The Faculty Development Programme (FDP) on ‘Advances in Data Science for Engineering Applications’ began successfully on February 12. It was organized by the E & ICT Academy in collaboration with Teegala Krishna Reddy Engineering College. The programme is aimed at improving the knowledge and skills of educators, researchers, and professionals by helping them integrate data science principles with engineering concepts. Participants will learn about modern data science techniques and how they can be used to solve complex engineering problems.
The programme was coordinated by Dr. M Suresh Babu. During the valedictory session, Dr. K Venkata Murali Mohan, Principal of the college, spoke about the importance of academic outreach activities. He stressed the need for educators in technical institutes to stay updated with the latest technologies. He also highlighted that teaching and learning go hand in hand, and faculty members must be well-prepared to provide students with advanced knowledge.
One of the distinguished speakers at the event, Prof. RBVS Subramanyam from NIT Warangal, explained how data science is playing a crucial role in various engineering fields. He emphasized that educators must adapt to new advancements in data science. The FDP focused on providing faculty members with the latest skills in data science, particularly in areas like R programming, machine learning, and deep learning. The goal was to connect academic knowledge with practical applications in data science.
The FDP included a series of sessions led by top experts in the field. Some of the key topics covered were:
– Machine Learning, Decision Trees, and Big Data – Prof. RBVS Subramanyam
– Neural Networks – Dr. M Srinivas
– Dimensionality Reduction – Dr. CS Sastry
– Data Lakes and Data Fabric – Prof. P Radha Krishna
– Optimization Methods – Dr. O Srinivasa Reddy
– R Programming – Dr. T Ramakrishnudu
– Ensemble Methods – Dr. K Venkateswara Rao
– Metaheuristic Methods – Shushil Kumar
– Data Science Applications – Dr. Sujeeth
This FDP is a major step in bridging the gap between academia and industry. By equipping faculty members with advanced tools and techniques in data science, the programme aims to encourage innovation and research in engineering applications. Ultimately, it is expected to contribute to the growth and development of the field.
