Big Data Analytics summer program sees record growth
The fourth year of the MU College of Engineering’s Big Data Analytics Summer Experience was its biggest yet. More than 70 eager students of various levels of computer science background attended.
“Four years ago, Big Data was at the leading edge of technology development, and the participants were mostly individuals,” Electrical Engineering and Computer Science Professor Yi Shang, who organizes the annual event, said. “Now we have students from five universities. One in Hong Kong and four Chinese universities.”
Shang said the biggest challenge this year was finding ways to make the experience enriching for attendees with a wide array of experiences with Big Data Analytics, from beginners to much more seasoned practitioners.
“Some are advanced, some are beginning, and we’re trying to offer our program so that everyone can learn something new,” he said.
Topics for this year’s program included:
- Introduction to Big Data, Big Data technologies and data science
- Hadoop, an open-source software framework supporting data-intensive distributed applications
- MapReduce, a programming model for big data processing
- Apache Spark, a fast and general engine for large-scale data processing
- Mining Big Data with Spark MLlib, scalable machine learning and data mining libraries
- Exploratory data analysis, recommender systems, clustering and summarization
- Applications of machine learning and deep learning
“We learned some advanced programming tools and machine learning algorithms, and also we did projects together and gave a presentation,” one participant said.
One of the groups, City University of Hong Kong had such a high-quality experience in the past that they sent 16 attendees, including a professor, to report back on the program and share what makes it so successful. A previous year’s group even made a video about the experience, which can be seen here.
For more information about the program, visit the Big Data Analytics Summer Experience website.
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