应用统计专业

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1、2016版培养方案模板应用统计专业Applied Statistics学制： 四年Length of Schooling: Four Years学位：理学学士Degree: Bachelor of Science制订时间：2016年3月Time of Formulation: Mar 2016一、培养目标（培养目标是对该专业毕业生在毕业后5年左右能够达到的职业和专业成就的总体描述）本专业是培养具有良好的数学素养，掌握统计学的基本理论和方法，能熟练地运用常用的统计软件分析数据，能在企业、事业单位和经济管理部门从事统计调查、统计信息管理、数量分析等开发、应用和管理工作，或在科研、教育部门从事研究和

2、教学工作的专门人才。. Educational objectivesStudents majoring in Applied Statistics should have good mathematical literacy，master the fundamental theories and methods，understand the knowledge in industrial statistics and economic management，skillfully use statistical packages to analyze the data. Be able to e

3、ngage in the jobs related to statistical investigation，statistical information management，quantitative analysis，etc; be also able to engage in research and teaching work in the education departments.二、 毕业要求（毕业要求是对学生毕业时应该掌握的知识和能力的具体描述，包括学生通过本专业学习所掌握的知识、技能和素养）本专业学生在培养过程中，强调对学生统计基础理论的培养，在夯实统计基础理论的基础上，重

4、视学生用统计理论分析和解决现实问题的能力，在实践教学中，促使学生养成独立工作和团队合作的能力，养成终身学习的习惯。经过四年的系统学习，本专业学生在毕业时应达成以下毕业要求1. 理论基础:有扎实的数学基础理论和应用统计专业基础理论知识，其中包括重要的概念、定理、命题、推论、模型、估计方法和推断方法等。掌握基本的专业英语知识。2. 问题分析:能熟练应用数学和统计基础理论，探索分析实际问题，对该问题进行恰当的建模，并在此基础上，对相关数据进行统计分析，并能合理解释分析结果。3. 统计语言:在掌握数学和统计基础理论的基础上，能熟练掌握一门或多门相关的统计语言，例如SAS或者R，熟悉基本的语句，能进行简

5、单的编程设计。4. 科学研究:能够用数学和统计基础理论来研究一些较复杂的科研问题，特别是来自行业且有深刻行业背景的科研问题。5. 大数据:在掌握数学基础理论、统计基础理论和一门或多门统计语言的基础上，能够选择与使用恰当的资源和现代信息技术工具，做一些大数据处理技术内核开发的工作。6. 个人和团队：能够在多学科背景下的团队中承担个体、团队成员以及负责人的角色。7. 终身学习:具有自主学习和终身学习的意识，有不断学习和适应发展的能力。. Graduation RequirementsThe students in the training process, emphasizes the culti

6、vation of students basic statistical theory, based on the basic theory of solid statistics, students with statistical theory to analyze and solve practical problems ability in practice teaching, encourage students to develop the ability to work independently and team cooperation, develop the habit o

7、f lifelong learning.After four years of systematic study, the graduates should meet the following requirements upon graduation1. Theoretical basis: solid mathematical basic theory and applied statistics basic theoretical knowledge, including important concepts, theorems, propositions, inferences, mo

8、dels, estimation methods and inference methods, etc. Master basic professional English knowledge.2. Problems: proficient in mathematics and statistics theory, research and analysis of practical problems, proper modeling of the problem, and based on the statistical analysis of relevant data, and can

9、reasonably explain the results of the analysis.3. Statistical language: on the basis of mastering the basic theory of mathematics and statistics, can master one or more related statistical language, such as SAS or R, familiar with the basic statement, can carry on the simple programming design.4. Sc

10、ientific research: able to use mathematical and statistical basic theory to study more complex scientific research problems, especially from the industry and deep industry background of scientific research issues.5. Big data: Based on statistical language master basic theory, basic theory of mathema

11、tical statistics and one or more on to choose and use appropriate resources and modern information technology tools to do some big data processing techniques of kernel development work.6. People and teams: able to take on roles of individuals, team members, and leaders in a multidisciplinary team.7.

