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10702 工程
Web Programming, Technologies, and Applications
吳尚鴻 教授

This course gives a comprehensive, self-contained, and up-to-date introduction to the web/app development. We focus on the development challenges in real-world situations and present guidelines, tools, and best practices. Students are asked to team up and build real, useful applications (websites and/or mobile apps) accessible to the public in the end.

 

Description 
The classes are divided into three parts. First, we give a primer to web fundamentals such as HTTP, HTML, CSS, and Javascript. We cover different programming paradigms, including the OOP and functional programming. Handy tools such as Git are covered to get students familiar with the project-based and team-based development. In the second part, we introduce modern web development techniques such as responsive design, Bootstrap, ES6/7, React, and Redux. Last, we extend our horizon to the backend and mobile development landscapes by introducing the Node.js, PostgreSQL database system, Amazon Web Services (AWS), and React Native. We also give case studies on how to leverage Machine Learning algorithms to convert raw user data into the AI.
 
 https://nthu-datalab.github.io/webapp/index.html


 
 

Syllabus 
Lecture 01 HTTP&HTML
Lecture 02 CSS
Lecture 03 Bootstrap and Responsive Design
Lecture 04 Javascript & DOM
Lecture 05 Modern Javascript
   


 

Reference Books 

Alexander Osterwalder, Business Model Generation: A Handbook for 
  Visionaries, Game Changers, and Challengers, 2010
Eric Ries, The Lean Startup: How Today's Entrepreneurs Use Continuous 
  Innovation to Create Radically Successful Businesses, 2011
Peter Thiel, Blake Masters, Zero to One: Notes on Startups, or How to Build
  the Future, 2014
   
   
瀏覽人次:80472
10702 工程
計算機程式設計一(資工版)
陳煥宗 教授

This course is aimed to help the students learn how to program in C. There will be several labs, two midterm exams, one final exam, and the final project, with the following percentages.......

  

【Text Books 
 
 S. Prata, C PRIMER PLUS 
 Lecture notes 
  https://github.com/htchen/i2p-nthu/tree/master/程式設計一
 清大開放課程影片(17週)
  http://ocw.nthu.edu.tw/ocw/index.php?page=course&cid=134
 
 
 
  
 Reference= ilms  
 Essential C
  http://cslibrary.stanford.edu/101/EssentialC.pdf
 The C Book
  http://publications.gbdirect.co.uk/c_book/the_c_book.pdf 


MIT: A Crash Course in C

  http://www.mattababy.org/~belmonte/Teaching/CCC/handouts.pdf
  MIT: A Crash Course in C
  Reference Manual
  http://www.gnu.org/software/libc/manual/html_mono/libc.html
 
 
【Syllabus】
Week Topics Labs and Exams
1 CH. 1 Getting Ready 
Lab #0 2/21 Thu.

2 

CH. 3 Data and C  2/28 放假

3 

CH. 4 Formatted Input/Output Lab #1 3/7 Thu.

4

Binary Representations
CH. 15 Bit Manipulation 
 

5

CH. 6 Control Statements: Looping Lab #2 3/21 Thu.

6

CH. 6 Control Statements: Looping CH. 7 Control Statements: Branching Written Exam  3/28 Thu. @ Delta 109

7

CH. 8 Character I/O and Redirection 4/4 放假

8

CH. 9 Functions
Lab #3 4/11 Thu.

9

CH. 9 Functions
 

10

CH. 10 Arrays and Pointers 
Midterm Exam I  4/25 Thu.

11

CH. 10 Arrays and Pointers 
 

12

CH. 10 Arrays and Pointers 
Lab #4 5/9 Thu.

13

Midterm Exercise (5/14)

Midterm Exercise (5/14)

14

CH. 10 Arrays and Pointers Pointers
CH. 11 String Functions
CH. 12 Memory Management
CH. 13 File Input/Output
Term Project Hackathon 5/25 Sat.

15

CH. 12 Memory Management Lab #5 5/30 Thu.

16

CH. 15 Bit Manipulation
CH. 14 Structures
CH. 17 Advanced Data Representations
 

17

CH. 17 Advanced Data Representations Lab #6 6/13 Thu.
 

 

瀏覽人次:162259
10702 工程
深度學習
吳尚鴻 教授
This class introduces the concepts and practices of deep learning. The course consists of three parts. In the first part, we give a quick introduction of classical machine learning and review some key concepts required to understand deep learning.In the second part......
 
