东北大学：某学院应用统计学专业《统计学导论》课程教学大纲

统计学导论课程教学大纲Introduction to Statistics Subject Syllabus、课程信息SubjectInformation课程编号：开课学期：1UTS-AS-37151Subject IDSemester课程分类：所属课群：专业教育PA专业基础MFSectionCategory总学时/周：课程学分：580Credit PointsTotal Hours/Weeks理论学时：实验学时：746LECT. HoursEXP. HoursPBL学时：实践学时/周：00PBL HoursPRAC.Hours/Weeks开课学院：东北大学适用专业：应用统计学ASCollege悉尼智能科技学院Stream课程属性：课程模式：必修Compulsory引进UTSModePattern课程协调人：王宪良成绩记载方式：百分制MarksResult TypeCoordinatorWang Xianliang先修课程：无NoneRequisites1. Walpole, Myers, Myers, Ye, Probability & Statistics for Engineers &Scientists,9thEdition,GLOBALEDITION,PearsonEducation英文参考教材Limited, 2016ENTextbooks2. David Freedman, Robert Pisani, Roger Purves, Statistics, 4thEdition,W.W.Norton&Company,20071.罗纳德·沃波尔；雷蒙德·迈尔斯；沙伦·迈尔斯，概率与统计中文参考教材（理工类第九版），中国人民大学出版社，2016CN Textbooks2.DavidFreedman,RobertPisani,RogerPurves，统计学（第二版）中国统计出版社，1997教学资源：https:/lms.cloudcampus.com.cn/courses/14Resources课程负责人(撰写人)：王宪良提交日期：单击或点击此处输Subject DirectorWang XianliangSubmitted Date入日期。任课教师（含负责人）：马蒂亚斯·奎罗斯、艾西瓦亚·巴斯卡兰、王宪良、刘莹、Taught byMatias Quiroz、Aishwarya Bhaskaran、Wangxianliang、LiuYing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Approved Date入日期

统计学导论 课程教学大纲 Introduction to Statistics Subject Syllabus 一、课程信息 Subject Information 课程编号: Subject ID UTS-AS-37151 开课学期: Semester 1 课程分类: Category 专业教育 PA 所属课群: Section 专业基础 MF 课程学分: Credit Points 5 总学时/周: Total Hours/Weeks 80 理论学时: LECT. Hours 74 实验学时: EXP. Hours 6 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 引进 UTS 课程协调人: Coordinator 王宪良 Wang Xianliang 成绩记载方式: Result Type 百分制 Marks 先修课程: Requisites 无 None 英文参考教材: EN Textbooks 1. Walpole, Myers, Myers, Ye, Probability & Statistics for Engineers & Scientists, 9th Edition, GLOBAL EDITION, Pearson Education Limited, 2016 2. David Freedman, Robert Pisani, Roger Purves, Statistics, 4th Edition, W. W. Norton & Company, 2007 中文参考教材: CN Textbooks 1. 罗纳德·沃波尔; 雷蒙德·迈尔斯; 沙伦·迈尔斯, 概率与统计 （理工类第九版）, 中国人民大学出版社, 2016 2．David Freedman, Robert Pisani, Roger Purves, 统计学（第二版）, 中国统计出版社, 1997 教学资源: Resources https://lms.cloudcampus.com.cn/courses/14 课程负责人(撰写人): Subject Director 王宪良 Wang Xianliang 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 马蒂亚斯·奎罗斯、艾西瓦亚·巴斯卡兰、王宪良、刘莹、 Matias Quiroz、Aishwarya Bhaskaran、Wang xianliang、Liu Ying 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统计学导论是应用统计学专业的必修课，主要包括概率论的重要概念，经典统计推断及其与概率论的联系，抽样分布及其在置信区间及假设检验中的应用，以及简单的线性回归和方差分析技术。本课程培养学生使用概率语言在统计框架中的研究技能和解决复杂问题的能力，对取得的成果在社会主义核心价值观下进行批判性评价和分析，并以各种方式向不同的受众（专家和非专家）简洁准确地表达信息、推理和结论。Introduction to Statisticsis arequiredcoursefor Applied Statistics.Thissubjet整体目标：mainly introduces the students to important concepts in probability,classical statisticalOverallObjectiveinference and its connection to probability theory,sampling distributions and their usein constructing confidence intervals and hypothesis testing, simple linear regressionand analysis of variance techniques. Students learn how to use the language ofprobability, and how this is applied in a statistical framework to solve outstandingproblems with a critical evaluation and analysis of the obtained results account for thecore socialist values then succinct and accurate presentation of information, reasoningand conclusions in a variety of modes, to diverse audiences (expert and non-expert)掌握统计学领域的理论和技术知识，结合演绎推理解决问题复杂的问题。研究数学科学中一系列基础领域的原理和概念（微积分，离散数学、线性代数、概率论、统计学和定量管理）。Developtheoreticaland technical knowledge in an area of statistics, incorporating deductive1-1reasoning to solve complex problems. Examine the principles andconcepts of a range of fundamental areas in the mathematical sciences(calculus, discrete mathematics, linear algebra, probability, statistics andquantitative management)培养研究技能和解决突出问题的能力，具有批判性的评估和分析能力获得的结果。在证据的基础上进行论证，并在选择方法的基础上进行模拟（例如，分析与数值/实验、不同的统计测试、不同的启发式算法）以及各种数据和知识来源。（1）专业目标：Develop research skills and ability to solve outstanding problems, with a1-2Professional Abilitycritical evaluation and analysis of the obtained results.Make argumentsbased on proof and conduct simulations based on selection ofapproaches (e.g, analytic vs numerical/experimental, different statisticaltests, different heuristic algorithms) and various sources of data andknowledge.在个人或团队环境下高效、负责地工作的能力。Abilitytowork1-3effectively and responsibly in an individual or team context展示自我反省、个人和独立学习策略，扩展现有知识。培养信息检索和整合技能，以批判性地评估数据的数学/统计方面创造性地思考1-4并尝试不同的方法来解决间题。Demonstrate self-reflection，andindividual and independent learning strategies to extend existingknowledge. Develop information retrieval and consolidation skills to

