Informational and Computational Science

Informational and Computational Science Bachelor Degree

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Tel : +8615850513534

E-mail : apply@acasc.cn

  • Application Deadline:2017/03/31
  • Tuition:¥13000.00
  • Application Fee:¥800.00
  • Service Fee:¥0.00
School Information

At present, GZU has a full-time enrollment of 44588 undergraduates, 7233 postgraduates, 9415 adult students, and 291 international students. Among the staff of 4198, there are 2530 full-time teachers, including 381 PhD owners, 1083 Master degree owners, 3

Find more information on the university website
How To Apply

Applying through ACASC generally takes a few minutes to complete. It takes 5 steps to complete the application.

1. Click “Apply Now” button at the top of the page.

2. Fill in online application form.

3. Upload required documents.

4. Pay the application fee and the ACASC service fee

5. Click “Submit” button.

Important notice: In order to apply, you need to create an account with ACASC.

Computational science (also scientific computing or scientific computation (SC)) is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems. Computational science fuses three distinct elements:

  • Algorithms (numerical and non-numerical) and modeling and simulation software developed to solve science (e.g., biological, physical, and social), engineering, and humanities problems

  • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components needed to solve computationally demanding problems

  • The computing infrastructure that supports both the science and engineering problem solving and the developmental computer and information science

In practical use, it is typically the application of computer simulation and other forms of computation from numerical analysis and theoretical computer science to solve problems in various scientific disciplines.

The field is different from theory and laboratory experiment which are the traditional forms of science and engineering. The scientific computing approach is to gain understanding, mainly through the analysis of mathematical models implemented on computers.

Scientists and engineers develop computer programs, application software, that model systems being studied and run these programs with various sets of input parameters. In some cases, these models require massive amounts of calculations (usually floating-point) and are often executed on supercomputers or distributed computing platforms.

Numerical analysis is an important underpinning for techniques used in computational science.


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