12、 Lifelong learning: a sense of self-learning and lifelong learning, have the ability to learn and adapt to development.三、专业培养特色本专业方向以数学理论为基础,注重数理知识、计算机技术、统计技术方法的融合, 以培养学生的自主学习能力、实践能力和创新创业能力为重点, 以强基础，宽口径，重能力，创特色的理念设置课程体系。具体如下：1. 突显理科学院的特色，在基础课程设置上，强化数学基本理论的教学,使学生具备扎实的数学基础。2. 在专业课程设置上，根据市场需求和学生就业方向、学习

13、兴趣设置了金融统计和工业统计两方向模块课程。3. 对重复、陈旧的课程内容进行优化整合，增大学生选课的多样性和自主性, 使学生有较宽的知识面和进一步学习发展的基本能力，并增加实践（实验）教学的课时比例。. Characteristics of the specialty educationTo cultivate students autonomous learning、practical and innovation abilities，this professional direction is based on mathematical theories，and pay much more

14、 attentions on the integration of mathematical know ledges，computer technologies and statistical techniques. Our curriculum system has the following features: solid professional knowledge，broad job prospects，more competence. More details are as following:1. Highlight the characteristics of science f

15、aculty， mathematical theories are stressed in our teaching to make students have solid mathematics foundations.2. Curriculum system stresses the abilities of programming and statistical software applications. 3. Our curriculum system has two parts including industrial statistics and economic managem

16、ent， according to job market，job prospects and study interests of students.We also optimize curriculum system，set more elective courses to make students have more choices according to their special interests，increase the proportion of experimental teaching， so that the students have a wide range of

17、knowledge and abilities for further study.四、 专业主干学科数学、统计学。.Main discipline for the specialty Mathematics、Statistics五、 专业核心课程数学分析、高等代数、概率论、数理统计、Hadoop基础、多元统计分析、随机过程、SAS统计软件、西方经济学、统计计算方法、投资计算方法、属性数据分析、计量经济学、使用回归分析、数学建模与R语言、非参数统计、数理金融学、金融工程基础、时间序列分析、数据挖掘。.Core courses of the specialty Mathematical Anal

18、ysis, Advanced Algebra, Probability Theory, Mathematical Statistics, Random Process, Time Series Analysis, National economic statistics, mathematical economics, Practical regression analysis, SAS Statistical Language, R Statistical Language, etc.六、 双语课程无.Bilingual coursesNone七、 毕业学分要求课内总学分不低于169.5学分

19、, 实践教学环节学分不少于29.5 学分。.Credits required for graduationAt least 169.5.0 credits in total, of which practical teaching has at least 29.5 credits.八、 主要实践教学环节军训、大学物理实验A、Hadoop实验、SAS统计软件实验、市场调查与实训、Excel统计软件包、毕业设计(论文)等。.Main components of practical teachingMilitary training, the physics experiment A(1,2),

20、Hadoop experiment, SAS statistical language experiment, Market Research and training, Excel statistical package experiment, Graduation Practice，Graduation Design (Thesis)，etc.九、 课程体系的构成及课程学分分配比例Structure of the Course System and Proportion of Course Credits1、课内部分 Intra-curricular sector课程类别Course ca

21、tegory内容说明Description总学分Total credits总学时Total teaching hours占理论学时比例Percentage小计Subtotal必修Compulsory courses公共基础理论（含课内实验）课Basic public courses(including experiments within class )含“思想政治理论课”、体育、大学英语、高等数学、大学物理、计算机文化基础等。Courses such as Ideological & Political Theories, University Physical Education, Col

22、lege English, Advanced Mathematics, Basic Computer Literary.54.0 86831.9%63.2%专业基础理论（含课内实验）课Basic specialty courses(including experiments within class )构筑专业基础平台的基本概念、理论和基础知识的课程。Courses for constructing the basic concepts, theories and knowledge underlying the specialty.44.070426.0%专业理论（含课内实验）课Specia

23、lty courses(including experiments within class )构筑专业方向的概念、理论和知识的课程。Courses for constructing concepts, theories and knowledge of the specialty emphasis.9.0144 5.3%实验实习实训Experimental and practical courses12.5 2007.4%15.7%设计（论文）Graduation design (thesis)14.0 2248.3%选修Elective courses全校性公共课 （至少选12学分）Uni

24、versitywide public courses(A minimum of 12.0 credits required)指人文社科类、自然科学类、工程技术基础及技能类全校性公选课。Universitywide public elective courses in humanities and social sciences, natural sciences, and engineering.12.01927.1%19.5%专业基础理论（含课内实验）课 （至少选9学分）Basic specialty courses(A minimum of 9 credits required)指相关学科