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 统计学导论是应用统计学专业的必修课，主要包括概率论的重要概念，经典统计 推断及其与概率论的联系，抽样分布及其在置信区间及假设检验中的应用，以及 简单的线性回归和方差分析技术。本课程培养学生使用概率语言在统计框架中的 研究技能和解决复杂问题的能力，对取得的成果在社会主义核心价值观下进行批 判性评价和分析，并以各种方式向不同的受众（专家和非专家）简洁准确地表达 信息、推理和结论。 Introduction to Statistics is a required course for Applied Statistics. This subject mainly introduces the students to important concepts in probability, classical statistical inference and its connection to probability theory, sampling distributions and their use in constructing confidence intervals and hypothesis testing, simple linear regression and analysis of variance techniques. Students learn how to use the language of probability, and how this is applied in a statistical framework to solve outstanding problems with a critical evaluation and analysis of the obtained results account for the core socialist values then succinct and accurate presentation of information, reasoning and conclusions in a variety of modes, to diverse audiences (expert and non-expert). （1）专业目标: Professional Ability 1-1 掌握统计学领域的理论和技术知识，结合演绎推理解决问题复杂的 问题。研究数学科学中一系列基础领域的原理和概念（微积分，离 散数学、线性代数、概率论、统计学和定量管理）。Develop theoretical and technical knowledge in an area of statistics, incorporating deductive reasoning to solve complex problems. Examine the principles and concepts of a range of fundamental areas in the mathematical sciences (calculus, discrete mathematics, linear algebra, probability, statistics and quantitative management). 1-2 培养研究技能和解决突出问题的能力，具有批判性的评估和分析能 力获得的结果。在证据的基础上进行论证，并在选择方法的基础上 进行模拟（例如，分析与数值/实验、不同的统计测试、不同的启发 式算法）以及各种数据和知识来源。 Develop research skills and ability to solve outstanding problems, with a critical evaluation and analysis of the obtained results. Make arguments based on proof and conduct simulations based on selection of approaches (e.g. analytic vs numerical/experimental, different statistical tests, different heuristic algorithms) and various sources of data and knowledge. 1-3 在个人或团队环境下高效、负责地工作的能力。Ability to work effectively and responsibly in an individual or team context. 1-4 展示自我反省、个人和独立学习策略，扩展现有知识。培养信息检 索和整合技能，以批判性地评估数据的数学/统计方面创造性地思考 并尝试不同的方法来解决问题。Demonstrate self-reflection, and individual and independent learning strategies to extend existing knowledge. Develop information retrieval and consolidation skills to

critically evaluate mathematical/statistical aspects of information tothink creatively and try different approaches to solving problems简洁准确地呈现信息，推理和结论的多种模式，适用于不同的场合受众（专家和非专家）。Succinct and accurate presentation of1-5information, reasoning and conclusions in a variety of modes, to diverseaudiences (expert and non-expert).具有正确的价值观与社会责任感、优秀的职业道德与行为规范。2-1Having correct values and sense of social responsibility,goodprofessional ethics and conduct.坚定“融贯东西、鼎新致远"的奋斗信念，胸怀“自强不息、知行合-（2）德育目标：的东大品格，成为有理想、有本领、有担当的时代英才。StrongbeliefEssentialQualityof "Integrate east and west, innovate for the long-term development2-2character of "Striving constantly for improvement and behaving inconformity with truth, and becoming talents with ideals, abilities, andresponsibilities课程教学目标与毕业要求的对应关系MatrixofGA&SLOs教学目标毕业要求GA指标点GAIndexSLOs1-1 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间题。Capableofdeductivereasoning，accurate1-1calculation, analysis and induction and abstract thinking.Establishing correct mathematics, physics models with theprofessional knowledge of mathematics, natural science,etc. to solve complex practical problems.1-2掌握统计调查、统计数据处理、统计分析、计算机1、理学知识：具有扎实的数学基础，能够将数与统计软件使用等应用统计学的基本理论、知识与方法，学、自然科学和专业知识用于解决复杂实际问题。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。MasterytheGA1. Science Knowledge: Apply knowledge ofmathematics, natural science, fundamentals and anbasic theories, knowledge and methods of applied statistics,1-1, 1-2engineering specialization to the solution of complexsuch as statistical investigation, statistical data processing.engineering problemsstatistical analysis, and the use of computers and statisticalsoftware, capable of data collecting,processing, andanalyzing; familiar with the writing norms of pre-researchreports, feasibility analysis reports, and research plans1-3了解本专业涉及相关行业的发展趋势以及相关产业的运营模式，具备在本专业相关领域进行方案设计、技术创新的能力。Understanding the development and1-1, 1-2operations of related industries in this stream; capable ofconducting program design and technological innovation inrelated fields of this stream

