东北大学：某学院应用统计学专业《量化管理导论》课程教学大纲

量化管理导论教学大纲Introduction toQuantitativeSubject SyllabusManagement一、课程信息SubjectInformation课程编号：开课学期：13100313005Subject IDSemester课程分类：所属课群：学科基础类SectionCategory课程学分：总学时/周：116Credit PointsTotal Hours/Weeks理论学时：实验学时：124LECT.HoursEXP. Hours实践学时/周：PBL学时：00PBL HoursPRAC. Hours/Weeks开课学院：东北大学适用专业：应用统计学ASCollegeStream悉尼智能科技学院课程属性：课程模式：必修Compulsory互认EQVModePattern中方课程协调人张建波成绩记载方式：百分制MarksNEU CoordinatorJianbo ZhangResult Type先修课程：数学分析与建模Requisites英文参考教材：W L Winston, Operations Research: Applications and Algorithms, 4thEN Textbooksedition, Thomson Learning Inc中文参考教材：运筹学：应用范例与解法第4版（美）温斯顿著，杨振凯等译清CN Textbooks华大学出版社数据、模型与决策，（第12版）伯纳德W泰勒著，侯文华，杨静教学资源蕾译中国人民大学出版社ResourcesINTRODUCTION TO MANAGEMENT SCIENCE (Bermard WTaylor)于艳辉课程负责人(撰写人)：提交日期：单击或点击此处输Yanhui YuSubject DirectorSubmitted Date入日期。于艳辉赵铁宇张建波任课教师(含负责人)：Taught byYanhui Yu, Tieyu Zhao, Jianbo Zhang审核人：批准人：韩鹏史闻博Checked byApproved by批准日期：单击或点击此处输入日期。Approved Date1 / 12

1 / 12 量化管理导论 教学大纲 Subject Syllabus Introduction to Quantitative Management 一、课程信息 Subject Information 课程编号: Subject ID 3100313005 开课学期: Semester 1 课程分类: Category 所属课群: Section 学科基础类 课程学分: Credit Points 1 总学时/周: Total Hours/Weeks 16 理论学时: LECT. Hours 12 实验学时: EXP. Hours 4 PBL 学时: PBL Hours 0 实践学时/周: PRAC. Hours/Weeks 0 开课学院: College 东北大学 悉尼智能科技学院 适用专业: Stream 应用统计学 AS 课程属性: Pattern 必修 Compulsory 课程模式: Mode 互认 EQV 中方课程协调人: NEU Coordinator 张建波 Jianbo Zhang 成绩记载方式: Result Type 百分制 Marks 先修课程: Requisites 数学分析与建模 英文参考教材: EN Textbooks W L Winston, Operations Research: Applications and Algorithms, 4th edition, Thomson Learning Inc 中文参考教材: CN Textbooks 运筹学:应用范例与解法.第 4 版（美）温斯顿 著，杨振凯 等译 清 华大学出版社 教学资源: Resources 数据、模型与决策. （第 12 版）伯纳德 W 泰勒著，侯文华，杨静 蕾译 中国人民大学出版社 INTRODUCTION TO MANAGEMENT SCIENCE (Bernard W. Taylor) 课程负责人(撰写人): Subject Director 于艳辉 Yanhui Yu 提交日期: Submitted Date 单击或点击此处输 入日期。 任课教师(含负责人): Taught by 于艳辉 赵铁宇 张建波 Yanhui Yu, Tieyu Zhao, Jianbo Zhang 审核人: Checked by 韩鹏 批准人: Approved by 史闻博 批准日期: Approved Date 单击或点击此处输 入日期

二、教学目标SubjectLearningObjectives(SLOs)注：毕业要求及指标点可参照悉尼学院本科生培养方案，可根据实际情况增减行数Note: GA and index can be referred from undergraduate program in SSTC website. Please add/reduce lines based on subject量化管理导论是研究对人力、物力进行合理筹划和运用，寻找管理及决策最优化的综合性学科，是应用统计学专业的必修课。为此，本课程主要学习线性规划、运输问题、整数规划、多阶段决策过程、非线性规划以及非确定决策问题，注重培养、提高学生在分析实际问题、解决实际问题，从而进一步建立数学模型的能力。相关数学软件的学习也是本门课程的学习重点，学生将理论问题与上机操作结合在一起，从而完成理论建模与利用软件计算得到结果的完整解题过程。Introduction to quantitative managementis a comprehensive subjectthat studies the rational planning and application of human and materialresources, and seeks the optimization of management and整体目标：decision-making. It is a required course for Applied Statistics.Overall ObjectiveTherefore,this course mainly studieslinearprogrammingtransportationproblems,multi-stageintegerprogramming，decision-making process problems, non-linear programming problemsand uncertain decision-making problems. It focuses on training andimproving students'abilitytoanalyzeand solvepractical problems,soas to further establish mathematical models.The learning of relevant mathematical software is also thefocus of thiscourse.Studentscombinetheoreticalproblemswithcomputeroperation, so as to complete the complete process of theoreticalmodelingand softwarecalculation掌握线性规划、运输问题、整数规划、多阶段决策过程问题、非线性规划问题以及非确定决策问题的运筹学模型，包括模型条件、结构特点、建模的基本方法步骤和应用范畴等。Master the operational research models of linear programming,1-1transportation problems, integer programming, multi-stagedecision-making process problems, nonlinear programmingproblems and uncertain decision-making problems,includingmodel conditions, structural characteristics, basic method stepsand application scope.（1）专业目标：通过对具体方法与模型的学习，认识运筹学在经营管理决策Professional Ability中作为提高决策水平的方法和工具的作用。了解其它相关的经营管理数量方法与模型以及发展方向。Through the study of specific methods and models, we can1-2understand the role of operational research as a method andtooltoimprove the level of decision-makingin businessmanagementdecision-making.Understandother relatedquantitativemethodsandmodelsofoperationandmanagementanddevelopmentdirection1-3以实际应用，提高学生分析问题、解决问题的科学素养。2 / 12

