yzu - big data science - course information
TRANSCRIPT
Prof. 潘人豪 Pan, Ren-Hao 元智大學•大數據與數位匯流中心
Course Information
OutlineWhat is Data ScienceDefinition of Big DataCase StudyData Science Technology
Course Information
• Analytic Tools• Data Mining
• Case Study• Final Project
• Processing Tools
• Data Storage
• Hadoop Ecosystem
• HDFS
Platform
Data Processi
ng
Data AnalyticProject
Course PrerequisitePrerequisite:
Java Programming Skill / PythonData Structures and AlgorithmDatabase and SQL Basic Statistics and Probability Data Mining
Grade SchemeHomework : 30%
System InstallationCase Study
Class Performance :30%ExamClass Participation
Project : 40%
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)
Case StudyRequirement
Specify subject domain, same as final projectSelect target enterprise or origanization Case Survey
Target Introduction Business Model
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
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