A relatively new discipline, computational engineering  ‘deals with the development and application of computational models and simulations, often coupled with high-performance computing, to solve complex physical problems arising in engineering analysis and design and natural phenomena’.

Computational engineers use their expertise to design the simulations mentioned above – they devise algorithms and solve mathematical models to simulate behaviours and finally analyse the output. Using the results, scientists can construct models that will benefit people in real-world situations. These tools allow our researchers to explore new frontiers in science, specifically in fluid dynamics, bioengineering, nanotechnology and materials modelling.

In huge demand

Being a developing and niche area of expertise, computational engineers are in great demand nowadays. After all, computer simulations today are essential when it comes to business and research. These engineers thus find employment in a wide range of critical domains that include aircraft design, energy infrastructure, weather prediction and even climate research.

Proficiency is the buzzword

Let us enumerate the diverse applications of Computational Science:

  • Biology and Medicine: Scientists use computational simulations to predict complex processes like protein folding and molecular docking. Additionally, simulations are vital in genomics, bioinformatics, modelling of biological systems, computational neurological modelling, etc.
  • Aerospace Engineering and Mechanical Engineering: Intricate experiments that would otherwise cost a lot, such as vehicle crash simulation, combustion simulations, computational thermodynamics, structural dynamics, computational fluid dynamics and biomechanics, are performed through simulations.
  • Chemistry: Computational engineering is the cornerstone in advancing computational chemistry/cheminformatics and molecular mechanics simulations.
  • Finance: In finance, it finds relevance in predicting aspects like derivative pricing and risk management.
  • Nuclear Engineering: Computational engineering is the backbone of nuclear reactor modelling, radiation shielding, and fusion simulations.
  • Environmental Engineering and weather prediction: Computational engineering is used in climate research, geophysics (seismic processing) and modelling natural disasters.
  • Epidemiology: The simulations prove to be invaluable for predicting the spread of diseases.

Career pre-requisites

Critical thinking, Algorithmic thinking, problem solving and creativity are some of the strength areas that a computational engineer must possess. Expertise in the following subjects is also crucial for pursuing a career in this domain:

  • Mathematics: Strong fundamentals of algebra, calculus, differential equations and statistics are a must for engineers working in this domain.
  • Thermodynamics: A concept explored in chemistry and physics, this subject is vital: the student must understand the differences of each state, their conversions, and other dynamics.
  • Engineering software: Knowledge of software will provide a head start in this career.

We stand for excellence

The NAAC-accredited and MAKAUT-affiliated OmDayal Group of Institutions churn out young engineers equipped to face the ever-changing landscape of disruptive technologies such as Computational Engineering. The industry-centric engineering courses offered by us include:

  • Civil Engineering
  • Electrical Engineering
  • Mechanical Engineering
  • Computer Science and Engineering

The niche training and skills required for these engineering jobs in India and abroad have inspired us to continuously upgrade the teaching and learning curriculum with global standards. We empower our students with a competitive edge and required aptitudes to excel in the new-age technology spectrum. Our facilities include flexible timings and partnerships with National Small Industries Corporation (NSIC) to provide on-job training and relevant placement opportunities.

For more information, visit www.omdayal.com.

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