資料科學軟體實作
Data Science Software and Computation Experiments
學期
114-1
學分
3
學分
當期課號
639004
永久課號
AICA30019
開課單位
智慧科學暨綠能學院
授課教師
魏澤人
校區
歸仁
類別
選修
上課時間表
| 節 | 週三 |
|---|---|
2 09:00–09:50 | 資料科學軟體實作 CM218 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
概述
In this course, we aim to help students developing the practical ability to use software computer tools for problem-solving and experimentation.
先修科目
Python, Linear Algebra
教學方式
All home works are hands on experiment, mostly using jupyter notebook.
評分方式
Homework 100% There will be a home for every 2 or 3 weeks
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Python review and numpy |
| 第 2 週 | numpy, ndarray, drawing with numpy Homework A: Drawing with numpy |
| 第 3 週 | ndarray and computer vision |
| 第 4 週 | pandas |
| 第 5 週 | matplotlib and scipy |
| 第 6 週 | matplotlib and scipyHomework B: plot a magic circle |
| 第 7 週 | Machine learning and sklearn |
| 第 8 週 | Machine learning and sklearnHomewor C: vectorize a low resolution bitmap |
| 第 9 週 | Cython and python environmentHomework D: fast matrix multiplication |
| 第 10 週 | Jupyter notebook and interactive widget |
| 第 11 週 | web and web crawler |
| 第 12 週 | Machine Learning frameworks and environments |
| 第 13 週 | Edge computing, AIOT, and Edge AI |
| 第 14 週 | Application and neural networks |
| 第 15 週 | Review and QA |
| 第 16 週 |
教科書
Python Data Science Handbook by Jake VanderPlas Released November 2016 Publisher(s): O'Reilly Media, Inc. ISBN: 9781491912058
Office Hours
- 聯絡方式
- tjwei@nycu.edu.tw