Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot and Power BI, three power tools for transforming, analysing and presenting data.

Excel's ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly "big" data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone. Over the last few years, Microsoft have worked on transforming the end-to-end experience for analysts, and Excel has undergone a major upgrade with the inclusion of Power Query and Power Pivot.

In this course, we will learn how to use Power Query to automate the process of importing and preparing data for analysis. We will see how Power Pivot revolutionises the actual analysis process by providing us with an analytical database inside the Excel workbook, capable of storing millions of rows, and a powerful modelling language called DAX which allows us to perform advanced analytics on our data. We will finish off by venturing out of Excel and introducing Power BI, which also uses the Power Query and Power BI architecture but allows us to create stunning interactive reports and dashboards.

This is the third course in our Specialization on Data Analytics and Visualization. The previous courses: Excel Fundamentals for Data Analysis and Data Visualization in Excel, cover data preparation, cleaning, visualisation, and creating dashboards. To get the most out of this course we would recommend you do the previous courses or have experience with these topics. In this course we focus on Excel Power Tools, join us for this exciting journey.

Please note that Power Query, Power Pivot and Power BI Desktop are only available on the Windows platform, so Mac users will require Bootcamp running Windows or a Virtual machine with a Window O/S. While Power Query is available as an add-in Excel 2010 and 2013, the tools have changed significantly, and this course has only been designed and tested for Excel 2016 and later. For an optimal experience, we recommend Office 365.

本課程是為非資料科學專業者設計的大數據領域入門課程，偏商管應用，非資訊技術教學。透過修習本課程，學員將能對資料科學商管領域的範疇與分類建立基本的觀念，並且瞭解其在商管領域的各種應用。在學的學生可藉此為職涯做準備，在職的社會人士則可拓展自己對資料科學的想像，進一步思考在自身工作場域應用資料科學的可能性。

 本課程共計六週，第一週為學界與業界對談，透過直播企劃呈現大數據應用的議題，作為課程的開端，二到五週由臺灣大學教授進行授課，分別就金融、行銷、社群媒體、輿情分析、行銷智慧等議題，介紹大數據在領域的應用，課程以闡述應用為主，但不會花很多時間在演算法的技術細節。第六週則由玉山金控李正國數位金融長主講，帶入玉山金控積極應用大數據於銀行業的策略，產學合作課程確實結合學界與業界的專家，就資料科學的商管應用做不同面向的介紹。

課程設計中安排一位主持人的課前提問、單元介紹引言、延伸提問等等，引導學生學習與思考，各週授課教師與課程主題概述如下：

第一週：臺灣大學資訊管理學系魏志平教授、玉山金控李正國數位金融長 -- 課程簡介、與大數據的午餐約會直播活動
第二週：臺灣大學工商管理學系與資訊管理學系合聘楊立偉教授 -- 資料分析在金融及財務上的應用
第三週：臺灣大學工商管理學系與資訊管理學系合聘楊立偉教授 -- 資料分析在零售及行銷上的應用
第四週：臺灣大學資訊管理學系陳建錦教授 -- 社群媒體之輿情分析
第五週：臺灣大學資訊管理學系魏志平教授 -- 社群媒體分析與行銷智慧
第六週：玉山金控李正國數位金融長 -- 大數據的商業應用策略

Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python.
Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.

本課程是為非資料科學專業者設計的大數據領域入門課程，偏商管應用，非資訊技術教學。透過修習本課程，學員將能對資料科學商管領域的範疇與分類建立基本的觀念，並且瞭解其在商管領域的各種應用。在學的學生可藉此為職涯做準備，在職的社會人士則可拓展自己對資料科學的想像，進一步思考在自身工作場域應用資料科學的可能性。

本課程分為人工智慧（上）、人工智慧（下）兩部份，第一部分除了人工智慧概論外，著重在目標搜尋、meta heuristic、電腦對弈、演繹學習（包含證言邏輯、一階邏輯及 planning ）等技術。這些技術主要發展時機為人工智慧的第一波及第二波熱潮，也就是 1950 年代至 1990 年代附近的主流發展，即使到現在也在各個領域廣為應用。
課程教學目標：
使同學對人工智慧有基礎概念
同學能夠理解如何運用目標搜尋技術及演繹學習方式達成人工智慧
同學能將相關技術應用到自己的問題上

This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”.  Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.

The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. In this first class in the specialization you will learn the importance of IoT in society, the current components of typical IoT devices and trends for the future. IoT design considerations, constraints and interfacing between the physical world and your device will also be covered. You will also learn how to make design trade-offs between hardware and software. We'll also cover key components of networking to ensure that students understand how to connect their device to the Internet. 

