| 國立中興大學教學大綱 |
| 課程名稱 (course name) |
(中) 機器學習(7759) | ||||
| (Eng.) Machine Learning | |||||
| 開課單位 (offering dept.) |
大數據碩專班 | ||||
| 課程類別 (course type) |
選修 | 學分 (credits) |
3 | 授課教師 (teacher) |
彭冠舉 |
| 選課單位 (department) |
大數據碩專班碩專班 | 授課語言 (language) |
中文 | 開課學期 (semester) |
1122 |
| 課程簡述 (course description) |
In this course, we will focus on the algorithmic perspective of machine learning. Specifically, the implementation of the classical and the modern algorithms with python and TensorFlow. The major objective of the course is to establish students’ ability to read and to implement the modern machine learning algorithms in the recent research papers. And prepare the students to their future research works. | ||||
| 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 (2) 能夠實做機器學習演算法 (3) 能夠將機器學習的演算法應用到實際的問題 (4) 能夠清晰地說明並報告機器學習於實際應用時的方法原理、遇到的困難與展示最後的成果 |
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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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| Course Logits What is Machine Learning? Type of ML Implementation: Data Plotting | |||||||||||||
| 學習評量方式 (evaluation) |
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| (1) 期中考 I (20%) (2) 期中考 II (20%) (3) 期末考 (20%) (4) 期末報告 (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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| 1. Python Machine Learning, Sebastian Raschka 2. Introduction to Machine Learning, Ethem Alpaydm. | |||||||||||||
| 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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| 自編投影片教材、課堂筆記及課程錄影 (請於開學後參考本課程網頁 https://sites.google.com/email.nchu.edu.tw/mlcourse/machine-learning-data-science) | |||||||||||||
| 課程輔導時間 (office hours) |
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| To Be Determined. | |||||||||||||
| 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：2024 年 5 月 07 日 |