本課程以Python與Matlab語言實作基礎資料科學，主要從基礎開始說明Python與Matlab基本語法、並說明如何取得科學或工程上的資料、資料探索與資料的分類與預測，課程不只學習Python與Matlab的程式設計，主要培養建立基本及正確的資料科學相關觀念。This course uses Python and Matlab language as basic data science. It mainly explains the basic syntax of Python and Matlab, and explains how to obtain scientific or engineering data, data exploration, and data classification and prediction. The course not only learns Python and Matlab The program design mainly cultivates and establishes basic and correct data science related concepts.
本課程旨在培養學生熟悉程式語言 Python，並能用來解決科學及工程上所遇到的計算問題。
This course aims to train students to become familiar with the programming language Python and can be used to solve calculation problems encountered in science and engineering.
[1]An Introduction to Programming Using Python
by David I. Schneider,2016, Pearson Higher Education, Ltd.
[1]*https://www.programiz.com/python-programming
[2]Python程式設計: AI與資料科學應用，作者： 劉立民，出版社：普林斯頓國際有限公司
ISBN13:9789579548410
[3]Python 資料科學與人工智慧應用實務，作者： 陳允傑，出版社：旗標
ISBN：9789863125297
[1]An Introduction to Programming Using Python
by David I. Schneider, 2016, Pearson Higher Education, Ltd.
[1]*https://www.programimz.com/python-programming
[2] Python Programming: AI and Data Science Application, Author: Liu Limin, Publisher: Princeton International Co., Ltd.
ISBN13:9789579548410
[3] Python Data Science and Artificial Intelligence Application Technique, Author: Chen Yunjie, Publisher: Flagmark
ISBN: 9789863125297
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 第一+第三次期中考 第一+第三次期中考 The first + third midterm exam |
30 | |
| 第二+第四次期中考 第二+第四次期中考 Second + Fourth Midterm Exam |
40 | |
| 程式實作與出席 程式實作與出席 Programming and attendance |
30 |
