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人工智慧導論 2024 (資訊工程學系 陳緼儂)
臺大
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商管程式設計 (資訊管理學系 孔令傑、盧信銘)
本課程是為不具程式設計背景的管理學院同學設計的入門程式設計課程,以 Python 程式語言作為教學媒介,輔以作業管理、行銷管理、供應鍊管理、財務金融等商管領域的應用情境,引導非理工背景的學生理解並掌握程式設計與資訊科技在商管環境中的應用。
臺大OCW
作業系統 (資訊工程學系 周志遠)
學習就像一場戰鬥,優質的大師級課程就是你決勝的關鍵!由清大資工系周志遠教授於開放式課程所講授的【作業系統】課程,多年稱霸雲端學子心中的最愛!你對作業系統>深具挑戰性的作業深感恐懼嗎?你對作業系統>原文聖經指定用書有閱讀障礙嗎?您想迎戰國際比賽>卻不得其門而入嗎?志遠教授為您特製一帖【Operating System】的良藥每周定期服用這帖良藥,將學習自律基因植入穴道中,循序漸進地全副武裝、疏通您的任督二脈,欲追隨志遠教授征戰國際、轟動武林、驚動萬教絕非夢想! 《 課程關鍵字: ☑️ 作業系統, ☑️ Operating Systems, ☑️ Historical Prospective, ☑️ OS Structure, ☑️ Processes Concept, ☑️ Memory Management, ☑️ Virtual Memory Management, ☑️ Memory Management, ☑️ Process Scheduling, ☑️ Process Synchronization, ☑️ File System Implementation》
清大OCW
第1R講 Syllabus&Ch0: Historical Prospective第2R講 Ch0:Historical Prospective第3R講 Ch1:Introduction
數位邏輯設計 (資訊工程學系 王俊堯)
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; 《 課程關鍵字:☑️ 數位邏輯設計 ☑️ Digital Logic Design ☑️ Boolean Algebra ☑️ Quine-McClusky Method ☑️ Multiplexers ☑️ Decoders ☑️ and Programmable Logic Devices ☑️ Registers and Counters ☑️ Analysis of Clocked Sequential Circuits ☑️ Analysis of Clocked Sequential Circuits》
清大OCW
電路與電子學 (資訊工程學系 王俊堯)
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. 《keywords:電路與電子學, ☑️ Circuits and Electronics, ☑️ Semiconductor Material & Diode, ☑️ Basic Circuit Theories, ☑️ Diode Circuit, ☑️ The Field-Effect Transistor (FETs)》
清大OCW
工程數學 (資訊工程學系 王俊堯)
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. 《keywords:工程數學, ☑️Engineering Mathematics, ☑️Variable Separable Method, ☑️Ordinary Differential Equations, ☑️Integrating factors & Linear ODEs, ☑️Higher degree ODEs, ☑️Method of Variation parameter, ☑️The Laplace Transform - Transformation Theorems, ☑️The Laplace Transform - Systems of Linear Diff. Eqs, ☑️Series Solutions3, ☑️Fourier Series》
清大OCW
資料結構導論 (資訊工程學系 韓永楷)
「資料結構」是學習以聰明的方法去儲存資料,使得我們在有需要的時候能夠快速有效地把資料擷取。例如我們希望把學生某一科的考試成績整理,使得我們能隨時查詢任何學生的排名。為了節省查詢的時間,我們或許會把學生們的成績從高至低排好,而不會以隨意的順序排列。《keywords:資料結構導論, ☑️Introduction to Data Structure, ☑️Sorting Lower Bound, ☑️Searching Set Data, ☑️Hashing, ☑️Suffix Tree and Suffix Array》
清大OCW
深度學習 (資訊工程學系 吳尚鴻)
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 be covered. 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 details. 《keywords:深度學習, ☑️Deep Learning, ☑️Scientific Python, ☑️Neural Networks, ☑️Numerical Optimization》
清大OCW
計算機網路概論 (資訊工程學系 黃能富)
互聯網 (Internet) 除了將各種區域網路 (Local Area Networks)透過互聯網服務供應商(Internet Service Providers, ISPs) 連接起來外,也提供各式的終端設備連網,在龐大的 Internet 上有大量各式的路由器 或是交換機,但是因為各種網路的性質,速度,容量的不同,資料在網路上傳輸就可能發 生各種狀況,例如封包被延遲,被繞遠路,甚至被丟棄等等. 也可能引發網路阻塞, 造成服務中斷。 本課程將介紹計算機網路的基本運作原理與標準的網路七層結構,由淺入深,可以讓我們對於計算機網路的運作有最基本的認識,本課程還會介紹全球建置最多的有線網路──IEEE 802.3 Ethernet 的基本運作原理, 還有全球建置最多的無線區域網路──IEEE 802.11 Wireless LAN 的基本運作原理, 想知道網路交換機(switches) 是如何運作的嗎 ? 想知道網際網路最重要也最關鍵的通訊協議 ── TCP/IP 是如何運作的嗎 ? 想知道網際網路最重要的路由器 (Routers) 是如何運作的嗎 ? 在本課程裡您都可以學到這些重要的基本知識。 本課程採用最新之磨課師線上課程 (MOOCs,Massive Open Online Courses) 內容方式授課. 課程內容包含介紹 IEEE 802.3 乙太網路(Ethernet), IEEE 802.11 無線區域網路 (Wireless LAN),IEEE 802.1Q 虛擬區域網路 (Virtual LAN), 交換機的擴張樹演算法 (IEEE 802.1D Spanning Tree Algorithm), 區域網路的可靠傳輸技術──滑動視窗技術 (Reliable Transmission Technology-Sliding Windows),路由器運作原理以及網路互連技術 (Routers,Interneworking, IP protocol), 以及TCP(Transmission Control Protocol) 與網路阻塞偵測與控制技術 (TCP Congestion Control, AIMD,Slow Start)。 《keywords:計算機網路概論, ☑️網路架構, ☑️無線區域網路, ☑️虛擬區域網路》
清大OCW
計算機程式設計1 (資訊工程學系 陳煥宗)
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: 1. Online judge labs (20%), 2. Two midterm exams (30%), 3. One final exam (30%), 4. Final project (20%). The textbook is S. Prata, C PRIMER PLUS. Printout lecture notes will be available. 《keywords:C 程式設計, ☑️ C programming, ☑️ problem solving, ☑️ basic data structures, ☑️ preliminary algorithms》
清大OCW
計算機程式設計2 (資訊工程學系 陳煥宗)
清華大學資工系必修課,主要對象為大一學生,延續計算機程式設計一,繼續磨練程式能力。 《keywords:C/C++ 程式設計, ☑️ C/C++ Programming》
清大OCW
計算機概論與程式設計 (電機工程學系 溫宏斌)
陽明交大OCW
嵌入式作業系統 (電機工程學系 黃育綸)
陽明交大OCW
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