Experimental teaching design and practice on big data course

With the rapid development of big data technology and the rapid growth of big data industry market, big data talent demand is also a substantial increase in China. In order to cultivate more talented people satisfying the needs of the community, we have designed the big data course for undergraduates. The big data course stresses not only on many theories but also lots of practice. The project of “big data talent development trend analysis” is designed in the experimental teaching on big data. By doing this project, students can master all the technologies of big data processing lifecycle, including data collection, data preprocessing, data mining and data visualization. We evaluate students who master big data core technology with a multi-evaluation method and design the experiment evaluation system on big data. Through our two years' practice, the results show that all these designs have achieved the good effect and improved the teaching quality.

I. Introduction

With the rapid development of cloud computing and networking, the time of “big data” has come [1]. Mankind moved from the IT (Information Technology) era to the DT (Data Technology) era, and is gradually marching into the the ternary world of the “human - machine - things” integration [2]. In the DT era, big data with the characteristics of 5V s (Volume, Variety, Velocity, Value, Veracity) is turning into the second mother language [3] and has become one of the world's most important strategic resources. With the rapid development of information technology, all walks of life in the world are carrying out the information revolution, and almost every industry is trying to find and use the value of big data [4]. The value of big data is mainly reflected in the effect of driving, that is, to drive related scientific research and industrial development [5].