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# Coursera Course: Scientific Computing

Tweet### Ask Any Homework Question, below

## Coursera Course: Scientific Computing

### Course: Scientific Computing Classroom Session by Tutorteddy.com:

### February 4, 2019 4pm to 5pm

## University of Washington

### Description:

Even though the course from www.coursera.com provides the necessary guidance needed by the students, they will need some extra assistance outside the given course guidelines. In order to understand the lessons better a student will need some actual class sessions. These classroom sessions are provided by tutorteddy.com based on the courses of Coursera. Students can interact with professional instructors can get their queries answered and learn faster.

This course leads you to investigate the flexible and strongly project oriented thorough computational analysis and helping in communicating the information through creation of visual representations of scientific data.

The flexible and strongly project oriented analysis forms the basis of this course. With the help of this technique students can resolve many complicated problems in a number of fields that includes engineering sciences, physical sciences, social sciences, medical science, biological science, finance and economics. Through this communication of information can be improved through the creation of visual representations of scientific data.

The course comprises of the techniques related to numerical solution that emphasizes on ordinary and partial differential equations. Special importance is given to the numerical schemes where these schemes are applied to the practical problems in the field of physical and engineering sciences. Problems are solved by applying advanced MATLAB toolboxes and routines. Students can practice and review graphical techniques for presentation of information through creation of visual representations of scientific data.

### Recommended Background:

A good knowledge and a strong background in the field of linear algebra are required to be successful in this course. Also one needs to be familiar with the basic programming structure and methodologies related to ordinary differential equations. Hence students having this background are capable of developing codes that is required to do homework in this course.

### Readings Suggested:

Data-driven modeling scientific computation by Kutz, N. (2013) , New York, NY: Oxford University Press.

To solve the ordinary and partial differential equations, the practical numerical solution techniques of data -driven modeling and scientific computation is required. Also, this is required for the algorithms for the purpose of computation and analysis. Numerical schemes is implemented to the practical problems in the field of physical science, biological science and engineering.

The book introduces us to advanced text and full integration of its high level programming functions MATLAB is also provided that aids both the undergraduate and graduate students in applying data skills to scientific computations.