課程大綱:
<br>1.	Introduction to Big Data (3weeks)
<br>a.	Definition
<br>b.	Characteristics
<br>c.	Architecture
<br>d.	Technologies (Business Intelligence, Cloud Computing, databa<x>ses, Machine 
<br>Learning)
<br>e.	Applications
<br>f.	Evolving Big Data Industries
<br>2.	Big Data Technologies ba<x>sed on Cloud Computing (3 weeks)
<br>a.	Hadoop and MapReduce
<br>b.	Spark
<br>3.	Introduction to Cyber security (4 weeks)
<br>a.	Definition: Web Attacks/ Web Intrusion & Malware Infection
<br>b.	Vulnerabilities and Attacks
<br>c.	Countermeasures (e.g., signature-ba<x>sed detection, behavior-ba<x>sed 
<br>detection)
<br>d.	Notable Attacks & Breaches
<br>e.	Novel Cyber Security Defense – Big Data ba<x>sed “Predictive Security”
<br>4.	Big Data application to Industry 4.0 (1 weeks)
<br>5.	Introduction to GPU (4 weeks)
<br>6.	Big Data promises, challenges & future trends (1 weeks)
<br>7.	Other related topics (1 weeks)
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<br>評量方法：
<br>1.	Assignment: 45 points (three assignment)
<br>2.	Term Project: 45 points (final presentation and final report)
<br>3.	Class participation: 10 points
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