本課程內容採用教育部補助發展『未來大腦4.0系列課程』之『數據驅動創新實踐』課程素材，內容主要瞄準基於智慧科技與工作業務流程創新之數位轉型趨勢介紹。尤其針對產業如何由「數位化」、「數位優化」演進到「數位轉型」。學員經由課程將吸收到國內外產業界推動數據驅動決策之1.創新實踐案例分析、2.人工智慧與數位轉型、3.創新實習—撰寫轉型文案、4.上機實作—資料視覺化、5.資料倫理等五大主題。

"Excel/VBA for Creative Problem Solving, Part 1" is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA). 

This course is the first part of a three-part series and Specialization that focuses on the application of computing techniques in Excel/VBA to solve problems.  In this course (Part 1), you will: 1) create macros to automate procedures in Excel; 2) define your own user-defined functions; 3) create basic subroutines to interface with the user; 4) learn the basic programming structures in VBA; and 5) automate Excel’s Goal Seek and Solver tools and use numerical techniques to create “live solutions” to solve targeting and optimization problems.

New to computer programming?  The extremely intuitive and visual nature of VBA lends itself nicely to teaching and learning - what a fun way to learn to code!  No prior knowledge in programming nor advanced math skills are necessary yet seasoned programmers will pick up new and creative spreadsheet problem solving strategies.

After you have learned the basics of VBA, each module will introduce foundational and broad problems inspired by situations that you might encounter in the real world.  To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment.  This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.

本課程除設計思考的概念介紹與理念說明外，更重視運用各種設計方法與策略的實作經驗，因此適合全國大專院校有興趣設計思考的在學學生，以及對設計思考想要有進一步瞭解的社會人士修習。尤其是有志於/現在正從事產品設計、使用者介面設計、使用者互動規劃以及使用者經驗評估等工作的在學學生與在職社會人士，將可透過本課程系統化地獲得有關設計思考的理論知識與實務經驗，培養跨領域知識，並接受入門程度的設計思考方法實作訓練，有潛力成為符合企業實務要求的實作技術人才，協助提昇設計、製造與服務相關產業的產品水準。

建築融入了文化的最深層社會價值，並以物質，美學的形式表達了他們。本課程將教授如何將建築理解為文化表現形式和技術成就。對比例性建築物進行生動的分析，並在圖紙和建模中進行動手練習。課程第一部分介紹了建築想像力的概念。探索了透視圖和建築類型學。然後，將介紹技術作為體系結構的組成部分，創新技術可以實現和促進新的審美體驗或技術的進步改變了可以建造及改變現有的建築觀念。最後，將面對建築與其社會和歷史背景及其受眾，成就和願望的複雜關係。讓學生了解架構的表示能力，看到它如何產生集體意義和記憶。

A quantitative introduction to the energy system and its environmental impacts.

本課程以介紹海洋博物館為出發點，引領學生自此一窗口向外眺望，從博物館的設施、營運、管理，乃至教育、研究、保育等宗旨目標開始，旁及生物馴養技術、教育展示規劃、現代科技應用等範疇。進而拓展至真實海洋環境，從海洋知識累積學習中，點出各種區域性和全球性之海洋環境議題，與人類在全球變遷中所扮演的角色。並由人與海洋之關係，以綠島為例，觸及歷史溯源、社區重建、經濟轉型等人文關懷之社會議題，再從而反思如何減緩人為環境衝擊，以達永續環境經營之終極目標。

Software is quickly becoming integral part of human life as we see more and more automation and technical advancements. Just like we expect car to work all the time and can't afford to break or reboot unexpectedly, software industry needs to continue to learn better way to build software if it were to become integral part of human life.
In this course, you will get an overview of how software teams work? What processes they use? What are some of the industry standard methodologies? What are pros and cons of each? You will learn enough to have meaningful conversation around software development processes. After completing this course, a learner will be able to 1) Apply core software engineering practices at conceptual level for a given problem. 2) Compare and contrast traditional, agile, and lean development methodologies at high level. These include Waterfall, Rational Unified Process, V model, Incremental, Spiral models and overview of agile mindset 3) Propose a methodology best suited for a given situation

