| 國立中興大學教學大綱 |
| 課程名稱 (course name) |
(中) 數據科學在教育數據分析理論與應用(一)(5919) | ||||
| (Eng.) Theory and Application of Data Science for Education Data (I) | |||||
| 開課單位 (offering dept.) |
資科所 | ||||
| 課程類別 (course type) |
選修 | 學分 (credits) |
1 | 授課教師 (teacher) |
彭冠舉 |
| 選課單位 (department) |
不限系所 | 授課語言 (language) |
中文 | 開課學期 (semester) |
1141 |
| 課程簡述 (course description) |
In this course, we will introduce some classical models and their theoretical foundation. Then, we will focus on the applications of using these models on the education data. Our objective is to prepare the students to expand their teaching techniques for their current lectures using machine learning. | ||||
| 先修課程名稱 (prerequisites) |
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| 課程與核心能力關聯配比(%) (relevance of course objectives and core learning outcomes(%)) |
課程目標之教學方法與評量方法 (teaching and assessment methods for course objectives) |
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| 課程目標 | 核心能力 | 配比(%) | 教學方法 | 評量方法 | |||
| 1、 了解機器學習演算法的理論基礎並實做機器學習演算法 2、 能夠將機器學習的分析方法應用在教育相關的大數據資料 |
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| 授課內容(單元名稱與內容、習作/每週授課、考試進度-共18週) (course content and homework/tests schedule) |
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| Formal Model Perceptron | |||||||
| 學習評量方式 (evaluation) |
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| 作業30%、測驗30%、專題40% | |||||||
| 教科書＆參考書目(書名、作者、書局、代理商、說明) (textbook & other references) |
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| 自編講義 | |||||||
| 課程教材（教師個人網址請列在本校內之網址） (teaching aids & teacher's website) |
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| 課程輔導時間 (office hours) |
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| 預約 | |||||||
| 請尊重智慧財產權及性別平等意識，不得非法影印他人著作。 | 列印日期：2025 年 7 月 02 日 |