| 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 |
|---|---|---|---|---|
| 3735009 | 數據模式辨識和分類 | Data Pattern Recognition and Classification | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程介紹數據分析的基本及進階的概念和技術，以及如何將它們應用於大規模數據集。主要是在回顧描述性統計，概率分佈，推理統計（估計和假設檢驗）和回歸分析，機器學習技術(PCA、ICA)、判別分析、聚類分析、SVM、隨機森林、人工神經網絡、DTW、EMD。此外，本課程將使用流行且功能強大的數據分析語言(即R)來解決許多實際問題。 | |||
| 英文概述 English Description | This course covers the basic and advanced concepts and techniques of data analytics and how to apply them to large-scale data sets. Mainly, after a review of descriptive statistics, probability distributions, inferential statistics (estimation and hypothesis tests), and regression analysis, various machine learning techniques such as PCA, ICA, discriminant analysis, cluster analysis, SVM, random forest, artificial neural network, DTW, EMD will be dealt. Also, this course will show you how to use the popular and powerful data analysis language, that is, R, to solve many practical problems based on use cases extracted from real domains. | |||
| 核心能力指標 | A.具備工業工程與管理的專業知識並瞭解其在相關領域的應用 D.創新思考與獨立解決問題的能力 | |||
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