| 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 |
|---|---|---|---|---|
| 4906605 | 巨量數據分析與機器學習 | Big data analysis and machine learning | 2.0 | 2 |
| 中文概述 Chinese Description | 本課程旨在提供社會科學領域背景的碩博士研究生熟悉並掌握機器學習的分析技術，並能將其運用在分析巨量的結構(數字)或非結構數據資料(文字、圖像、社群關係)。課程內容將以python作為數據分析的軟體，並介紹如何使用網絡爬蟲以及API服務擷取並整理所需要的目標數據，此外將介紹包括知識圖譜的繪製、肢體動作圖像辨識、自然語言處理的技術以及應用等。由於本課程需要大量的程式編寫作業，並須有一定的程式與統計基礎，學生須先修過教育統計學和校務研究，始可修習本課程。另曾修習多變量分析課程者尤佳。 | |||
| 英文概述 English Description | This course is tailored for graduate students majoring in social sciences, equipping them with the skills to proficiently employ machine learning in their big data analysis endeavors. The applications of machine learning encompass both structured and unstructured data analysis. The course will include instruction on Python programming. Topics covered will encompass web scraping, data acquisition via API services, science mapping, motion detection, and natural language processing. This course places a high demand on both programming skills and a solid foundation in statistics. Prerequisite courses for enrollment in this course include educational statistics and institutional research. And taking multivariate analysis before this course is highly recommend although it is not requirement. | |||
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