本課程分為人工智慧（上）、人工智慧（下）兩部份，第一部分除了人工智慧概論外，著重在目標搜尋、meta heuristic、電腦對弈、演繹學習（包含證言邏輯、一階邏輯及 planning ）等技術。這些技術主要發展時機為人工智慧的第一波及第二波熱潮，也就是 1950 年代至 1990 年代附近的主流發展，即使到現在也在各個領域廣為應用。
課程教學目標： 使同學對人工智慧有基礎概念 同學能夠理解如何運用目標搜尋技術及演繹學習方式達成人工智慧 同學能將相關技術應用到自己的問題上。

本課程主要探討房地產市場和資本市場之間的關係，由基本法規條文介紹抵押貸款的組成；並分析以及評價各種形式的房地產證券，包含MBS、CMOs、MSR、逆向抵押貸款及相關衍生性商品，同時也會介紹房地產市場中會面臨的風險和報酬、房地產證券化市場的運作模式，了解估計抵押貸款證券需要注意的細節。

隨著政府、媒體、學術界和業界對於永續性的日益關注，顯示出永續性是當今社會面臨的關鍵問題之一。在永續發展的背景下，政府、管理者、社會和學術界皆致力於了解永續性如何影響傳統的經商方式以及傳統企業如何受到永續性的影響。發展永續競爭優勢是當今管理者的一個關鍵挑戰。
本課程為線上課程，從企業永續性(核心)、商業倫理和社會創新三個角度介紹永續性，並進一步討論其在於經濟、環境和社會之觀點。本課程有助於同學了解永續性議題、政府之攸關性、企業所扮演的腳色以及對政策制定之意涵。

本課程試著將藏在生活中俯拾可得的物理現象，以及文學作品中描述的物理現象，經由設計一些你在家中就可以動手做的實驗與觀察，收集一些資料，來瞭解許多現象背後的物理。
本課程為跨校通識學分課程並開放一般學員興趣學習。110-1學期 學分認抵學校：國立臺灣海洋大學

This course is a continuation of Electrodynamics: An Introduction and Electrodynamics: Analysis of Electric Field. Here, we will introduce magnetostatics and relate it to the material we learned previously. In addition, we will cover the basics of the electromotive force and how it can be used to build different devices.

單元 1:相見歡：大數據與當代生活
單元 2:結合設計思考，啟動大數據專案
單元 3:大數據的倫理議題
單元 4:期中作業週
單元 5:數位轉型動畫
單元 6:讓資料動起來
單元 7:製作儀表板
單元 8:期末考週

單元 1:Python 的安裝與使用
單元 2:我會用 Python 算速度
單元 3:從一堆測量值中找出規律
單元 4:把軌跡畫出來吧
單元 5:丟一顆球
單元 6:盒中的一顆球
單元 7:盒中的兩顆球
單元 8:盒中的一大堆球
單元 9:畫一個波吧
單元 10:兩個波的纏綿
單元 11:水波與聲波
單元 12:光與電磁波

Introduction
Module I: From Start to Finish
Module II: Organizing the Information
Module III: Researching Your Subject
Module IV: Capstone Project

Unit 1: Is the Earth Getting Warmer?
Unit 2: The Greenhouse Effect
The Impacts of Climate Change on our World
Discovering Cleaner Energy Sources to Power the World
What Might the Future Hold?

IELTS Writing Section Skills Mastery(8小時)
IELTS Listening and Speaking Sections Skills Mastery(5小時)
IELTS Reading Section Skills Mastery(6小時)

本磨課師課程內容涵蓋環境科學(Environmental Science)、環境技術(Environmental Technology)、環境保護(Environmental Protection)三大面向，期藉由本課程之修習，培養修課者正確的環境保護觀念，藉由環境科學與技術之學習，瞭解環境議題內涵及污染防治解決之道，達到環境保護之學習目標。本課程初步規劃內容，期能結合修課者之興趣，並以環境科普知識之介紹為切入點，培養其具有山海胸襟與自然情懷，充實環境保護相關知識，提升環境污染改善學識及能力，培養其成為具備環保觀念的良好現代公民。

Mountains are recognized as particularly sensitive physical environments where intense and rapid changes have in the past, and may increasingly in the future, place pressure on their resource base.
In this context, a team of roughly 100 experts worked from 2008 to 2013 for the European ACQWA project (www.acqwa.ch) which was coordinated by the University of Geneva. The primary objectives of the project were to assess the impacts of a changing climate on the quantity and quality of water originating in mountain regions, particularly where snow- and ice melt represent a large, sometimes the largest, streamflow component. A further objective of the project was to determine the potential disruptions to water-dependent economic activities related to the climate impacts on hydrological systems, and to propose a portfolio of possible adaptation strategies.

