CS 5291-0

Brief

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

Description

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。 若學生利用AI協助撰寫作業，須於課堂作業或報告中的「標題頁註腳」或「引用文獻」中簡要說明其使用方式。若經查核使用卻無在作業或報告中標明，教師、學校或相關單位有權重新針對作業或報告重新評分或不予計分。 八、可連結之網頁位址 https://eeclass.nthu.edu.tw/ http://www.cs.nthu.edu.tw/~jungchuk/

Timetable

Remarks

Restrictions

Compulsory

Elective

Cross Discipline

First Specialization

Second Specialization