計算機概論
Introduction to Computer Science
| 節 | 週五 |
|---|---|
3 10:10–11:00 | 計算機概論 CS-PC4 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
本課程旨在提升人文學科同學之:(1)計算機基礎概念;(2)文書處理(Word, Excel, PowerPoint)基本技巧;(3)基礎Python程式設計;(4)資料分析與資料視覺化;(5)前沿AI工具介紹與應用。 課程大綱包括:(1)計算機簡介、資料儲存、資料操作、作業系統、網路、演算法、程式語言、資料抽象化、資料庫、人工智慧、前沿AI工具,共8次的課程;(2)微軟文書處理軟體Word、Excel、PowerPoint基本操作,共2次的課程;(3)Python開發環境介紹與安裝、基本語法與函數、控制流程,共2次的課程,並依需求調整課程內容;(4)資料清理、資料分析、資料視覺化,共2次課程。
N/A
Announce in new E3 system. Software: MS Office(Word、Excel、Power Point), Anaconda (Spyder), VS Code, or Google Colab
a. Homework and attendance: Total 4 assignments, two before midterm, two after midterm 20%; 5% each. b. In-class exercises 10% c. Attendance 10% d. Exams: Midterm 30%, Final 30%
| 週次 | 主題 |
|---|---|
| 第 1 週 | CS - Introduction |
| 第 2 週 | Holiday |
| 第 3 週 | Word - basic features, formatting paragraph, working with style PowerPoint - How to prepare an effective presentation, basic features, applying a theme |
| 第 4 週 | Excel - basic features, selecting range, understanding functions, charting process, pivot analysis table, data analysis practice HW1 |
| 第 5 週 | CS - Data storage |
| 第 6 週 | CS - Data manipulation CS - Operating systems HW3 |
| 第 7 週 | Holiday |
| 第 8 週 | Midterm Exam |
| 第 9 週 | CS - Algorithm |
| 第 10 週 | CS – Programming language |
| 第 11 週 | CS - Database systems |
| 第 12 週 | CS – Artificial intelligence Python – Installing integrated development environment and understanding online compiler HW3 |
| 第 13 週 | Python – concept of programming language, basic features and functions Python – control structure, algorithm, python package Python – data analysis, data visualization HW4 |
| 第 14 週 | Holiday |
| 第 15 週 | Final Exam: Presentation |
| 第 16 週 | Final Exam: Presentation |
主要教材: Brookshear, J. G. & Brylow, D., (2020). Computer science: An overview (13/E). Pearson Education Limited. 參考書: 1. 全華研究室、王麗琴(2015),Office2010學習手冊(第三版),全華圖書股分有限公司。 2.文淵閣工作室(2019),Python零基礎入門班,碁峰資訊股份有限公司。 3. Shaw, Z. A. (2017). Learn python 3 the hard way: A very simple introduction to the terrifyingly beautiful world of computers and code. Addison-Wesley Professional. 4. Granfille, V. (2014). Developing analytic talent: Becoming a data scientist. John Wiley & Sons.
- 時間
- By appointment
- 聯絡方式
- honyuma@gmail.com