critically evaluate mathematical/statistical aspects of information to think creatively and try different approaches to solving problems. 1-5 简洁准确地呈现信息，推理和结论的多种模式，适用于不同的场合 受众（专家和非专家）。Succinct and accurate presentation of information, reasoning and conclusions in a variety of modes, to diverse audiences (expert and non-expert). （2）德育目标: Essential Quality 2-1 具有正确的价值观与社会责任感、优秀的职业道德与行为规范。 Having correct values and sense of social responsibility, good professional ethics and conduct. 2-2 坚定“融贯东西、鼎新致远”的奋斗信念，胸怀“自强不息、知行合一” 的东大品格，成为有理想、有本领、有担当的时代英才。Strong belief of “Integrate east and west, innovate for the long-term development”, character of “Striving constantly for improvement and behaving in conformity with truth”, and becoming talents with ideals, abilities, and responsibilities. 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。 GA1. Science Knowledge: Apply knowledge of mathematics, natural science, fundamentals and an engineering specialization to the solution of complex engineering problems. 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 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. 1-1，1-2 1-3 了解本专业涉及相关行业的发展趋势以及相关产业 的运营模式，具备在本专业相关领域进行方案设计、技 术创新的能力 。 Understanding the development and operations of related industries in this stream; capable of conducting program design and technological innovation in related fields of this stream. 1-1，1-2

2-1能够借助应用统计学的基本原理、方法和手段，分析、识别、表达本专业相关的复杂实际问题。Capableof1-2, 1-5analyzing, identifying and elaborating complex practical2、问题分析：能够借助应用统计学的基本原理、 problems related to this stream with the applying of the方法和手段，识别、表达、并通过文献研究分析basic principles of applied statistics复杂实际问题，以获得有效结论。2-2能够借助应用统计学的基本原理、方法和手段，针GA2. Problem Analysis: Identify,formulate,对复杂实际问题设计针对性的方案，并综合运用文献、research literature and analyze complex practical科学理论和技术手段予以解决。Capableofdrawingontheproblems reaching substantiated conclusions usingbasic principles of applied statistics to design targeted1-2, 1-5first principles of mathematics and sciencesschemes for complex practical problems, and usingliterature, scientific theories and technical means to solvethem.3、设计/开发解决方案：能够设计针对复杂实际3-1能够设计针对本专业相关复杂实际问题的解决方问题的解决方案，设计满足特定需求的系统、单1-2案。Capable of designing solutions to complex practical元或流程，并能够在设计环节中体现创新意识，problems related to this stream考虑社会、健康、安全、法律、文化以及环境等因素。3-2能够对不同设计方案进行比较和优化，在工作各环GA3.Design/Development of Solutions:Design节中具有创新意识和批判意识，善于发现、分析、系统solutions for complex practical problems and design表述和解决实际间题。Capable of comparing andsystems, components or processes that meet specified1-2, 1-4optimizing different design schemes,having a sense ofneeds with appropriate consideration for publicinnovation and criticism in all aspects of work, and be goodhealth,andsafety,cultural,societalandat discovering, analyzing, systematically elaborating andenvironmental considerations.solving practical problems.4-1能够基于科学原理并采用科学方法，在本专业相关4、研究：能够基于科学原理并采用科学方法对理论指导下对复杂实际间题设计实验进行研究。1-2复杂实际问题进行研究，包括设计实验、分析与Capable of design experiments on complex problems with解释数据、并通过信息综合得到合理有效的结论。scientific knowledge and research methods of this stream.GA4.Investigation:Conduct investigations of4-2能够结合本专业知识对实验数据进行分析与解释，complex problems using research-based knowledge设计并优化实验方案，并通过信息综合得到合理有效的andresearch methods including designof结论。Capable of analyzing and interpretinggthe1-2,experiments, analysis and interpretation of data, andexperimental data, designingandoptimizingthe2-1, 2-2synthesisofinformationtoprovidevalidexperimental schemer with the knowledge of this streamconclusions.reasonable and effective conclusions are obtained throughinformation synthesis.6-1能够基于本专业相关背景知识进行合理分析，评价6、工程与社会：能够基于本专业相关背景知识通信相关实践活动和复杂实际问题解决方案对社会、健和相关法规标准进行合理分析，评价本专业实践康、安全、法律以及文化的影响。Capableofanalyzingand活动和复杂实际问题解决方案对社会、健康、安1-4,evaluating the social, health, safety, legal and cultural2-1, 2-2全、法律以及文化的影响，并理解应承担的责任。impact of statistics-related engineering practices andGA6. The engineer and Society: Apply reasoningcomplex engineering problem solutions based on theinformed by contextual knowledge to assess societal,relevant background knowledge of the stream.health, safety, legal and cultural issues and the6-2理解本专业实践活动和相关行业工程问题解决方案consequent responsibilities relevant to professional1-4,对社会、健康、安全、法律以及文化应承担的责任。2-1, 2-2practice and solutions to complex practical problemsUnderstanding of the responsibility of the professional

