基本素養 Basic Literacy

注重人性的尊嚴、價值與培養自信心
The aim is to emphasize dignity and values of humanity, and cultivate self-confidence.
具備法治觀念與培養尊重及包容的工作態度與倫理
The aim is to learn rules of law education and develop working manner and ethics with honor and tolerance.
熱愛生命,關懷弱勢
The aim is to learn to adore life and to show care for the vulnerable.
培養外語能力並積極參與國際學術活動
The aim is to acquire knowledge and develop capabilities in learning foreign languages and aggressively joining international academic activities.

核心能力 Competence

具備智慧製造資訊與系統領域相關知識之能力。
The aim is to acquire knowledge and capabilities in intelligent manufacturing information and systems.
具備E化製造領域相關知識之能力
The aim is to acquire knowledge and developing capabilities in e-Manufacturing infrastructure.
資訊技術導入工業自動化相關領與能力
The aim is to apply Information and System technology into industry for improving the efficiency and performance of manufacturing technology.
具備獨立思考、分析判斷與解決製造資訊與系統領域問題之能力
The aim is to acquire knowledge and develop capabilities of independently thinking, analyzing, and solving problems in manufacturing information and systems.
具備研究結果分析與判斷之能力
The aim is to acquire knowledge to analize research results.
具備跨領域有效溝通表達的專業語文能力
The aim is to acquire knowledge of efficient communications for crossing research area through professional language expression.
具備研讀及撰寫專業論文之能力
The aim is to acquire knowledge of reading and writing professional papers.
具備組織與領導團隊及從事創新設計之能力
The aim is to acquire knowledge of leadership for team working and innovative design.
具備凝聚團隊精神、創新製造資訊與系統領域實務所需之技術及系統整合溝通之能力
The aim is to acquire knowledge and develop capabilities of solidifying team-working spirit, and acquire knowledge of practical techniques and communication for system integration in the innovative manufacturing information and systems.

課程概述 Course Description

本課程將使學生瞭解作業研究與統計資料科學之理論及其應用,課程內容包含線性規劃、馬可夫鏈、隨機規劃、馬可夫決策過程、等候理論、萬用啟發式演算法、賽局理論、線性迴歸、分類方法、決策樹、支援向量機、非監督式學習和隨機森林等,並以程式實作讓學生撰寫實際問題,使學生具備求解實務產業問題的能力。
This course will enable students to understand the basic theory and applications of operations research and statistical data science. The course content includes linear programming, Markov chain, stochastic programming, Markov decision processes, queueing theory, metaheuristic and its applications, game theory, linear methods for regression, linear methods for classification, decision trees, support vector machines, unsupervised learning, random forests, etc. By writing the program for actual problems, students will have the ability to solve practical industrial problems.

課程學習目標 Course Objectives

  • Know the advanced techniques of operations research and statistical data science
  • Create theoretical model and the program to solve practical problems
  • System development and implementation
  • 課程進度 Progress Description

    進度說明 Progress Description
    1Introduction Review of Linear Programming and Markov Chain
    2SP: Stochastic Programming with Two-stage Recourse Problem
    3MDP: Markov Decision Processes I
    4MDP: Markov Decision Processes II
    5Queueing theory I
    6Queueing theory II
    7Metaheuristic and its applications
    8Game theory
    9Midterm exam
    10Linear Methods for Regression Literature review proposal
    11Linear Methods for Classification
    12Literature review presentation
    13Additive Models, Trees, and Related Methods
    14Support Vector Machines and Flexible Discriminants
    15Unsupervised Learning Final project proposal
    16Random Forests
    17Final project presentation
    18Final exam
     以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.

    課程是否與永續發展目標相關調查
    Survey of the conntent relevant to SDGs

    本課程與SDGs相關項目如下:
    This course is relevant to these items of SDGs as following:
    • 工業、創新與基礎建設 (Industry Innovation and infrastructure)

    有關課程其他調查 Other Surveys of Courses

    1.本課程是否規劃業界教師參與教學或演講? 否
    Is there any industry specialist invited in this course? How many times? No
    2.本課程是否規劃含校外實習(並非參訪)? 否
    Are there any internships involved in the course? How many hours? No
    3.本課程是否可歸認為學術倫理課程? 否
    Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
    4.本課程是否屬進入社區實踐課程? 否
    Is this course recognized as a Community engagement and Service learning course? Which community will be engaged? No