Search results: 231
- Teacher: Dr. Manvi Khatri [CSE(AI&ML)]
- Teacher: Ms. Anjali Maurya [CSE(AI&ML)]
- Teacher: Ms. Deepinder Kaur [CSE(AI&ML)]
- Teacher: Ms. Bhawna CSE(AI&ML)
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.
- Teacher: Arti Pandey [CSIT]
- Teacher: Mr. Md Firoz Alam [CSIT]
- Teacher: Mr. Deep Kumar [CSIT]
- Teacher: DR. Ajay Kumar [CSIT]
- Teacher: Mr. Deep Kumar [CSIT]
- Teacher: Ms. Shrankhla Saxena [CSIT]
- Teacher: Silki Kharaliya
- Teacher: Dr.Sapna Juneja [CSE- AI]
- Teacher: Sachin Kumar Rai [CSIT]
- Teacher: Sonia Deshmukh [CSIT]
- Teacher: Sachin Kumar Rai [CSIT]
- Teacher: Sonia Deshmukh [CSIT]
- Teacher: Sachin Kumar Rai [CSIT]
- Teacher: Prince Gupta [CSIT]
- Teacher: Sachin Kumar Rai [CSIT]
- Teacher: Ms. Pavi Saraswat [IT]
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1. To understand the interlinking of PLC with IIoT gateways for cloud-based data monitoring and sharing. 2. To develop logical control programs for industrial automation applications using PLC systems. 3. To learn the concepts of industrial data acquisition and integration of PLC data with SQL databases. 4. To understand the fundamentals of electrical motors and their control methods used in industrial systems. 5. To study AC electrical drives and develop practical automation applications integrating concepts from third, fourth, and fifth semester courses. |
- Teacher: MS VAISHALI KIKAN [ECE]