Smart Tech：Making decisions more valuable(自學課程)
อาจารย์: 葉建寧
2024/09/30~2026/01/31
หมดเขตลงทะเบียน：2026/01/31
บทคัดย่อ
จุดมุ่งหมายรายวิชา
ข้อมูลผู้สอน
ตารางเรียน
เนื้อหารายวิชา
รูปแบบการเรียนการสอน
ระดับคะแนนในรายวิชา
ข้อมูลใบรับรอง

บทคัดย่อ

※本課程為自學課程，不提供測驗、討論區、證書等功能，亦無教師駐版！
This course is a self-study course and does not provide tests, discussion forums, certificates, or resident instructors.

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.

จุดมุ่งหมายรายวิชา

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.

ข้อมูลผู้สอน

  • 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.

ตารางเรียน

第1週:Artificial Intelligence,the early development

第2週:Artificial Intelligence,the beginning

第3週:Neural Network

第4週:Blockchain & BitCoin

第5週:Cloud Computing

第6週:Data Science & Big Data (1)

第7週:Data Science & Big Data (2)

เนื้อหารายวิชา

There are four topics in this course: Artificial Intelligence, Bitcoin and Blockchain, Cloud Computing, and Data Science and Big Data.

รูปแบบการเรียนการสอน

This course has 4 main topics: Artificial Intelligence, Bitcoin and Blockchain, Cloud Computing, and Data Science and Big Data. Each main topic contains several sub-topics. A video of 5-20 minutes will be created for each sub-topic.

ระดับคะแนนในรายวิชา

本課程為自學課程，不提供測驗、作業。
This course is a self-study course and does not provide tests.

ผลการเรียนที่ผ่านเกณฑ์


Course grade pass:100Grade Memo:max grade 100 point

รายวิชาหรือทักษะที่มีก่อนเรียน

No prerequisite knowledge is required for this course.

ข้อมูลใบรับรอง

本課程不核發修課通過證明。
This course does not issue a certificate of completion.
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