2、问题分析： 能够借助应用统计学的基本原理、 方法和手段，识别、表达、并通过文献研究分析 复杂实际问题，以获得有效结论。 GA2. Problem Analysis: Identify, formulate, research literature and analyze complex practical problems reaching substantiated conclusions using first principles of mathematics and sciences. 2-1 能够借助应用统计学的基本原理、方法和手段，分 析、识别、表达本专业相关的复杂实际问题。Capable of analyzing, identifying and elaborating complex practical problems related to this stream with the applying of the basic principles of applied statistics. 1-2，1-5 2-2 能够借助应用统计学的基本原理、方法和手段，针 对复杂实际问题设计针对性的方案，并综合运用文献、 科学理论和技术手段予以解决。Capable of drawing on the basic principles of applied statistics to design targeted schemes for complex practical problems, and using literature, scientific theories and technical means to solve them. 1-2，1-5 3、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意识， 考虑社会、健康、安全、法律、文化以及环境等 因素。 GA3. 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. 3-1 能够设计针对本专业相关复杂实际问题的解决方 案。Capable of designing solutions to complex practical problems related to this stream. 1-2 3-2 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 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. 1-2，1-4 4、研究： 能够基于科学原理并采用科学方法对 复杂实际问题进行研究，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。 GA4. 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. 4-1 能够基于科学原理并采用科学方法，在本专业相关 理论指导下对复杂实际问题设计实验进行研究 。 Capable of design experiments on complex problems with scientific knowledge and research methods of this stream. 1-2 4-2 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. 1-2， 2-1，2-2 6、工程与社会： 能够基于本专业相关背景知识 和相关法规标准进行合理分析，评价本专业实践 活动和复杂实际问题解决方案对社会、健康、安 全、法律以及文化的影响，并理解应承担的责任。 GA6. The engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional practice and solutions to complex practical problems. 6-1 能够基于本专业相关背景知识进行合理分析，评价 通信相关实践活动和复杂实际问题解决方案对社会、健 康、安全、法律以及文化的影响。Capable of analyzing and evaluating the social, health, safety, legal and cultural impact of statistics-related engineering practices and complex engineering problem solutions based on the relevant background knowledge of the stream. 1-4， 2-1，2-2 6-2 理解本专业实践活动和相关行业工程问题解决方案 对社会、健康、安全、法律以及文化应承担的责任。 Understanding of the responsibility of the professional 1-4， 2-1，2-2

practice activities and related industry engineering problemsolutions to society,health, safety, law and culture7-1了解本专业相关的环境与可持续发展方针政策和法7、环境与可持续发展：:能够理解和评价针对本律法规，理解实践活动中所应承担的责任。Theknowledge专业相关复杂实际间题的实践活动对环境、社会of the environmental and sustainable development policies,2-1, 2-2可持续发展的影响。lawsand regulations related to this stream, andunderstanding of the responsibilities that should beGA7. Environment and Sustainability: Understandundertaken in practical activities.and evaluate the sustainability and impact of7-2能够正确认识并评价本专业实践活动对环境、社会professional work in the solution of complexpractical problems in societal and environmental可持续发展的影响。Capableof understandinggand2-1, 2-2contexts.evaluatingthe impact of practice activities on theenvironment and the sustainable development of society8-1具备健全的人格，坚定的理想信念和社会责任感，科学的世界观、人生观和价值观，良好的人文社会科学素养。Possessingof asoundpersonality,firm idealsand2-1, 2-2beliefs and a sense of social responsibility, a scientific8、职业规范：具有人文社会科学素养、社会责outlook on world, life and values, and good humanities and任感，能够在实践活动中理解并遵守职业道德和social science literacy规范，履行责任。8-2了解本专业相关的职业道德与规范并认识其重要GA8. Ethics: Apply ethical principles and commit to性，具备良好的职业道德和社会责任感，能够对实践活professional ethics and responsibilities and norms of动的社会道德进行判断和评鉴，并履行相应的责任。practice,Understanding of the professional ethics and norms related2-1, 2-2to the stream and recognition of their importance, having agood professional ethics and social responsibility, capableof judging and evaluating the social ethics of practicalactivities, and performing corresponding responsibilities9-1能够认识团队协作的重要性，具有强烈的团队协作意识和能力、卓越的组织管理能力、较强的表达能力和人际交往能力，Recognitionof the importanceof1-3, 1-59、个人与团队：能够在多学科背景下的团队中teamwork, a strong sense and capability of teamwork承担个体、团队成员以及负责人的角色。excellent organization and management skills, strongGA9.IndividualandTeamwork:Function expression and interpersonal skillseffectively as an individual, and as a member or9-2具有良好的跨文化、跨领域沟通交流能力，适应本leader in diverse teams and in multi-disciplinary专业相关行业的团队协作机制，积极主动的在团队中发settings.挥作用。Good cross-cultural and cross-field communication1-3, 1-5skills, adaption to the team cooperation mechanism of therelevant industry of the stream, and actively play a role inthe team10、沟通：能够就本专业复杂实际问题与业界同10-1能够就应用统计领域相关复杂实际问题与业界同行行及社会公众进行有效沟通和交流，包括撰写报及社会公众进行有效沟通和交流，能够通过口头或书面告和设计文稿、陈述发言、清晰表达或回应指令。方式实现有效表达：Capableofeffectivelycommunicating1-3, 1-5具备一定的国际视野，能够在跨文化背景下进行and communicating with industrypeersandthepublicon沟通和交流。complexpractical issuesrelatedtotheapplied statistics,andGA10. Communication: Communicate effectivelyeffective expression through oral or written forms;

