yzu - big data science - course information

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Prof. 潘潘潘 Pan, Ren-Hao 潘潘潘潘•潘潘潘潘潘潘潘潘潘潘 Course Information

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Page 1: YZU - Big Data Science - Course Information

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

Course Information

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OutlineWhat is Data ScienceDefinition of Big DataCase StudyData Science Technology

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Course Information

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• Analytic Tools• Data Mining

• Case Study• Final Project

• Processing Tools

• Data Storage

• Hadoop Ecosystem

• HDFS

Platform

Data Processi

ng

Data AnalyticProject

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Course PrerequisitePrerequisite:

Java Programming Skill / PythonData Structures and AlgorithmDatabase and SQL Basic Statistics and Probability Data Mining

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Grade SchemeHomework : 30%

System InstallationCase Study

Class Performance :30%ExamClass Participation

Project : 40%

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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)

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Case StudyRequirement

Specify subject domain, same as final projectSelect target enterprise or origanization Case Survey

Target Introduction Business Model

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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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