Big data processing: A graduate course for engineering students

• Autores: Jianliang Gao, Jinfang Sheng, Zuping Zhang
• Localización: The International journal of engineering education, ISSN-e 0949-149X, Vol. 34, no. 2, 2018, págs. 497-504
• Idioma: inglés
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• Resumen

  • Big Data Processing: A Graduate Course for EngineeringStudents*JIANLIANG GAO, JINFANG SHENG and ZUPING ZHANGCollege of Information Science and Engineering, Central South University, China. E-mail: gaojianliang@csu.edu.cnIn the era of big data, professional graduates mastering big data technology are in urgent demand for both academia andindustry. Nowadays, it is timely to set up a new course about big data processing for engineering students. In this paper, wedesign the course of big data processing for the graduate students with engineering backgrounds. This course provides ageneral overview of the frontier field of big data processing. The main advantages of this new course include: (1) it is a newbig data processing course and introduces the newest technology such as Hadoop and Spark, which is great helpful toengineering 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 surveyresults of recent four years illustrate that this course is successful as an emerging course for engineering education.