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华北电力大学工商管理卓越工程师培养计划 学校培养标准

工商管理专业人才培养方案

Undergraduate Program for Business Administration Major

学科门类：管理学 代码：11

Discipline Type: Administration Code: 11

类 别：工商管理类 代码：1102

Type: Business Administration Code: 1102

专业名称：工商管理（技术经济方向） 代码：110201

Title of the Major: Business Administration (Technology Economic) Code: 110201

一、学制与学位 Length of Schooling and Degree

学制：四年 Duration：Four years

学位：管理学学士 Degree：Bachelor of Administration

二、培养目标 Educational Objectives

培养具备工商管理基本理论和系统的专业知识，熟练掌握技术经济评价理论和方法、电力市场分析与交易理论及实务、电力工程管理，具有较强技术经济分析能力、尤其是电力技术经济分析与评价能力的高级管理人才。能够从事规划、计划、工程造价、投资项目可行性分析和全过程控制、在电力企业和其它企事业单位以及政府部门从事经济管理及有关教学科研工作。

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1 数学与计算科学学院本科专业培养方案

一、培养目标

培养德育、智育、体育和美育全面发展，具有坚实数学理论基础和计算能力，综合素质高的优秀本科毕业生。为全国重点高校输送高素质的研究生生源。培养今后能从事数学基础研究和教学的后备军。

二、培养规格和要求

1．坚持四项基本原则，立志成为社会主义事业的建设者和接班人。

2．具有比较扎实的数学基础，受到严格的科学思维训练，初步掌握数学科学的思想方法。

3．了解数学、计算科学与统计学的发展与应用前景，具有应用数学、计算科学和统计学知识解决实际问题或专业教学的能力。

4. 能熟练使用计算机（包括常用语言、工具及一些数学软件），具有一定的软件设计能力。

5．有较强的语言表达能力，掌握资料查询，文献索引以及运用现代信息技术获取相关信息的基本方法，具有一定的科学研究或教学研究能力。

6．具有健康的体魄和良好的心理素质，能胜任将来负担的工作。

三、授予学位：按要求完成学业者授予理学学士学位。

四、毕业总学分及课内总学时

课程类别 学分数 所占比例 备注

公共必修课 34 22%

公共选修课 20 13%

专业必修课 62 40%

专业选修课 39 25% 学生须在限选课程中至少选修19学分

毕业总学分

(实践教学学分) 155

(16)

课内总学时 2790

五、专业核心课程： 数学分析、几何与代数、概率统计、常微分方程、复变函数、实变函数、泛函分析、微分几何、代数Ⅱ、偏微分方程、高级语言程序设计、数理统计、抽样调查、数值逼近、数值代数、微分方程数值解法、数据结构与算法、数据库原理与应用等。

六、专业特色课程：

国家及省级精品课程：数学分析

校级重点课程：几何与代数、概率论

七、专业课程设置及教学进程计划表（见附表一）

八、辅修、双专业、双学位教学计划进程表（参考附表一） 2 附表一:

各专业课程设置及教学进程计划表

ReliabilityEngineeringandSystemSafety91(2006)992–1007

Multi-objectiveoptimizationusinggeneticalgorithms:Atutorial

AbdullahKonaka,Ã,DavidW.Coitb,AliceE.SmithcaInformationSciencesandTechnology,PennStateBerks,USAbDepartmentofIndustrialandSystemsEngineering,RutgersUniversitycDepartmentofIndustrialandSystemsEngineering,AuburnUniversityAvailableonline9January2006

AbstractMulti-objectiveformulationsarerealisticmodelsformanycomplexengineeringoptimizationproblems.Inmanyreal-lifeproblems,objectivesunderconsiderationconflictwitheachother,andoptimizingaparticularsolutionwithrespecttoasingleobjectivecanresultinunacceptableresultswithrespecttotheotherobjectives.Areasonablesolutiontoamulti-objectiveproblemistoinvestigateasetofsolutions,eachofwhichsatisfiestheobjectivesatanacceptablelevelwithoutbeingdominatedbyanyothersolution.Inthispaper,anoverviewandtutorialispresenteddescribinggeneticalgorithms(GA)developedspecificallyforproblemswithmultipleobjectives.TheydifferprimarilyfromtraditionalGAbyusingspecializedfitnessfunctionsandintroducingmethodstopromotesolutiondiversity.r2005ElsevierLtd.Allrightsreserved.