  

【Description】
This class introduces the concepts and practices of deep learning. The course consists of three parts. In the first part, we give a quick introduction of classical machine learning and review some key concepts required to understand deep learning.In the second part, we discuss how deep learning differs from classical machine learning and explain why it is effective in dealing with complex problems such as the image and natural language processing. Various CNN and RNN models will becovered. In the third part, we introduce the deep reinforcement learning and its applications.This course also gives coding labs. We will use Python 3 as the main programming language throughout the course. Some popular machine learning libraries such as Scikit-learn and Tensorflow will be used and explained in detials.

 
 

【Syllabus】  
Lecture 01  
Introduction/Scientific Python 101
Lecture 02     
Linear Algebra/Data Exploration & PCA
Lecture 03
Probability & Information Theory/Decision Trees & Random Forest

Lecture 04

Numerical Optimization/Perceptron & Adaline/Regression
Lecture 05
Learning Theory & Regularization /Regularization
Lecture 06
Probabilistic Models/Logistic Regression & Metrics 
Lecture 07
Non-Parametric Methods & SVMs/SVMs & Scikit-Learn Pipelines
Lecture 08
Cross Validation & Ensembling/CV & Ensembling

 

Competition01  

Predicting Appropriate Response
Lecture 09
Large-Scale Machine Learning
Lecture 10
Neural Networks: Design/TensorFlow101 & Word2Vec
Lecture 11
Neural Networks: Optimization & Regularization
Lecture 12

Convolutional Neural Networks/Nuts and Bolts of Convolutional Neural Networks/Visualization and Style Transfer

 

Competition 02

Image Object Detection & Localization

Lecture 13

Recurrent Neural Networks/Seq2Seq Learning for Machine Translation
Competition 03 Image Caption
Lecture 14
Unsupervised Learning/Autoencoders/GANs
Competition 04 Reverse Image Caption 
Lecture 15
Semisupervised/Transfer Learning and the Future
Lecture 16
Reinforcement Learning/Q-learning
Lecture 17
Deep Reinforcement Learning/ DQN & Policy Network
Competition 05 You Draw I Draw
   
 

 

【Reference Books】 
Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, 2016, ISBN: 0387848576
Trevor Hastie, Robert Tibshirani, Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition, Springer, 2009, ISBN: 0387848576
Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006, ISBN: 0387310738
Sebastian Raschka, Python Machine Learning, Packt Publishing, 2015, ISBN: 1783555130
  
 
 
 
【Online Courses】  
CS231n: Convolutional Neural Networks for Visual Recognition, Stanford
 CS224d: Deep Learning for Natural Language Processing, Stanford
CS 294: Deep Reinforcement Learning, Berkeley
 MIT 6.S094: Deep Learning for Self-Driving Cars, MIT
   
瀏覽人次:282267
10701 工程
平行程式
周志遠 教授

本課程將介紹平行計算的基礎觀念和電腦系統架構,並教授針對不同平行計算環境所設計的程式語言,包括多核心系統使用的 Pthread、OpenMP, 叢集計算使用的MPI, GPU使用的CUDA, 以及分散式系統使用的MapReduce計算框架。修課同學必須使用 這些平行計算的語言和工具完成5個程式作業,並且以程式的執行效能結果作為學習的評量標準。 

 

 

【課程說明 】
                  Course Description       
           本課程將介紹平行計算的基礎觀念和電腦系統架構,並教授針對不同平行計算環境所設計的程式語言,包括多核心系統使用的 PthreadOpenMP, 叢集計算使用的MPI, GPU使用的CUDA, 以及分散式系統使用的MapReduce計算框架。修課同學必須使用 這些平行計算的語言和工具完成5個程式作業,並且以程式的執行效能結果作為學習的評量標準。 

 
 

【指定用書 
           Textbooks

♠  Parallel Programming– 

Techniques and applications Using Networked Workstations and Parallel Computers, Barry Wilkinson and Michael Allen, Prentice Hall, 1999. 
Parallel Programming in C with MPI and OpenMP, Michael J. Quinn, 

McGraw- Hill, 2003. 
Intel Multi-Core Programming 

      

 

【參考書籍   】
        References

♠  Documentation

(PVM, MPI, Cilk, Pthread, TreadMark, SAM) 
Designing and Building Parallel Programs, Ian Foster, Addison Wesley, 1995. 