2 / 12 二、教学目标 Subject Learning Objectives (SLOs) 注：毕业要求及指标点可参照悉尼学院本科生培养方案，可根据实际情况增减行数 Note: GA and index can be referred from undergraduate program in SSTC website. Please add/reduce lines based on subject. 整体目标: Overall Objective 量化管理导论是研究对人力、物力进行合理筹划和运用，寻找管理 及决策最优化的综合性学科，是应用统计学专业的必修课。 为此，本课程主要学习线性规划、运输问题、整数规划、多阶段决 策过程、非线性规划以及非确定决策问题，注重培养、提高学生在 分析实际问题、解决实际问题，从而进一步建立数学模型的能力。 相关数学软件的学习也是本门课程的学习重点，学生将理论问题与 上机操作结合在一起，从而完成理论建模与利用软件计算得到结果 的完整解题过程。 Introduction to quantitative management is a comprehensive subject that studies the rational planning and application of human and material resources, and seeks the optimization of management and decision-making. It is a required course for Applied Statistics. Therefore, this course mainly studies linear programming, transportation problems, integer programming, multi-stage decision-making process problems, non-linear programming problems and uncertain decision-making problems. It focuses on training and improving students' ability to analyze and solve practical problems, so as to further establish mathematical models. The learning of relevant mathematical software is also the focus of this course. Students combine theoretical problems with computer operation, so as to complete the complete process of theoretical modeling and software calculation. （1）专业目标: Professional Ability 1-1 掌握线性规划、运输问题、整数规划、多阶段决策过程问题、 非线性规划问题以及非确定决策问题的运筹学模型，包括模 型条件、结构特点、建模的基本方法步骤和应用范畴等。 Master the operational research models of linear programming, transportation problems, integer programming, multi-stage decision-making process problems, nonlinear programming problems and uncertain decision-making problems, including model conditions, structural characteristics, basic method steps and application scope. 1-2 通过对具体方法与模型的学习，认识运筹学在经营管理决策 中作为提高决策水平的方法和工具的作用。了解其它相关的 经营管理数量方法与模型以及发展方向。 Through the study of specific methods and models, we can understand the role of operational research as a method and tool to improve the level of decision-making in business management decision-making. Understand other related quantitative methods and models of operation and management and development direction. 1-3 以实际应用，提高学生分析问题、解决问题的科学素养

With practical application, improve students' scientific literacyof analyzing and solving problems掌握相关的数学软件，并会利用其求解数学模型。1-4Master therelevantmathematical software,and use it to solvethemathematical model了解我国历史上的量化管理思想，建立文化自信。2-1Understand the operational research thought in the history of（2）德育目标：China and establish cultural confidenceEssential Quality认知量化管理理论可为我国发展建设提供决策指导。2-2Cognitive quantitative management theory can providedecision guidance for China's development and construction课程教学目标与毕业要求的对应关系MatrixofGA&SLOs毕业要求GA指标点GAIndex教学目标SLOs指标点1-1：具有较强的演绎推理能力、准确计算能力、分析归纳能力、抽象思维能力，掌握数学、自然科学和相关专业知识，并使用其建立正确的数学、物理学等模型以解释复杂实际问题。Capable of deductive reasoning,accuratecalculation, analysis and induction andabstract thinking. Establishingcorrect1、理学知识：具有扎实的mathematics,physics modelswith the数学基础，能够将数学、自professional knowledge of mathematics然科学和专业知识用于解决natural science, etc. to solve complex复杂实际问题。practical problemsScience Knowledge:Apply指标点1-2：掌握统计调查、统计数据处1-1,1-2，2-2knowledgeofmathematics,理、统计分析、计算机与统计软件使用natural science, fundamentals等应用统计学的基本理论、知识与方法andan具备采集、处理、分析数据的能力，熟engineeringspecialization to the solution悉预研报告、可行性分析报告、研究方ofcomplexengineering案等文档的撰写规范。problems.Mastery the basic theories, knowledge andmethods of applied statistics, such asstatistical investigation, statistical dataprocessing, statistical analysis, and the useof computers and statistical softwarecapable of data collecting, processing, andanalyzing,familiar withthewriting normsof pre-research reports, feasibility analysisreports, and research plans.2、设计/开发解决方案：能指标点2-1：能够对不同设计方案进行比够设计针对复杂实际问题的较和优化，在工作各环节中具有创新意解决方案，设计满足特定需识和批判意识，善于发现、分析、系统1-3, 1-4求的系统、单元或流程，并表述和解决实际问题。能够在设计环节中体现创新Capableof comparingandoptimizing3/12

