查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

111-2 316688 資料探勘 1 3.0 3 ★ 劉建宏
劉傳銘 AI雙聯專班 10 0 技術組，碩一修，3.19 4.8 4.16 5.7 5.21 6.3

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
111-2	316688	資料探勘	1	3.0	3	★	劉建宏劉傳銘	AI雙聯專班	10	0	技術組，碩一修，3.19 4.8 4.16 5.7 5.21 6.3

教學大綱與進度：

教師姓名劉傳銘　教師諮商時間(Office Hours)

Email cmliu@ntut.edu.tw

最後更新時間 2022-12-20 08:02:49

課程大綱 Data Mining will focus on the basic mathematical concepts and techniques for manipulated data, including ways for classification and clustering.

課程進度 Prof. Chien-Hung Liu Week 1 (9 hours): Data collection and linear regression | Lecture and Lab Week 2 (9 hours): Data processing and visualization | Lecture and Lab Week 3 (9 hours): Exploratory data analysis | Lecture and Lab Prof. Chuan-Ming Liu Week 4 (9 hours): Data munging; Scores and rankings | Lecture and Lab Week 5 (9 hours):Mathematical models; Linear algebra | Lecture and Lab Week 6 (9 hours):Logistic regression; Distance and network methods | Lecture and Lab

評量方式與標準 Homework Assignments 25% Midterm Project(II) 25% Homework Assignments 25% Final Project(II) 25%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
Suggested Textbooks: • Python Data Science Handbook by Jake VanderPlas, O'Reilly Media, Inc. (ebook available on https://jakevdp.github.io/PythonDataScienceHandbook/ ) • Data science from scratch by Joel Grus, O’Reilly Media, Inc., 2019 ISBN: 9781492041139 • The Data Science Design Manual by Steven S. Skiena, Springer-Verlag, 2017, ISBN-13: 978-3319554433 http://www.data-manual.com/ Course Materials: - https://developers.google.com/machine-learning/crash-course - https://github.com/jakevdp/PythonDataScienceHandbook - https://github.com/Pierian-Data/Complete-Python-3-Bootcamp - https://github.com/joelgrus/data-science-from-scratch - https://github.com/yhilpisch/py4fi2nd - https://scikit-learn.org/stable/auto_examples/index.html#model-selection Software References: - Python: Given below is a list of IDEs: - Cloud Shell Editor( https://shell.cloud.google.com/ ) (Web) - Google Colab(https://colab.research.google.com/) (Web) - Microsoft Visual Studio https://code.visualstudio.com/ (PC) - Microsoft Visual Studio + Anaconda ?

課程諮詢管道 For any inquiry, please use the following contact information:
Emails: cmliu@ntut.edu.tw( school); 11107@cc.ntut.edu.tw (Microsoft Teams)
Line ID: mobile.prof
FB: facebook.com/howard.liu.5
Phone: 4251 (in school)

課程對應SDGs指標

備註
In case of the need for distance learning, the on-line teaching will be given during the official class hours using Microsoft Teams.

教師姓名	劉傳銘　教師諮商時間(Office Hours)
Email	cmliu@ntut.edu.tw
最後更新時間	2022-12-20 08:02:49
課程大綱	Data Mining will focus on the basic mathematical concepts and techniques for manipulated data, including ways for classification and clustering.
課程進度	Prof. Chien-Hung Liu Week 1 (9 hours): Data collection and linear regression \| Lecture and Lab Week 2 (9 hours): Data processing and visualization \| Lecture and Lab Week 3 (9 hours): Exploratory data analysis \| Lecture and Lab Prof. Chuan-Ming Liu Week 4 (9 hours): Data munging; Scores and rankings \| Lecture and Lab Week 5 (9 hours):Mathematical models; Linear algebra \| Lecture and Lab Week 6 (9 hours):Logistic regression; Distance and network methods \| Lecture and Lab
評量方式與標準	Homework Assignments 25% Midterm Project(II) 25% Homework Assignments 25% Final Project(II) 25%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 Suggested Textbooks: • Python Data Science Handbook by Jake VanderPlas, O'Reilly Media, Inc. (ebook available on https://jakevdp.github.io/PythonDataScienceHandbook/ ) • Data science from scratch by Joel Grus, O’Reilly Media, Inc., 2019 ISBN: 9781492041139 • The Data Science Design Manual by Steven S. Skiena, Springer-Verlag, 2017, ISBN-13: 978-3319554433 http://www.data-manual.com/ Course Materials: - https://developers.google.com/machine-learning/crash-course - https://github.com/jakevdp/PythonDataScienceHandbook - https://github.com/Pierian-Data/Complete-Python-3-Bootcamp - https://github.com/joelgrus/data-science-from-scratch - https://github.com/yhilpisch/py4fi2nd - https://scikit-learn.org/stable/auto_examples/index.html#model-selection Software References: - Python: Given below is a list of IDEs: - Cloud Shell Editor( https://shell.cloud.google.com/ ) (Web) - Google Colab(https://colab.research.google.com/) (Web) - Microsoft Visual Studio https://code.visualstudio.com/ (PC) - Microsoft Visual Studio + Anaconda ?
課程諮詢管道	For any inquiry, please use the following contact information: Emails: cmliu@ntut.edu.tw( school); 11107@cc.ntut.edu.tw (Microsoft Teams) Line ID: mobile.prof FB: facebook.com/howard.liu.5 Phone: 4251 (in school)
課程對應SDGs指標
備註	In case of the need for distance learning, the on-line teaching will be given during the official class hours using Microsoft Teams.