Choice Based Curriculum Design
Krishnendu Bhattacharjee, Aarigin Hazra, Tamasree Biswas, Mousumi Saha "Choice Based Curriculum Design". International Journal of Computer Trends and Technology (IJCTT) V53(1):23-31, November 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Data Mining is process of collection of important or relevant data from a pool of data. It is the computational process of discovering patterns in large data sets. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process. Data mining is an important process in our daily life huge amount of data needs to be mined for collecting information. In this paper, we are mainly focusing on the real-life application of data mining. There is a need to allow flexibility in education system, so that students depending upon their interests and aims can choose interdisciplinary, intra-disciplinary and skill-based courses. This can only be possible when choice based credit system (CBCS) is implemented.
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Choice Based Credit System (CBCS), Choice Based Curriculum Design (CBCD), compulsory subjects, generic elective subjects, calculated weights on subjects.