Course Details

Course Details
Course No. : 2010042360
Course Name : Big Data
Prerequisite : 2010042210
Credit  : 3
Theory credit : 3
Practical Credit : 0
Course Discription : This course is an introduction to the concepts of "Big Data" and "data analysis". It introduces one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible. At the end of this course, students are expected to first, describe the Big Data landscape including examples of real-world big data problems including the three key sources of Big Data: people, organizations, and sensors. Second, explain the V’s of Big Data (volume, velocity, variety, veracity, and value) and why each impacts data collection, monitoring, storage, analysis, and reporting. Third, to have some practical experience with some commonly used tools and techniques for (big) data processing. Forth, know the basics of distributed file systems, databases, and computing. Fifth, to have gained practical data processing skills with the MapReduce framework / Apache Hadoop, Apache Spark, H2O Framework, and TensorFlow.
Syllabus : Download
The Course offering during the First Semester-2025/2026
Section NOTheory SectionTeacherTime & Location
10 DR MAJDI AHMAD MOSA MAABREH 09,30 - 10,30 ح ث خ / المادة تدرس بشكل مدمج في مبنى تكنولوجيا المعلومات تك 101 / على منصة(مايكروسوفت teams)
20 DR MAJDI AHMAD MOSA MAABREH 10,30 - 11,30 ح ث خ / المادة تدرس بشكل مدمج في مبنى تكنولوجيا المعلومات تك202 / على منصة(مايكروسوفت teams)