Vol. 2, Issue 4 (2016)
Big data analytics in engineering and science curriculum restructuring using singular value decomposition (SVD)
Author(s): Ozor Godwin O, Nwobodo Lois O, Oleka Chioma V
Abstract: With the availability of huge data in the internet and other web supported devices. It was reported by other researchers that lesser percentage of the data were being used. Engineering and Science curriculum need extensive review and restructuring to improve employability of the graduates and also, to meet the needs of the industry. In this paper, critical areas like: communication skills; problem solving skills; entrepreneur skills; environmental awareness; lifelong learning; information management; teamwork; ethics and moral were considered for course(s) to be taught in the faculty of engineering and science. Singular value decomposition was applied to align the component of effective real-world training pattern to bridge the gap between academic and industry. Matlab was used to simulate the model.