基本素養 Basic Literacy
□ 領導能力
學生應具備領導其他專長同仁解讀數據的才能
Leadership
Undergraduate students should develop leadership skills required of a person in a leading position
□ 倫理及社會責任
學生需有自我學習的的意願及能力，並積極參與活動以擴大其社交網絡
Ethic & Social Responsibility
Undergraduate students should demonstrate ethical awareness in learning and in social networking
□ 全球化視野
同學需適時的掌握現在國際間情勢的更替，並理解全球化的趨勢
Global Awareness
Undergraduate students should possess a global perspective and an awareness of the effects of globalization
核心能力 Competence
■ 口頭溝通及表達能力
學生應具備基本的口語表達能力，能迅速的將事情完整地表達出來
Oral Communication/ Speaking
Undergraduate students should be able to communicate effectively in speaking.
■ 寫作表達能力
學生應具備基本的寫作表達能力，能迅速的將事情完整地表達出來
Written Communication/Writing
Undergraduate students should be able to communicate effectively in writing.
□ 創造及創新能力
同學需要有能力依據不同型態地問題及資料將所學做有效的及創新的整合以利問題的解決
Creativity and Innovation
Undergraduate students should be able to solve strategic problems with creative and innovative approaches
■ 解決問題能力
同學需要有能力依據不同型態地問題及資料將所學做有效的及創新的整合以利問題的解決
Problem Solving
Undergraduate students should be able to solve strategic problems with creative and innovative approaches
■ 分析及計算能力
同學需要有能力依據不同型態地問題及資料將所學做有效的及創新的整合以利問題的解決
Analytical & Computational Skills
Undergraduate students should be able to solve strategic problems with creative and innovative approaches
■ 價值、技巧及專業度
學生能在其工作崗位上，貢獻其所學在統計分析上之專業知識，以冀望能取得在職場上對其統計專業的認同
Values, Skills & Professionalism
Undergraduate students should acquire the skills and values required of a true professional
□ 專業能力
學生能在其工作崗位上，貢獻其所學在統計分析上之專業知識，以冀望能取得在職場上對其統計專業的認同
Technical Skills
Undergraduate students should acquire the skills and values required of a true professional
□ 管理技巧
學生能在其工作崗位上，貢獻其所學在統計分析上之專業知識，以冀望能取得在職場上對其統計專業的認同
Management Skills
Undergraduate students should acquire the skills and values required of a true professional
課程概述 Course Description
本課程旨在針對統計系大學部學生循序漸進介紹資料科學的導論，教導及訓練大學部同學具備基本的程式設計能力，並系統性地教授資料科學的核心基本技術與原理。本課程為一學年之規劃，上學期（一）以Python程式語言為基礎，傳授程式設計之基礎，訓練學生以系統性、邏輯化之思維來分析問題，並透過Python實作出基本解法，藉此具備程式化運算、資料儲存與處理之能力；下學期（二）基於所學Python，將更著重在資料導向程式設計，其課程重點有三：(1)教會學生運用各種資料分析的重要套件、提高程式設計開發之效率，並介紹互動式與視覺化資料程式設計平台之操作，以及資料庫系統的基本概念；(2)傳授程式設計上最常見的資料結構與演算法，讓學生具備為真實問題設計演算法並分析複雜度的能力；(3)教授資料分析實務，透過實際資料分析之應用實例，讓學生學會並具備使用套件來進行資料分類與預測的能力。課程學習目標 Course Objectives
課程進度 Progress Description
| 進度說明 Progress Description | |
|---|---|
| 1 | Python Programming Review |
| 2 | Python Programming Review |
| 3 | Data Manipulation: numpy, pandas |
| 4 | Data Manipulation: numpy, pandas |
| 5 | Data Visualization: matplotlib |
| 6 | Data Structures and Algorithms |
| 7 | Data Structures and Algorithms |
| 8 | Data Structures and Algorithms |
| 9 | Basic Machine Learning Concepts |
| 10 | Basic Machine Learning Concepts |
| 11 | Supervised Learning: Classification |
| 12 | Supervised Learning: Classification |
| 13 | Supervised Learning: Regression |
| 14 | Unsupervised Learning |
| 15 | Text Mining |
| 16 | Text Mining |
| 17 | Deep Learning |
| 18 | Deep Learning |
以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.
有關課程其他調查 Other Surveys of Courses
1.本課程是否規劃業界教師參與教學或演講? 否Is there any industry specialist invited in this course? How many times? No
2.本課程是否規劃含校外實習(並非參訪)? 否
Are there any internships involved in the course? How many hours? No
3.本課程是否可歸認為學術倫理課程? 否
Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
4.本課程是否屬進入社區實踐課程?
Is this course recognized as a Community engagement and Service learning course? Which community will be engaged?