'Dependencies' diaporamas de présentation

Chapter 7: Relational Database Design

Chapter 7: Relational Database Design. Chapter 7: Relational Database Design. First Normal Form Pitfalls in Relational Database Design Functional Dependencies Decomposition Boyce-Codd Normal Form Third Normal Form Multivalued Dependencies and Fourth Normal Form

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CHAPTER 15 Relational Database Design Algorithms and Further Dependencies

CHAPTER 15 Relational Database Design Algorithms and Further Dependencies. Chapter Outline. 1. Further topics in Functional Dependencies 1.1 Inference Rules for FDs 1.2 Equivalence of Sets of FDs 1.3 Minimal Sets of FDs 2. Properties of Relational Decompositions

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CHAPTER 15 Relational Database Design Algorithms and Further Dependencies

CHAPTER 15 Relational Database Design Algorithms and Further Dependencies. Chapter Outline. 1. Further topics in Functional Dependencies 1.1 Inference Rules for FDs 1.2 Equivalence of Sets of FDs 1.3 Minimal Sets of FDs 2. Properties of Relational Decompositions

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More Proofs

More Proofs. review. The Rule of Assumption: A. Assumption is the easiest rule to learn. It says at any stage in the derivation, we may write down any WFF we want to. That WFF only depends on itself. . &-Elimination: &E. &E is also a very easy-to-learn rule.

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More Proofs

More Proofs. review. The Rule of Assumption: A. Assumption is the easiest rule to learn. It says at any stage in the derivation, we may write down any WFF we want to. That WFF only depends on itself. . &-Elimination: &E. &E is also a very easy-to-learn rule.

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Probabilistic Robotics

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Advanced topics in meta-analysis

Advanced topics in meta-analysis. Wim Van den Noortgate Katholieke Universiteit Leuven, Belgium Belgian Campbell Group Wim.VandenNoortgate @ kuleuven-kortrijk.be Workshop systematic reviews Leuven June 4 -6, 2012. Content. Modelling heterogeneity Publication bias.

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Chapter 7 Normalisation

Chapter 7 Normalisation. Database Tables and Normalization. Normalization Process for evaluating and correcting table structures to minimize data redundancies Reduces data anomalies Works through a series of stages called normal forms: First normal form (1NF) Second normal form (2NF)

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Operations Management

Operations Management. Unit 5 Project Management HL ONLY. Learning Objectives. Construct and interpret a network diagram Analyse how critical path analysis (CPA) and network diagrams can be used to help with project management Apply CPA to different projects

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Coordination Breakdown and Their Impact on Development Productivity and Software Failures

Submitted to Professor Shervin Shirmohammadi in partial fulfillment of the requirements for the course ELG 5100 B y Sri Vijay Bharat Peddi (7475608) & Pallavi Kuhad (7475804). Coordination Breakdown and Their Impact on Development Productivity and Software Failures. Outline. 1. 2.

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Reasoning Under Uncertainty: More on BNets structure and construction

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Normalization

Normalization. Why Normalization?. To remove potential redundancy in design Redundancy causes several anomalies : insert, delete and update Redundancy wastes storage, and often slows down query processing Examples to follow next. What is Normalization?.

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Pipelining

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What is make ?

What is make ?. make is a system utility for managing the build process (compilation/linking/ etc ). There are various versions of make ; these notes discuss the GNU make utility included on Linux systems. As the GNU Make manual* says:.

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PROJECT MANAGEMENT

PROJECT MANAGEMENT. Facilitated by NGUYEN MINH HANH Country Coordinator, WUSC. Objectives. Understand the difference between a project and project management Develop a working knowledge of how to properly scope a project for success Schedule project activities using a Gantt chart.

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Baseline Logic

Baseline Logic. Definition of Text Schemata A set of slots Relationships among them Automatic cueing Driving schemata each component sets the stage for the next some components are shared features of the component trigger an expectation for the next component. A proposal Example.

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Managing dependencies in the Extended Enterprise

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Lecture 18 of 42

Lecture 18 of 42. More Normal Forms Notes: JSP, MP4; Applications of Normalization. Monday, 13 October 2008 William H. Hsu Department of Computing and Information Sciences, KSU KSOL course page: http://snipurl.com/va60 Course web site: http://www.kddresearch.org/Courses/Fall-2008/CIS560

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CMS BDII usage

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Quantifying the effect of ambient cloud on clear-sky ocean brightness temperatures and SSTs

Quantifying the effect of ambient cloud on clear-sky ocean brightness temperatures and SSTs Korak Saha 1,2 , Alexander Ignatov 1 , and XingMing Liang 1,2 1 NOAA/NESDIS/STAR; 2 Colorado State University, CIRA. Center Clear-sky Pixel. 100 Km. Clear sky ocean pixel Cloudy ocean pixel.

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