Course Information of Big Data Science

1. Prof. 潘人豪 Pan, Ren-Hao
元智大學•大數據與數位匯流中心

6. Outline
 What is Data Science
 Definition of Big Data
 Case Study
 Data Science Technology

8. • Analytic Tools
• Data Mining
• Case Study
• Final Project
• Processing
Tools
• Data Storage
• Hadoop
Ecosystem
• HDFS
Platform Data
Processing
Data
Analytic
Project

9. Course Prerequisite
 Prerequisite:
 Java Programming Skill / Python
 Data Structures and Algorithm
 Database and SQL
 Basic Statistics and Probability
 Data Mining

10. Grade Scheme
 Homework : 30%
 System Installation
 Case Study
 Class Performance :30%
 Exam
 Class Participation
 Project : 40%

11. Target Domain
 社群媒體 (Social Media Application)
 醫療健康 (Healthcare, Personalize Medicine)
 商業智慧 (Business Intelligent)
 行動創新 (Mobile Innovation)
 智慧城市 (Smart City)

12. Case Study
 Requirement
 Specify subject domain, same as final project
 Select target enterprise or origanization
 Case Survey
 Target Introduction
 Business Model

13. Project
• Requirement
– Group size : 3 students per project
– Checkpoints
• Idea & Proposal: Target, motivation and goal (due )
• Outline of approach (due)
• Implementation and Demo (due )
• Final Project Report (due)
– Each group will have a short presentation (15-20 minutes)
– Join project exhibition
– Provide a final report, source code and demo video
– The responsibility and work of each student shall be described
precisely
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