该参考描述所示目录。请向院校确认当前的招生项目及适用于您入学年的条件。
描述
随机过程与模型专题 主题可包括一般随机过程、马尔可夫链与马尔可夫过程、更新过程、分支理论、平稳过程、随机模型、蒙特卡洛模拟及相关主题。使用 SAS、Maple 或其他统计软件。讲座，每周 3 小时；实验/辅导，每周 1 小时。先决条件：STAT（MATH）3P85 或授课教师许可。注：该课程可能以多种授课方式提供。授课方式将在相应学期的教学时间表中列出。完成本课程将替换先前在 MATH 4P84 中获得的成绩和学分。
先修课程
- 先决条件：STAT（MATH）3P85 或授课教师许可。
条件与方式
- 先决条件：STAT（MATH）3P85 或授课教师许可。
- 注：该课程可能以多种授课方式提供。授课方式将在相应学期的教学时间表中列出。完成本课程将替换先前在 MATH 4P84 中获得的成绩和学分。
原文参考文本
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.
来源与参考
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来源参考 : https://brocku.ca/webcal/2024/undergrad/math.html