大數據實務課程,使學生了解大數據技術在實務上的應用及產業界的最新趨勢,並可以使用大數據的相關技術做數據的探勘分析及數據相關工程。
企業利用大數據分析的結果來精進公司的營運已成為一種趨勢。在學術界---特別是應用數學系---與大數據分析相關的學理課程，包括機率學、數理統計學、微積分、線性代數等，誠然奠定了處理數據所需的科學方法與邏輯思維之基礎。但只有科學方法與邏輯思維尚不足以應付企業實際產生的大量、多樣、且複雜的資料，本課程目的在讓同學了解企業處理數據的軟硬體架構，以及相關工具的使用。課程將以任務導向的方式，將這些軟硬體架構，以工具的使用，分階段以教師介紹與同學自學的方式交錯進行，課程的最後目的是讓同學完成一個真實數據處理專案。Large data practical courses enable students to understand the practical application of large data technology and the latest trends in the industry, and can use large data related technologies to perform data exploration and analysis and data related engineering.
It has become a trend for enterprises to use the results of large data analysis to improve their company's operations. In the academic world, especially the Department of Applied Mathematics - the science courses related to large data analysis, including chance learning, mathematical statistics, microscores, linear generations, etc., have laid the foundation for the scientific methods and logical thinking required to process data. However, only scientific methods and logical thinking are not enough to deal with the large, diverse, and complex data generated by the enterprise. The purpose of this course is to allow students to understand the software and hardware structure of the enterprise's processing data and the use of related tools. The course will be conducted in a task-oriented manner, using tools, and in stages through teacher introductions and self-study. The final purpose of the course is to allow students to complete a real data processing project.
自編教材
Self-edited textbooks
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 Midterm exam |
25 | 將依上課狀況調整之 |
| 期末考期末考 Final exam |
25 | 將依上課狀況調整之 |
| 平時成績平時成績 Regular achievements |
25 | 將依上課狀況調整之 |
| 其他其他 other |
25 | 將依上課狀況調整之 |