practice activities and related industry engineering problem solutions to society, health, safety, law and culture. 7、环境与可持续发展： 能够理解和评价针对本 专业相关复杂实际问题的实践活动对环境、社会 可持续发展的影响。 GA7. Environment and Sustainability: Understand and evaluate the sustainability and impact of professional work in the solution of complex practical problems in societal and environmental contexts. 7-1 了解本专业相关的环境与可持续发展方针政策和法 律法规，理解实践活动中所应承担的责任。The knowledge of the environmental and sustainable development policies, laws and regulations related to this stream, and understanding of the responsibilities that should be undertaken in practical activities. 2-1，2-2 7-2 能够正确认识并评价本专业实践活动对环境、社会 可 持 续 发 展 的 影 响 。 Capable of understanding and evaluating the impact of practice activities on the environment and the sustainable development of society. 2-1，2-2 8、职业规范： 具有人文社会科学素养、社会责 任感，能够在实践活动中理解并遵守职业道德和 规范，履行责任。 GA8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of practice. 8-1 具备健全的人格，坚定的理想信念和社会责任感， 科学的世界观、人生观和价值观，良好的人文社会科学 素养。Possessing of a sound personality, firm ideals and beliefs and a sense of social responsibility, a scientific outlook on world, life and values, and good humanities and social science literacy. 2-1，2-2 8-2 了解本专业相关的职业道德与规范并认识其重要 性，具备良好的职业道德和社会责任感，能够对实践活 动的社会道德进行判断和评鉴，并履行相应的责任。 Understanding of the professional ethics and norms related to the stream and recognition of their importance, having a good professional ethics and social responsibility, capable of judging and evaluating the social ethics of practical activities, and performing corresponding responsibilities. 2-1，2-2 9、个人与团队： 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。 GA9. Individual and Teamwork: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings. 9-1 能够认识团队协作的重要性，具有强烈的团队协作 意识和能力、卓越的组织管理能力、较强的表达能力和 人 际 交 往 能 力 。 Recognition of the importance of teamwork, a strong sense and capability of teamwork, excellent organization and management skills, strong expression and interpersonal skills. 1-3，1-5 9-2 具有良好的跨文化、跨领域沟通交流能力，适应本 专业相关行业的团队协作机制，积极主动的在团队中发 挥作用。Good cross-cultural and cross-field communication skills, adaption to the team cooperation mechanism of the relevant industry of the stream, and actively play a role in the team. 1-3，1-5 10、沟通：能够就本专业复杂实际问题与业界同 行及社会公众进行有效沟通和交流，包括撰写报 告和设计文稿、陈述发言、清晰表达或回应指令。 具备一定的国际视野，能够在跨文化背景下进行 沟通和交流。 GA10. Communication: Communicate effectively 10-1 能够就应用统计领域相关复杂实际问题与业界同行 及社会公众进行有效沟通和交流，能够通过口头或书面 方式实现有效表达；Capable of effectively communicating and communicating with industry peers and the public on complex practical issues related to the applied statistics, and effective expression through oral or written forms; 1-3，1-5

on complex practical activities with the communityand society at large, such as being able to10-2熟练掌握英语，能够在本专业相关领域进行有效的comprehend and write effective reports and design技术沟通和交流。Proficient inEnglish，and capableofdocumentation, make effective presentations andgive and receive clear instructions. Be able tocarrying out effective technical communication andcommunicate in a cross-cultural context with anexchange in related fields of the major.Intemational vision.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 ofknowledge unit(1）理论教学Lecture知识单元序号：支撑教学目标11-1, 1-2, 1-4, 1-5Knowledge Unit No.SLOs Supported知识单元名称统计与数据分析导言Unit TitleIntroductiontoStatisticsandDataAnalysis数据收集Data collection位置和方差的测量Location and variability measure知识点：离散和连续型变量Knowledge DeliveryDiscrete and continuous variables图形诊断Graphical inspections样本空间和事件Sample spaces and events了解：样本和总体的基本概念RecognizeWhat's SampleandPopulation学习目标：理解：样本空间和事件Learning ObjectivesUnderstandSample spaces and events掌握：位置和方差的测量；图形诊断MasterLocation and variability measure; Graphical inspections德育目标2-1, 2-2Moral Objectives重点：位置和方差的测量；图形诊断Key PointsLocation and variabilitymeasure; Graphical inspections难点：图形诊断Focal pointsGraphical inspections知识单元序号支撑教学目标：21-1, 1-2, 1-4, 1-5Knowledge Unit No.SLOs Supported

