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10402 工程
生產計畫與管制
林則孟

本課程範圍為作業管理中特殊與生產密切關係的生產計劃與管制系統,將著重探討PPC的整體架構及其功能。 因此在理論上將探討數個有關生產計劃與管制的基本功能模式,包括供給與需求,預測,存貨,產 能,總合生產計劃,主排程,物料需求計劃,產能規劃,作業排程,限制理論,生產活動管 制,與精實生產等,並以作業、模擬遊戲與個案輔助學習。 

 

 一、課程說明(Course Description) 
     本課程範圍為作業管理(Operations Management)中特殊與生產密切關係的生產計劃與管制系統 (PPC,Production Planning and Control System),將著重探討PPC的整體架構及其功能。 
     因此在理論上將探討數個有關生產計劃與管制的基本功能模式,包括供給與需求,預測,存貨,產 能,總合生產計劃,主排程,物料需求計劃(MRP),產能規劃,作業排程,限制理論,生產活動管制,與精實生產等,並以作業、模擬遊戲與個案輔助學習。 

 
二、指定用書(Text Books)  
林則孟著,"生產計畫與管理", 華泰,第二版,2012 
                  http://www.books.com.tw/products/0010559076
 

三、參考書籍(References)          
高德拉特(Eliyahu M. Goldratt)等著,齊若蘭譯 ”目標(The Goal)”, 天下文化出版社.
今井正明著,許文治譯 ”現場改善”,McGraw-Hill台灣分公司,1997年 
 

 
四、教學方式(Teaching Method)  
上課 作業線上遊戲與個案討論 
 

五、教學進度(Syllabus) 
1 Introduction of Production Planning and Control 
2 Forecast 
3 Inventory 
4 Capacity 
5 Aggregate Production Planning 
6 Master Production Scheduling(MPS) 
7 Material Requirements Planning(MRP) 
8 Operations Scheduling 
9 TOC(Theory Of Constraints) – DBR(Drum-Buffer-Rope) 
10 Shop Floor Operations and Production Activity Control(PAC) 
11  Lean Productio
 
 
六、成績考核(Evaluation)  
        ◆ Quiz and Class Participation 10% 
         Homeworks (Individual) 20% 
        ◆ Littlefield Game (Team work) 20% 
        ◆ Two Examinations 50% 
10402 工程
計算機程式設計二
陳煥宗
尋找興趣,提早準備,贏在起跑點!!想追求更多課本以外的專業知識嗎? 清華大學開放式課程為你種植了一座學習資源森林,等你來探索!現在就走進開放式課程的森林,品嚐最甜美的知識果實!
 
 
課程概述 Course Description
1 延續計算機程式設計一,繼續鍛鍊程式能力 
2 透過實作來認識資訊工程基礎知識與技術 
修課學生必須具備基本C語言程式能力 
* 三班的上課進度與考試評量標準會統一,多數上課會以廣播的方式,讓三班同時上課。
 
 
指定用書 Text Books 
* 無指定用書 
* 上課教材會公布在 iLMS 
 
   
授課大綱 Syllabus 
1. How to write faster programs? 
Data structures and algorithms 

2 How does a computer run programs?
Compilers and computer systems

3 How to represent and manipulate data? 
Coding and data formatting 

4 How to write big programs?
Object oriented programming and windows programming 

5 How to make programs smarter?
AI and computer gaming 

 
  
授課形式 Teaching Method
* 每週上課四小時: 兩小時教室講課 + 兩小時 Lab 

 

成績考核 Evaluation 

30% Weekly Labs 
30% two midterm exams 
20% final exam
10%  two mini projects 
10%  big project & hackathon 
 
 
 
特殊要求
兩次期中考加上期末考換算成學期總成績之後,總分是 50 分,必須得到 30 分以上 (60%) 。也就是說,期中考期末考平均如果不及格, 學期總成績一定不會及格。
  

 

10401 工程
數位聲訊分析與合成
劉奕汶

介紹信號處理在音樂、語音、或其他日常生活中聽得到的聲訊中的應用:包含分析與合成兩大部分。學生修完本課程,應能對這個領域的核心技術、背景觀念有充分理解......

