課程資料
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4009 統計學
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開課學期：1141
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開課班級：
氣質系 2A, 地理系 2, 氣質系 3B
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授課教師：洪念民
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必修
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學期課
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學分數：3.0
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大義 0407 星期四 14:10-17:00
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4009 STATISTICS
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2025 Fall
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Department of Atmospheric and Geological Sciences 2A, Department of Geography 2, Department of Atmospheric and Geological Sciences 3B
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Professor：HONG, NIEN-MING
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Required
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Semester
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Credits:
3.0
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Da Yi 0407 Thursday 14:10-17:00
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發展願景
傳揚中華文化，促進跨領域創新，與時精進，邁向國際
It is our objective to promote Chinese culture, enhance cross-disciplinary innovation, seek constant advancement, and embrace global community.
辦學宗旨
秉承質樸堅毅校訓，承東西之道統，集中外之精華，研究高深學術, 培養專業人才，服務社會，致力中華文化之發揚, 促進國家發展.
Based on our motto—“Temperament, Simplicity, Strength, and Tenacity,” “inheriting the merits of the East and the West” and “absorbing the essence of Chinese and foreign cultures,” we make it our mission to pursue advanced research, develop professional talents, serve the society, promote Chinese culture and support national development.
校教育目標
校基本素養
校核心能力
院教育目標
奠定自然科學與工程基礎，培養持續學習與創新能力。Establishing a strong foundation in science and engineering, fostering continuous learning and innovation.
強化理論與實務並重，發展多元且跨領域的專業課程。Providing theoretical and practical training through diverse, interdisciplinary curricula.
推動產學合作與國際交流，提升學生之全球競爭力。Enhancing global competitiveness through collaboration with academia, industry and international partners.
培育具備系統整合、科技創新與社會責任的專業人才。Cultivating professionals equipped with system integration, technological innovation, and social responsibility.
院核心能力
自然科學理論與工程知識之整合應用。Integrated application of scientific theories and engineering knowledge.
問題分析、實驗設計與實作驗證之能力。Ability to analyze problems, design experiments, and validate solutions through practical implementation.
邏輯性思考與科技運用之能力。Logical thinking and effective use of technology.
跨領域整合與創新研發。Cross-disciplinary integration and innovative research and development.
國際視野、團隊合作與溝通協調之能力。Global perspectives, teamwork, and effective communication skills.
具備職業倫理與社會責任之專業態度。Professional attitude with a commitment to ethics and social responsibility.
系教育目標
培養具有大氣科學相關知識之基礎人才
Cultivating foundational talents with knowledge in atmospheric science
培養具有大氣科學相關知識之技術人才
Nurturing technical skills with expertise in atmospheric science
系核心能力
具有數理基礎能力
Mathematical proficiency
具有專業知識能力
Expertise in atmospheric sciences
具有實驗觀測能力
Ability to conduct experiments and observations
具有電腦應用能力
Programming skills
具有獨立思考能力
Critical thinking
課程目標
能夠借助統計軟體工具R佐基本統計分析。
課程能力
具有數理基礎能力
Mathematical proficiency (比重 20%)
具有專業知識能力
Expertise in atmospheric sciences (比重 20%)
具有實驗觀測能力
Ability to conduct experiments and observations (比重 20%)
具有電腦應用能力
Programming skills (比重 20%)
具有獨立思考能力
Critical thinking (比重 20%)
課程概述
統計學是一門蒐集、組織、並解釋數值事實的科學。隨著在運算與製作圖表之細節上自動化的持續發展，對資料的洞見與統計概念之強調等無法自動化的部分亦日形重要。本課程針對地理學常用之古典統計分析，介紹此部分工具在地理資料之統計分析上的實際應用。授課內容包括古典統計理論介紹，並借助統計軟體工具R，以輔佐統計分析所需之複雜公式的計算。授課內容係依據所採用之教科書，以易於瞭解的方式，扼要地說明統計分析的技術與實用向度。除了統計結果的計算技巧外，同時檢視統計分析的脈絡，教導如何避免在這些工具使用上常見的技術錯誤與誤用。Statistics is the science of collection, organizing, and interpreting numerical facts. As the continuing revolution in computing automates the details of doing calculations and making graphs, an emphasis on statistical concepts and on insight from data becomes both more practical and more important for users who must supply what is not automated. This course provides you with an introduction into using classic statistical analysis in geography with main goal of providing you with a strong foundation in the practical application of statistical analysis with a focus on geographic data. To these ends we will employ R as tools to help calculate the intricate, but straight-forward, formulas needed to conduct statistical analysis. We will rely heavily on the textbook which does a good job of concisely explaining the technical and practical side of statistical analysis in an easy to understand manner. Beyond the technical aspects of calculating statistical results, we will also examine the contextual side of statistical analysis, trying to avoid many of the pitfalls and misuses of these techniques that seem to be so prevalent in many attempted usages of these helpful tools.
