|Student Contribution Band:||Band 2|
|Administered by:||College of Science and Engineering|
This subject will provide students with cutting-edge tools and techniques for high-performance and large-scale computing, with focus on computer models and software designed to handle Big Data sets in a distributed and/or parallel fashion. Particular focus will be given to distributed and parallel computing using Map-Reduce/Hadoop and similar models for processing Big Data sets.
|Prerequisites:||24CP OF POSTGRADUATE SUBJECTS|
|JCU Online, External, Study Period 83|
|Census Date 16-May-2019|
|Coordinator:||Professor Ronald White|
|Lecturers:||Dr Neil Fraser, Mr Mostafa Shaikh.|
The student workload for this 3 credit point subject is approximately 130 hours.
|Method of Delivery:||Online - JCU|
|Assessment:||quizzes or tests (20%); assignments (60%); computational laboratories/log book (20%).|
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.