Holiday
DELTA台達104 T7T8R7
This course will cover the fundamental theory of random processes with emphasis on applications to a variety of networks. This is a basic yet important course for students pursuing studies in these fields. The tentative topics this course will cover include (but not limited to): - Preliminaries - Poisson Process - Renewal Process - Markov Chains - Markov Process
Course keywords: random process, poisson process, renewal process, Markov chain, Markov process 一、課程說明(Course Description) This course will cover the fundamental theory of random processes with emphasis on applications to a variety of networks. This is a basic yet important course for students pursuing studies in these fields. 二、指定用書(Text Books) Sheldon M. Ross, “Introduction to Probability Models”, 10th Ed., Academic Press. 三、參考書籍(References) Sheldon M. Ross, “Stochastic Processes”, John Wiley & Sons, Inc., 1996. Edward P.C. Kao, “An Introduction to Stochastic Processes”, Wadsworth Publishing Company, 1997. Robert G. Gallager, “Discrete stochastic processes”, Kluwer Academic Publishers, 1996. 四、教學方式(Teaching Method) Weekly lectures plus reading assignments and homework. 五、教學進度(Tentative Syllabus) Preliminaries Poisson Process Renewal Process Markov Chains Markov Process 六、成績考核(Tentative Evaluation) Homework (0 - 20%) Exams (60% - 80 %) In-class quiz (0 - 10%) Participation (0 - 20%) 七、AI 使用規則 本課程內容無涉及AI使用。若使用AI來撰寫作業或是報告,請註明其使用方式。 八、可連結之網頁位址 https://eeclass.nthu.edu.tw/ http://www.cs.nthu.edu.tw/~jungchuk/
MON | TUE | WED | THU | FRI | |
08:00108:50 | |||||
09:00209:50 | |||||
10:10311:00 | |||||
11:10412:00 | |||||
12:10n13:00 | |||||
13:20514:10 | |||||
14:20615:10 | |||||
15:30716:20 | |||||
16:30817:20 | |||||
17:30918:20 | |||||
18:30a19:20 | |||||
19:30b20:20 | |||||
20:30c21:20 |
Average Percentage 85.93
Std. Deviation 9.39
16週課程。
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