SSBTR organizes Workshop cum Short-term Course Commences from Jan 2023

 

Workshop cum Short-term Course on -

Quantitative and Computational Methods for Systems Biology

Commences from Jan 2023

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, Health Care Industry and Data Business.  

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 of Registration Fees

 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