on complex practical activities with the community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions. Be able to communicate in a cross-cultural context with an International vision. 10-2 熟练掌握英语，能够在本专业相关领域进行有效的 技术沟通和交流。Proficient in English, and capable of carrying out effective technical communication and exchange in related fields of the major. 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 1-1，1-2，1-4，1-5 知识单元名称 Unit Title 统计与数据分析导言 Introduction to Statistics and Data Analysis 知识点: Knowledge Delivery 数据收集 Data collection 位置和方差的测量 Location and variability measure 离散和连续型变量 Discrete and continuous variables 图形诊断 Graphical inspections 样本空间和事件 Sample spaces and events 学习目标: Learning Objectives 了解: Recognize 样本和总体的基本概念 What’s Sample and Population 理解: Understand 样本空间和事件 Sample spaces and events 掌握: Master 位置和方差的测量；图形诊断 Location and variability measure; Graphical inspections 德育目标 Moral Objectives 2-1，2-2 重点: Key Points 位置和方差的测量；图形诊断 Location and variability measure; Graphical inspections 难点: Focal points 图形诊断 Graphical inspections 知识单元序号: Knowledge Unit No. 2 支撑教学目标: SLOs Supported 1-1，1-2，1-4，1-5

概率知识单元名称ProbabilityUnit Title事件：样本点计数；事件的概率Events;Countingoutcomes;Probabilityofevents条件概率、独立性及乘积法则知识点：Conditional probability,independenceandtheproductruleKnowledge Delivery全概法则；贝叶斯法则The law of total probability, Bayes' rule了解：事件：样本点计数Events; Counting outcomesRecognize理解：事件的概率学习目标：UnderstandProbability of events;Learning Objectives条件概率、独立性及乘积法则：全概法则；贝叶斯法掌握：则MasterConditional probability,independence and the productrule,Thelawoftotalprobability,Bayes'rule德育目标2-1, 2-2Moral Objectives条件概率、独立性：全概法则：贝叶斯法则重点：Conditional probability,independence; The law of total probability,Key PointsBayes' rule难点：全概法则：贝叶斯法则Focal pointsThelaw oftotal probability,Bayes'rule知识单元序号：支撑教学目标：31-1,1-2,1-4, 1-5Knowledge Unit No.SLOs Supported随机变量和概率分布知识单元名称Unit TitleRandomVariablesandProbabilityDistribution随机变量；离散和连续变量Random variables, discrete and continuous离散型概率分布Discrete probability distributions知识点：连续型概率分布Knowledge DeliveryContinuous probabilitydistributions联合、边际和条件概率分布Joint, marginal and conditional probability统计独立Statistical independence了解：随机变量RecognizeRandom Variables学习目标理解：各种概率分布及统计独立Learning ObjectivesUnderstandAll kinds of probabilitydistributions掌握：各种概率分布及统计独立

知识单元名称 Unit Title 概率 Probability 知识点: Knowledge Delivery 事件；样本点计数；事件的概率 Events; Counting outcomes; Probability of events 条件概率、独立性及乘积法则 Conditional probability, independence and the product rule 全概法则；贝叶斯法则 The law of total probability; Bayes' rule 学习目标: Learning Objectives 了解: Recognize 事件；样本点计数 Events; Counting outcomes 理解: Understand 事件的概率 Probability of events; 掌握: Master 条件概率、独立性及乘积法则；全概法则；贝叶斯法 则 Conditional probability, independence and the product rule; The law of total probability; Bayes' rule 德育目标 Moral Objectives 2-1，2-2 重点: Key Points 条件概率、独立性；全概法则；贝叶斯法则 Conditional probability; independence; The law of total probability; Bayes' rule 难点: Focal points 全概法则；贝叶斯法则 The law of total probability; Bayes' rule 知识单元序号: Knowledge Unit No. 3 支撑教学目标: SLOs Supported 1-1，1-2，1-4，1-5 知识单元名称 Unit Title 随机变量和概率分布 Random Variables and Probability Distribution 知识点: Knowledge Delivery 随机变量；离散和连续变量 Random variables, discrete and continuous 离散型概率分布 Discrete probability distributions 连续型概率分布 Continuous probability distributions 联合、边际和条件概率分布 Joint, marginal and conditional probability 统计独立 Statistical independence 学习目标: Learning Objectives 了解: Recognize 随机变量 Random Variables 理解: Understand 各种概率分布及统计独立 All kinds of probability distributions 掌握: 各种概率分布及统计独立

