Smart Tech：Making decisions more valuable(2024春季班)
教师: 葉建寧
义守大学
2024/03/18~2024/06/28
概要
课程目标
授课教师
课程进度表
课程内容
上课形式
评分标准
其它

概要

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.

课程目标

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.

授课教师

  • 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.

课程进度表

第1周:Artificial Intelligence,the early development

第2周:Artificial Intelligence,the beginning

第3周:Neural Network

第4周:Blockchain & BitCoin

第5周:Cloud Computing

第6周:Data Science & Big Data (1)

第7周:Data Science & Big Data (2)

课程内容

There are four topics in this course: Artificial Intelligence, Bitcoin and Blockchain, Cloud Computing, and Data Science and Big Data. The teaching methods of this course include in-class(on-line) lectures, computer lab sections, practice problems, and assessment problem set.

上课形式

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. A class assessment will be administered every week to test learner’s understanding. These assessments will be used to evaluate learners’ learning outcomes. Please refer to the scoring criteria for more details.

评分标准

  • 課程及格標準: 60 分 滿分： 100分
  • Grading : "Pass" score: 60；"Full" score: 100
  • Seven quizzes : 70%
  • Participation (video watching): 30%

通过标准


Course grade pass:60Grade Memo:max grade 100 point

先修科目或先备能力

No prerequisite knowledge is required for this course.

其它

本課程修課通過證明費用：250元
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