Monday, 30 August 2021

SSBTR organizes Workshop cum Short-term Course Commences from January 2022, Enroll soon

 

Workshop cum Short-term Course on -

Quantitative and Computational Methods for Systems Biology

Commences from January 2022

Organized by SSBTR

 

Course Highlight/Features

  • Live Lectures
  • Interactions and doubt clearing from the experts
  •   Study Materials
  • Opportunity to expose real life problem
  • Opportunity to gain experience certificate
  • Opportunity to gain industry oriented analytical technique 

Advantages to join in SSBTR Workshop

This Online Workshop provides a unique opportunity to learn the concepts of analytics from the National & International experts, gain certification at their own pace, and gather knowledge & skills required for the forefront academics or to make a successful career in the R & D of Medical Analytics, Pharmaceuticals and Health Care Industry.

Registration Process

Interested participants are requested to send email to bishwajit@ssbtr.net and make cc to web.ssbtr@gmail.com with the following details:

   
  1. Name
  2. Occupation
  3. Organization Name (present/ last attended)
  4. Email Id
  5. WhatsApp No.
  6. Course level & following attachments:
  7. Academic ID card (if you are in academics) or  Latest certificate (if you are pass-out graduates)
  8. Bank transfer copy 

 Registration Fees for each level

Student and pass-out graduate: INR 2,000
Guest Faculty: INR 3,000

Faculty/Industry Professional: INR 4,000
Foreign Participants: INR 5,000
 
Payment Method: Bank Transfer

A/C Name: Society for Systems Biology & Translational Research.

SB A/C No: 402510110007942, IFSC Code: BKID0004025; 
Bank Name
: Bank of India; Branch: Bangur Avenue;

MICR Code
: 700013005


 

Tentative topic that will be covered:

Beginners’ level

# Computational and Open-source platform

# Program syntax in MATLAB, GNU-Octave, Python
# Handling data in GNU-Octave for analysis of statistical measures

# Regression and Correlation analysis, Linear and Non-linear fit

# Statistical Reasoning and Applications (Test for Significance)

# Basics of Numerical Methods, numerical integration, function evaluation, matrix operation

# Analytical Methods

# Visualization of biological macromolecular structures

# Modelling of Dynamical Systems

# Fourier Analysis – Basic

# Introduction to Artificial Intelligence and Machine Learning

# Optimization Techniques I
 

Moderate level

# Prediction of structure of proteins

# Pairwise and multiple sequence comparison
# Program syntax in Python, R

# Refinement of predicted structure using Potential Energy

# Energy minimization

# Molecular Dynamics

# Receptor based drug design

# Monte Carlo simulations

# Advanced topics of Artificial Intelligence and Machine Learning

# Optimization Techniques II

# Biomaterials

Advance level

# Biomechanics
# Finite element analysis

# Fluid mechanics
# Advance modelling of dynamical systems

# Deep learning

# Free energy analysis

# Fourier Analysis Applications

# Image Analysis

# Invited foreign faculties

# Structure Equation Modeling

# Confirmatory factor Analysis

# Projects