本課程的目標是如何進行食品數據資料分析，建構資料分析的基本知識與技術。從最基礎的資料分析整理、資料庫連結及圖表呈現，以深入淺出的方式帶領學生進行資料科學應用。The purpose of this course is how to conduct food data analysis and construct basic knowledge and techniques for data analysis. From the most basic data analysis and organization, database links and graph presentation, we lead students to data science applications in a thorough and clear manner.
Han, J., Pei, J., & Kamber, M. (2011). Data mining: concepts and techniques. Elsevier.
劉立民 (2022) Python 程式設計-AI與資料科學應用，普林斯頓。
簡禎富、許嘉裕(2018) 大數據分析與資料挖礦，滄海書局。
Han, J., Pei, J., & Kamber, M. (2011). Data mining: concepts and techniques. Elsevier.
Liu Limin (2022) Python Programming Design-AI and Data Science Application, Princeton.
Suan Fu, Xu Jiayu (2018) Large data analysis and data mining, Huahai Bookstore.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 平時分數平時分數 Regularity |
40 | |
| 期中報告期中報告 Midterm Report |
30 | |
| 期末報告期末報告 Final report |
30 |
