Computational science and engineering (CSE) is a relatively new discipline that 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 (computational engineering) as well as natural phenomena (computational science). CSE has been described as the third mode of discovery (next to theory and experimentation). In many fields, computer simulation is integral and therefore essential to business and research. Computer simulation provides the capability to enter fields that are either inaccessible to traditional experimentation or where carrying out traditional empirical inquiries is prohibitively expensive. CSE should neither be confused with pure computer science, nor with computer engineering, although a wide domain in the former is used in CSE (e.g., certain algorithms, data structures, parallel programming, high performance computing) and some problems in the latter can be modeled and solved with CSE methods (as an application area).
Computational Science and Engineering finds diverse applications, including in:
* Aerospace Engineering and Mechanical Engineering: combustion simulations, structural dynamics, computational fluid dynamics, computational thermodynamics, computational solid mechanics, vehicle crash simulation, biomechanics, trajectory calculation of satellites
* Biology: protein folding simulations, bioinformatics, genomics, computational neuroscience, modeling of biological systems
* Chemistry: calculating the structures and properties of molecules and solids, cheminformatics, molecular mechanics simulations, computational chemical methods in solid state physics
* Civil Engineering: finite element analysis, structures with random loads
* Computer Engineering and Electrical Engineering: VLSI, computational electromagnetics, semiconductor modeling
* Industrial Engineering: discrete event and Monte-Carlo simulations, queueing networks, mathematical optimization
* Material Science: glass manufacturing
* Nuclear Engineering: nuclear blast modeling, fusion simulations
* Petroleum engineering: petroleum reservoir modeling
* Physics: Computational particle physics, automatic calculation of particle interaction or decay, plasma modeling, cosmological simulations* Numerical weather prediction and Computational geophysics
Computational Science and Engineering methods and frameworks include:
* High performance computing and techniques to gain efficiency (through change in computer architecture, parallel algorithms etc.)
* Computer model|Modeling and simulation
* Algorithms for solving discrete and continuous problems
* Analysis and visualization of data
* Mathematical foundations: Numerical and applied linear algebra, initial & boundary value problems, Fourier analysis, optimization
With regard to computing, computer programming, algorithms, and parallel computing play a major role in CSE. The most widely used programming language in the scientific community is FORTRAN. Recently, C++ has increased in popularity. The scientific computing community has been slow in adopting C++ as the lingua franca. Because of its very natural way of expressing mathematical computations, and its built-in visualization capacities, the proprietary language/environment MATLAB is also widely used, especially for rapid application development and model verification. C is also very frequently used.
It is typically offered as a Master of Science|masters or Doctor of Philosophy|doctorate program at several institutions.

Computational science and engineering (CSE) is a relatively new discipline that 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 (computational engineering) as well as natural phenomena (computational science). CSE has been described as the third mode of discovery (next to theory and experimentation). In many fields, computer simulation is integral and therefore essential to business and research. Computer simulation provides the capability to enter fields that are either inaccessible to traditional experimentation or where carrying out traditional empirical inquiries is prohibitively expensive. CSE should neither be confused with pure computer science, nor with computer engineering, although a wide domain in the former is used in CSE (e.g., certain algorithms, data structures, parallel programming, high performance computing)...