Workshops
1. Optimization using Nature Inspired Algorithm using Python [for PhD, MTech, BTech  One/Two Days]

Introduction to Optimization.

Introduction to Nature Inspired Algorithm.

Type of Optimization Problems.

Type of Nature Inspired Algorithms.

Understanding local and global minima/maxima.

Deal with premature convergence.

Introduction to Genetic Algorithm.

Problem Solving using Genetic Algorithm.

Introduction to Particle Swarm Optimization.

Problem Solving using Particle Swarm Optimization.

Other Algorithms: ACO, ABC, DE.
2. Scientific Writing using LaTeX [for PhD, MTech, BTech  One/Two Days] Most Popular

Introduction and Installation of LaTeX

Resume / CV writing.

Synopsis / Report writing.

Thesis writing.

Article writing using Template (IEEE/Elsevier).

Presentation preparation.

Miscellaneous: Adding Table, Figures, Equations, Mathematical Expressions and Reference Management.
3. Machine Learning and Data Mining Using R [for PhD, MTech, BTech  One/Two Days]

Introduction to Machine Learning & Data Mining.

Basics of R.

R and Rattle Installation.

Working with Rattle.

Research topics in Machine Learning & Data Mining.

Useful resources for R and Machine Learning.

Working with Classification Problem.

Working with Regression Problem.

Working with Clustering Problem.

Paper writing using Machine Learning