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Introduction to Computational Science

Description


COURSE OBJECTIVES

At the end of the course, the student will be able to: - use the major concepts and results of probability theory - use the major concepts of calculus and linear algebra - plan and write computer code

 

COURSE DESCRIPTION
This course will review the main toolbox of Computational Science, involving probability theory, calculus and linear algebra and programming.

 

LEARNING METHODS
The course will use lectures, tutorials and practicals.


 

EXAMINATION INFORMATION
The course will be evaluated through a final exam.

 

REFERENCES

  • The material needed for this course will be offered by the course lecturers.

People

 

Limongelli V.

Course director

Pivkin I.

Course director

Wit E. C.

Course director

Schuerch M.

Assistant

Additional information

Semester
Fall
Academic year
2020-2021
ECTS
3
Language
English
Education
Master of Science in Computational Science, Core course, Lecture, 1st year