Title :
Teaching HDFS/MapReduce Systems Concepts to Undergraduates
Author :
Linh Bao Ngo ; Duffy, E.B. ; Apon, A.W.
Author_Institution :
Sch. of Comput., Clemson Univ., Clemson, SC, USA
Abstract :
This paper presents the development of a Hadoop MapReduce module that has been taught in a course in distributed computing to upper undergraduate computer science students at Clemson University. The paper describes our teaching experiences and the feedback from the students over several semesters that have helped to shape the course. We provide suggested best practices for lecture materials, the computing platform, and the teaching methods. In addition, the computing platform and teaching methods can be extended to accommodate emerging technologies and modules for related courses.
Keywords :
computer science education; data analysis; distributed processing; educational courses; educational institutions; further education; teaching; Clemson University; HDFS MapReduce system concept; Hadoop MapReduce module; distributed computing course; teaching methods; undergraduate computer science students; Educational institutions; Java; Linux; Materials; Programming; Supercomputers; HDFS; MapReduce; distributed systems; parallel computing education;
Conference_Titel :
Parallel & Distributed Processing Symposium Workshops (IPDPSW), 2014 IEEE International
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-4799-4117-9
DOI :
10.1109/IPDPSW.2014.124