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DTSTART:19700308T020000
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DTSTAMP:20181221T160726Z
LOCATION:D168
DTSTART;TZID=America/Chicago:20181111T143400
DTEND;TZID=America/Chicago:20181111T145100
UID:submissions.supercomputing.org_SC18_sess165_ws_eduhpcp113@linklings.co
 m
SUMMARY:A One Year Retrospective on a MOOC in Parallel, Concurrent, and Di
 stributed Programming in Java
DESCRIPTION:Workshop\nDiversity, Education, Workshop Reg Pass\n\nA One Yea
 r Retrospective on a MOOC in Parallel, Concurrent, and Distributed Program
 ming in Java\n\nSarkar, Grossman, Budimlic, Imam\n\nMuch progress has been
  made on integrating parallel programming into the core Computer Science c
 urriculum of top-tier universities in the United States. For example, "COM
 P 322: Introduction to Parallel Programming'' at Rice University is a requ
 ired course for all undergraduate students pursuing a bachelors degree. It
  teaches a wide range of parallel programming paradigms, from task-paralle
 l to SPMD to actor-based programming.\n\nHowever, courses like COMP 322 do
  little to support members of the Computer Science community that need to 
 develop these skills but who are not currently enrolled in a four-year pro
 gram with parallel programming in the curriculum. This group includes (1) 
 working professionals, (2) students at USA universities without parallel p
 rogramming courses, or (3) students in countries other than the USA withou
 t access to a parallel programming course.\n\nTo serve these groups, Rice 
 University launched the "Parallel, Concurrent, and Distributed Programming
  in Java'' Coursera specialization on July 31, 2017.  In 2017, the authors
  of that specialization also wrote an experiences paper about launching th
 e specialization.\n\nIn this paper, the sequel to our previous publication
 , we look back at the first year of the Coursera specialization. In partic
 ular, we ask the following questions: (1) how did our assumptions about th
 e student body for this course hold up?, (2) how has the course changed si
 nce launch?, and (3) what can we learn about how students are progressing 
 through the specialization from Coursera's built-in analytics?
URL:https://sc18.supercomputing.org/presentation/?id=ws_eduhpcp113&sess=se
 ss165
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