Brief Course Description
1. Course Title:
Big Data and Design
2. Language of Instruction:
Tiếng Việt
3. Course Code:
MED548192
4. Credits:
3
5. Course Objectives:
- Gain a comprehensive understanding of what constitutes Big Data, including its characteristics, types, and sources.
- Learn about key technologies and tools used in Big Data, such as Hadoop, Spark, and NoSQL databases.
- Acquire the skills needed to process and analyze large datasets, including data cleaning, transformation, and aggregation.
- Apply various data analytics techniques to extract valuable insights from Big Data, including statistical analysis, machine learning, and data visualization.
- Use Big Data techniques to solve real-world problems and make data-driven decisions in various domains such as business, healthcare, and social media.
- Gain an understanding of the ethical considerations and privacy issues related to handling and analyzing Big Data.
6. Brief Description of Course Content:
This course provides an in-depth introduction to Big Data, focusing on its fundamental concepts, technologies, and applications. Students will explore key tools and platforms such as Hadoop and Spark, learn to process and analyze large datasets, and apply various data analytics techniques to derive actionable insights. The course also covers data privacy and ethical considerations, preparing students to handle Big Data responsibly and effectively in real-world scenarios.