Big Data Processing: A Graduate Course for Engineering Students

摘要

In the era of big data, professional graduates mastering big data technology are in urgent demand for both academia and industry. Nowadays, it is timely to set up a new course about big data processing for engineering students. In this paper, we design the course of big data processing for the graduate students with engineering backgrounds. This course provides a general overview of the frontier field of big data processing. The main advantages of this new course include: (1) it is a new big data processing course and introduces the newest technology such as Hadoop and Spark, which is great helpful to engineering students; (2) the course includes theoretical knowledge, as well as practical aspects of big data processing, which makes this course more suitable for engineering graduates than the related big data training courses. The survey results of recent four years illustrate that this course is successful as an emerging course for engineering education.