Visual Basic的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Electrical Machine Theory Through Finite Element Analysis

為了解決Visual Basic的問題，作者Monti, A./ Ponci, F./ Riva, M. 這樣論述：

The finite element method is becoming increasingly important for electrical engineers. Moreover, the availability of user-friendly tools allows non-expert users to analyse in detail the magnetic field. In particular, a new didactic approach can be proposed for introducing electrical machine theor

y.This book puts forward an approach to the theory of electrical machines by means of finite element analysis. The basic idea is to provide the student with a wide set of solved problems in order to obtain a more "visual" approach to the magnetic field. The basic machine structures are discussed and

comparisons with analytic solutions are made.

Visual Basic進入發燒排行的影片

社會住宅智慧綠建築導入資訊模型之研究

為了解決Visual Basic的問題，作者洪國桓 這樣論述：

建築資訊模型(Building Information Modeling, BIM)是目前營建業界中，最熱門的技術，而BIM技術是一個在數位虛擬空間中可事先模擬營建工程專案中協助建築生命週期各項作業及可能情境中以利運用視覺化管理模式，達成事先解決問題，為工程作業中之新技術、新方法；然而BIM技術的發展還存在許多問題，主要是因為建築專案工程個案的獨特性、參與者眾多複雜與建築生命週期長等特質，造成設計與施工階段產生了許多不符預期的成果，對營運維護階段影響鉅大。本研究主要係依據文獻分析法、問卷調查法以及專家訪談法，調查相關文獻彙整分析國內公共工程運用BIM技術現況，以及國內各機關及廠商目前採用BI

M技術之情形，透過問卷方式確認題綱後與專家訪談彙整，且分析針對有關影響社會住宅智慧綠建築導入建築資訊模型之執行成效並研擬改善對策，藉以提升營建專案整體效率以及效益之價值。

Non-Obvious Guide to Statistical Literacy

為了解決Visual Basic的問題，作者Patel, Neal 這樣論述：

The guide to data and statistics for anyone who hates numbers and need a simple way to better understand what data is really telling you from former Googler and current Amazon Product Manager Neal H. Patel. The Internet has turned us into a society that runs on data, and most of us feel out of ou

r depth. This book helps make statistics accessible to everyone, especially those of us who find numbers intimidating, or just dislike them altogether.Here are some of the things you’ll learn in this book: What are the four essential traps that ruin survey data, how do can you avoid them?Why do crea

tive, right-brained people have a natural advantage in learning statistics?How can I be sure that the data I’m looking at gives me an accurate picture of what’s happening in the real world?In addition, you will learn statistics the right way-using your visual brain, simple math, basic (very basic) a

lgebra, and even a little philosophy and creative writing. With these five tools you’ll learn everything from how to create and analyze your own surveys to understanding what data really means.If you’ve ever said ＂I’m bad with numbers＂ this book is for you. If you’re in a job where you need to get f

luent in statistics, fast--this book is for you. Even if you just want to know how to make sense of opinion polls during the next election, this book is for you.About the Non-Obvious Guide Series - Like having coffee with an expert.Most business guidebooks treat you like a dummy or an idiot. Not thi

s one. This is a short and easy-to-read guidebook filled with useful, no bullshit, only-what-you-need-to-know, immediately actionable advice for getting more done and achieving more results on LinkedIn

數位學習對國小學童學習成效影響──以籃球運球上籃為例

為了解決Visual Basic的問題，作者張芊芊 這樣論述：

　　本研究旨在探討教師運用數位學習平台及影音媒體於健康與體育領域課程，對國小五年級學童之學習成效、籃球運球上籃動作表現之影響。本研究採用準實驗研究法，以高雄市某國小五年級一個班級28人作為研究對象，分成實驗組「數位學習組」14人，身高143.11±7.58公分、體重36.71±10.43公斤；控制組「實體授課組」14人，身高141.36±7.96公分、體重39.00±13.27公斤，進行8週共16節實驗教學。本研究以籃球運球上籃動作檢核表作為研究工具，以獨立樣本單因子共變數分析及相依樣本t檢定檢視兩組學生之前、後測分數有無顯著差異。本研究結果如下：實驗組學生在前測總得分為65.00±34.5

8分，後測為72.85±30.49分，p值為.010；控制組學生在前測總得分為46.42±25.60分，後測為59.28±26.73分，p值為.004，兩組前、後測共變數分析F值=1.08、p值=.309，未達顯著水準。綜上所述，可得以下結論：數位學習的介入，對實驗組在籃球運球上籃動作的表現有顯著正向影響，提升了學習成效，但與控制組無顯著差異。