 

【課程介紹】
    介紹信號處理在音樂、語音、或其他日常生活中聽得到的聲訊中的應用:包含分析與合成兩大部分。學生修完本課程,應能對這個領域的核心技術、背景觀念有充分理解,並對本領域新研究課題有所接觸,以期激發創造力,針對有興趣的課題作更深入的實作研究。建議學生須具備撰寫MATLAB或其他程式語言的能力。
     *預修課程: 信號與系統,線性代數, 或由授課老師許可. 亦歡迎有興趣之大學部高年級同學選修.
 
 
 
【教科書: 無】

【參考資料】
  講義與討論文獻將隨課程之進行而發出。 
  
 
【教學方式】
  Lectures (2 hours/week)
  and group discussion (1 hour/week).
 
【課程大綱】
  Part I (6 weeks)
              Fourier Transform and applications,
              estimation problems and solutions
  Part II (6 weeks): Music and Speech
  Part III (3 weeks): Physiology, psychology, and biomedical
                               applications
Detailed syllabus can be found on the NTHU LMS system
 

【評分方式(Tentative)】
  6 Homework assignments (60%): computer-based.
   Final Group Project (30%)
   Class participation (10%)
10401 工程
系統模擬
桑慧敏

尋找興趣,提早準備,贏在起跑點!!想追求更多課本以外的專業知識嗎? 清華大學開放式課程為你種植了一座學習資源森林,等你來探索!現在就走進開放式課程的森林,品嚐最甜美的知識果實!

 

The course will be taught primarily from CLASS NOTES

◆Reference books
Flexsim 系統模擬技巧入門, 皮托科技, 2015
Flexsim Manu
Barry L. Nelson, Stochastic Modeling, McGraw-Hill International Editions, 1995.
◆  Law and Kelton, Simulation Modeling and Analysis,
McGraw-Hill, 2000.
◆  桑慧敏, 機率與推論統計學原理, McGrawHill, 2007
 
 
◆ Prerequisites: Probability at the level of IE 203, statistics at the level of IE 204, computer programming at the level of IE 201.
◆ Content: IEEM531100 focuses on learning simulation softwares (inlcude MS Excel, Flexsim, andR) to solve stochastic systems. Simulation input modeling and output analysis are also included inthis course.
◆ Computers: Programming assignments need to use simulation languages such as MS Excel,Flexsim, and R.
 

 

10401 工程
離散數學
韓永楷

This course is about the study of discrete objects, and is one of the foundation courses in Computer Science. We will introduce a couple of basic concepts, and we hope that through the understanding of these concepts, we can strengthen our ability to understand a problem formulation, define a new problem, think critically......

 

1.Course Description
    This course is about the study of discrete objects, and is one of the foundation courses in Computer Science. We will introduce a couple of basic concepts, and we hope that through the understanding of these concepts, we can strengthen our ability to understand a problem formulation, define a new problem, think critically, and analyse the correctness and efficiency of a solution to a problem. 
 
 
2.Text Book
    Discrete Mathematics and Its Applications       
    by K. H. Rosen
 
 
3.References 
   A. ntroduction to Combinatorial Mathematics 
        by C. L. Liu
   
B. iscrete and Combinatorial Mathematics
       by R. P. Grimaldi
 
 4.Teaching Method   
    Lectures and Tutorials
   
(Lectures in English, Tutorial before Each Exam)
 
 
5.Syllabus
     
Here are the topics that I intend to cover:
    A.Logic
        (Propositional Logic, Predicate,Calculus,
         Rules of Inference)

    B.Proofs(Methods and Strategies, Math,Induction,
                 Pigeonhole Principle)

    C Counting(Basic, Permutation andCombination)

    D.Sets, Functions, and Relations

    E. Graphs(Introduction, Euler and Hamilton, Paths,
                   Planar Graphs)

    F.Trees(Introduction, Optimal Prefix Code,Minimu
                Spanning Trees) 
 
10401 工程
計算機程式設計一
陳煥宗

The goal of this course is to equip CS students with essential coding skills for forthcoming courses that demand programming. The students are expected to acquire sufficient ability and experience in transforming ideas into computer programs. They will learn the C programming language in three months and use their coding skills to create a computer game as the final project. 

一.課程大綱  
The goal of this course is to equip CS students with essential coding skills for forthcoming courses that demand programming. The students are expected to acquire sufficient ability and experience in transforming ideas into computer programs. They will learn the C programming language in three months and use their coding skills to create a computer game as the final project. 
 
 
二.教科書
    Required Textbook
    S. Prata, C PRIMER PLUS, Fifth Edition. SAMS, 2005.
 
    Reference Textbook
    B. W. Kernighan and D. M. Ritchie, THE C    
    PROGRAMMING LANGUAGE, Second Edition. Prentice
    Hall, 1988.
 
 
三.成績計算.
The grade is based on the scores of fifteen homework assignments plus labs, two midterm exams, one final exam, and the final project, with the following percentages:

      1. Online judge labs (30%) — every week 
      2. Two midterm exams (30%) 
      3. One final exam (20%) 
      4. Final project (20%)
          Additional requirement: students must attain a mark
            of 60% in (two midterm exams + one final exam)
 
 
 
四.教學進度
 
Week1 
           CH1 Getting Ready
           CH 2 Introducing C
  
Week2
           CH3 Data and C
           CH4 Formatted Input/Output
 
 
Week3
           CH5 Operators, Expressions, and Statements
 
Week4
           CH 6 Control Statements: Looping
 
 
Week5
           CH 7 Control Statements: Branching
 
Week6
           CH 8 Character I
                   O and Redirection
 
Week7(Midterm Exam I)
           CH9 Functions
 
Week8
           CH9 Functions / Recursion
 
Week9
           CH9 Functions / Recursion
 
Week10
           CH10 Arrays and Pointers / Arrays
 
Week11
           CH10 Arrays and Pointers / Pointers
 
WeeK12
           CH11 String Functions 
           CH13 File Input/Output 
           CH15 Bit Manipulation
 
  
Week13(Midterm Exam II )
           CH12 Memory Management
 
Week14
           CH14 Structures
 
Week15
           CH17 Advanced Data Representations 
                     Linked Lists
 
Week16
           Examples of Final Project
 
Week17
           Examples of Final Project
 
Week18
           nal Project Demo
 
 

 

10401 工程
電子顯微鏡一
陳福榮

     電子顯微鏡是一個科學研究上被廣泛使用的顯微設備。為了提供在使用儀器上的基礎知識背景。本學期課程將說明電子顯微鏡的基本原理,由電子顯微鏡的基本電子光學架構開始談起,並說明電子與樣品之間的交互作用,以及我們能夠由電子顯微鏡得到哪一些樣品特性的資訊。並說明電子顯微鏡基本操作的方法。

 

【授課大綱】
    電子顯微鏡是一個科學研究上被廣泛使用的顯微設備。為了提供在使用儀器上的
基礎知識背景。本學期課程將說明電子顯微鏡的基本原理,由電子顯微鏡的基本電子光學架構開始談起,並說明電子與樣品之間的交互作用,以及我們能夠由電子顯微鏡得到哪一些樣品特性的資訊。並說明電子顯微鏡基本操作的方法。

 

第一章 電子光學基礎原理
             1-1 引言
             1-2 為何使用"電子"顯微鏡
             1-3 電子顯微鏡的限制
             1-4 電子光源
             1-5 電磁透鏡與分辨率
             1-6 如何紀錄及看到電子
 

第二章 電子與樣品的作用
             2-1 散射與繞射
             2-2 電子與原子作用(彈性散射與非彈性散射)
             2-3 電子與晶格作用
             2-4 電子與樣作用

 
第三章 繞射運動與動力學
             3-1 電子的成像原理
             3-2 電子顯微鏡成像模式(Image / Diffraction Mode)
             3-3 明場與暗場
             3-4 電子運動學
             3-5 繞射動力學
 

第四章 X 光能譜分析
             4-1 電子偵測器基本原理
             4-2 XEDS 能夠得到的資訊
             4-3 XEDS 的限制

 

10401 工程
控制系統一
葉廷仁

This course provides the students with basic knowledge in modeling, analysis and design for linear feedback control systems.  It begins with reviewing some mathematical fundamentals and introducing block diagrams and signal-flow graphs.  Students will then learn how to model mechanical, electrical...... 