 

 

【教學進度】
        Syllabus

Part I Introduction 
       - Introduction to Parallel Computers  
     - Introduction to Parallel Computing 
 
Part II  Parallel Programming
 
     - Message-Passing Programming (MPI)  
     - Shared Memory Programming (Pthread and OpenMP) 
 
Part III  Parallel Computing Techniques 
       - Embarrassingly Parallel Computations  
     - Partitioning and Divide-and-Conquer Strategies  
     - Pipelined Computations  
     - Synchronous Computations  
     - Load Balancing and Termination Detection 
 
 Part IV  GPU Programming 
      - Heterogeneous computing  
    - CUDA programming model  
    - GPU Architecture & Multi-GPU  
    - Advanced CUDA Programming & Optimization 
 
 Part V  Distributed Programming 
      - MapReduce  
    - Hadoop Programming 

  

瀏覽人次:243492
10602 工程
控制系統二
葉廷仁 教授
NTHU Open Courses Ware has planted a learning-material forest, now it’s waiting for you to explore! Now, go into the OCW forest, and taste the sweetest knowledge fruits.


【課程大綱】
        Outline of this course 
This course is a continuation of control systems (I). It particularly provides the students with basic knowledge in statespace design, digital control and nonlinear systems. As for the state-space design, it begins with reviewing linear-algebra fundamentals and introducing state-space description of linear systems. Students will then learn how to design full-state feedback and estimator of the control system. In digital control, ztransform will be introduced first and controller design using digital equivalents will then be covered. Finally, we will introduce some basic analysis and design tools for nonlinear control systems.
 
 
【先備知識】
      Prerequisites
Engineering Mathematics (工程數學)
Control Systems (I) (控制系統一)
   
 
 

【課程內容】 
      Course Contents

 Mathematical Foundation – Linear Algebra
2  State-space Description of Linear Systems 
3  Full-state Feedback and Estimator Design
4  Compensator Design
5  Z-transform
6  Design Using Discrete Equivalents and Discrete Design
7  Linearization
8  Analysis of Nonlinear Systems

 


【指定用書】 
        Text Book

  Gene F. Franklin, J. David Powell, and Abbas Emami-Naeini, Feedback Control of Dynamic Systems,
   7th Edition, Prentice Hall, 2015.

 

 
【參考用書】 
        References
  Farid Golnaraghi, and Benjamin C. Kuo, "Automatic Control Systems", 9th edition,
  John Wiley & Sons,Inc., 2009
  7th Edition, Prentice Hall, 2015.

 

瀏覽人次:255310
10601 工程
超快光學(Offered in English)
楊尚達 教授

本課程旨在介紹超短(10^-12~10^-15秒)雷射光脈衝之產生、量測、傳播、色散管理、及其潛在應用。This course is aimed to introduce the generation, measurement, propagation, dispersion management and applications of ultra-short laser pulses in the picosecond to femtosecond regime (10^-12~10^-15 second).


【課程大綱】
   Outline
      本課程旨在介紹超短(10^-12~10^-15秒)雷射光脈衝之產生、量測、傳播、色散管理、及其潛在應用。此一技術提供的超精密時間解析度可用以觀測前所未知的短暫分子動態。所產生之巨大尖峰功率(>10^15瓦)足以突破原子基本引力,或驅動物質產生顯著之非線性效應,從而獲得 一系列新的(如中紅外光、極紫外光)同調光譜成份。
      This course is aimed to introduce the generation, measurement, propagation, dispersion management and applications of ultra-short laser pulses in the picosecond to femtosecond regime (10^-12~10^-15 second). The ultra-high time resolution enables diagnosis of transient molecular dynamics. The tremendous peak power (>10^15 Watt) is sufficient to break atomic bonds or induce a broadband of coherent spectrum from the mid-infrared to extreme ultraviolet via significant non-linear effects.

 
 

【課程簡述】
        Brief course description 
      本課程旨在介紹超短(10^-12~10^-15秒)雷射光脈衝之產生、量測、傳播、色散管理、及其潛在應用。此一技術提供的超精密時間解析度可 用以觀測前所未知的短暫分子動態。所產生之巨大尖峰功率(>10^15瓦)足以突破原子基本引力,或驅動物質產生顯著之非線性效應,從而獲得 一系列新的(如中紅外光、極紫外光)同調光譜成份。本課程所需要的背景知識為:傅立葉轉換、電磁平面波,並具備運用數學軟體(如 Matlab)之能力。
      This course is an introduction to the generation, measurement, transmission and dispersion of an ultra-short laser pulse (10^-12~10^-15 second) and its potential applications. The technique offers the ultra-high time resolution to observe an unprecedentedly transient molecular dynamic. The high-peak power (>10^15 Watt) is sufficient to break through the atomic attraction or makes the substance to generate the significant non-linear reaction. Then, it can obtain a series of new homologous spectra such as mid-infrared light and extreme ultraviolet.
    The prerequisites of this course are Fourier Transformation, Electromagnetic-plane wave and the ability of the mathematical software (ex: Matlab).
 