本課程授課對象為工程領域大學部學生，特別是有意願學習現代生物醫學工程基礎知識的學生。課程內容涵蓋了：電子學、控制理論、微處理機 (Arduino) 以及進階程式撰寫 (MATLAB)。選修本課程的學生需具有大一程度的數學和物理能力。學生在休完本課程後，應能了解電生理信號擷取、微處理機程式串接和資料傳輸，訊號處理，簡易機器人控制和即時訊號擷取處理。
Electronics 5小時:擷取微弱電生理訊號之電路設計。How to design and analyse the electronics related to the weak signal acquisition, particularly electrophysiology.4個視頻(總計44分鐘)，9個閱讀材料，3個測驗。
Control theory 4小時:機電系統分析以及微控制器迴路設計。How to analyse electro-mechanical systems and design the closed-loop controllers for them.3個視頻(總計18分鐘)，4個閱讀材料，3個測驗
Real-time Embedded Systems (Arduino) 4小時:如何編寫 Arduino 應用在即時控制。How to code in Arduino for real-time control applications。4個視頻(總計27分鐘)，4個閱讀材料，3個測驗
High-level programming and complex control (MATLAB) 4小時:如何編寫 MATLAB 應用在進階訊號處理。How to code in MATLAB for advanced signal processing。3個視頻(總計26分鐘)，4個閱讀材料，3個測驗

本課程利用實際的範例和練習，教導科學家們能有效的撰寫文章。上課主題涵蓋：優良寫作的原則、快速寫作的技巧、科學論文的格式、同儕審查、計畫撰寫、科學論文發表的倫理以及科普文章撰寫。
Unit 1 (2 hrs ) introduces the course and reviews key principles of effective writing. In particular, you will practice cutting clutter from writing.
Unit 2 (2 hrs ) focuses on writing with strong, active verbs. Lessons include how to: write in the active voice; avoid turning verbs into nouns; choose strong verbs; and get to the main verb of a sentence quickly.
Unit 3 (4 hrs ) reviews how to vary sentence structure and write strong paragraphs. You will practice using the dash, colon, semi-colon, and parentheses, as well as writing well-organized and concise paragraphs.
Unit 4 (4 hrs ) reviews the writing process. I will give you tips for making the writing process easier, more efficient, and more organized.
Unit 5 (3 hrs ) reviews the sections of a scientific manuscript. You will learn how to format tables and figures, and how to write results, methods, introduction, and discussion sections.
Unit 6 (8 hrs ) discusses the peer review process, as well as ethical issues in scientific publishing. You will learn how to avoid plagiarism, determine authorship, submit a paper, write a peer review, and avoid predatory journals.
Unit 7 (2 hrs ) reviews types of writing beyond original research manuscripts. You will learn how to write review papers, grants, letters of recommendation, and personal essays.
Unit 8 (2 hrs ) reviews communication with broader audiences. You will learn how work with the media, be interviewed, conduct an interview, and write about science for general audiences.

台灣較少有STOP MOTION 的教育機構和學習資源，一直以來有興趣的人多半透過自學，或是求教於具經驗之資深人士分享各種創作手法，過程曠日費時。且STOP MOTION由材質到拍攝的各種手法，可說是五花八門，也較沒有一個條列化的步驟供有志學習STOP MOTION技術的學員入門，本課程將引導學員依循製作步驟，完成偶動畫。
動畫是依照視覺暫留原理而來，基本觀念是一秒鐘播放超過八張圖像來形成動態畫面，稱之為影格播放，若能掌握並且了解影格規劃，偶動畫的的表演便可活靈活現，在課程中亦將實際來示範拍攝，由舞台到偶的表演與拍攝都 有安排教學單元。
透過學員間的分享，體現「共同學習」以及「及時回饋」的學習成效，並希望能向更多人推廣這項穩步學習，有趣的技術。 　　於第九週課程進行特別來賓的訪談，前進台灣現有的偶動畫創作工作坊，貼身訪問動畫導演、如入圍第54屆金馬獎的導演黃勻弦與唐治中等人一起談談他們的偶動畫與工作室的故事。藉由資深經驗的專家們分享，讓學員們更加了解偶動畫產業。

課程進度表：
第1週 第一週課程：stop motion 入門
第2週 第二週課程：認識剪紙動畫與準備材料
第3週 第三週課程：製作偶的骨架
第4週 第四週課程：製作偶頭
第5週 第五週課程：製作可替換口部的偶頭
第6週 第六週課程：偶的頭髮與衣服
第7週 第七週課程：道具與拍攝臺製作
第8週 第八週課程：一部偶動畫的規劃與製
第9週 第九週課程：偶動畫工作室專訪

Enhance your skills in user interaction design and development
Want to learn the secret to great UX design? This UX course from the University of Michigan will teach you the systematic process of nurturing a product from its basic concept to a functioning prototype.

