| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 5905191 | 資料科學原理與應用 | Principles and Applications of Data Science | 3.0 | 3 |
| 中文概述 Chinese Description | 資料科學探索如何從大量、多元、非結構化的資料中發掘有價值的資訊，並有效提供相關的應用策略，探討的層面包括：資料處理及計算、資料儲存、數理統計及資料分析技術與應用等。本課程討論此一領域的進展，並使學生了解相關知識與技術工具，進而具備資料科學思維及應用能力。課程內容以廣度為主，主題包含資料管理、資料分析、資料視覺化、機器學習、深度學習，巨量資料等。 | |||
| 英文概述 English Description | Data science explores how to produce or create the valuable information and knowledge from large, multi-typed, or unstructured data and provides effective feedbacks to applications. It is integrative cross data processing and computing, data storage, statistics and probability, linear algebra, and skills of data analysis. This course introduces this rapidly growing field, discusses the state-of-art techniques, and provides students with the fundamental related knowledge as well as the ability to use software tools. The training of this course is toward equipping students with the general mindset and the ability to solve problems practically with the learned techniques. The course will be given on breadth, rather than depth, and its topics include data management, data analysis, data visualization, machine learning, deep learning, big data, etc. | |||
| 核心能力指標 | A.具備運用資訊、數學之能力，並能充分溝通與表 B.擁有軟體、網路、多媒體與嵌入式系統之資工專業知識，並至少專精其一 | |||
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