臺灣全民學習平台 Smart Tech：Making decisions more valuable 講師:葉建寧 影音教學 英語發音(DVD版)
內容說明:
This course is a lower level undergraduate course, especially suitable for the first yesr freshmen. and it is an information science course for students without prior computer experiences.
The course introduces four information science topics, namely Artificial Intelligence, Bitcoin and Blockchain, Cloud Computing, and Data Science and Big Data, also known as ABCD. Although this course is an introductory course, in order to allow students to actually gain a hand-on experience, the course has added practice problems. In addition to the in-class(on-line) lectures, there are also computing lab exercises. The lab exercises and practice are mainly on
Microsoft Excel and Google Sheets.
課程目標
There are four topics in this course: Artificial Intelligence, Bitcoin and Blockchain, Cloud Computing, and Data Science and Big Data. Students who complete the course can have a preliminary understanding of these four major science developments and build a foundation for advanced learning. It also opens the direction of application to students' majors.
授課教師
教師姓名：Chien-Ning Yeh教師簡介：Dr. Yeh is an assistant professor of the department of Data Science & Analytics at I-Shou University, Taiwan. He has a Ph.D in Mathematics from the University of Wisconsin, Madison, and focused on Mathematical Logic. He has taught multiple courses on computer programming and data science at Data Science & Analytics department, and currently also teaches machine learning and artificial intelligence courses in the department of Healthcare Administration.
課程內容:
00_±D§÷
001_TaiwanLife_User Manual for Students.pdf
002_ReadThisFirst.pdf
003_PracticeProblems_BTC.pdf
004_BTC-USD-20221114.csv
005_Cities.csv
006_Lab1.pdf
007_Cities.csv
008_GoogleSheetsLab1.pdf
009_Cities.csv
010_Countries.csv
011_GoogleSheetsLab2.pdf
012_PracticeProblems_SO.pdf
013_ShoheiOhtani2021.csv
014_Cities.csv
015_Lab1.pdf
016_Cities.csv
017_Countries.csv
018_DSLab2.pdf
019_DSProblemSet1.pdf
020_DSProblemSet2.pdf
021_Cities.csv
022_Countries.csv
023_DSLab3.pdf
024_DSPracticeProblems3.pdf
025_DSPracticeProblems4.pdf
01_Artificial Intelligence,the early development
001_1-0 Introduction History of Artificial Intelligence1956 and Before.mp4
002_1-1 Theory of Computation Alan Turing.mp4
003_1-2 Neural Network Warren McCulloch!BWalter Pitts.mp4
004_1-3 Information Theory Claude Shannon .mp4
02_Artificial Intelligence,the beginning
005_2-0 Introduction History of Artificial Intelligence 1956.mp4
006_2-1 Natural language Joseph Weizenbaum!|s ELIZA.mp4
007_2-2 Micro-worlds Shakey The Robot.mp4
008_2-3 Speech Recognition.mp4
03_Neural Network
009_3-1 AI Winters - Introduction History of Artificial Intelligence ,AI Winters.mp4
010_3-2 Neural Network 1940~1970 .mp4
011_3-3_Neural Network 1980~2000 .mp4
012_3-4_Convolutional Neural Networ.mp4
04_Blockchain & BitCoin
013_4-1_Blockchain & BitCoin.mp4
014_4-2_Blockchain & BitCoin - Read This First.mp4
015_4-3_Blockchain & BitCoin - Data Science & Big Data Lab1 (Part 1).mp4
016_4-4_Blockchain & BitCoin - Data Science & Big Data Lab1 (Part 2).mp4
05_Cloud Computing
017_5-1_Cloud Computing.mp4
018_5-2_Cloud Computing - Lab Section I (Part 1).mp4
019_5-3_Cloud Computing - Lab Section I (Part 2).mp4
020_5-4_Cloud Computing - Lab Section I (Part 3).mp4
021_5-5_Cloud Computing - Lab Section I (Part 4).mp4
022_5-6_Cloud Computing - Lab Section I (Part 5).mp4
023_5-7_Cloud Computing - Lab Section II (Part 1).mp4
024_5-8_Cloud Computing - Lab Section II (Part 2).mp4
025_5-9_Cloud Computing - Lab Section II (Part 3).mp4
06_Data Science & Big Data (1)
026_6-1_Data Science & Big Data (1) .mp4
027_6-2_Data Science & Big Data (1) - Lab Section I (Part 1).mp4
028_6-3_Data Science & Big Data (1) - Lab Section I (Part 2).mp4
029_6-4_Data Science & Big Data (1) - Lab Section II.mp4
07_Data Science & Big Data (2)
030_7-1_Data Science & Big Data (2) - Lab Section I (Part 1).mp4
031_7-2_Data Science & Big Data (2) - Lab Section I (Part 2).mp4
032_7-3_Data Science & Big Data (2) - Lab Section I (Part 3).mp4
033_7-4_Data Science & Big Data (2) - Lab Section I (Part 4).mp4
034_7-5_Data Science & Big Data (2) - Problem (Part 1).mp4
035_7-6_Data Science & Big Data (2) - Problem (Part 2).mp4
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