1121 - 資料分析與實務
Data Analysis and Implementation
教育目標 Course Target
本課程是以Python程式語言為主，進行資料擷取與分析，引導學生從資料前處理一直到資料可視化的部分。利用Python所提供的套件，包含NumPy模組, Pandas模組等衍生資料結構，進行資料蒐集、資料前處理，並利用SciPy模組進行資料的統計分析，一步步地將資料轉化成為資訊，最後利用Matplotlib模組、tkinter模組與影像處理模組等進行資料可視化。由資訊中提取出知識，當作進行決策時的重要參考依據，使電機系學生具備資料分析的基本概念與實作技術。
This course is mainly based on Python programming language, conducting data acquisition and analysis, and guiding students from pre-processing of data to visualization of data. Using the suite provided by Python, including NumPy modules, Pandas modules and other derivative data structures, data collection and pre-processing, and data is used to conduct data statistical analysis, and data is converted step by step into information. Finally, data visualization is used using Matplotlib modules, tkinter modules and image processing modules. The knowledge is extracted from the information and is an important reference when making decisions, so that students in the electrician department can have the basic concepts and practical techniques of data analysis.
參考書目 Reference Books
1.自編教材
2.Python 資料科學與人工智慧應用實務, 旗標出版, 陳允傑著
3.Python 最強入門邁向數據科學之路, 深智數位出版, 洪錦魁著
1. Self-edited textbooks
2. Python data science and artificial intelligence application practice, flag publishing, written by Chen Yunjie
3. Python's most powerful path toward data science, deep intelligence digital publishing, written by Hong Junkui
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
課堂實作 Classroom practice |
60 | |
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期中考 Midterm exam |
15 | |
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期末考 Final exam |
15 | |
|
出席 Attend |
10 |
授課大綱 Course Plan
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 1121
- 學分 Credit: 0-3
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上課時間 Course Time:Wednesday/2,3,4[HT002]
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授課教師 Teacher:蔣惟丞
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修課班級 Class:電機系3,4
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選課備註 Memo:上課教室：HT002，107學年度前入學之IC通訊組、奈米能源組選修。
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