Define user needs and create a UX storyboard
You’ll begin the course by learning how to identify the problem you’re trying to solve for your user and discovering the UX techniques you can use to develop a design that solves it.

You’ll get hands-on experience in techniques like scenario development, UX sketching, and storyboarding, which you can use to translate your understanding of your users’ needs into an impactful user experience.

Build skills in UX wireframing and prototype design
As you discover the UX wireframing process, you’ll learn how to turn UX wireframes into prototypes that can be used for evaluating your designs in user testing.

This course covers the process of user testing using paper prototypes for early testing feedback as well as more interactive prototypes that can be iterated on to create a final, high-quality design.

Learn low to high-fidelity UX prototyping
By the end of the course, you’ll have developed your ability to build a product from its basic concept to a high-fidelity mockup and interactive prototype.

You’ll be able to solve and test conceptual issues in prototyping and design and refine a product that is ready to pass on to a team of developers for implementation.

本課程內容採用教育部補助發展『未來大腦4.0系列課程』之『數據驅動創新實踐』課程素材，內容主要瞄準基於智慧科技與工作業務流程創新之數位轉型趨勢介紹。尤其針對產業如何由「數位化」、「數位優化」演進到「數位轉型」。學員經由課程將吸收到國內外產業界推動數據驅動決策之1.創新實踐案例分析、2.人工智慧與數位轉型、3.創新實習—撰寫轉型文案、4.上機實作—資料視覺化、5.資料倫理等五大主題。

"Excel/VBA for Creative Problem Solving, Part 1" is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA).
This course is the first part of a three-part series and Specialization that focuses on the application of computing techniques in Excel/VBA to solve problems. In this course (Part 1), you will: 1) create macros to automate procedures in Excel; 2) define your own user-defined functions; 3) create basic subroutines to interface with the user; 4) learn the basic programming structures in VBA; and 5) automate Excel’s Goal Seek and Solver tools and use numerical techniques to create “live solutions” to solve targeting and optimization problems.
New to computer programming? The extremely intuitive and visual nature of VBA lends itself nicely to teaching and learning - what a fun way to learn to code! No prior knowledge in programming nor advanced math skills are necessary yet seasoned programmers will pick up new and creative spreadsheet problem solving strategies.
After you have learned the basics of VBA, each module will introduce foundational and broad problems inspired by situations that you might encounter in the real world. To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment. This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.

本課程分為人工智慧（上）、人工智慧（下）兩部份，第一部分除了人工智慧概論外，著重在目標搜尋、meta heuristic、電腦對弈、演繹學習（包含證言邏輯、一階邏輯及 planning ）等技術。這些技術主要發展時機為人工智慧的第一波及第二波熱潮，也就是 1950 年代至 1990 年代附近的主流發展，即使到現在也在各個領域廣為應用。
課程教學目標：使同學對人工智慧有基礎概念，同學能夠理解如何運用目標搜尋技術及演繹學習方式達成人工智慧，同學能將相關技術應用到自己的問題上

Software is quickly becoming integral part of human life as we see more and more automation and technical advancements. Just like we expect car to work all the time and can't afford to break or reboot unexpectedly, software industry needs to continue to learn better way to build software if it were to become integral part of human life.
In this course,  you will get an overview of  how software teams work? What processes they use?  What are some of the industry standard methodologies? What are pros and cons of each?  You will learn enough to have meaningful conversation around software development processes.
After completing this course, a learner will be able to
1) Apply core software engineering practices at conceptual level for a given problem.
2) Compare and contrast traditional, agile, and lean development methodologies at high level.  These include Waterfall, Rational Unified Process, V model, Incremental, Spiral models and overview of agile mindset
3) Propose a methodology best suited for a given situation

本課程除設計思考的概念介紹與理念說明外，更重視運用各種設計方法與策略的實作經臉，因此適合全國大專院校有興趣設計思考約在學學生，以及對設計思考想要有進一步暸解的社會人士修習。尤其是有志於1現在正從事產品設計、使用者介面設計、使用者互動規劃以及使用者經險評估等工作的在學學生與在職社會人士，將可透過本課程系統化地獲得有關設計思考的理論知識與實務經臉，培養跨領域知識，並接受入門程度的設計思考方法實作訓練，有潛力成為符合企業實務要求的實作技術人才，協助提昇設計丶製造與服務相關產業的產品水準。

