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
隨機過程與模型專題 主題可包括一般隨機過程、馬可夫鏈與過程、更新過程、分支理論、平穩過程、隨機模型、蒙地卡羅模擬與相關主題。使用 SAS、Maple 或其他統計套件。每週講授 3 小時；實驗/輔導 1 小時。先修：STAT (MATH) 3P85 或授課教師許可。註：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中之適用學期。完成本課程將取代先前在 MATH 4P84 所獲之成績與學分。
先修條件
- 先修：STAT (MATH) 3P85 或授課教師許可。
條件與方式
- 先修：STAT (MATH) 3P85 或授課教師許可。
- 註：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中之適用學期。完成本課程將取代先前在 MATH 4P84 所獲之成績與學分。
原文參考文本
Topics in Stochastic Processes and Models Topics may include general stochastic processes, Markov chains and processes, renewal process, branching theory, stationary processes, stochastic models, Monte Carlo simulations and related topics. Use of SAS, Maple or other statistical packages. Lectures, 3 hours per week; lab/tutorial, 1 hour per week. Prerequisite(s): STAT (MATH) 3P85 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. Completion of this course will replace previously assigned grade and credit obtained in MATH 4P84.
- Prerequisite(s): STAT (MATH) 3P85 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. Completion of this course will replace previously assigned grade and credit obtained in MATH 4P84.
來源與參考
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來源參考 : https://brocku.ca/webcal/2024/undergrad/math.html