Data Mining Techniques – Predictive Modeling & Pattern Discovery- Using R

Syllabus outline for the MBA course Data Mining Techniques – Predictive Modeling & Pattern Discovery using R (MS617E) offered at KIET Group of Institutions, Delhi-NCR.

It covers data mining technologies, data warehousing & preprocessing, predictive modeling, R programming, and data analytics in R over 30 lecture hours. The course aims to build skills in applying data mining techniques, predictive models, and R programming for business problem-solving.

Key outcomes include applying data warehousing, preprocessing, predictive modeling, and evaluating data analytics in real-world contexts. Evaluation is based on MSE, CA (class assessments), and ESE, totaling 150 marks.


Modeling & Analytics for Supply Chain Management

This course Modeling & Analytics for SCM (MS621E) focuses on applying descriptive, predictive, and prescriptive analytics to real-world supply chain problems. It covers supply chain concepts, descriptive analytics (KPIs, dashboards, ABC/Pareto), predictive modeling and forecasting (ARIMA, regression, ML), prescriptive optimization models, and emerging trends like IoT, AI, and blockchain in supply chains. The course equips students with data-driven decision-making skills for logistics, procurement, inventory, and demand planning.

Evaluation is through MSE (50 marks), CA (25 marks), and ESE (75 marks), totaling 150 marks.