 
 
 
【課程說明】
     Course Description
      本課程旨在介紹超短(10-12~10-15 秒)雷射光脈衝之產生、量測、傳播、色散管理、及其潛在應用。此一技術提供的超精密時間解析度可用以觀測前所未知的短暫分子動態。所產生之巨大尖峰功率(>1015 瓦)足以突破原子基本引力,或驅動物質產生顯著之非線性效應,從而獲得一系列新的(如中紅外光、極紫外光)同調光譜成份。
    本課程所需要的背景知識為:傅立葉轉換、電磁平面波,並具備運用數學軟體(如Matlab)之能力。  
      This course is an introduction to the generation, measurement, transmission and dispersion of an ultra-short laser pulse (10^-12~10^-15 second) and its potential applications. The technique offers the ultra-high time resolution to observe an unprecedentedly transient molecular dynamic. The high-peak power (>10^15 Watt) is sufficient to break through the atomic attraction or makes the substance to generate the significant non-linear reaction. Then, it can obtain a series of new homologous spectra such as mid-infrared light and extreme ultraviolet.
    The prerequisites of this course are Fourier Transformation, Electromagnetic-plane wave and the ability of the mathematical software (ex: Matlab).
 
 
  
【教科書】
      Text Book
  自編講義

Lecture slides, pdf files are available on the iLMS of NTHU


 
【參考書籍】
      References
 Andrew Weiner, Ultrafast Optics, Wiley, 2009
  ISBN: 978-0-471-41539-8
 
 
 
【教學方式】
      Teaching Method
♠  預習提問 Preview questions
♠  隨堂問答 Q&A
♠  課堂講授 Lectures
♠  期末分組辯論攻防 Term project debate
  (Preview questions, Q&A, lectures,term project debate)
 
 
  
 
【教學進度】
       Syllabus
 Introduction and review
Active mode-locking
Light-matter interaction
Passive mode-locking
Pulse measurement by correlation techniques
Pulse measurement by FROG and SPIDER
Dispersion and dispersion management
Flexible topics on request
Term project debate
   
   

 

瀏覽人次:261453
10502 工程
擴散與相變化
簡朝和 教授

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!

 

【課程大綱】
        Course Outline  

 Diffusion
(a) Diffusion equation solutions – steady and transient states
(b)
Diffusion with moving boundary
(c)

Diffusion in heterogeneous systems–controlling kinetics

(d)
Atomic theory of diffusion 
(e)
Diffusion in dilute and concentrated solutions
   



Phase Transformation

(a)

Nucleation - homogeneous and heterogeneous

(b)
Growth with and without composition change
(c) Overall transformation kinetics
(d)
Spinodal decomposition
 
  
 【指定與參考用書】
        Textbooks and References  
 

P.G. Shewmon, Diffusion in Solids, 2nd ed., McGraw-Hill

   2.

D.R. Poirier and G.H. Geiger, Transport Phenomena in Materials Processing, 

  2nd ed., TMS publication 
  3.

J. Crank, Mathematics of Diffusion, 2nd ed., Oxford University Press, 1975. 

  4.

H.S. Carslaw and J.C. Jaeger, Conduction of Heat in Solids, 2nd, ed., Oxford  

  University Press, 1959.

  5.

A.K. Jena and M.C. Chaturvedi, Phase Transformations in Materials, Prentice 

  Hall, NJ, 1992.

D.A. Porter, K.E. Easterling and Y. Sherif, Phase Transformations in Metals 
  and Alloys, 3rd ed., CRC  Press, 2009.

  7.

J.W. Christian, The Theory of Transformations in Metals and Alloys,
  Pergamon Press, 1975.
  8.

