此參考說明所註明的目錄。請向該機構確認當前課程供給與適用於你入學的條件。
課程說明
以 R 進行統計運算（亦以 DASA 3P87 開課） R 語言在資料處理、圖形探索與統計分析之入門。經驗資料的單變與多變模型；穩健方法；主成分分析；模型驗證；空間結構與分析。著重上述統計分析方法的計算面。講課每週 3 小時；實驗每週 1 小時。先修科目：STAT 2P98 或 STAT 2P82 或得授課教師許可。注意：本課程可能以多種授課方式提供。授課方式將列於學期課表。數學主修不得列為主修學分。
先修條件
- 先修科目：STAT 2P98 或 STAT 2P82 或得授課教師許可
條件與方式
- 先修科目：STAT 2P98 或 STAT 2P82 或得授課教師許可
- 注意：本課程可能以多種授課方式提供。授課方式將列於學期課表。數學主修不得列為主修學分。
原文參考文本
Statistical Computing with R (also offered as DASA 3P87 ) Introduction to the R language for data manipulation, graphical exploration, and statistical analyses. Univariate and multivariate modelling of empirical data; robust methods; principal component analysis; model validation; spatial structure and analysis. Focus on the computational aspects of the above statistical analysis methods. Lectures, 3 hours per week; Lab, 1 hour per week. Prerequisite(s): STAT 2P98 or STAT 2P82 or permission of the instructor Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Major credit will not be granted to Mathematics majors.
- Prerequisite(s): STAT 2P98 or STAT 2P82 or permission of the instructor
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Major credit will not be granted to Mathematics majors.
來源與參考
保留日期與來源以協助你核實資料。為便於閱讀提供譯文；官方來源為條件與要求的參照。
來源參考 : https://brocku.ca/webcal/2024/undergrad/math.html