Country: 

California

Affiliations: 

School of Engineering and Computing, National University

Computational Science in Multidisciplinary

While the computer, Internet, and mobile technologies have matured to a point where they have become ubiquitous and have been the driving forces behind the systems and processes of numerous domains such as engineering, sciences, manufacturing, transportation, banking and finance, retail, defense and security, healthcare, public safety, energy, etc., a new area namely Computational Science has been emerging. Computational science is a rapidly growing multidisciplinary field, which draws upon the techniques from Computer Science, Numerical analysis, Mathematics, Simulation, and Data Visualization to solve complex real-world problems in several domains.

It has now been widely recognized that Computational Science forms the “third pillar” of scientific inquiry, in addition to the traditional theory and experimentation. It must be noted that numerous real world problems are far too complex. Experiments in numerous scientific and other domains are highly complex, expensive, and risky. On the other hand, several of the problems are also very complex to be dealt with by analytical methods. Computational Science enables us to understand the problems, develop solutions, and obtain both qualitative and quantitative insights into the complex system behavior, determine the viability of solutions, etc. It enables professionals to solve in a cost– and time–efficient manner, many real-world problems in renewable energy, microbiological basis of diseases, effective drug discovery, economic forecasting, epidemiology, earth sciences, space exploration, weather and climate prediction, global financial markets etc. Computational Science is beginning to play an important role in the way science and engineering is being done, and is expected to play an even more dominating role in the future, impacting numerous areas in the world around us. In this context, there is a dire need for a new breed of professionals who can understand and model the complex real–world problems, and apply the techniques of Computational Science to develop solutions and interpret results. To this end, it is important, even critical, to develop courses and programs in / related to Computational Science in higher education curricula, in order to meet the future demands of

In this context, there is a dire need for a new breed of professionals who can understand and model the complex real–world problems, and apply the techniques of Computational Science to develop solutions and interpret results. To this end, it is important, even critical, to develop courses and programs in / related to Computational Science in higher education curricula, in order to meet the future demands of workforce skilled in understanding the several problems of contemporary society and to develop efficient and effective solutions for the greater good of the society.