| 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 |
|---|---|---|---|---|
| 3735011 | 資料科學 | Data Science | 3.0 | 3 |
| 中文概述 Chinese Description | 隨工業物聯網的快速發展，越來越多的感測數據得以被記錄，除了依賴專家的經驗判斷，更可藉由數據分析的結果提供決策上的輔助。本課程將介紹資料科學的基本分析架構，從問題定義、數據前處理、特徵工程、模型建立、結果解釋與評估等，除課堂講授資料科學工具與方法外，並利用作業、個案研究、案例資料，以訓練同學資料分析的能力與解決問題的經驗。 | |||
| 英文概述 English Description | With the advanced technology in Industrial Internet of Things, amount of sensors are installed to collect data during manufacturing production and service process. In addition to rely on domain knowledge, we can also construct a data-driven model and extract useful information and rule for decision support and management.. This course will introduce analytics framework of data science including problem definition, data preprocessing, feature engineering, model construction, and result evaluation and interpretation. In addition to lecture, this course also training students how to analyze the data and problem solving through homework, term project and case studies. | |||
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