25、和跨学科的基础理论和知识的课程。Courses for basic theories and knowledge in the main discipline and related disciplines.9.01445.3%专业理论（含课内实验）课 （至少选12学分）Specialty courses(A minimum of 12 credits required)指学科方向和跨学科方向的基础理论和知识的课程。Courses for basic theories and knowledge in the disciplinary emphasis and interdisciplinar

26、y emphasis.121927.1%实验实习实训(至少选1.5学分)Experimental and practical courses(A minimum of 1.5 credits required)1.5241.8%1.8%设计或论文（至少选1.5学分）Graduation design (thesis)(A minimum of 1.5 credits required)1.524合 计Total169.52716100%100%2、课外部分 Extra-curricular sector课程类别Category课程名称Course name学分Credits总学时Total t

27、eachinghours实验学时Teaching hours for Experiments实习实训学时Teaching hours for practice上机学时Teaching hours with computers必修Compulsory part公共教育类Public education入学教育Entrance education0.5 0.5周0.5 week公益活动Social work1.0 16 社会实践Social practice2.0 32 “毛泽东思想、邓小平理论和三个代表重要思想概论”课外导读Extra-curricular guided reading of A

28、n Introduction to Mao Tsedung Thoughts, Deng Xiaoping Theory and the Important Thoughts of “Three Represents”1.0 16 毕业教育Graduation education0.5 0.5周0.5 week高年级体育锻炼Physical exercise of junior and senior students1.0 16 小 计Subtotal选修Elective part课外活动名称Extra-curricular activities课外活动和社会实践的要求Requirements

29、 for extra-curricular activity and social practice课外学分Extra-curricular credits英语及计算机考试English and computer tests全国大学英语六级考试National College English Test (CET) 6考试成绩达到学校要求者Meeting score requirement of the university全国计算机等级考试National Computer Rank Examination (NCRE)获二级以上证书者Granted certificate of or abo

30、ve Level 2全国计算机软件资格、水平考试National computer software qualification and proficiency tests获程序员证书者Granted advanced programmers certificate获高级程序员证书者Granted system analysts certificate获系统分析员证书者Granted system analysts certificate行业资格考试Professional qualification tests参加全国行业资格统考Nationwide uniform professional

31、 qualification tests获行业资格证书者Granted professional qualification certificate竞赛Contests校级University level获一等奖者Awarded first prize获二等奖者Awarded second prize获三等奖者Awarded third prize省级Provincial level获一等奖者Awarded first priz获二等奖者Awarded second prize获三等奖者Awarded third prize全国National level获一等奖者Awarded first

32、prize获二等奖者Awarded second prize获三等奖者Awarded third prize系列讲座Serial lectures参加学校组织的系列讲座Attending serial lectures held on the campus参加累计4场次以上Attending a minimum of 4 lectures论文Academic papers在全国性一般刊物发表论文Having papers published in nationwide average journals每篇论文Per paper核心刊物发表论文Having papers published in

33、 nationwide key journals每篇论文Per paper课外科技创新活动Extra-curricular scientific and technological innovation activities参与课外科技创新活动Participating extra-curricular scientific and technological innovation activities每项Per event十、 课程设置及学时（学分）分配Course Design and Teaching Hour(Course Credit) Assignment1、课内部分课程类别课程名

34、称学分总学时实验学时实习实训学时上机学时必 修公共基础理论（含课内实验）课大学物理AUniversity Physics A8.0 128 大学英语College English16.0 25664马克思主义基本原理Basic principles of Marxism3.0 48 毛泽东思想、邓小平理论和“三个代表”重要思想概论Mao Zedong Thought and Deng Xiaoping Theory and the Important Thought of Three Represents of a Survey5.0 80 16思想道德修养与法律基础Cultivation o

35、f Ethic Thought & Fundamentals of Law3.0 48 体育Physical training8.0 128 形势与政策Situation and policy2.0 32 中国近现代史纲要Conspectus of Chinese Modern History2.0 32 廉洁修身Honesty and Moral Cultivation1.016大学生职业规划与创业教育Career planning and entrepreneurship education for College Students1.016大学生就业创业指导College student

36、s employment guidance1.524大学生心理健康教育Mental health education of College Students1.524军事理论 Military Theory2.036小 计54868专业基础理论（含课内实验）课专业导论Professional Introduction0.5 8 C语言程序设计C language program design3.04816数学分析Mathematical Analysis Analysis14.0 224 高等代数Advanced Algebra8.0 128 解析几何Analytic Geometry2.0

