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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 review the principles and practices of linear algebra, calculus, scientific computing, probability and statistics. The course is intended as a quick refreshment for incoming Master students in Computational Science.

 

REFERENCES

  • Statistical Inference, Casella and Berger, Duxbury, 2th edition.
    Available at https://fsalamri.files.wordpress.com/2015/02/casella_berger_statistical_inference1.pdf.

People

 

Limongelli V.

Course director

Pivkin I.

Course director

Wit E. C.

Course director

Additional information

Semester
Fall
Academic year
2019-2020
ECTS
3
Language
English
Education
Master of Science in Computational Science, Core course, Lecture, 1st year

PhD programme of the Faculty of Informatics, Elective course, Lecture, 2nd year (2 ECTS)

PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st year (2 ECTS)