MasterAllkinds of probabilitydistributions德育目标2-1, 2-2Moral Objectives重点：各种概率分布及统计独立Key PointsAllkindsof probabilitydistributions难点：联合概率分布Focal pointsJoint probability distributions知识单元序号支撑教学目标41-1, 1-2,1-4, 1-5Knowledge Unit No.SLOs Supported数学期望知识单元名称Unit TitleMathematical Expectation随机变量的期望Expectedvalueofarandomvariable方差和协方差知识点：Variance and covariance of random variablesKnowledge Delivery随机变量线性组合的均值和方差Means and variances of linear combinations切比雪夫定理Chebyshev's Theorem了解：切比雪夫定理RecognizeChebyshev'sTheorem理解:随机变量线性组合的均值和方差学习目标：UnderstandMeans andvariancesof linearcombinationsLearning Objectives随机变量的期望：方差和协方差掌握：Expectedvalueofarandomvariable;VarianceandMastercovarianceofrandomvariables德育目标2-1, 2-2Moral Objectives重点：随机变量的方差Key PointsVariance难点：随机变量线性组合的均值和方差Focal pointsMeansandvariancesof linearcombinations知识单元序号：支撑教学目标：51-1, 1-2, 1-4, 1-5Knowledge Unit No.SLOs Supported知识单元名称几个离散型概率分布Unit TitleSome Continuous Probability Distributions离散概率分布介绍Introductiontodiscreteprobabilitydistributions知识点：二项分布Knowledge DeliveryBinomial distribution超几何分布

Master All kinds of probability distributions 德育目标 Moral Objectives 2-1，2-2 重点: Key Points 各种概率分布及统计独立 All kinds of probability distributions 难点: Focal points 联合概率分布 Joint probability distributions 知识单元序号: Knowledge Unit No. 4 支撑教学目标: SLOs Supported 1-1，1-2，1-4，1-5 知识单元名称 Unit Title 数学期望 Mathematical Expectation 知识点: Knowledge Delivery 随机变量的期望 Expected value of a random variable 方差和协方差 Variance and covariance of random variables 随机变量线性组合的均值和方差 Means and variances of linear combinations 切比雪夫定理 Chebyshev's Theorem 学习目标: Learning Objectives 了解: Recognize 切比雪夫定理 Chebyshev's Theorem 理解: Understand 随机变量线性组合的均值和方差 Means and variances of linear combinations 掌握: Master 随机变量的期望；方差和协方差 Expected value of a random variable; Variance and covariance of random variables 德育目标 Moral Objectives 2-1，2-2 重点: Key Points 随机变量的方差 Variance 难点: Focal points 随机变量线性组合的均值和方差 Means and variances of linear combinations 知识单元序号: Knowledge Unit No. 5 支撑教学目标: SLOs Supported 1-1，1-2，1-4，1-5 知识单元名称 Unit Title 几个离散型概率分布 Some Continuous Probability Distributions 知识点: Knowledge Delivery 离散概率分布介绍 Introduction to discrete probability distributions 二项分布 Binomial distribution 超几何分布

Hypergeometric distribution负二项分布和几何分布Negative binomial and geometric distributions泊松分布和泊松过程Poisson distribution and the Poisson process了解:离散概率分布介绍Introduction todiscreteprobabilitydistributionsRecognize超几何分布；负二项分布和几何分布；泊松分布和泊松过程理解：学习目标：Hypergeometric distribution; Negative binomial andLearning ObjectivesUnderstandgeometric distributions; Poisson distribution and thePoissonprocess掌握：二项分布MasterBinomial distribution德育目标2-1, 2-2Moral Objectives重点：二项分布Key PointsBinomial distribution难点：泊松分布和泊松过程Focal pointsPoisson distributionandthePoisson process知识单元序号：支撑教学目标61-1, 1-2, 1-4, 1-5Knowledge Unit No.SLOs Supported知识单元名称几个连续型概率分布Unit TitleSomeContinuous ProbabilityDistribution连续型分布Continuous distributions正态分布；正态分布下的面积；正态分布的应用Uniform distribution, Normal distribution; Area under the normal知识点：curve;Applicationsofnormal distributionKnowledge Delivery二项分布的正态近似Normal approximation to the Binomial distribution指数分布Exponential distribution了解：连续型分布RecognizeContinuous distributions二项分布的正态近似；指数分布理解：学习目标：Normal approximation to the Binomial distribution,UnderstandLearning ObjectivesExponential distribution正态分布；正态分布下的面积；正态分布的应用掌握：Uniform distribution; Normal distribution, Area underMasterthenormal curve,Applicationsof normal distribution德育目标2-1, 2-2Moral Objectives

