1. General information about the module
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Module code: PET10119
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Vietnamese module designation: KHAI THÁC DỮ LIỆU LỚN
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English module designation: Big Data
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Credit points: 3
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Workload:
- Contact hours: Lectures, lesson: 30 hours (in class)
- Lab works, project, seminar: 30
- Exercise: 0
- Private study: 90 hours (self-study)
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Type of module: Specialization
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Required and recommended prerequisites for joining the module: Data Structures and Algorithms, Database
2. Module objectives/intended learning outcomes
This course provides an overview of the concepts, characteristics, and challenges of Big Data, focusing on analytical and predictive capabilities to extract greater value from data. It introduces common methods and tools for Big Data processing and management, such as Hadoop, MapReduce, and Spark. Additionally, the course covers advanced topics in Big Data analytics and offers appropriate guidance for students to develop and conduct research projects related to Big Data.