UROP Project Listing System
 
Project Title:
A Big Data Landslide Early Warning System with Apache Spark and Scala
Supervisor:WANG Yu-Hsing
Co-Supervisor:-
Quota:2
Project Description:Never has a time been so fascinating as today for geotechnical engineering: miniaturized sensors, ubiquitous mobile computing and big data analytics. This project merges all three forefront technologies to create an economical, real-time, long-term and highly scalable field monitoring system. A total of 14 billion data points are generated every day in our system. Students in this project will have a hands-on experience to the exciting world of distributed computing with Apache Spark and Scala Programming Languages.
Course type:UROP1000 UROP1100 UROP2100 UROP3100 UROP4100 
Applicant's Roles:(1) Help build the database (2) Help establish a more efficient and accurate landslide early warning system 
Applicant's Learning Objectives:(1) Students will know how to build the scalable database (2) Students will know distributed computing with Apache Spark and Scala Programming Languages.  
Complexity of the project:Challenging 
 



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