A brief summary

Scientific Computing is the collection of tools & techniques required to solve mathematical models of problems in Science and Engineering, using computer . This set of mathematical theories and techniques is called Numerical Analysis (or Numerical Mathematics) and constitutes a major part of scientific computing. These tools are now integral part of engineering analysis and reserach.

What you will learn?

The following things you will learn during the course period

  • Introduction to Scientific Computing
  • Programming tools like: PYTHON, NUMPY, SCIPY, SAGE-MATHEMATICS
  • Numerical computation for engineering
  • Error analysis & floating-point arithmetic
  • Nonlinear equations
  • Numerical solution of systems of algebraic equations
  • Numerical differentiation and integration
  • Numerical solution of ordinary differential equations (ODEs)
  • Numerical solution of PDEs
  • Implementation of numerical methods using PYTHON, NUMPY, SCIPY & SAGE-MATHEMATICS
  • Application area: Applied Mechanics, Thermodynamics, Fluid Flow, Aero-Dynamics, Heat Transfer, Material Modelling, System Dynamics & Vibration
  • Cloud Computing

Venue: Chennai,Udvavisk Technologies Pvt. Ltd, Velachery

Start Date: Oct-Nov '2017

Schedule: Every SUNDAY from (10:00 AM – 5:00 PM)

Duration: 36 HOURS (6 Weeks)

Course Fee: Rs 15,000/- + GST
10% discount for group registration ( 2 or more participants)

Targeted Audience

Students from Mechanical, Aero, Civil, Auto-mobile Engineering, Engineering Design departments; planning to pursue their Graduate Program / Master Studies in foreign universities. Also,Candidates looking for the career in research & product development.


Engineering Mechanics, Thermodynamics, Solid Mechanics( strength of materials) , Fluid Mechanics and Engineering Mathematics


Course will be conducted at Udvavisk Technologies Pvt. Ltd, Velachery, Chennai
All courses will be of 36 hrs each. Timing will be as per the schedule above.
You can enrol by paying the registration amount of Rs. 1000/- through online . You need to pay the balance course fees before 2 weeks of the course commencement.
After enrolling for a course you will receive an unique code in your mail, which you can share with your friends. They should enter the same code while enrolling for the same course.
Yes , you can get the open-source software for your laptop/ desktop for your all future purpose. The software will not have any limitation on capability. You can use them to solve your project problems.
You will be provided a project area by the end of course. Every possible support will be provided for the successful completion of the project. The project support will be for 3 months. The support will be through one to one discussion, email and skype.
Project areas include Automotive, Aerospace, Structural, Piping Fluid Flow, Heat Transfer, HVAC and many other engineering applications
CFD:Salome, OpenFOAM, Paraview, Octave| FEA: Salome, Calculix, Octave| SCIETIFIC COMPUTING: Python, SciPy, NumPY, Sage-Mathematics
Cloud computing is the practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer. You will be getting the exposure to use the cloud facilities to solve your problems.
The participant will be issued two certificates. One participation certificate at the end of workshop and another intern-ship certificate after successful completion of the project.

Case Studies

Simulation of Residual Stress Analysis in Casting

Introduction: Residual stresses are tensions or compressions that exist in the bulk of a material without applying an external load. In a casting process, while cooling, residual stresses are induced ...

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Engineering challenge: Steel hollow sections are commonly used as supporting structures in onshore and offshore engineering. In these structures, the members are jointed together by welding the profil...

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What is open-source?

Open source software is software whose source code is available for modification or enhancement by anyone.Programmers who have access to a computer program’s source code can improve that program by ...

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