R. W. Balluffi, S. M. Allen and W. C. Carter, Kinetics of Materials, Wiley, 2005.

   
 

 2101-2105 講義與作業 

瀏覽人次:338916
10502 工程
機械設計製圖
劉俊賢 教授

本課程的撰寫重點在於:將工程實務、圖學理論、工具軟體三者結合成為一體,以迎接新世代 的電腦輔助設計與繪圖。傳統圖學介紹著重基礎製圖規範與圖學理論之介紹,以及平面視圖與立體視 圖之理論解說及繪製,內容偏重製圖規範及理論傳授;而傳統之電腦輔助設計繪圖軟體課程,多以強 調軟體的操作為主,輔以圖形範例進行繪圖之示範。

 

【課程說明】
     Course Description 
        本課程的撰寫重點在於:將工程實務、圖學理論、工具軟體三者結合成為一體,以迎接新世代 的電腦輔助設計與繪圖。傳統圖學介紹著重基礎製圖規範與圖學理論之介紹,以及平面視圖與立體視 圖之理論解說及繪製,內容偏重製圖規範及理論傳授;而傳統之電腦輔助設計繪圖軟體課程,多以強 調軟體的操作為主,輔以圖形範例進行繪圖之示範。然而,隨著電腦輔助設計繪圖軟體的日趨成熟,如何將基礎圖學與電腦輔助設計繪圖軟體進行適切的整合,已成為當務之急。因此,本課程特色將朝 以下的目標發展:從設計實務的觀點,進行圖學理論的介紹,清晰表達圖學的內涵;從軟體應用的觀 點,進行設計繪圖的操作,完整發揮軟體的特色;並進一步加以整合構成電腦輔助設計圖學,並規劃實際之計畫範例,進行整合的工作,期使本課程能夠成為兼具學術及工程價值。
The key point of this course is the combination of engineering practice, graphical theory, and software tools in order to deal with the computer-aided design and drawing in the new generation. Traditional graphics emphasize the introduction to basic drafting and graphics theory and the concept explanation and drafting of front view and pictorial view, which puts more emphasis on drawing rules and theory explanation. Traditional courses of computer-aided design graphic software highlight the operation of the software as a focus, supplemented with drawing according to graphic examples.    

 

        課程所採用的軟體為Autodesk Inventor,是為3D參數式設計專家,涵蓋層面計有電腦輔助繪圖(CAD)、電腦輔助設計製圖(CADD)、電腦輔助工程(CAE),從繪圖、設計、運動分析模擬、動態分析模擬、彩現擬真動畫,甚至發展到電腦輔助工業設計(CAID),期待參與的同學能夠非常開心的來學習這門課程。 
The software we use in this course is Autodesk Inventor, which is for 3D parametric design experts and includes Computer-aided Design (CAD), Computer-aided Design and Drafting (CADD), and Computer Aided Engineering (CAE), from drafting, design, movement and dynamic analysis, render simulate animation, and even Computer Aided Industrial Design (CAID). Welcome to learn this course happily. 
 
 
 
【指定用書】
          Text Books 
Autodesk Inventor 學習指引,大塚資訊科技,2006 
 Autodesk Inventor 專業應用,大塚資訊科技,2006 
 Autodesk Inventor 進階範例教學,大塚資訊科技,2006
 歐特克股份有限公司,Autodesk Inventor 10 特訓教材基礎篇,全華科技圖書公司,
  ISBN: 957215236X
 劉俊賢,AutoCAD 2002/2000工程圖學實務導航 – 登堂入室篇,宏友圖書開發股份有限公司,2002
 劉俊賢,AutoCAD 2002/2000工程圖學實務導航 – 進階應用篇,宏友圖書開發股份有限公司,2002 
   
 
 
 
【教學方式】
       Teaching Method 
♠

簡報講解 Explanation with PPTs

 綜合討論 Discussion
 操作訓練 Operation Training
 報告規劃與寫作 Report Plans and Writings
 實務設計製圖 Practical Designs and Drawing
 創意與設計 Creativity and Design  
瀏覽人次:205436
10501 工程
材料動力學
廖建能 教授
The purpose of this course is to provide students 
fundamental knowledge of essential kinetics of various material systems.The subjects covered are(1) Diffusion.(2) Chemical reactions.(3) Phase transformations.....
 
