課程名稱 |
資料科學概論 Introduction to Data Science |
開課學期 |
111-1 |
授課對象 |
生物資源暨農學院 生物機電工程學研究所 |
授課教師 |
郭彥甫 |
課號 |
BME5939 |
課程識別碼 |
631 U1370 |
班次 |
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學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期三2,3,4(9:10~12:10) |
上課地點 |
生機201 |
備註 |
110學年後入學專業選修(人工智慧) 總人數上限:20人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
This course covers the practices in data science from a variety of perspectives. Data science is a multidisciplinary field that studies the phenomena in data. The field unifies mathematics, statistics, computer science, information science, and domain knowledge. Topics covered in this course include: advanced python programming, data analysis, data visualization, image processing, machine learning, and deep learning. Programming assignments will be given. Students will also work on a final project. |
課程目標 |
This course is designed to give a thorough grounding in the methodologies, technologies, mathematics and algorithms currently needed by people who do research in data science. |
課程要求 |
• Homework assignments (written and programming): 60%
• Final project: 40% (presentation and report)
• No makeup exams shall be made except for those who have valid reasons of absences, and can present official documents that prove the reasons of absences |
預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
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參考書目 |
1. VanderPlas, J. (2016). Python data science handbook: Essential tools for working with data. " O'Reilly Media, Inc.".
2. Downey, A. (2008). How to think like a computer scientist: learning with python. Green Tea Press. |
評量方式 (僅供參考) |
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