37、32 Hadoop基础Hadoop basis2.5 408概率论Probability3.0 48 数理统计Mathematical Statistics3.5 56 随机过程Random Process2.0328多元统计分析Multivariate Statistical Analysis3.5 568专业英语Technical English2.048 小 计44.070440专业理论（含课内实验）课SAS统计软件 SAS programming language2.032西方经济学Western economics3.048信息检索与利用Information retrieval a

38、nd utilization1.016常微分方程Ordinary Differential Equations3.0 48小 计9.0144 实验实习实训大学物理实验AUniversity Physics Experiment A3.0 48 48 军训Military training2.0 2周32Hadoop实验Hadoop experiment1.0 16 16SAS统计软件实验SAS statistical software test2.032 24 市场调查与实训Market Research and training2.03216Excel统计包实验Excel statistic

39、al package test2.54032小 计12.5 20013632课程类别课程名称学分总学时实验学时实习实训学时上机学时必 修设计（论文）毕业设计（论文）Graduation design (thesis)14.0 14.0周224 小 计14.0 14.0周224 选修公共选修课自然科学与工程技术类The class of Natural science and Engineering Technology3.0 48人文社科类The class of Humanities and Social Sciences9.0 112小计（至少选12学分）12.0 192 专业基础理论（含

40、课内实验）课金融统计方向运筹学Operation Research2.0 32 统计计算方法Statistical calculation method2.0 32计量经济学Econometrics2.0 32 投资项目评估The evaluation of investment project2.032属性数据分析Categorical Data analysis2.032保险精算Insurance Actuarial3.048财务管理Financial Management2.032国民经济统计学National Economical Statistics1.016小计（至少选 9 学分）

41、9144工业统计方向运筹学Operation Research2.0 32统计计算方法Statistical calculation method2.0 32属性数据分析Categorical Data analysis2.0 32 投资项目评估The evaluation of investment project2.032国民经济统计学National Economical Statistics1.016S-plus统计软件S-plus statistical language2.032实用回归分析Practical regression analysis2.032企业经营统计学Busin

42、ess Statistics2.032小计（至少选 9学分）9144专业理论（含课内实验）课金融统计方向数学建模与R语言Statistical Modeling with R language2.032证券投资学Securities investment2.032抽样调查Sampling survey2.0 32 非参数统计Non-parametric Statistics2.0 32数据挖掘Data Mining2.0 32时间序列分析Time Series Analysis2.032 统计预测与决策Statistical Forecasting and Decision2.032数理金融学

43、Mathematical finance3.048金融工程基础Financial Engineeringbasis3.048投资专题应用讲座Special Applications Investment Seminar0.58风险管理Risk management2.032生存分析与可靠性Survival analysis and reliability2.032小计（至少选12学分）12192工业统计方向数学建模与R语言Statistical Modeling with R language2.0 32抽样调查Sampling survey2.0 32 非参数统计Non-parametric

44、 Statistics2.032 数据挖掘Data Mining2.0 32 时间序列分析Time Series Analysis2.032 统计预测与决策Statistical Forecasting and Decision2.032现代企业管理modern enterprise management2.032数理金融学Mathematical finance3.048企业经济应用讲座Enterprise economic Seminar0.58试验设计与分析Experimental design and analysis2.032生存分析与可靠性Survival analysis and

45、 reliability2.032小计（至少选12学分）12192选修实验实习实训（选修）金融统计方向投资项目评估实验The evaluation experiment of investment project0.58统计计算方法实验Statistical calculation method experiment0.58数学建模与R语言实验Statistical Modeling experiment with R language1.016属性数据分析实验Categorical Data analysisexperiment1.016小计（至少选1.5学分）工业统计方向投资项目评估实验T

46、he evaluation experiment of investment project0.58统计计算方法实验Statistical calculation method experiment0.58数学建模与R语言实验Statistical Modeling experiment with R language1.016属性数据分析实验Categorical Data analysisexperiment1.016小计（至少选1.5学分）设计或论文（选修）金融统计方向计量经济学课程设计Econometrics curriculum design1.016数据挖掘课程设计Data min

47、ing curriculum design1.016数理金融学课程设计Mathematical financecurriculum design0.58生存分析与可靠性课程设计Survival analysis and reliability curriculum design1.016小计（至少选1.5学分）工业统计方向生存分析与可靠性课程设计Survival analysis and reliability curriculum design1.016数据挖掘课程设计Data mining curriculum design1.016数理金融学课程设计Mathematical financ