 
【課程描述】
        Course description
The purpose of this course is to provide students  fundamental knowledge of essential kinetics of various material systems.The subjects covered are
       (1) Diffusion
       (2) Chemical reactions
       (3) Phase transformations 
 

 
【參考用書】
        Reference Book
(1) 
R. W. Balluffi, "Kinetics of Materials", Wiley 2005 
(2)
O. Levenspiel, “Chemical Reaction Engineering”, 3rd Ed., John Wiley & Sons, 1999. 
(3)
D. A. Porter,“Phase Transformations in metals and alloys”, 2nd Ed., Chapman & Hall, 1992. 


 

【教學方式】
        Teaching methods

  
Lecture Prerequisite courses: Engineering Mathematics, Thermodynamics, Physical Metallurgy 
  
 
  
【課程大綱】
        Outlines 
Lecture 1 Introduction 
Thermodynamics vs. Kinetics


Irreversible thermodynamics 
 Lecture 2 Diffusion in Solids  Diffusion Flux and Driving forces 


Diffusion equations and solutions 
 Lecture 3 Diffusion mechanism  Atomic diffusion mechanism 


Diffusion in crystals
Diffusion along crystal imperfections Examination 
Lecture 4 Homogeneous chemical 
Batch-type reaction, Rate equation & analysis 
  reactions methodology 
Lecture 5 Hetergeneous chemical reactions Fluid-solid, Fluid-Fluid, Fluid-Particle reactions
 Lecture 6 Coarsening & grain growth  
 Lecture 7 Spinodal decomposition 
 Lecture 8 Nucleation theory
 Lecture 9 Solidification 
 Final Examination  
     
  
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10501 工程
微系統設計
曾繁根 教授

This course teachs student to utilize fundamental MEMS/MST (Micro-Electro-Mechanical System/Mciro System Technology)knoweledge combined with MEMS CAD software to design real MEMS/MST devices. Two commercial available MEMS foundries (MOSIS/SCNA and MCNC/MUMPS) ....


 

【 Course Description 】
This course teaches student to utilize fundamental MEMS/MST (Micro-Electro-Mechanical System/Micro System Technology)knowledge combined with MEMS CAD software to design real MEMS/MST devices. Two commercial available MEMS foundries (MOSIS/SCNA and MCNC/MUMPS) and simple physical model on accelerator and combdrive actuator will be elaborated to demonstrate the design process. Finally, The student will combine the knowledge learned from the course to design and present their own MEMS device. This course is offered in English. 


【 Textbooks 】
Micro System Design Class Notes, Fan-Gang Tseng, please download them at fangang.web.nthu.edu.tw. 
CMOS layout design-using L-Edit, (CMOS 實體層設計-使用L-EDIT), by Uyemura, 楊忠煌譯, 高立出 版社, 1998. 
Microsystem Design, Stephen D. Senturia, Kluwer Academic Publishers, Boston, 2000.
 
 

【 References 】
Micromachines, a new era in mechanical engineering, Iwao Fujimasa, Oxford Science Publication, 1996. 
Micro Mechanics and MEMS, classic and seminar papers to 1990, William S. Trimmer, IEEE press, 1997. 
On Size and Life, T. A. McMahon and J. T. Bonner, Scientific American Library, 1983. 
Fundamentals of Microfabrication, Marc Madou, CRC Press, 1997
Micromachined Transducers source book, Gregory T.A. Kovacs, McGraw Hill, 1998 
Semiconductor Sensors, S.M. Sze, Wiley Inter. Science, 1994. 
 
 
 
【 Teaching Method 】
  Lectures, CAD software hand on practice, presentations 

 
【Syllabus 】
 Tentative Outline for Micro System Design:

Scope of the Micro System Design, the current status of Micro System Technology 
Brief Review of MEMS technology I - Scaling law (hw#1) 
Brief Review of MEMS technology III- lithography and IC process
Brief Review of MEMS technology II- Bulk micromachining (hw#2) 
Brief Review of MEMS technology IV- Surface micromachining, and others. 
Midterm#1 
Introduction and hand-on practice of MEMS design software-LEIDT (hw#3,) ( team formation) 
IC and MEMS foundry I.-MOSIS 
Coventerware ( High Speed Computer Centre) 
10  Design example I: IC process and Micro accelerometer design using MOSIS process (hw#4) 
11  Midterm #2 
12  IC and MEMS foundry II.-.Cronos 
13  Design example II: Micro comb-drive motor design using MUMPS process (hw#5) 
14  Thermal actuator design 
15  Special topics on MEMS design (Micro Droplet generator, BioMEMS and Micro Fluidics)
16  Final presentation 

Final report due: one week after the final presentation 

 
 

 

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