1. General information about the module
-
Module code: PHY10636
-
Vietnamese module designation: KHAI THÁC DỮ LIỆU LỚN
-
English module designation: Big Data
-
Credit points: 3
-
Workload:
-
Contact hours: lecture: 30, practice: 30
-
Private study: 90
-
-
Type of module: Specialization
-
Required and recommended prerequisites for joining the module: None
2. Module objectives/intended learning outcomes
The Big Data course provides students with fundamental knowledge of processing and analyzing big data, including key concepts and characteristics such as volume, velocity, variety, and veracity. Students will be introduced to essential technologies like Hadoop, Spark, and other distributed data processing systems. Additionally, the course covers analytical methods such as data mining, machine learning, and real-time data processing. Finally, it emphasizes practical applications in various fields, including finance, healthcare, business, and social networks, as well as the use of cloud platforms for big data processing and storage. This course aims to equip students with the skills needed to analyze and exploit big data effectively.