48、ecurriculum design0.58小计（至少选1.5学分）附录（内容请各专业自行修订）1、毕业要求对培养目标的支撑本专业毕业要求对培养目标的支撑关系，可用矩阵图或其他适当形式说明。专业的毕业要求完全覆盖了工程教育认证标准（2015）通用标准的毕业要求，具体见矩阵表1；专业的毕业要求支撑了培养目标的实现，具体见矩阵表2。表1 应用统计专业毕业要求与论证标准的毕业要求本专业目标相应支撑项1234567表2 应用统计专业毕业要求支撑专业培养目标（示例）培养目标毕业要求理论基础技术应用合作交流道德修养学习创新服务社会1.理论基础MHL2.问题分析MHM3.统计语言MHM4.科学研究HMML5

49、.大数据HHH6.个人和团体HMM7.终身学习HLM备注：支撑度类别：H:强支撑，M:一般支撑，L:弱支撑 2 专业课程对毕业要求的支撑表3 应用专业课程体系对毕业要求的支撑（示例）课程体系课程名称1.工程知识2.问题分析3.设计/开发解决方案4.研究5.使用现代工具6.工程与社会7.终身学习专业基础必修课专业导论C语言程序设计数学分析解析几何高等代数概率论数理统计Hadoop基础随机过程多元统计分析专业英语专业必修课信息检索与利用常微分方程SAS统计软件西方经济学专业基础选修课运筹学统计计算方法投资项目评估国民经济统计学财务管理属性数据分析计量经济学保险精算S-plus统计软件使用回归分析企

50、业经营统计学专业选修课证券投资学统计预测与决策数学建模与R语言时间序列分析非参数统计抽样调查金融工程基础数理金融学数据挖掘生存分析与可靠性风险管理投资专题应用讲座试验设计与分析现代企业管理企业经济应用讲座人文社会科学类通识教育课程中国近现代史纲要思想道德修养与法律基础廉洁修身马克思主义基本原理毛泽东思想、邓小平理论和“三个代表”重要思想概论形势与政策大学英语军训自然科学与工程技术类公选课人文社科类公选课人文社会科学类通识教育课入学教育公益活动社会实践“毛泽东思想、邓小平理论和三个代表重要思想概论”课外导读毕业教育体育高年级体育锻炼军事理论大学生职业规划与创业教育大学生就业创业指导实验实习实训必

51、修 军训大学物理实验A（1）大学物理实验A（2）Hadoop实验SAS统计软件实验市场调查与实训Excel统计包实验毕业设计（论文）实验实习实训和设计与论文选修 投资项目评估实验统计计算方法实验数学建模与R语言实验属性数据分析实验计量经济学课程设计生存分析与可靠性课程设计数理金融学课程设计数理金融学课程设计3毕业要求达成度评价本专业毕业要求达成度评价的机制，包括评价方法、数据来源、评价机构、评价周期、结果反馈等，并任选1-2项毕业要求项举例说明评价实施情况。3.1毕业要求达成度评价机制本专业根据课程体系对毕业要求的支撑，综合考虑理论课程、实验实训、毕业设计等实践课程对各项毕业要求及其指标点达成

52、的关联程度，同时将每项毕业要求（或指标点）归一化，制定以下权重系数设定规则（权重系数请各专业根据本专业情况自行设定）：1）理论课程的权重系数：学分数*2；2）实验课程的权重系数：学分数*1.5；3）课程设计及实训课的权重系数：学分*1.5；其中采用PBL模式的权重系数：学分*2；4）毕业设计的权重系数：学分*2。根据以上规则，我们制定了各门课程支撑各项毕业要求实现的权重系数表，具体参见矩阵表4。表4课程支撑毕业要求实现的权重系数表（示例）指标点指标点权重主要教学环节教学环节权重备注1.理论基础：有扎实的数学基础理论和应用统计专业基础理论知识，其中包括重要的概念、定理、命题、推论、模型、估计方法和推断方法等。掌握基本的专业英语知识。1.1掌握必要的数学基础理论。0.4C语言程序设计0.3数学分析0.3解析几何0.3高等代数0.3概率论0.3数理统计0.31.2掌握必要的统计基础理论。0.5Hadoop基础0.3专业导论0.3随机过程0.3多元统计分析0.3