國立清華大學開放式課程OpenCourseWare(NTHU, OCW)

10801 工程影音線上播放

資料結構

蔡仁松教授

This course introduces the basic concept of data representation and manipulation.

【課程說明】
Description of the course

This course introduces the basic concept of data representation and manipulation. We will teach how to solve problems efficiently and effectively by using proper and specific data structures, and organizing series of operations called algorithms to manipulate data to solve the problems. For instance, you will be ble to understand how to use link list and hash function to create block chains.

【前導課程】
prerequisite Course

♠	C/C＋＋ Programming Language

【課程教材】
Course Material

♠	Fundamentals of Data Structures in C＋＋, E. Horowitz, S. Sahni, and D. Mehta, 2nd ed., 2006.

【參考教材】
References

♠	Introduction to Algorithms, 3rd ed., by Cormen et al. C＋＋ reference

【教學方式】
Teaching Method

♠	Online Lectures ＋ In class discussions

【教學進度】
Schedule

1.	Basic Concepts
2.	Arrays
3.	Stacks and queues
4.	linked lists
5.	Trees
6.	Graphs
7.	Sorting
8.	Hashing
9.	Selected related topics

點閱次數：269696

10801 工程影音線上播放

數位邏輯設計

王俊堯教授

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】
What do you expect to learn in this course

1	Introduction Number systems and Conversion
2	Boolean Algebra
3	Boolean Algebra (Continued)
4	Application of Boolean Algebra Minterm and Maxterm Expansion
5	Karnaugh Maps
6	Quine-McClusky Method
7	Multi-Level Gate Circuits NAND and NOR Gates
8	Combinational Circuit Design and Simulation Using Gates
9	Multiplexers, Decoders, and Programmable Logic Devices
10	Flip-Flops
11	Registers and Counters
12	Analysis of Clocked Sequential Circuits
13	Derivation of State Graph and Table
14	Reduction of State Tables State Assignment16

【指定用書】
Textbook

♠	Fundamentals of Logic Design (7th Edition International Edition) by Charles H. Roth, Jr. and Larry L. Kinney(CENGAGE Learning) 滄海圖書代理
	ISBN-10: 1133628486 ISBN-13: 9781133628484

【數位邏輯設計講義!】

點閱次數：740240

10801 工程影音線上播放

電路與電子學

王俊堯教授

This course is intended for junior undergraduates in computer science and engineering. In this course, we will introduce the basic concepts of semiconductor devices and applications. Some basic circuit theorems will be introduced as well...

【課程簡述】

　Brief course description

This course is intended for junior undergraduates in computer science and engineering. In this course, we will introduce the basic concepts of semiconductor devices and applications. Some basic circuit theorems will be introduced as well. Since the majority of electronic circuits today are designed as integrated circuits (ICs), we will discuss how to analyze and design the basic elements of integrated circuits with the emphasis on digital logic designs.

【課程說明】

　Course Description

This course is intended for junior undergraduates in computer science and engineering. In this course, we will introduce the basic concepts of semiconductor devices and applications. Some basic circuit theorems will be introduced as well. Since the majority of electronic circuits today are designed as integrated circuits (ICs),

we will discuss how to analyze and design the basic elements of integrated circuits with the emphasis on digital logic designs.

【指定 / 參考書籍】

　Text Books / References

♠	Electronic Circuit analysis and Design X Ed. by Donald A. Neamen
♠	Electrical Engineering - Principles and Applications 4th Ed.
	by Allan R. Hambley

【教學方式】

　 Teaching Method

♠	以講授為主,輔以白板說明
	The cousres are mainly based on lectures and supplemented by whiteboard explanations

點閱次數：584368

10801 工程影音線上播放

工程數學

王俊堯教授

Engineering Mathematics in this class is to teach how to solve differential equations, which are models in many engineering problems. This post-calculus mathematics is needed and used by today's scientists and engineers....

【課程說明】
Course Description
Engineering Mathematics in this class is to teach how to solve differential equations, which are models in many engineering problems. This post-calculus mathematics is needed and used by today's scientists and engineers. It will cover the following topics:

1	First order differential equations
2	Second order differential equations
3	Laplace transform
4	Series solutions for differential equations
5	Systems of differential equations
6	Fourier series

【指定用書】

Textbooks

♠	Peter V. O'Neil, "Advanced Engineering Mathematics",
	5th edition,Thomson Brooks/Cole.

