2 項進行中

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 進行中 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

加入行事曆

選擇訂閱 Google Calendar,或下載通用的 ICS 檔案。

使用 Google Calendar 時,Google 會收到這份課表的公開連結。

作業研究(二)

Operations Research (II)

學期
114-2
學分
3 學分
當期課號
517013
永久課號
MGCM10003
開課單位
工業工程與管理學系跨域學程(B)外系學生、資訊管理與財務金融系、工業工程與管理學系、管理科學系、管理學院共同課程、運輸與物流管理學系
授課教師
王晉元
校區
光復
類別
必修
上課時間表
週二
2
09:00–09:50
作業研究(二)
AB101(光復)
3 節連堂
3
10:10–11:00
4
11:10–12:00

* 根據陽明交大上課時間表所列

概述

This is the second course that introduces deterministic and probabilistic optimization models such as dynamic programming, integer programming, nonlinear programming, Markov chain and queueing theory. This course focuses on modeling approaches, fundamental solution methodologies and their applications to the real world.

先修科目

Calculus and Probability Theory

備註

無備註

教學方式

演習課教學助理每週舉行課程及作業講解,學生可自由參加。(The homework assignments will be lectured by our Teaching Assistant weekly and students' participation is optional.) 相關教學資料提供於教學平台。 (Relevant teaching materials are provided on the Virtual Learning Environment.) https://e3.nycu.edu.tw *** 詳情請至 [教材列表] 下載課程綱要。

評分方式

學期作業、考試、評量 (Homework, Examination, and Grading): 成績評量方法 (Grading): (a) 二次共同考試 (Two Common Examinations):Total 70% (35% for each exam). (b) 平時成績 (Individual Homework Assignments, Attendance, and Others): Total 30% *** 考試時間、詳情平時成績分配方法,請至 [教材列表] 下載課程綱要。

課程大綱
  • DTMC, CTMC, and Queueing Theory

    Introduce the fundamental theory and applications of Queue Systems

    講授:
    13
  • Integer Programming and Discrete Optimization

    Introduce the integer programming formulation and solution techniques

    講授:
    13
  • Non-linear Programming

    Introduce the fundamental theory and applications of Non-linear Programming

    講授:
    13
  • Stochastic Process and Markov Chain

    Introduce the fundamental theory and applications of Markov Chain

    講授:
    9
週次計畫
週次主題
第 1 週

28.1 Stochastic Processes 28.2 Markov Chains

2026-02-24(二)
第 2 週

28.3 Chapman-Kolmogorov Equations 28.4 Classification of States of a Markov Chain

2026-03-03(二)
第 3 週

28.5 Long-Run Properties of Markov Chain

2026-03-10(二)
第 4 週

28.6 First Passage Times 28.7 Absorbing States

2026-03-17(二)
第 5 週

17.1 Prototype Example 17.2 Basic Structure of Queueing Models 17.3 Examples of Real Queueing Systems 17.4 The Role of the Exponential Distribution

2026-03-24(二)
第 6 週

17.5 The Birth-and-Death Process 17.6 Queueing Models Based on the Birth-and-Death Process

2026-03-31(二)
第 7 週

17.9 Queueing Networks 12.1 Prototype Example 12.2 Some BIP Applications

2026-04-07(二)
第 8 週

Midterm Exam (35%)

2026-04-14(二)
第 9 週

12.3 Innovative Uses of Binary Variables in Model Formulation 12.4 Some Formulation Examples 12.5 Some Perspectives on Solving Integer Programming Problem

2026-04-21(二)
第 10 週

12.6 The Branch-and-Bound Technique and its Application to Binary integer Programming 12.7 A Branch-and-Bounds Algorithm for the Mixed Integer Programming

2026-04-28(二)
第 11 週

13.1 Sample applications 13.2 Graphical Illustration of Nonlinear Programming Problems

2026-05-05(二)
第 12 週

13.3 Types of Nonlinear Programming Problems 13.4 One-Variable Unconstrained Optimization

2026-05-12(二)
第 13 週

13.5 Multivariable Unconstrained Optimization

2026-05-19(二)
第 14 週

13.6 The Karush-Kuhn-Tucker(KKT) Conditions for Constrained Optimization

2026-05-26(二)
第 15 週

13.7 Quadratic Programming

2026-06-02(二)
第 16 週

Final Exam (35%)

2026-06-09(二)
教科書

Frederick S. Hillier and Gerald J. Lieberman, Introduction to Operations Research, 11th Edition, McGraw-Hill, 2021.

Office Hours
地點
各授課教師另行公布 (To Be Announced)
時間
各授課教師另行公布 (To Be Announced)
聯絡方式
各授課教師另行公布 (To Be Announced)