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Introduction to Computational Science

Description

Numerical computing is an interconnected combination of computer science and mathematics in which we develop and analyze algorithms for solving important problems in science, engineering, medicine, and business -for example, simulating an earthquake , choosing a stock portfolio, or detecting cancer tumors in medical images. The students will learn principles and practices of basic numerical computation. This is a key aspect of scientific computation. This class will cover several topics, including: numerical solution of linear systems, data fitting, least squares and one dimensional non-linear equations. As much as possible, numerical methods will be presented in the context of real-world applications.

 

PREREQUISITES

  • Calculus, Linear Algebra

RECOMMENDED COURSES

  • Calculus, Linear Algebra

 

REFERENCES

  • U. M. Ascher and C. Greif. A First Course in Numerical Methods
  • P. Deuflhard and A. Hohmann. Numerical Analysis in Modern Scientific Computing
  • J. Stoer and R. Bulirsch. Introduction to Numerical Analysis

People

 

Multerer M.

Course director

Additional information

Semester
Spring
Academic year
2019-2020
ECTS
3
Language
English
Education
Bachelor of Science in Informatics, Core course, Lecture, 2nd year