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Paper CodeBA 404Paper TitleDATAMINNINGLTPCredit
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2016
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Course:MBASemester1234√578910
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COURSE OUTCOMESStudents completing the course will be able to:
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1. They learn what are various tools and technique used for data analytics
2. Student can learn preprocessing os data, knowledge representation of data and visualization techniques
3.Learn various predictive and descriptive data minning techniques namely Accociation rule , Bayesian classification, decision trees, Statistical Bayesian networks and use of WEKA software
4. Students learns clustering, k means partitioning , ,Hierarchical methods: distancebased agglomerative and divisible clustering and use of WEKA software

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PROGRAMME OUTCOMES ADDRESSED IN THIS COURSEPO1. Analyze the Political, Economic, Social, Technological, Legal and Environmental context of business.
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PO2. Appreciate individual ethical behaviour and discharge community responsibilities in organization and society.
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PO3. Create and deliver value to the customers by identifying their needs and wants.
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PO4 - Apply knowledge in new and unfamiliar circumstances through a conceptual Understanding of relevant disciplines.
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PO5 -Adapt and find innovative methods for problem solving, to cope with unforeseen events and to manage unpredictable environments.
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PO6 - Manage contemporary societal and global issues resulting from diversity
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PO7 - Demonstrate Leadership and Team work capabilities.
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PO1PO2PO3PO4PO5PO6PO7Remembering
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CO12Understanding
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CO22222Applying
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CO34434Analyzing
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CO4444422Evaluating
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Average323.33.53.322
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