【參考書籍】

References

♠	Erwin Kreyszig, "Advanced Engineering Mathematics", 8th edition, Wiley.

【教學方式】

Teaching Method

♠	Lecture with white boarding writing

【教學進度】

Syllabus

1	First order differential equations
2	Second order differential equations
3	Laplace transform
4	Series solutions for differential equations
5	Systems of differential equations
6	Fourier series

【工程數學一題庫練習】【工程數學講義】

點閱次數：1041475

10801 工程影音線上播放

工程數學

蔡仁松教授

工程數學為一切工程學科的基礎，提供解決工程問題的基本工具。

【課程說明】
Description of the course
工程數學為一切工程學科的基礎，提供解決工程問題的基本工具。預修科目為微積分。課程內容包括：

(1)	一階微分方程式	(4)	聯立微分方程式
(2)	二階線性微分方程式	(5)	微分方程式級數解
(3)	高階線性微分方程式	(6)	拉普拉斯轉換

【課程教材】
Course Material

♠	Erwin Kreyszig, Advanced Engineering Mathematics, 10th edition, 2011, Wiley.

【參考教材】
References

♠	Dennis G. Zill, Advanced Engineering Mathematics, 6th edition, Jones & Bartlett Learning.
♠	C. Henry Edwards and David E. Penney, Differential Equations and Boundary Value Problems: Computing and Modeling, 5th Edition, 2016, Pearson.
♠	Peter V. O'Neil, Advanced Engineering Mathematics, 8th edition, 2017, Thomson Brooks/Cole.

【教學方式】
Teaching Method

♠	Lectures and labs.

【教學進度】
Schedule

1.	First order differential equations
2.	Second order differential equations
3.	Systems of differential equations
4.	Numerics for order differential equations
5.	Series solutions for differential equations
6.	Laplace transform
7.	Fourier series

點閱次數：103828

10801 工程影音線上播放

電路與電子學

林永隆教授

This course is intended for 2nd-year undergraduates in the computer science and other engineering department. In this course, we focus on two main topics, electronics and circuits.

【課程說明】
Description of the course

This course is intended for 2nd-year undergraduates in the computer science and other engineering department. In this course, we focus on two main topics, electronics and circuits. To give students better understanding of the models and circuits of the electronics devices, we will introduce the basic concepts of electric circuits first. It starts from the definition of current, voltage, power and energy. Then it covers the basic circuit components including resister, capacitor, and inductor. We also discuss the basic circuit analysis, such as nodal analysis of resistive circuits, transients in electrical circuits and sinusoidal steady-state circuit behavior.

For electronics section, we will present the diode and MOS field-effect transistor. We will use simple models to describe these electronic devices and their I-V characteristics. Since the majority of electronic circuits today are designed as integrated circuits (ICs),we will discuss how to analyze and design the basic elements of integrated circuits with the emphasis on digital logic designs.

【課程教材】
Course Material

♠	"Electrical Engineering - Principles and Applications",by Allan R. Hambley, 5th Edition.

【教學方式】
Teaching Method
♠ Lecture and discussion.

【教學進度】
Schedule

Chapter	1	Introduction
Chapter	2	Resistive Circuits
Chapter	3	Inductance and Capacitance
Chapter	4	Transients
Chapter	5	Steady-State Sinusoidal Analysis
Chapter	6	Frequency Plots, Bode Plots, and Resonance
Chapter	10	Diodes
Chapter	12	Field-Effect Transistors
Chapter	11	Amplifiers : Specifications and External Characteristics

點閱次數：232898

10801 人文社會影音線上播放

經濟思辨一

朱敬一教授

本課程擬從一個個體經濟概念開始，引領進入不同的應用領域。除了經濟，這門課打算串接法律學、演化生物學、國際關係等許多學門，希望能幫助非財經本科學生理解經濟觀念如何應用在多面向問題的分析上。

【課程目標】
Course Objectives
本課程擬從一個個體經濟概念開始，引領進入不同的應用領域。除了經濟，這門課打算串接法律學、演化生物學、國際關係等許多學門，希望能幫助非財經本科學生理解經濟觀念如何應用在多面向問題的分析上。

