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计算机软件技术基础:《Visual Basic6.0 程序设计》课程教学资源(PPT课件)第1章 Visual Basic(VB)概述
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 The Visual System ▪ Physiology ▪ Ametropias  Ophthalmic Lenses ▪ Properties of Light ▪ UV, Visible, and Infrared Spectrums ▪ Reflection, Refraction, & Absorption ▪ Aberrations ▪ Lens Designs ▪ Fitting  Basic Optical Formulas
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How to construct various control charts Which control charts to use for a particular type of data How to measure the capability of a process The basic themes of quality management and Deming’s 14 points The basic aspects of Six Sigma
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Basic probability concepts  Sample spaces and events, simple probability, joint probability Conditional probability  Statistical independence, marginal probability Bayes’s Theorem
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§11.2 The valence bond theory of coordination compounds §11.3 Crystal Field Theoryof coordination compound §11.1 Basic concepts of coordination compounds §*11.5 Further discussion on coordination §11.4 Stability of coordination compounds
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▪ Overview of The SQL Query Language ▪ SQL Data Definition ▪ Basic Query Structure of SQL Queries ▪ Additional Basic Operations ▪ Set Operations ▪ Null Values ▪ Aggregate Functions ▪ Nested Subqueries ▪ Modification of the Database
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Introduction Some basic concepts Basic step of statistical work Review questions and exercises
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1.1 The failures of classical physics 1.2 The characteristic of the motion of microscopic particles 1.3 The basic assumptions (postulates) of quantum mechanics 1.4 Solution of free particle in a box - a simple application of Quantum Mechanics
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Functional Language and MapReduce MapReduce Basic MapReduce Algorithm Design Hadoop and Java Practice
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1 Introduction 1.1 GUI and Basic functions 1.1.1 Command Window 1.1.2 Command History 1.1.3 MatLab Help 2 Data in MatLab 2.1 Manipulating data 2.1.1 Creating Objects 2.1.2 Operators 3 Graphics 3.1 Use plotting tools 3.2 Use the command interface 3.2.1 Basic plots 3.2.2 Adding Plots to an Existing Graph 3.2.3 Multiple Plots in One Figure 3.2.4 Controlling the Axes 3.2.5 Axis Labels and Titles 3.3 Mesh and Surface Plots 3.4 Creating Specialized Plots 3.5 Advanced plotting
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