- Modeling and Simulation
- High Performance Computing
- Algorithms
- Numerical analysis
- Computing Theory
- Discrete Structures
- Scientific Visualization
- Internet of things (loT)
Scientific Computing is the science of computer problem solving, and from this point of view, it is undoubtedly the most widespread scientific area that establishes precise, efficient and realistic algorithms, methods and models that model our world, store its data, and establish and process their sets.
These data can be geospatial and scientific, and their applications touch each citizen in all their activities: from natural and man-made disaster prevention, monitoring and warning systems coupled with physical, chemical or biological gauges and sensors. Topics covered include self-driving cars, drones with visual auto-return, and smart homes that protect themselves from dangerous chemical intruders and flooding.
These elements are unified through web platforms that allow communication and taking data from common things (loT) such as refrigerators, plants, etc. Scientific computing provides tools that allow molecular elements to be modeled, which allows solving problems such as protein folding, which in turn leads to the production of drugs and the possible control of viral epidemics such as COVID-19 and other diseases.