these different variables and the values?. LIGHT. DARK. DRY. DAMP. Outcomes.

560 views • 7 slides

112 views • 1 slides