Hypergeometric distribution 负二项分布和几何分布 Negative binomial and geometric distributions 泊松分布和泊松过程 Poisson distribution and the Poisson process 学习目标: Learning Objectives 了解: Recognize 离散概率分布介绍 Introduction to discrete probability distributions 理解: Understand 超几何分布；负二项分布和几何分布；泊松分布和泊 松过程 Hypergeometric distribution; Negative binomial and geometric distributions; Poisson distribution and the Poisson process 掌握: Master 二项分布 Binomial distribution 德育目标 Moral Objectives 2-1，2-2 重点: Key Points 二项分布 Binomial distribution 难点: Focal points 泊松分布和泊松过程 Poisson distribution and the Poisson process 知识单元序号: Knowledge Unit No. 6 支撑教学目标: SLOs Supported 1-1，1-2，1-4，1-5 知识单元名称 Unit Title 几个连续型概率分布 Some Continuous Probability Distribution 知识点: Knowledge Delivery 连续型分布 Continuous distributions 正态分布；正态分布下的面积；正态分布的应用 Uniform distribution; Normal distribution; Area under the normal curve; Applications of normal distribution 二项分布的正态近似 Normal approximation to the Binomial distribution 指数分布 Exponential distribution 学习目标: Learning Objectives 了解: Recognize 连续型分布 Continuous distributions 理解: Understand 二项分布的正态近似；指数分布 Normal approximation to the Binomial distribution; Exponential distribution 掌握: Master 正态分布；正态分布下的面积；正态分布的应用 Uniform distribution; Normal distribution; Area under the normal curve; Applications of normal distribution 德育目标 Moral Objectives 2-1，2-2

重点：正态分布及应用Key PointsApplications of normal distribution难点：指数分布Focal pointsExponential distribution知识单元序号：支撑教学目标：71-1, 1-2, 1-4, 1-5Knowledge Unit No.SLOs Supported知识单元名称基本的抽样分布和描述性数据分析Unit TitleFundamental Sampling Distributions and Data Descriptions随机抽样；总体和样本：一些重要的统计量Random sampling,Populationand sample,Someimportant statistics抽样分布；抽样分布的均值知识点：Sampling distributions; Sampling distribution of the meanKnowledge Delivery中心极限定理The Central Limit Theorem方差的抽样分布；F分布Sampling distribution of S2,F-distribution了解：方差的抽样分布；F分布RecognizeSamplingdistribution of S2;F-distribution理解：中心极限定理学习目标UnderstandTheCentral LimitTheoremLearning Objectives随机抽样：总体和样本：一些重要的统计量：抽样分掌握：布的均值MasterRandom sampling,Population andsample;Someimportant statistics, Sampling distribution of the mean德育目标2-1, 2-2Moral Objectives重点：随机抽样；抽样分布Key PointsRandom sampling,Sampling distributions难点：抽样分布的均值：方差的抽样分布Focal pointsSamplingdistribution ofthe mean; Sampling distribution of S2知识单元序号支撑教学目标81-1, 1-2, 1-4, 1-5Knowledge Unit NoSLOs Supported单样本和两样本的估计问题知识单元名称Unit TitleOne-andTwo-SampleEstimationProblems统计推断：点估计和区间估计Statistical inferencePoint and interval estimates均值估计：置信区间和标准误知识点：Estimating a mean; Confidence intervals; Standard errorKnowledge Delivery预测区间Prediction intervals两样本均值之差的估计：配对观测Estimating thedifferencebetweentwomeans; Paired observations

重点: Key Points 正态分布及应用 Applications of normal distribution 难点: Focal points 指数分布 Exponential distribution 知识单元序号: Knowledge Unit No. 7 支撑教学目标: SLOs Supported 1-1，1-2，1-4，1-5 知识单元名称 Unit Title 基本的抽样分布和描述性数据分析 Fundamental Sampling Distributions and Data Descriptions 知识点: Knowledge Delivery 随机抽样；总体和样本；一些重要的统计量 Random sampling; Population and sample; Some important statistics 抽样分布；抽样分布的均值 Sampling distributions; Sampling distribution of the mean 中心极限定理 The Central Limit Theorem 方差的抽样分布；F 分布 Sampling distribution of S^2; F-distribution 学习目标: Learning Objectives 了解: Recognize 方差的抽样分布；F 分布 Sampling distribution of S^2; F-distribution 理解: Understand 中心极限定理 The Central Limit Theorem 掌握: Master 随机抽样；总体和样本；一些重要的统计量；抽样分 布的均值 Random sampling; Population and sample; Some important statistics; Sampling distribution of the mean 德育目标 Moral Objectives 2-1，2-2 重点: Key Points 随机抽样；抽样分布 Random sampling; Sampling distributions 难点: Focal points 抽样分布的均值；方差的抽样分布 Sampling distribution of the mean; Sampling distribution of S^2 知识单元序号: Knowledge Unit No. 8 支撑教学目标: SLOs Supported 1-1，1-2，1-4，1-5 知识单元名称 Unit Title 单样本和两样本的估计问题 One- and Two-Sample Estimation Problems 知识点: Knowledge Delivery 统计推断；点估计和区间估计 Statistical inference; Point and interval estimates 均值估计；置信区间和标准误 Estimating a mean; Confidence intervals; Standard error 预测区间 Prediction intervals 两样本均值之差的估计；配对观测 Estimating the difference between two means; Paired observations