TRAINING

CAD (AutoCAD, Solidworks)     

CAE (Meshing and Analysis, Job Oriented Training, Prototype Modeling, Motion Analysis)

DOE (Design of Experiment)

     Statistical Design Analysis.

     How to conduct and Analyse your experiment.

     Using excel, MiniTab and design expert.

     Understanding variation to experimental design proces

Spread Sheet (Ms Excel)

     Basic Statistics Concepts

     ANOVA

     Normal distribution Curves

     PCM

     Hypothesis Testing Principles

System Modeling and Optimization (using Modern optimization tools)

     Components and System Optimization

     LP, ACT, GA, Water cycle, Bat Algorithms e.t.c.

     Time Series Prediction

     ANN e.t.c

MATLAB Training

•     Intro to MATLAB programming

•     Intermediate MATLAB (Programming)

•     Advance MATLAB – 

.    (Simulinks and model)

o     Computer vision using MATLAB

o     Deep Learning using MATLAB

Electronics circuit design training

•     Intro to electronics circuit design 

•     Digital circuit design

•     Hardware programming 

o     Introduction to low level language programming

o     Advance low level language

o     Introduction to high level language (c/c++)

o     Advance high level language (ATMEL AVR)

Software Programing

•     Python Basics

•     Advance Python programming

•     VB.net (Basic and C#)

Research Tools training

•     Mendeley Desktop

•     EndNote

•     LaTex