3 / 12 With practical application, improve students' scientific literacy of analyzing and solving problems. 1-4 掌握相关的数学软件，并会利用其求解数学模型。 Master the relevant mathematical software, and use it to solve the mathematical model. （2）德育目标: Essential Quality 2-1 了解我国历史上的量化管理思想，建立文化自信。 Understand the operational research thought in the history of China and establish cultural confidence 2-2 认知量化管理理论可为我国发展建设提供决策指导。 Cognitive quantitative management theory can provide decision guidance for China's development and construction. 课程教学目标与毕业要求的对应关系 Matrix of GA & SLOs 毕业要求 GA 指标点 GA Index 教学目标 SLOs 1、理学知识： 具有扎实的 数学基础，能够将数学、自 然科学和专业知识用于解决 复杂实际问题。 Science Knowledge: Apply knowledge of mathematics, natural science, fundamentals and an engineering specialization to the solution of complex engineering problems. 指标点 1-1：具有较强的演绎推理能力、 准确计算能力、分析归纳能力、抽象思 维能力，掌握数学、自然科学和相关专 业知识，并使用其建立正确的数学、物 理学等模型以解释复杂实际问题。 Capable of deductive reasoning, accurate calculation, analysis and induction and abstract thinking. Establishing correct mathematics, physics models with the professional knowledge of mathematics, natural science, etc. to solve complex practical problems. 1-1，1-2，2-2 指标点 1-2：掌握统计调查、统计数据处 理、统计分析、 计算机与统计软件使用 等应用统计学的基本理论、知识与方法， 具备采集、处理、分析数据的能力， 熟 悉预研报告、可行性分析报告、研究方 案等文档的撰写规范。 Mastery the basic theories, knowledge and methods of applied statistics, such as statistical investigation, statistical data processing, statistical analysis, and the use of computers and statistical software; capable of data collecting, processing, and analyzing; familiar with the writing norms of pre-research reports, feasibility analysis reports, and research plans. 2、设计/开发解决方案： 能 够设计针对复杂实际问题的 解决方案，设计满足特定需 求的系统、单元或流程，并 能够在设计环节中体现创新 指标点 2-1：能够对不同设计方案进行比 较和优化，在工作各环节中具有创新意 识和批判意识，善于发现、分析、系统 表述和解决实际问题。 Capable of comparing and optimizing 1-3，1-4

意识，考虑社会、健康、安differentdesign schemes,havingasenseof全、法律、文化以及环境等innovation and criticism inall aspectsof因素。work,and begood at discovering,ofDesign/Developmentanalyzing,systematically elaborating andSolutions:Design solutionssolvingpractical problemsforcomplexpractical指标点2-2：能够在设计和开发的各个环problems and design systems,节中综合考虑社会、健康、安全、法律、components or processes that文化以及环境等因素。meet specified needs withAble to comprehensively consider social,1-3，1-4，2-2appropriate consideration forhealth,safety,legal,cultural,andpublic health, and safety,environmental factors in all aspects ofcultural,andsocietaldesign and development.environmental considerations.指标点3-1：能够结合本专业知识对实验数据进行分析与解释，设计并优化实验3、研究：能够基于科学原理方案，并通过信息综合得到合理有效的并采用科学方法对复杂工程结论。问题进行研究，包括设计实Capable of analyzing and interpreting the验、分析与解释数据、并通experimentaldata,anddesigning过信息综合得到合理有效的optimizing the experimental schemer with结论。the knowledge of this stream,reasonableConductInvestigation:and effective conclusions are obtainedcomplex1-4，2-1,2-2investigationsofthrough information synthesis.problems using research based指标点3-2：能够追踪国际前沿技术动knowledgeandresearch态，掌握本专业涉及的重要技术指标以methods including design of及达到指标所需的技术途径。experiments,analysissandCapable of trackingtheinternationalinterpretation of data,andcutting-edge technologytrends, mastery ofsynthesis of information tothe important technical indicators involvedprovide valid conclusions.in the streamandthetechnical approachesrequired to achieve the indicators.三、教学内容Content(Topics)注：以中英文填写，各部分内容的表格可根据实际知识单元数量进行复制、扩展或缩减Note: Flled in both CN and EN, extend or reduce based on the actual numbers of knowledge unit(1)理论教学Lecture知识单元序号：支撑教学目标11-1, 1-2, 1-3, 1-4Knowledge Unit NoSLOs Supported知识单元名称量化管理简介IntroductiontoquantitativemanagementUnit Title释义与发展简史Abriefhistoryofinterpretationanddevelopment知识点：研究的基本方法TheSeven-StepModel-BuildingProcessKnowledge Delivery简单线性规划（LP）模型与实例Modelingexamples4 / 12