授課內容
統計學是一門蒐集、組織、並解釋數值事實的科學。隨著在運算與製作圖表之細節上自動化的持續發展，對資料的洞見與統計概念之強調等無法自動化的部分亦日形重要。本課程針對地理學常用之古典統計分析，介紹此部分工具在地理資料之統計分析上的實際應用。授課內容包括古典統計理論介紹，並借助excel軟體，以輔佐統計分析所需之複雜公式的計算。授課內容係依據所採用之教科書，以易於瞭解的方式，扼要地說明統計分析的技術與實用向度。除了統計結果的計算技巧外，同時檢視統計分析的脈絡，教導如何避免在這些工具使用上常見的技術䧟阱與誤用。
Statistics is the science of collection, organizing, and interpreting numerical facts. As the continuing revolution in computing automates the details of doing calculations and making graphs, an emphasis on statistical concepts and on insight from data becomes both more practical and more important for users who must supply what is not automated. This course provides you with an introduction into using classic statistical analysis in geography with main goal of providing you with a strong foundation in the practical application of statistical analysis with a focus on geographic data. To these ends we will employ excel as tools to help calculate the intricate, but straight-forward, formulas needed to conduct statistical analysis. We will rely heavily on the textbook which does a good job of concisely explaining the technical and practical side of statistical analysis in an easy to understand manner. Beyond the technical aspects of calculating statistical results, we will also examine the contextual side of statistical analysis, trying to avoid many of the pitfalls and misuses of these techniques that seem to be so prevalent in many attempted usages of these helpful tools.
授課方式
每週授課內容包括理論講授與實際操作(包括EXCEL)演練。
評量方式
上課用書
（師生應遵守智慧財產權觀念及不得不法影印、下載及散布）
統計學入門(羅文陽、巫佳煌)，普林斯頓，高立出版(本課程務必購買課本或統計學用書)
參考書目
（師生應遵守智慧財產權觀念及不得不法影印、下載及散布）
方世榮、張文賢，2020，基礎統計學（六版），台北市：華泰。
Berenson, M. L., Levine, D. M. and Krehbiel, T. C. (2006): Basic business statistics, 10th ed., Upper Saddle River, N.J.: Pearson.
Ebdon, D. (1985) Statistics in geography: a practical approach. Blackwell.
Gregory, S. (1978) Statistical methods and the geographer, Longman.
Hammond, P. and McCullagh, P.S. (1978) Quantitative techniques in geography: an introduction, Oxford University Press.
Johnson, R. A. and Bhattacharyya G. K. (2011) Statistics: Principles and Methods, sixth edition, Wiley
Longley, P. A. and Batty, M. eds. (2003): Advanced spatial analysis. Redlands, ESRI Press.
Moore, D. S., McCabe, G. P. and Craig, B. A. (2009): Introduction to the practice of statistics, 6th ed., New York: W. H. Freeman and Company.
Walford, N. (1995) Geographical data analysis. Wiley.
楊世瑩 （2004）Excel在統計上的應用，台北市：旗標
Noori, R., Karbassi, A. R., Moghaddamnia, A., Han, D., Zokaei-Ashtiani, M. H., Farokhnia, A., & Gousheh, M. G. (2011). Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction. Journal of Hydrology, 401(3), 177-189.
課程需求
要報告
課程安排簡易的基礎分析(配合章節內容之假設檢定)
要考試兩次期中評量
期中評量1
期中評量2
期末考試
EXCEL上機考試
輔導時間
教師聯絡資訊
Email：hnm@ulive.pccu.edu.tw
分機：17901
課程進度
| 2024/11/14 | CH10類別資料分析(期中評量2) |