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教學大綱暨計畫 Syllabus & Teaching Plan
課程名稱
Course Name
隨機程序
Stochastic Processes
系所課號
Curriculum No.
GET8026
學年期 / 課號
Semester / Serial No
110  - 1  / 0608
修別
Required/Elective
選修
授課方式
Course Type
課堂教學+小組討論
開課班級
Class
工程博一
講授-實習-學分
Credits
3-0-3
上課時間教室
Schedule/Classroom
2-BCD/EL102
授課教師(教師所屬系所)
Instructor(Department)
紀光輝(電機系),柯丹尼(電機系)
人數上限
Max
教師聯絡資訊E-mail及分機(可洽詢教師所屬系所)
Instructor’s E-mail and Ext.(contact the department)
chikh@yuntech.edu.tw / 4245,dcdaniel@yuntech.edu.tw
備註
Instructor
1100925停開
課程簡介
Course Introduction
The course provides an introduction of random processes, Markov chains, and queuing theory. Although it requires knowledge in probability theory and random variables, along the first 6 weeks an overview of these fundamental concepts will be offered for a better understanding of the course.

The principal instructor is Prof. Daniel B. da Costa, whose biography is available at https://sites.google.com/site/danielbenevides81/

教學目標
Teaching Objectives
Stochastic Processes has been a core course of Communications Engineering. This course aims to introduce students to the fields of random processes, Markov chains, and queuing theory, with stepstone training to become communications engineers and professionals.
評量方式
Evaluation methods
Assignments and exams: 8 homework problems, one midterm exam, and one final exam.

Grading criteria - homework problems: 40%, midterm exam: 30%, final exam: 30%.

Regarding homeworks, there will be a mix of mathematical exercises (solving of problems) and computer methods (generation of random variables, random processes, Markov chains, etc). They will be discussed along the classes and will serve to consolidate the technical content.
課業輔導時間
Office hours
Tuesday 9:00--12:00
教材網站資訊
Teaching Materials
https://eclass.yuntech.edu.tw/
教學計畫附件
Attachment File
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