4 / 12 意识，考虑社会、健康、安 全、法律、文化以及环境等 因素。 Design/Development of Solutions: Design solutions for complex practical problems and design systems, components or processes that meet specified needs with appropriate consideration for public health, and safety, cultural, societal and environmental considerations. different design schemes, having a sense of innovation and criticism in all aspects of work, and be good at discovering, analyzing, systematically elaborating and solving practical problems. 指标点 2-2：能够在设计和开发的各个环 节中综合考虑社会、健康、安全、法律、 文化以及环境等因素。 Able to comprehensively consider social, health, safety, legal, cultural, and environmental factors in all aspects of design and development. 1-3，1-4，2-2 3、研究：能够基于科学原理 并采用科学方法对复杂工程 问题进行研究，包括设计实 验、分析与解释数据、并通 过信息综合得到合理有效的 结论。 Investigation: Conduct investigations of complex problems using research based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions. 指标点 3-1：能够结合本专业知识对实验 数据进行分析与解释，设计并优化实验 方案，并通过信息综合得到合理有效的 结论。 Capable of analyzing and interpreting the experimental data, designing and optimizing the experimental schemer with the knowledge of this stream; reasonable and effective conclusions are obtained through information synthesis. 1-4，2-1，2-2 指标点 3-2：能够追踪国际前沿技术动 态，掌握本专业涉及的重要技术指标以 及达到指标所需的技术途径。 Capable of tracking the international cutting-edge technology trends; mastery of the important technical indicators involved in the stream and the technical approaches required to achieve the indicators. 三、教学内容 Content (Topics) 注：以中英文填写，各部分内容的表格可根据实际知识单元数量进行复制、扩展或缩减 Note: Filled in both CN and EN, extend or reduce based on the actual numbers of knowledge unit (1) 理论教学 Lecture 知识单元序号: Knowledge Unit No. 1 支撑教学目标: SLOs Supported 1-1，1-2，1-3，1-4 知识单元名称 Unit Title 量化管理简介 Introduction to quantitative management 知识点: Knowledge Delivery 释义与发展简史 A brief history of interpretation and development 研究的基本方法 The Seven-Step Model-Building Process 简单线性规划（LP）模型与实例 Modeling examples

了解:释义与发展简史RecognizeA brief history of interpretation and development学习目标：理解：简单线性规划（LP）模型与实例Learning ObjectivesUnderstandSimple linear programming model and examples掌握：研究的基本方法MasterThe Seven-StepModel-Building Process使学生了解我国古代的量化管理思想，建立民族文化自信：在处理建模的实际问题中，结合环保、能源节约意识等方面。In order to make students understand the quantitative management德育目标thought of ancient China and establish the self-confidence of nationalMoral Objectivesculture, we can combine the education of environmental protection,energy conservation and other aspects in the practical problems ofmodeling.重点：研究的基本方法Key PointsThe Seven-Step Model-Building Process难点：简单线性规划（LP）模型与实例Focal pointsSimple linear programming model and examples知识单元序号支撑教学目标：21-1, 1-2, 1-3, 1-4SLOs SupportedKnowledge Unit No.知识单元名称复杂建模实例，线性规划图解法Unit TitleComplex modeling examples, linear programming graphical method线性规划图解法Thelinearprogramminggraphicalmethod知识点建模实例Linearprogramming:modelingexamplesKnowledge Delivery运输问题Transportation problem了解：运输问题解法SolutionoftransportationproblemRecognize学习目标：理解：建模实例Linearprogramming:modelingexamplesLearning ObjectivesUnderstand掌握：线性规划图解法ThelinearprogramminggraphicalMastermethod结合当前我国运输业的飞速发展，在高铁、桥梁等建设方面取得的非凡成就，提高学生的民族自豪感。德育目标Combined with the rapid development of China's transportationMoral Objectivesindustry,wehavemaderemarkableachievements intheconstruction ofhigh-speedrailwayand bridges to enhanceournational pride重点：线性规划问题的建模Key PointsModeling and solving of linear programming problems难点：运输问题Focal pointsTransportation problem知识单元序号支撑教学目标31-1, 1-2, 1-3, 1-4Knowledge Unit No.SLOs Supported知识单元名称整数规划模型IntegerprogrammingmodelsUnit Title5/12