探索英國文化，同時提高英語語言技能。在這三門課程中，將在與英國各地人士的訪談中聽到地道的英語，根據所聽到的英語進行語言活動，並在每一步分享自己的想法、經驗和意見。將加深對英國文化和歷史的理解，也幫助提高英語水平，並為您提供每一步練習的機會。

Chemical biology is a burgeoning field that has rapidly risen to prominence. This surge of interest has been fuelled by chemical biology’s applicability to understanding critical processes in live cells or model organisms in real time. This success has arisen because chemical biology straddles a nexus between chemistry, biology, and physics. Thus, chemical biology can harness rapid chemistry to observe or perturb biological processes, that are in turn reported using physical assays, all in an otherwise unperturbed living entity.

Although its boundaries are endless, the multidisciplinary nature of chemical biology can make the field seem daunting; we beg to differ! Here, we deconstruct chemical biology into its core components, and repackage the material. In the process we build up for each student a practical and theoretical knowledge bank that will set these students on their way to understanding and designing their own chemical biology experiments.

We will discuss fluorescence as a general language used to read out biological phenomena as diverse as protein localization, membrane tension, surface phenomena, and enzyme activity. We will proceed to discuss protein labeling strategies and fusion protein design. Then we will discuss larger and larger scale chemical biology mechanism and screening efforts. Highlights include a large amount of new data, tailored in the lab videos, and a large number of skilled presenters.

本課程主要介紹無機螢光材料的發光原理、材料設計與製備、特性鑑定方法與應用，此外螢光材料相關的發光學、色度學亦為課程內容，適合對無機發光材料感興趣且曾經修過無機、固態與物理化學者選修。

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

Topics include Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, Multiple Comparisons.

本課程在簡述基本的電化學原理與電分析觀念後，將著重於電化學表面處理及儲能系統介紹。

本課程旨在推廣物理治療通識教育，使台灣民眾對於疼痛能夠免於恐懼、勇於面對。將藉由疼痛教室架構之建立，提供一般人對於日常疼痛成因與其防治之道之基本認識，並學習相關問題之簡易自我檢測與自療技巧。課程中除教授各式基本知識與技巧外，將納入常見疼痛實例以提高學習效果。此外，特別引進線上影音測驗以利用動作學習之反饋機制來彌補無實作課程之不足，期能協助學員有效建立疼痛自覺系統並熟悉疼痛自療技巧，達到早期介入與防微杜漸之終身學習目標。

本課程融入生活化案例及故事性情節，引導大家思考醫學檢驗對身體健康的重要性。此外，加入實驗室檢驗操作流程影音，引發學員共鳴，深入淺出地瞭本課程邀請到業界醫師(家醫科、血液腫瘤科等)正確解說醫療上的流程及醫學檢驗項目如何協助判定。以及邀請業界經驗的檢驗分析專家(慈濟醫院檢驗醫學科林等義主任) 操作實驗實況大解密，進行技術知識的說明及技術操作的流程。解醫學檢驗的知識與技能。

中藥的加工源自於火的使用，利用各種不同的加熱方法優化藥材品質丶增加功效丶降低毒性丶便於使用與貯存。而本課程即是利用日常生活中廚房內的蒸、煮、炒、炸的烹飪技術，說明中藥加工的方法，再透過藥廠之實務影片，讓學員更深刻體會中藥加工方法的進步與中藥品質控管。將根據明代陳嘉謨【本草蒙筌】記載：『凡藥製造，貴在適中，不及則功效難求，太過則氣味反失。製四：有煅、有炮、有炙、有炒不同; 水製三：有漬、或泡、或洗之弗等; 水火共製造者：若蒸、若煮而有二焉，餘外製雖多端，總不離此二者。』，及明代繆希雍、莊歛共著之【炮炙大法】記載之炮炙十七法作為主要課程內容依據，其炮製技術步驟圖將參考明代『補遺雷公炮製便覽』書之圖片

 課程內容承襲了中藥概論、本草學，仍以三位主人翁於藥膳餐廳、中醫診所及中藥廠的日常生活互動當故事主軸，以2D卡通及影片依序講解起源、一般修治、水製、火製、水火共製及特殊加工。希望透過此圖像化丶影像化可讓學員中藥加工的奧妙

使學員了解正確學習生物製劑之原理
使學員了解生物製劑之製劑步驟與藥物動力學評估
使學員理解目前上市生物製劑之種類和臨床研究
使學員了解生物製劑於臨床運用實例及相關議題討論
On this course, you’ll enhance your working knowledge of pharmacotherapy by understanding the principles and technologies of therapeutic protein products.

