◼ Cluster Analysis: Basic Concepts ◼ Partitioning Methods ◼ Hierarchical Methods ◼ Density-Based Methods ◼ Grid-Based Methods ◼ Evaluation of Clustering ◼ Summary

◼ Classification: Basic Concepts ◼ Decision Tree Induction ◼ Bayes Classification Methods ◼ Rule-Based Classification ◼ Model Evaluation and Selection ◼ Summary

◼ Basic Concepts ◼ Frequent Itemset Mining Methods ◼ Which Patterns Are Interesting?—Pattern Evaluation Methods ◼ Summary

核受体与临床疾病发病与治疗 ◼ 神经系统疾病 ◼ 神经退行性变,慢性炎症(PPARΥ),疼痛,抑郁症、阿尔茨海默病(ER) ◼ 代谢性疾病 ◼ II型糖尿病、高脂血症、肥胖、高血压、脂肪肝、肿瘤、炎症（免疫）性疾病、水盐电解质代谢紊乱等 ◼ 血液系统疾病 ◼ 白血病(RXR,ER) ◼ Nuclear Receptor Pathway ◼ Hotspot in NRs research ◼ Basic Medicine (case I) ◼ Translational Medicine (case II) ◼ Applied Basic Research (case III) Hotspot in Gene Expression Regulation of Nuclear Receptors ➢乳腺癌治疗抵抗新机制的研究 ➢寻找乳腺癌治疗抵抗新策略

Introduce Network Representation with Signal Flow-Graph Basic IIR System Structures Basic FIR System Structures Linear Phase Structures Frequency Sample

Guangdong Instltute of Textile Technolegy Justification Textile materials are the basic materials. It is crucial to establish a basic understanding of the science governing the behavior of these materials. The course is taught in a bilingual system such that the students will have an opportunity to enhance their English ability while learning the key knowledge in textiles

1.The Significance of Nuclear Technology 2.Early Discoveries 3.Basic Facts and Definitions 4.Units SI system, Physical constants, natural unit 5.Nuclear Reactions

Basic Reports Where does money come from? Where does money go?

第一章 Visual Basic程序设计概述 第二章VB简单的程序设计 第三章语言基础 第四章基本的控制结构 第五章数组 第六章过程 第七章常用控件 第八章界面设计

6.1 Understand the applications of prescriptive analytics techniques in combination with reporting and predictive analytics 6.2 Understand the basic concepts of analytical decision modeling 6.3 Understand the concepts of analytical models for selected decision problems, including linear programming and simulation models for decision support 6.4 Describe how spreadsheets can be used for analytical modeling and solutions 6.5 Explain the basic concepts of optimization and when to use them 6.6 Describe how to structure a linear programming model 6.7 Explain what is meant by sensitivity analysis, what-if analysis, and goal seeking 6.8 Understand the concepts and applications of different types of simulation 6.9 Understand potential applications of discrete event simulation