5 / 12 学习目标: Learning Objectives 了解: Recognize 释义与发展简史 A brief history of interpretation and development 理解: Understand 简单线性规划（LP）模型与实例 Simple linear programming model and examples 掌握: Master 研究的基本方法 The Seven-Step Model-Building Process 德育目标 Moral Objectives 使学生了解我国古代的量化管理思想，建立民族文化自信；在处理 建模的实际问题中，结合环保、能源节约意识等方面。 In order to make students understand the quantitative management thought of ancient China and establish the self-confidence of national culture, we can combine the education of environmental protection, energy conservation and other aspects in the practical problems of modeling. 重点: Key Points 研究的基本方法 The Seven-Step Model-Building Process 难点: Focal points 简单线性规划（LP）模型与实例 Simple linear programming model and examples 知识单元序号: Knowledge Unit No. 2 支撑教学目标: SLOs Supported 1-1，1-2，1-3，1-4 知识单元名称 Unit Title 复杂建模实例，线性规划图解法 Complex modeling examples, linear programming graphical method 知识点: Knowledge Delivery 线性规划图解法 The linear programming graphical method 建模实例 Linear programming: modeling examples 运输问题 Transportation problem 学习目标: Learning Objectives 了解: Recognize 运输问题解法 Solution of transportation problem 理解: Understand 建模实例 Linear programming: modeling examples 掌握: Master 线性规划图解法 The linear programming graphical method 德育目标 Moral Objectives 结合当前我国运输业的飞速发展，在高铁、桥梁等建设方面取得的 非凡成就，提高学生的民族自豪感。 Combined with the rapid development of China's transportation industry, we have made remarkable achievements in the construction of high-speed railway and bridges to enhance our national pride. 重点: Key Points 线性规划问题的建模 Modeling and solving of linear programming problems 难点: Focal points 运输问题 Transportation problem 知识单元序号: Knowledge Unit No. 3 支撑教学目标: SLOs Supported 1-1，1-2，1-3，1-4 知识单元名称 Unit Title 整数规划模型 Integer programming models

纯整数规划模型Pureintegerprogrammingmodel知识点混合整数规划模型MixedintegerprogrammingmodelKnowledge Delivery0-1整数规划模型0-1integerprogrammingmodel了解：整数规划模型的特点RecognizeFeatures of integer programmingmodel学习目标：理解：模型之间的差异和联系UnderstandDifferences and connections between modelsLearning Objectives掌握：模型建立与求解MasterModel establishmentand solution引导大学生信以立志、信以守身、信以处事、信以待人，从身边的事情做起，从具体的事情做起，使他们形成正确的竞争观念，具有助人为乐、团结协作的精神，确立诚信受益的成长方向。We should guide college students to be faithful and determined, tokeep德育目标their body, to handle affairs, and to treat others with faith. We shouldMoral Objectivesstartfromthethings around us and fromthe specificthings,sothatthey canformacorrect conceptofcompetition,havethespirit ofhelpingothers,uniteand cooperate,and establishthegrowth directionof honesty and benefit.重点：掌握整数规划模型的运用Key PointsMaster the use of integer programming models难点：整数规划模型的求解Focal pointsSolution of integer programming model知识单元序号支撑教学目标41-1, 1-2, 1-3, 1-4Knowledge Unit No.SLOs Supported知识单元名称非线性规划模型Non-linearprogrammingmodelsUnit Title非线性规划的数学模型Mathematicalmodel ofnonlinearprogramming知识点：局部极值和全局极值Knowledge DeliveryLocal extremumandglobal extremum凸规划的定义和特点Definition and characteristics of convex programming非线性规划模型与线性规划模型的区别了解:Thedifferencebetween nonlinearprogrammingmodelRecognizeand linearprogrammingmodel学习目标：理解：无约束问题的最优条件Learning ObjectivesUnderstandOptimal conditions for unconstrained problems掌握：模型建立与求解MasterModel establishment and solution使大学生形成良好的个性心理品质，具备社会适应能力、承受挫折能力和情绪调节能力，使他们的心理素质与思想道德素质、科学文德育目标化素质和身体素质全面协调发展，保持对生活的积极状态。Moral ObjectivesToenablecollegestudents to formagoodpersonalityandpsychological quality, have the ability to adapt to the society, the6 /12

6 / 12 知识点: Knowledge Delivery 纯整数规划模型 Pure integer programming model 混合整数规划模型 Mixed integer programming model 0-1 整数规划模型 0-1 integer programming model 学习目标: Learning Objectives 了解: Recognize 整数规划模型的特点 Features of integer programming model 理解: Understand 模型之间的差异和联系 Differences and connections between models 掌握: Master 模型建立与求解 Model establishment and solution 德育目标 Moral Objectives 引导大学生信以立志、信以守身、信以处事、信以待人，从身边的 事情做起，从具体的事情做起，使他们形成正确的竞争观念，具有 助人为乐、团结协作的精神，确立诚信受益的成长方向。 We should guide college students to be faithful and determined, to keep their body, to handle affairs, and to treat others with faith. We should start from the things around us and from the specific things, so that they can form a correct concept of competition, have the spirit of helping others, unite and cooperate, and establish the growth direction of honesty and benefit. 重点: Key Points 掌握整数规划模型的运用 Master the use of integer programming models 难点: Focal points 整数规划模型的求解 Solution of integer programming model 知识单元序号: Knowledge Unit No. 4 支撑教学目标: SLOs Supported 1-1，1-2，1-3，1-4 知识单元名称 Unit Title 非线性规划模型 Non-linear programming models 知识点: Knowledge Delivery 非线性规划的数学模型 Mathematical model of nonlinear programming 局部极值和全局极值 Local extremum and global extremum 凸规划的定义和特点 Definition and characteristics of convex programming 学习目标: Learning Objectives 了解: Recognize 非线性规划模型与线性规划模型的区别 The difference between nonlinear programming model and linear programming model 理解: Understand 无约束问题的最优条件 Optimal conditions for unconstrained problems 掌握: Master 模型建立与求解 Model establishment and solution 德育目标 Moral Objectives 使大学生形成良好的个性心理品质，具备社会适应能力、承受挫折 能力和情绪调节能力，使他们的心理素质与思想道德素质、科学文 化素质和身体素质全面协调发展，保持对生活的积极状态。 To enable college students to form a good personality and psychological quality, have the ability to adapt to the society, the

