5-Day National Level Faculty Development Program (FDP) on Data Science Using R Programming

News Date : 06 Aug 2024     News Report

Dates: 6th to 10th August 2024
Organized By: Department of Information Technology, Mahatma Gandhi Institute of Technology (MGIT), Hyderabad

Objective:

The program aimed to equip faculty members with the latest skills in Data Science, emphasizing the use of R programming for data analysis, machine learning, and deep learning. The FDP sought to bridge the gap between academic learning and practical applications in data science.

Program Highlights:

Day 1: Introduction to R Programming
Participants explored the basics of R, including data types, operators, and data manipulation techniques.

Day 2: Data Visualization and Descriptive Statistics
The day focused on using tools like ggplot2 and Plotly for creating impactful visualizations and understanding statistical methods for data analysis.

Day 3: Machine Learning Techniques in R
Faculty learned supervised and unsupervised learning techniques, covering algorithms such as SVM, Random Forest, and PCA, along with model evaluation metrics.

Day 4: Deep Learning with TensorFlow and Keras in R
Participants delved into building neural networks and advanced topics such as CNN for tasks like image classification.

Day 5: Advanced Topics and Assessment
The final day covered advanced techniques like XGBoost, ensemble models, and time series analysis. The program concluded with an online test to evaluate participants’ learning.

Key Resource Person:

Ms. C. Soundaryaveni, Senior Technology Specialist at QuantumNique Solutions, conducted the sessions, sharing her extensive expertise in data science and R programming.

Participation Overview:

The FDP attracted 43 enthusiastic faculty members from various institutions:

• Internal Faculty (MGIT): 26
• External Faculty: 17

This diversity enriched the program with varied academic perspectives.

Feedback and Impact:

Participants lauded the hands-on approach and practical case studies. The sessions on machine learning and deep learning were particularly appreciated for their applicability in teaching and research.

Organizers:

• Convenors:
  • Prof. D. Vijaya Lakshmi (Head, IT)
  • Prof. C.R.K. Reddy (Head, CSE)
  • Prof. M. Rama Bai (Head, ET)
• Co-Convenor:
  • Prof. M. Rudra Kumar (Professor, IT)
• Coordinators:
  • Ms. B. Meenakshi
  • Mr. Bapanapalli Lokesh
  • Ms. Chinnakka Sudha
  • Ms. V. Veena
• Organizing Committee Members:
  • Mr. B. Tulasi Dasu
  • Ms. A. Amulya

Acknowledgment:

MGIT extends heartfelt thanks to the organizers, participants, and resource persons for making this event a grand success.

Stay tuned for more transformative learning opportunities at MGIT

Event Photos: