Introduction to Computational Science
People
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.
Education
- Master of Science in Computational Science, Core course, Lecture, 1st year
- PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st year (2.0 ECTS)
- PhD programme of the Faculty of Informatics, Elective course, Lecture, 2nd year (2.0 ECTS)