ability to withstand frustration, and the ability to adjust emotions, sothat their psychological, ideological, moral, scientific, cultural, andphysical quality can develop ina coordinated manner and maintain apositive state of life重点：非线性规划模型的应用Key PointsApplication of nonlinear programming model难点：凸函数、凸规划的定义与判断Focal pointsConvex function, definition and judgment of convex programming知识单元序号：支撑教学目标：51-1, 1-3Knowledge Unit No.SLOs Supported知识单元名称MATLAB软件及其基本使用方法Unit TitleMATLAB and its basic usageMATLAB软件介绍Introduction of MATLAB知识点：数据的表示及运算Knowledge DeliveryThe expression and operation of data矩阵(向量)的生成、修改与基本运算Generation, modification and operation of matrix (vector)了解：MATLAB软件介绍的特点及功能RecognizeMATLAB and its characters and functions理解：数据的表示及运算学习目标：UnderstandThe expression and operation ofdataLearning Objectives矩阵(向量)的生成、修改与基本运算掌握：Generation, modification and operation of matrixMaster(vector)引导学生具有团结合作、共同创新的精神，并提高他们的动手能力。德育目标We should guide students to have the spirit of helping others, unitingMoral Objectivesand cooperation,and improvethem thehands-on ability重点：数据的表示及运算Key PointsThe expression and operation of data难点：矩阵（向量）的生成、修改与基本运算Focal pointsGeneration,modification andoperation ofmatrix (vector)知识单元序号支撑教学目标：61-1, 1-3SLOs SupportedKnowledge Unit No知识单元名称优化问题的MATLAB求解Unit TitleThe solution of optimization problems using MATLAB用MATLAB解决优化问题的一般步骤General steps to solve optimization problems by MATLAB线性规划（一般线性规划、整数规划、O-1规划）问题的MATLAB知识点：求解Knowledge DeliveryThesolutionof linearprogrammingproblems(commonlinearprogramming, integer programming, 0-1 programming) usingMATLAB7/12

7 / 12 ability to withstand frustration, and the ability to adjust emotions, so that their psychological, ideological, moral, scientific, cultural, and physical quality can develop in a coordinated manner and maintain a positive state of life. 重点: Key Points 非线性规划模型的应用 Application of nonlinear programming model 难点: Focal points 凸函数、凸规划的定义与判断 Convex function, definition and judgment of convex programming 知识单元序号: Knowledge Unit No. 5 支撑教学目标: SLOs Supported 1-1，1-3 知识单元名称 Unit Title MATLAB 软件及其基本使用方法 MATLAB and its basic usage 知识点: Knowledge Delivery MATLAB 软件介绍 Introduction of MATLAB 数据的表示及运算 The expression and operation of data 矩阵(向量)的生成、修改与基本运算 Generation, modification and operation of matrix (vector) 学习目标: Learning Objectives 了解: Recognize MATLAB 软件介绍的特点及功能 MATLAB and its characters and functions 理解: Understand 数据的表示及运算 The expression and operation of data 掌握: Master 矩阵(向量)的生成、修改与基本运算 Generation, modification and operation of matrix (vector) 德育目标 Moral Objectives 引导学生具有团结合作、共同创新的精神，并提高他们的动手能力。 We should guide students to have the spirit of helping others, uniting and cooperation, and improve them the hands-on ability. 重点: Key Points 数据的表示及运算 The expression and operation of data 难点: Focal points 矩阵(向量)的生成、修改与基本运算 Generation, modification and operation of matrix (vector) 知识单元序号: Knowledge Unit No. 6 支撑教学目标: SLOs Supported 1-1，1-3 知识单元名称 Unit Title 优化问题的 MATLAB 求解 The solution of optimization problems using MATLAB 知识点: Knowledge Delivery 用 MATLAB 解决优化问题的一般步骤 General steps to solve optimization problems by MATLAB 线性规划 (一般线性规划、整数规划、0-1 规划) 问题的 MATLAB 求解 The solution of linear programming problems (common linear programming, integer programming, 0-1 programming) using MATLAB

