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課程簡介 Course Introduction
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開課年度學期 Year / Term
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113 學年度 第 2 學期
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開課班級 Department
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電機工程學系碩士班 電機系碩一二合
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授課方式 Instructional Method
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課堂教學 、 英語-不加成
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課程電腦代號 Course Reference Number
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182067
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課程名稱(中文) Course Title(Chinese)
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效能分析導論(一)
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課程名稱(英文) Course Title(English)
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Introduction to Performance Analysis (I)
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學分數/時數 Credit Hours
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3 /
3
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必(選)修 Requirement / Elective Course
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選修
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授課老師 Instructor
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梁家銘
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助教 Teaching Assistant
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上課時間 Meeting Time
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星期一，節次D、E、F
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上課教室 Classroom
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ZB205
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Office Hours
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梁家銘：3333/89AB
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| 獲獎及補助情形 Awards and Grants |
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| 聯合國永續發展目標 (SDGs跨域類別) Sustainable Development Goals, SDGs |
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SDGs 09.
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工業化、創新及基礎建設：建立具有韌性的基礎建設，促進包容且永續的工業，並加速創新
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課程目標 Learning Objectives
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This course aims to provide students with a comprehensive understanding of system performance analysis. By utilizing fundamental mathematical tools and modeling techniques, students will develop the ability to analyze computer service and integrated software-hardware platforms. The course covers Markov chains, queueing models, and system performance evaluation methods to enhance students' analytical skills in system analysis. In the latter part of the course, paper studies and project designs will be employed to conduct practical performance evaluations.
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先修 ( 前置 ) 課程 Prerequisite
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Two prerequisite courses (先修課程-兩門)):
1. Introduction to Optimization Research (最佳化研究導論)
2. Special Topics in Optimization (I) & (II) (最佳化專論(一)(二))
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| 彈性教學規劃 Flexible Teaching/Planning Schedules |
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課程大綱 Course Syllabus
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| 週次 Week |
課程單元大綱 Unit |
教學方式 Instructional Method/Style/Teaching Style |
參考資料或相關作業 References or Related Materials |
評量方式 Grading |
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1
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Introduction
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Lecture,Problem-Based Learning
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Exercise
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2
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Fundamental Concepts and Performance Measures
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Lecture,Problem-Based Learning
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Exercise
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3
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Probability & Statistics
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Lecture,Problem-Based Learning
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Exercise
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4
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Probability Distributions
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Lecture,Problem-Based Learning
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Exercise
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5
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Queueing Problem & Processes
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Lecture,Problem-Based Learning
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Exercise
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6
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Little’s Formula
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Lecture,Problem-Based Learning
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Exercise
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7
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Poisson & Markovian Properties
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Lecture,Problem-Based Learning
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Exercise
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8
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Stochastic Processes and Markov Chains
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Lecture,Problem-Based Learning
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Exercise
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9
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Mid-term
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Exam
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Exam
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10
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Paper Study
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Report, Problem-Based Learning
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Assignments
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11
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Paper Study
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Report, Problem-Based Learning
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Assignments
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12
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Paper Study
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Report, Problem-Based Learning
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Assignments
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13
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Paper Study
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Report, Problem-Based Learning
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Assignments
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14
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Paper Study
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Report, Problem-Based Learning
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Assignments
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15
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Paper Study
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Report, Problem-Based Learning
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Assignments
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16
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Paper Study
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Report, Problem-Based Learning
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Assignments
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17
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Project Design
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Report, Problem-Based Learning
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Assignments
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18
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Project Demo
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Report, Problem-Based Learning
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Project Demo
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單一課程對應校能力指標程度 The Degree to Which Single Course Corresponds to School Competence
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| 編號 No. |
校核心能力 School Core Competencies |
符合程度 Degree of conformity |
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1
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公民力 (Citizen)
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3
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2
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自學力 (Self-learning)
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5
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3
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資訊力 (Information)
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5
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4
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創造力 (Creativity)
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5
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5
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溝通力 (Communication)
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5
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6
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就業力(Employability)
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4
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單一課程對應系能力指標程度 The Degree to Which Single Course Corresponds to Department Competence
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| 編號 No. |
類別 Category |
系核心能力 Department Core Competencies |
符合程度 Degree of conformity |
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01
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系所
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具備專業知識運作及運用之能力
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5
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02
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系所
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發掘問題、實驗分析及驗證之能力
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5
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03
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系所
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創新思考開發之能力
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5
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04
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系所
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協調合作、領導團隊與管理規劃之能力
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3
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05
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系所
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中英文寫作與簡報之能力
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5
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06
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系所
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強化國際觀與國際交流之能力
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5
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單一課程對應院能力指標程度 The Degree to Which Single Course Corresponds to College Competence
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| 編號 No. |
院核心能力 College Core Competencies |
符合程度 Degree of conformity |
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1
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語文能力
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5
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2
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溝通與合作能力
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4
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3
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創新與實踐能力
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5
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4
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專業知能
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5
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教科書或參考用書 Textbooks or Reference Books
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館藏書名 Library Books
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備註 Remarks
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1. Research papers.
2. D. Gross, J. F. Shortle, J. M. Thompson, C. M. Harris, "Fundamentals of Queueing Theory (Fourth Edition)," Wiley, 2008.
3. Paul J. Fortier and Howard E. Michel, Computer Systems Performance Evaluation and Prediction, digital press, 2003.
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※請尊重智慧財產權，不得非法影印教科書※
※ Please respect intellectual property rights and do not illegally photocopy textbooks. ※
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教學方法 Teaching Method
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教學方法 Teaching Method
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百分比 Percentage
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Literature Review
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50 %
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Practice of Projects
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50 %
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| 總和 Total |
100 % |
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成績評量方式 Grading
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| 評量方式 Grading |
百分比 Percentage |
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Midterm Exam
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30 %
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Paper presentation
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30 %
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Final Project Demo
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40 %
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| 總和 Total |
100 % |
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成績評量方式補充說明
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1. Mid-term Exam (30%)
2. Paper presentation (30%)
3. Final project (40%)
The instructor reserves the right to modify the syllabus and adjust the grading distribution as necessary.
Office Hours: TBD
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課程大綱補充資料 Supplementary Material of Course Syllabus
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