Python與資料科學應用#
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老師: 蘇家玉 Emily Chia-Yu Su
助教: 李群雅
基本資訊
課程代碼
XB500120
課程名稱
Python與資料科學應用#
學分
2
學期
1142
單位
跨領域學士 (XB)
修課人數
43 人
老師
助教
課程說明
課程簡介
This course introduces basic aspects of programming language and its application in biomedical analysis. First, fundamental programming language techniques in Python are introduced. After that, this course focuses on the practical implementation of programs to analyze various biomedical data. Finally, the use of existing available resources from the Internet is incorporated.
課程大綱
教科書
1. Learning Python, Mark Lutz & David Ascher, 5th Edition, O'Reilly, 2013
2. Python Pocket Reference, Mark Lutz, 5th Edition, O'Reilly, 2014
3. Programming Python, Mark Lutz, 4th Edition, O'Reilly, 2011
4. Python Programming for the Absolute Beginner, Michael Dawson, 3rd Edition, Course Technology, 2010
5. Bioinformatics Programming Using Python, Mitchell L Model, 1st Edition, O'Reilly, 2008
6. Python for Bioinformatics, Jason Kinser, 1st Edition, Jones & Bartlett Publishers, 2008
7. Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, Sebastian Raschka, Vahid Mirjalili, 2nd Edition, Packt Publishing, 2017
成績說明
Homework 40%
Midterm in-class programming exam 25%
Final project 25%
Class performance 10%
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