非线性规划无约束优化、单/多变量约束优化）问题的MATLAB求解Thesolutionofnonlinearprogrammingproblems(unconstrainedoptimization,univariate/multivariateconstrainedoptimization)usingMATLAB用MATLAB解决优化问题的一般步骤了解：General steps to solve optimization problems byRecognizeMATLAB线性规划（一般线性规划、整数规划、0-1规划）问题的MATLAB求解理解：The solution of linear programming problems (common学习目标Understandlinearprogramming,integerprogramming,0-1LearningObjectivesprogramming)usingMATLAB非线性规划(无约束优化、单/多变量约束优化)问题的MATLAB求解掌握：The solution of nonlinear programming problemsMaster(unconstrained optimization,univariate/multivariateconstrained optimization)usingMATLAB引导学生具有团结合作、共同创新的精神，并提高他们的动手能力。德育目标We should guide students to have the spirit of helping others, unitingMoral Objectivesand cooperation,and improvethemthehands-on ability线性规划（一般线性规划、整数规划、0-1规划）问题的MATLAB求解重点：Thesolutionof linearprogrammingproblems(common linearKey Pointsprogramming, integer programming, 0-1 programming) usingMATLAB非线性规划(无约束优化、单/多变量约束优化)问题的MATLAB求解难点：Thesolutionofnonlinearprogrammingproblems(unconstrainedFocal pointsoptimization, univariate/multivariate constrained optimization)usingMATLAB(2)实验教学Experiments注；可根据实际情况增减行数。实验类型可分为验证性、设计性、综合性，实验性质可分为选做、必做。Note: Please add/reduce lines based on subject. The Type contains Verify, Design, and Comprehensive, while the Pattemcontains Required and Elective序号实验项目名称学时每组人数实验类型实验性质No.HoursMPG*Experiment TopicTypePattern矩阵（向量）的生成、修改、基本运算验证性必做211Generation,modification and basicVerifyElecoperations ofMatrix (vector)8/12

8 / 12 非线性规划(无约束优化、单/多变量约束优化)问题的 MATLAB 求 解 The solution of nonlinear programming problems (unconstrained optimization, univariate / multivariate constrained optimization) using MATLAB 学习目标: Learning Objectives 了解: Recognize 用 MATLAB 解决优化问题的一般步骤 General steps to solve optimization problems by MATLAB 理解: Understand 线性规划 (一般线性规划、整数规划、0-1 规划) 问 题的 MATLAB 求解 The solution of linear programming problems (common linear programming, integer programming, 0-1 programming) using MATLAB 掌握: Master 非线性规划(无约束优化、单/多变量约束优化)问题的 MATLAB 求解 The solution of nonlinear programming problems (unconstrained optimization, univariate / multivariate constrained optimization) using MATLAB 德育目标 Moral Objectives 引导学生具有团结合作、共同创新的精神，并提高他们的动手能力。 We should guide students to have the spirit of helping others, uniting and cooperation, and improve them the hands-on ability. 重点: Key Points 线性规划 (一般线性规划、整数规划、0-1 规划) 问题的 MATLAB 求解 The solution of linear programming problems (common linear programming, integer programming, 0-1 programming) using MATLAB 难点: Focal points 非线性规划(无约束优化、单/多变量约束优化)问题的 MATLAB 求 解 The solution of nonlinear programming problems (unconstrained optimization, univariate / multivariate constrained optimization) using MATLAB (2)实验教学 Experiments 注：可根据实际情况增减行数。实验类型可分为验证性、设计性、综合性，实验性质可分为选做、必做。 Note: Please add/reduce lines based on subject. The Type contains Verify, Design, and Comprehensive, while the Pattern contains Required and Elective 序号 No. 实验项目名称 Experiment Topic 学时 Hours 每组人数 MPG* 实验类型 Type 实验性质 Pattern 1 矩阵（向量）的生成、修改、基本 运算 Generation, modification and basic operations of Matrix (vector) 2 1 验证性 Verify 必做 Elec

线性规划问题、非线性规划问题验证性必做221Linearproblem,programmingVerifyElecNon-linear programming problem总计Total4*MPG: Members per group实验项目序号：支撑教学目标：11-1, 1-3Experiment NoSLOs Supported每组成员：指导教师：张建波1TutorJianbo ZhangMembers per Group实验名称：常见的线性规划问题Experiment TitleLinearprogrammingmodeling般线性规划问题的求解Solving of simple linear programming实验内容整数规划问题的求解ContentSolving of integer programming0-1规划问题的求解Solvingofbinaryprogramming学习目标：掌握常见的线性规划问题的求解方法Learning ObjectivesMasterthe stepsof solvinglinearprogrammingmodeling对给定的问题，学习求解线性规划模型的一般步骤。教学要求：Given the inear programming problems, learn and master the steps toRequirementssolve the problem in Matlab and Lingo respectively实验场地实验室/机房（科技楼5078）LocationComputerr00m5078计算机实验软硬件设备Software/HardwareComputer实验项目序号：支撑教学目标：21-1, 1-3Experiment NoSLOs Supported每组成员：指导教师：张建波1TutorMembers per GroupJianbo Zhang实验名称：常见的非线性规划问题Experiment TitleNon-linear programming modeling实验内容非线性规划的数学模型ContentMethod to solving nonlinear programming modeling学习目标：掌握数学软件解决非线性规划的一般步骤Learning ObjectivesMaster the steps to solving non-linear programmingmodeling对给定的问题，学习求解非线性规划模型的一般步骤。教学要求：Given the non-linear programming problems,learn and mastertheRequirementssteps to solve the problem in Matlab and Lingo respectively.9 /12

