Syllabus of the Decision Support System Character Objective and requirement (- Character and Objective This course is for graduate students majoring in economic information management of enterprise management and in management science and engineering. It introduce students the knowledge of Operational Research and Decision Support System. By studying this curriculum, students are able to build the mathematical models of most kinds in business decision and economic decision area, and understand the concepts and methods of DSs, as well as develop the DSS software. The study of this course can help them planning and developing related decision support system for their business activities in the future (= The ways of teaching This course combines classroom teaching and practicing on compute together. With the classroom teaching, students learn and understand the concepts, With the practicing, they really have ability to know how to build the mathematical models and develop related dss Contents and assignment of Teaching hours (一) Contents Chapter 1. Introduction 1. 1 Mathematical Models 1.2 Methods of Analysis 1.3 Monetary Values 1. 4 Growth and decay Chapter 2. Linear Programming 2. 1 Integer Programming 2.2 The Simplex Method Chapter 3. Route Scheduling 3. 1 Minimal Spanning Trees 3.2 The Travelling Salesman Probl 3. 3 Shortest Route Problems 3.4 Computer Program Chapter 4 Coordinating and Sequencing 4. 1 Critical Path analysis 4.2 Float Times 4.3 Drawing Networks 4.4 Project Evaluation and Review Technique(PERT) 4.5 Grant Charts 4.6 Production Sequencing 4.7 The Assignment Problem Chapter 5 The conception of Decision Support System(DSS
Syllabus of the Decision Support System 一.Character、 Objective and Requirement （一）Character and Objective This course is for graduate students majoring in economic information management of enterprise management and in management science and engineering. It introduce students the knowledge of Operational Research and Decision Support System. By studying this curriculum, students are able to build the mathematical models of most kinds in business decision and economic decision area, and understand the concepts and methods of DSS, as well as develop the DSS software. The study of this course can help them planning and developing related decision support system for their business activities in the future. （二）The ways of teaching This course combines classroom teaching and practicing on computer together. With the classroom teaching, students learn and understand the concepts; With the practicing, they really have ability to know how to build the mathematical models and develop related DSS. 二．Contents and Assignment of Teaching Hours （一） Contents Chapter 1. Introduction 1.1 Mathematical Models 1.2 Methods of Analysis 1.3 Monetary Values 1.4 Growth and Decay Chapter 2. Linear Programming 2.1 Integer Programming 2.2 The Simplex Method Chapter 3. Route Scheduling 3.1 Minimal Spanning Trees 3.2 The Travelling Salesman Problem 3.3 Shortest Route Problems 3.4 Computer Program Chapter 4 Coordinating and Sequencing 4.1 Critical Path Analysis 4.2 Float Times 4.3 Drawing Networks 4.4 Project Evaluation and Review Technique(PERT) 4.5 Grantt Charts 4.6 Production Sequencing 4.7 The Assignment Problem Chapter 5 The conception of Decision Support System(DSS)
5. 1 The history and development of DSs 5.2 The theoretic basis of dss 5. 3 Relationship between DSS and other related technologies 5.4 The new generation of DSs 5.5 The Assignment Problem Chapter 6 The architecture of DSs 6.1 The basic elements of dss 6.2 The requirement for structuring of Dss 6. 3 The general architecture of DSS 6. 4 The analyze of DSS's architecture 6.5 The Assignment Problem Chapter 7 The Model Base and Model Base Management System 7. 1 The conception of model and model base 7. 2 The technology of model generation 7.3 The The technology of model management 7.4 The method of intelligent management for models Chapter 8 The key technologies for DSS 8. 1 Model base, data base and knowledge base 8.2 Interaction of human and machine 8.3 problem solving mechanism 8. 4 analyze of decision results (=)Assignment of Teaching hours Chapter Contents Hours Introduct Linear programmin 2345 Route scheduling Coordinating and sequencing 263554 6 DSS conception and architecture Models and model base 9 Designing and developing for DSS (Topics Hours For Practicing on Computer Topic 1: the mathematical models of OR opic 2: Decision making on Commerce =. Teaching Material Reference books (-)Teaching Material 1, Operational Research, SS.Cohen 2, Decision Support System, Scott Morton (二) Reference books 1、《运筹学模型与方法教程》,程理民等编著 2、《决策支持系统(DSS)理论方法.案例》,髙洪深著
5.1 The history and development of DSS 5.2 The theoretic basis of DSS 5.3 Relationship between DSS and other related technologies 5.4 The new generation of DSS 5.5 The Assignment Problem Chapter 6 The architecture of DSS 6.1 The basic elements of DSS 6.2 The requirement for structuring of DSS 6.3 The general architecture of DSS 6.4 The analyze of DSS’s architecture 6.5 The Assignment Problem Chapter 7 The Model Base and Model Base Management System 7.1 The conception of model and model base 7.2 The technology of model generation 7.3 The The technology of model management 7.4 The method of intelligent management for models Chapter 8 The key technologies for DSS 8.1 Model base, data base and knowledge base 8.2 Interaction of human and machine 8.3 problem solving mechanism 8.4 analyze of decision results （二）Assignment of Teaching Hours Chapter Contents Hours 1 Introduction 2 2 Linear Programming 6 3 Transportation 3 4 Route Scheduling 5 5 Coordinating and Sequencing 5 6 DSS conception and architecture 4 7 Models and model base 5 8 The key technologies of DSS 6 9 Designing and developing for DSS 6 (三)Topics & Hours For Practicing on Computer Topic 1: the mathematical models of OR 6 Topic 2: Decision making on Commerce 6 三．Teaching Material & Reference Books （一） Teaching Material 1、Operational Research, S.S.Cohen 2、Decision Support System, Scott Morton （二） Reference Books 1、《运筹学模型与方法教程》，程理民等编著 2、《决策支持系统（DSS）理论.方法.案例》，高洪深著