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

本課程將使學生了解如何應用人工智慧與數據科學的技術,改善製造系統的作業效率。分析模型包含了工廠動態學、產能規劃、基因演算法、類神經網路、深度學習、參數篩選、決策樹、集群分析、集成方法等,透過閱讀研究文獻深入瞭解方法與實際問題解決的落差與連結,課程結合資訊與工程領域的相關知識,並藉由演算法的設計及統計的方法有系統地建模以解決實務問題。
This course will provide students to learn how to apply artificial intelligence (AI) and data science (DS) techniques to improve the efficiency of manufacturing systems. The models include genetic algorithm, neural network, feature selection, decision tree, etc. We need to read research literature to fill the gap between methodologies and practice. The course integrates the knowledge domains of the information and engineering, and solves the real problem systematically using the design of metaheuristic algorithms and statistics tools.

課程學習目標 Course Objectives

  • Know the advanced techniques of intelligent manufacturing systems
  • 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
    1Course introduction; Overview
    2Manufacturing System and Capacity Management
    3Inventory and Supply Chain Management
    4Scheduling Problems
    5GA and Scheduling Problems
    6No class (National holiday)
    7Literature review proposal; Metaheuristic: SA, PSO and ACO (Online)
    8Supply Chain Management and Beer Game
    9Midterm exam
    10Game theory; Decision Analysis
    11Markov Decision Processes
    12Literature review presentation (Online)
    13Literature review presentation (Online)
    14Final project proposal; Introduction to Data Mining (Online)
    15Final exam
    16Final project presentation (Online)
    17Final project presentation (Online)
    18No class (National holiday)
     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.

    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?
    Is there any industry specialist invited in this course? How many times?
    2.本課程是否規劃含校外實習(並非參訪)?
    Are there any internships involved in the course? How many hours?
    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?
    Is this course recognized as a Community engagement and Service learning course? Which community will be engaged?