【課程資訊】

Course Information

♠上課時間:	每周三、第5堂至第7堂 (13:20-16:20)
♠上課地點:	台積館 - 孫運璿演講廰 (111教室)

【課程說明】

Course Description

這門課不想教大家「制式」的經濟分析，而要從一個個體經濟概念開始，引領進入不同的應用領域。除了經濟，這門課打算串接法律學、演化生物學、國際關係等許多學門，希望能幫助非財經本科學生理解以下問題：

	1.為什麼要唸經濟思辨？ 1a. 什麼是「通識」經濟學？ 1b. 為什麼只懂數學的咖能在財經科系招搖撞騙？
	2.需求、供給、完全競爭均衡延伸閱讀 2a. 生物界的完全競爭－－為什麼海豚聰明又長壽？ 2b. 語言演變的競爭規（原，哪裡來那麼多的「不規則動詞」？
	3.從傳統經濟到創新經濟 3a. 究竟什麼是知識經濟？ 3b. 知識研發的特殊角色 3c. 為什麼川普要對「七年後的產品」課稅？
	4.網路經濟時代的競爭 4a. 網路經濟下的競爭與定價 4b. 電子商務的國際競爭
	5.生產要素的報酬與分配 5a. 全球化下的「異形」勞資關係 5b. 勞動基準法與罷工
	6.所得與財富分配的不均 6a. 該不該課徵遺產贈與稅？ 6b. 台灣所得分配不均的幾個觀察 6c. 股利分離課稅，有道理嗎？
	7.國際貿易的理論與挑戰 7a. 川普何時決定貿易戰「收兵」？ 7b. 自由貿易之外，政府究竟該不該有「產業政策」？
	8.市場失靈與永續發展 8a. 在市場失靈與政府失靈之間 8b. 從永續發展理念，談「九二共識」的衍生應對
	9.資訊經濟學 9a.孔雀開屏傳遞了什麼訊息？ 9b.家族企業裡的訊息不對稱
	10.經濟發展過程中家族角色的蛻變 10a. 超級富豪家族成員之間，彼此親近嗎？ 10b. 股票投資，為什麼女性比男性厲害？ 10c. 土地投資，為什麼台灣男性比女性厲害？
	11.經濟轉型與經濟困境 11a. 中國與蘇聯不同的轉型策略 11b. 從韜光養晦到一帶一路
	12.不完全競爭市場 12a. 陸域風電與離岸風電背後的不同故事　　　 12b. 為什麼 Amazon 拿不下紅白葡萄酒的零售市場?
	13.國際金融 13a. 台灣的外匯存底 13b. 歐債危機是怎麼回事？

點閱次數：223583

10801 工程影音線上播放

數位邏輯設計

林永隆教授

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！

【課程說明】
Description of the course
This course is about the principles of digital logic and its implementation in circuits and systems. Modern electronics/computer engineers should be able to effectively utilize millions or even billions of logic gates available from advanced semiconductor manufacturing process. Logic design is fundamental to such applications as computer, audio/video/graphics, wired/wireless communication. Some technology from this course will be useful in other courses. For example, finite state machine is essential in compiler design.
♠ We will cover the following topics ♠

1.	Introduction to computer circuits
2.	Two level Combinational Logic
3.	Multilevel Combinational Logic
4.	Programmable Logic
5.	Arithmetic Logic Circuits
6.	Sequential Logic Design
7.	Sequential Logic Case Studies
8.	Finite State Machine Design
9.	Finite State Machine Optimization
10.	Computer Organization

【課程教材】
Course Material

♠	Logic and Computer Design Fundamentals, 4th ed Mano & Kime Prentice Hall

【教學方式】
Teaching Method

♠	Lecturing
♠	Home work
♠	Machine problem (Using Verilog Hardware Description Language and its Simulator)
♠	Quiz, Two Midterms and Final Exam

點閱次數：95127

10702 工程影音線上播放

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.

※https://nthu-datalab.github.io/ml/index.html

【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

點閱次數：364611

10702 工程影音線上播放

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

♠	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.

10410講義1 11020程式設計1課程大綱

點閱次數：190976

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