Type of Credit: Partially Required
Credit(s)
Number of Students
* 每堂課皆需自備筆電至課堂上課
(TBA) This course targets on students who have zero background in programming, and aims to provide them with basic skills in processing the data themselves.
The goal is to let students know how to import packages with simple scripts to help further analyze linguistic data. In addition, basic machine learning applications will be introduced as well. Here, in this course, we’ll focus on handling text data with Python, which is one of the prevalent programming languages nowadays.
At the end of this course, students will need to do a final presentation and submit a final project.
能力項目說明
Students will learn how to write basic Python scripts to help process text data, and analyze linguistic data more efficiently. Basic machine learning applications will be introduced for students to have a general idea of how linguistic knowledge facilitate AI learning.
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
(TBA) 此課堂每週皆為程式實作課程，必須每堂自備筆電至教室上課。
Week 1 - Course introduction: Why Python? | Install Anaconda & Python 3
Week 2 - Variables and Data Types | interactive mode & IDE
Week 3 - Basic Data Structure: List, Tuple
Week 4 - Basic Data Structure: Dataframe
Week 5 - Regular Expression & Loop
Week 6 - Loop & Function
Week 7 - NLTK toolkit & Segmentation
Week 8 - Visualization
Week 9 - Machine learning: Decision Tree
Week 10 - Machine learning: SVM
Week 11 - HTML introduction
Week 12 - Crawler
Week 13 - Gradio
Week 14 - Final Project Discussion
Week 15 - Presentation
Week 16 - Term Project Due
(Tentative)
課程參與率40%: 包含出席率、課堂討論、小組討論參與率
課堂練習 30%: 課堂練習完成度
期末展演 20%: 期末成果口頭報告
期末報告 10%: 期末成果呈現完成度
*嚴格禁止抄襲
*無故缺席不得超過三次
Mark Lutz. (2013). Learning Python. O'Reilly Media, Inc. https://www.oreilly.com/library/view/learning-python-5th/9781449355722/
Wes McKinney. (2017). Python for Data Analysis. O'Reilly Media, Inc. https://www.oreilly.com/library/view/python-for-data/9781491957653/
Steven Bird, Ewan Klein, and Edward Loper. (2009). Natural Language Processing with Python. O'Reilly Media, Inc. https://www.nltk.org/book/