You’ll study the history and learn about the various techniques and tools involved in making biotechnology products.

Through clinical research and case-based exercises, you’ll explore everything from immunogenicity and formulation to pharmacokinetics and pharmacodynamics.

Ultimately, you’ll discover the full scope of biotechnology products, from bench research to clinical use, and learn how to evaluate PK/PD correlations of biotechnology products.

Discover how innovative technologies could revolutionise the food sector
Please note that this course runs without facilitation.

Food quality and safety is increasingly under threat as natural resources are stretched by climate change, hunger, and explosive population growth.

On this course, you’ll learn how the food sector can respond to these challenges by adopting innovative tech. You’ll discover how data-enabled technologies are becoming more accessible and affordable, driving a revolution in how the food business operates.

You’ll identify how these innovations can make the food chain and food systems more efficient and productive, allowing them to contribute to the UN’s Sustainable Development Goals.

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning
(parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

本課程分為人工智慧（上）、人工智慧（下）兩部份，第一部分除了人工智慧概論外，著重在目標搜尋、meta heuristic 電腦對弈、演澤學習（包含證言邏輯 一階邏輯及 planning) 等技術。這些技術主要發展時機為人工智慧的第一波及第二波熱潮，也就是1950年代至1990年代附近的主流發展，即使到現在也在各個領域廣為應用

本課程雖以著作權法為重點，但因為以實際案例為講述核心，深入淺出介紹實務各種疑難問題，並以經濟部智慧財產局回應各界之實務疑義解釋函件及智慧財產法院具體個案判決為依據，學習者易於理解，同時又分別提醒不同行業別應注意之著作權議題，是非常實用又貼近社會需求的課程，足以吸引學校教職員生及各行業人員興趣，讓學習者能快速精確地掌握著作權法的真義，運用於日常學習、工作及生活中。
本課程分為9週，每週由數個5-10分鐘的單元影片所組成。同時，每單元均搭配有單元測驗，每週配合課程內容提供當週總結性測驗，另安排期末考、作業考核學習成果，考核標準請參見「教學評量方式」。

Learn about contracts from Harvard Law Professor Charles Fried, one of the world's leading authorities on contract law. Contracts are promises that the law will enforce. But when will the law refuse to honor a promise? What happens when one party does not hold to their part of the deal? This version of the course adds new units on Interpretation, Agency, Partnerships, Corporations, and Government Regulation.

課程簡介
社會創新是為了符合各種社會需求，延伸和增強公民參與的新策略、新觀念、新想法和新組織。本課程介紹運用創意設計思考及新科技所能達成的社會變革和創新，引導學習者運用分析和設計工具，針對實際場域，提出改善社會的創新方案。

課程目標
一、藝術創客(Arts Maker)的實踐力
 二、投入社區的藝術實踐
 三、全國社區的美感經驗分享與串連

On this course, you’ll learn what social innovation is, how it can best be supported and where innovation efforts should be concentrated. You’ll specifically focus on the challenges facing rural areas.

You’ll be introduced to a range of approaches for actioning social innovation initiatives as you explore the role of communities and society in innovation development.

Using global case-studies, you’ll analyse new approaches proposed by 26 partners involved in the EU H2020 research project, SIMRA. You’ll explore the findings of the project, led by the project partners themselves.

透過本課程的學習，將使學習者練就一身著作拳(權)好功夫：
1. 掌握著作權法制相關概念及規定真義；
2. 正確地將著作權運用於學習、工作及生活中；
3. 有效地保護自身著作權，且不至於侵害他人著作權。

This course is for language educators who wish to learn how to build and teach a blended language course. You may receive 1.5 Graduate Teacher Education credits (GRTE) for completing this course. See below for more information.
This course is divided into four modules.
In the first module we are going to discuss the origins and effectiveness of the blended learning model.
In the second module, we are going to look at course level considerations such as how to choose a blended format or how to build a blended course syllabus.
In the third module, we are going to focus on the unit level. We are going to discuss how to plan a blended unit, how to go about presenting content,designing blended activities and assessment strategies.
In the fourth module, we're going to turn our attention to the teaching aspect of the blended learning experience.