 
Outline of this course
This course provides the students with basic knowledge in modeling, analysis and design for linear feedback control systems.  It begins with reviewing some mathematical fundamentals and introducing block diagrams and signal-flow graphs.  Students will then learn how to model mechanical, electrical, and electromechanical systems as differential equations and transfer functions.  The analysis in this course includes stability of open-loop and closed-loop systems, time responses and frequency responses of low order systems.  The design methods are divided into root-locus techniques and frequency response techniques using Bode plots for designing PID and lead/lag controllers.  Students will also learn how to apply the automatic control theory to real engineering problems via Matlab simulations and Lab assignments.
 
 
Pre-requisite: 
Course Contents
            1. Introduction
            2. Mathematical Foundation
            3. Block diagrams and Signal-Flow Graphs
            4. Modeling of Dynamic Systems
            5. Time-domain Analysis of Control Systems
            6. Root Locus Analysis
            7. Frequency-Domain Analysis
            8. Design of Control Systems
 

 

10302 工程
電動機械一
葉廷仁

In the course, we will focus on the introduction of basic engineering electro-magnetics, the magnetic circuits, the energy conversion of electromechanical devices, and the priciples of rotating electromechanical machinery.Pre-requisite: College Physics (大學物理).Electrical Circuits (電路學)

  
【指定用書】
Lecture Notes
* Guru and Hiziroglu, Electric Machinery and Transformers,
3rd ed., Oxford University Press, 2001
 
 
【參考用書】 
 G. R. Slemon, and A. Straughen, Electric Machines, Addison Wesley Longman Publishing Co, 1980.
Vicent Delo Toro, Basic Electric Machines, Prentice Hall, 1990.
* A.E. Fitzgerald, Electric Machines , McGraw-Hill, 1992.
 
 
【教學方法】 
   課堂投影片,黑板講解與演習
 
 
【教學進度】 
    1.  Review of Electric Circuit Theory
    2.  Basic Electromagnetism and Magnetic Circuits
    3. Transformers
    4. Principles of Electromechanical Energy Conversion
    5. Synchronous Generators
    6. Synchronous Motors
    7. Induction Motors
    8. DC Machinery Fundamentals
 
 
【成績考核】 
     Home works 30%, Lab Assignments 10%,
     Midterm 30%, Final exam 30%
 
10302 工程
電腦視覺特效
陳煥宗

介紹如何運用現有的電腦視覺技術,製作出視覺特效。 課程除了理講解之外,也會藉由實驗來複習電腦視覺知識。 除了需要經常使用 Matlab 和 OpenCV 寫程式之外, 還可能需要自己動手拍攝影片與製作輔助拍攝的器材。 

 

【指定與參考用書】

Computer Vision for Visual Effects, Richard J. Radke, Cambridge University Press
http://cvfxbook.com
Computer Vision: Algorithms and Applications, Richard Szeliski, 2010 http://szeliski.org/Book/


【教學方式】

每個星期 3 小時課堂講解與討論
 同學們三人一組,共同討論作業
 作業的分數將會以小組為單位評分
 個人的期末成績則會再因課堂參與及平時表現而有所差異 (10%)


【教學進度】
      Introduction to CVFX Image Matting Image Composition and Editing Features and Matching
      Dense Correspondence Matchmoving Motion Capture 3D Data Acquisition Optimization
      Algorithms for Computer Vision 

【成績考核】
      90%: 6 次作業 10%: 課堂參與和平時表現 

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