9 / 12 2 线性规划问题、非线性规划问题 Linear programming problem, Non-linear programming problem 2 1 验证性 Verify 必做 Elec 总计 Total 4 *MPG: Members per group 实验项目序号: Experiment No. 1 支撑教学目标: SLOs Supported 1-1，1-3 每组成员: Members per Group 1 指导教师: Tutor 张建波 Jianbo Zhang 实验名称: Experiment Title 常见的线性规划问题 Linear programming modeling 实验内容: Content 一般线性规划问题的求解 Solving of simple linear programming 整数规划问题的求解 Solving of integer programming 0-1 规划问题的求解 Solving of binary programming 学习目标: Learning Objectives 掌握常见的线性规划问题的求解方法 Master the steps of solving linear programming modeling 教学要求: Requirements 对给定的问题，学习求解线性规划模型的一般步骤。 Given the inear programming problems, learn and master the steps to solve the problem in Matlab and Lingo respectively. 实验场地: Location 实验室/机房 （科技楼 5078） Computer room 5078 实验软硬件设备: Software/Hardware 计算机 Computer 实验项目序号: Experiment No. 2 支撑教学目标: SLOs Supported 1-1，1-3 每组成员: Members per Group 1 指导教师: Tutor 张建波 Jianbo Zhang 实验名称: Experiment Title 常见的非线性规划问题 Non-linear programming modeling 实验内容: Content 非线性规划的数学模型 Method to solving nonlinear programming modeling 学习目标: Learning Objectives 掌握数学软件解决非线性规划的一般步骤 Master the steps to solving non-linear programming modeling 教学要求: Requirements 对给定的问题，学习求解非线性规划模型的一般步骤。 Given the non-linear programming problems, learn and master the steps to solve the problem in Matlab and Lingo respectively

实验场地：实验室/机房（科技楼5078）LocationComputer ro0m 5078实验软硬件设备：计算机Software/HardwareComputer四、教学安排 Teaching Schedule注：可根据实际情况增减行数Note: Please add/reduce lines based on subject.学时(周)Hour(Week)教学内容TeachingContent理论实验课外实践集中实践PBLLECT.EXP.PRAC.量化管理导论发展简史，研究的基本特征与基本方法：简单线性规划模型与实例Introduction to quantitative management:a brief2history of development,basic characteristics andmethods of research,simple linear programmingmodelandexamples复杂建模实例，线性规划图解法2Complexmodelingexamples,linear programminggraphical method整数规划的一般形式及应用2Generalform and application of integer programming介绍非线性规划及非线性规划模型2Introductionofnonlinearprogrammingandnonlinearprogramming modelMATLAB软件及其基本使用方法22MATLAB and its basic usage优化问题的MATLAB求解22The solution ofoptimization problems usingMATLAB12A00总计Total五、教学方法TeachingMethodology注：可根据实际情况增减行数或修改内容Note: Please add/reduce lines or revise content based on subject勾选Check教学方法与特色TeachingMethodology&Characters多媒体教学：基于信息化设备的课堂教学团Multi-media-based lecturing团实践能力传授：理论与行业、实际案例相结合10 /12

10 / 12 实验场地: Location 实验室/机房 （科技楼 5078） Computer room 5078 实验软硬件设备: Software/Hardware 计算机 Computer 四、教学安排 Teaching Schedule 注：可根据实际情况增减行数 Note: Please add/reduce lines based on subject. 教学内容 Teaching Content 学时(周) Hour(Week) 理论 LECT. 实验 EXP. 课外实践 PBL 集中实践 PRAC. 量化管理导论发展简史，研究的基本特征与基本方 法；简单线性规划模型与实例 Introduction to quantitative management: a brief history of development, basic characteristics and methods of research, simple linear programming model and examples 2 复杂建模实例，线性规划图解法 Complex modeling examples, linear programming graphical method 2 整数规划的一般形式及应用 General form and application of integer programming 2 介绍非线性规划及非线性规划模型 Introduction of nonlinear programming and nonlinear programming model 2 MATLAB 软件及其基本使用方法 MATLAB and its basic usage 2 2 优化问题的 MATLAB 求解 The solution of optimization problems using MATLAB 2 2 总计 Total 12 4 0 0 五、教学方法 Teaching Methodology 注：可根据实际情况增减行数或修改内容 Note: Please add/reduce lines or revise content based on subject. 勾选 Check 教学方法与特色 Teaching Methodology & Characters  多媒体教学：基于信息化设备的课堂教学 Multi-media-based lecturing  实践能力传授：理论与行业、实际案例相结合