Acquiring good academic research and writing skills early on is essential for your success both at university and in your professional life. This course aims:
- to give you an understanding of the conventions of academic writing in English and to teach you the components and benefits of what is called process writing.
- to help you to put together your own “toolbox” of academic writing skills, as well as to give you a chance to test out these tools and to reflect on your own development as a writer.
- to encourage reflection on discipline specific conventions; although the course deals with generic skills, you will be able to apply these generic skills to meet the particular needs of your own discipline.
The course is free of charge, and learners have access to a free electronic textbook written to complement the MOOC: Writing in English at University: A Guide for Second Language Writers.

由國立宜蘭大學陳復教授統籌總策劃，邀請享譽國際的本土心理學大師黃光國教授、望重士林的新儒學思想大師林安梧教授、兩岸紅學專家朱嘉雯教授與歷史文獻專家辛法春教授攜手共同合作，文史哲心四大領域空前大集合，將五大儒藏與五大奇書全部呈現在你面前，幫你解讀這些作品背後的深意，讓你藉由品嚐哲學與文學作品如何內蘊做人處事的態度，來展開波瀾壯闊的生命教育歷程。

本課程是為非資料科學專業者設計的大數據領域入門課程，偏商管應用，非資訊技術教學。透過修習本課程，學員將能對資料科學商管領域的範疇與分類建立基本的觀念，並且瞭解其在商管領域的各種應用。在學的學生可藉此為職涯做準備，在職的社會人士則可拓展自己對資料科學的想像，進一步思考在自身工作場域應用資料科學的可能性

Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.

本課程中，將精選八項心理學與日常生活息息相關的應用議題，藉由生活物件設計(人因心理學)、消費行為、領導管理、性格分析、犯罪行為、心理保健與心理測驗、人際關係等方面運用生活知能、個體行為與態度、測驗診斷加以說明詮釋應用心理學之奧妙。例如:自行車設計動向、民眾購車消費行為、便利商店兌幣代換機制、組織領導策略、關注情緒管理、人格特質透析、以及如何經營成功良好的職場與人際關係等事例，深入淺出探討來應用心理學的理論與實際生活經驗分析概念。

In this course you will engage in a series of challenges designed to increase your own happiness and build more productive habits. As preparation for these tasks, Professor Laurie Santos reveals misconceptions about happiness, annoying features of the mind that lead us to think the way we do, and the research that can help us change. You will ultimately be prepared to successfully incorporate a specific wellness activity into your life.

本課程將以簡單的電腦小遊戲為包裝，從中了解程式邏輯及運算思維，進而學習Processing程式設計技巧。透過年輕人的語言與表達方式，跳脫老師的呆版形象，讓學生能在學習的過程中，不僅能紮實學習更增添許多有趣的元素。此外本課程著重與動畫結合之多媒體程式設計，讓同學在學習程式邏輯中體驗撰寫程式的樂趣，最後能獨立製作屬於自己的遊戲。

Subjects covered in this course
- An introduction to Design Computing as a subject and why designers should learn to code.

- The fundamentals of coding in the Python scripting language. By the end of the course students will be familiar with the basic structure and syntax of this language.

- The understanding and application of Rhinoscriptsyntax, a native coding language in Rhinoceros that’s imported into Python, which allows one to create and control geometries through authoring code.

- The application of Procedural Logics - the structuring of coding systems to produce variable geometric form.

- The output of geometries in still and animate forms.

本課程設計乃以「教案設計為主，教育雲運用為輔！」為課程宗旨，帶領學員如何從教案發想到與教育雲工具結合，製作出一份精彩的雲端應用的教案。這些整合國內外數位資源與服務為單一入口 (教育雲)，提供跨平臺整合查詢服務，可便利教師教學或學生學習所需之教育資源的使用。

從了解數位學習的的商業模式，以及規劃數位學習課程所需的前置作業，到熟悉數位學習的經營模式，並選擇合適的經營模式執行該校之方式，例如：聯盟模式、通識磨課師模式、產學合作模式、跨校共同開課模式、終身學習模式以及如何經營與推廣，共六個主題，讓各校可以循序漸進由淺入深建構完整的數位學習經營模式。 

Students will learn about, critique, and practice methods for analyzing interaction in classrooms, developing tools to build more engaged, effective, and equitable classroom communication.

The overarching goal of this course is to learn evidence-based practices to support the social and emotional development of infants and young children. We will read current research on the developmental trajectory of children with early-onset aggressive behaviors; positive behavior support program models; and intervention efforts that promote positive early childhood mental health. Evidence-based classroom management skills will also be studied and you will leave the course with a solid understanding of how to design supportive environments. This course incorporates a community with which you can learn from others, share your own current approaches and discuss your attempts to incorporate the learnings of this course into your early childhood practice.