PřF:M8190 Number Theoretic Algorithms - Course Information
M8190 Number Theoretic Algorithms
Faculty of Scienceautumn 2021
- Extent and Intensity
- 2/2/0. 6 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Radan Kučera, DSc. (lecturer)
Mgr. Pavel Francírek, Ph.D. (assistant) - Guaranteed by
- prof. RNDr. Radan Kučera, DSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Thu 16:00–17:50 M6,01011
- Timetable of Seminar Groups:
- Prerequisites
- M3150 Algebra II or M6520 Elementary numbe theory
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Algebra and Discrete Mathematics (programme PřF, N-MA)
- Applied Informatics (programme FI, N-AP)
- Mathematics with Informatics (programme PřF, N-MA)
- Course objectives
- The aim of the lecture is to show that results of number theory can help to factorize a given large positive integer into the product of prime numbers. The importance of this task grows up because of applications in coding theory.
- Learning outcomes
- At the end of this course, students should be able to explain basic ideas of explained algorithms.
- Syllabus
- (1) Compositeness tests: Fermat test, Carmichael numbers, Rabin-Miller test.
- (2) Primality tests: the Poclington-Lehmer n-1 test, the elliptic curve test.
- (3) Agarwal-Kayal-Saxena test
- (4) Factoring: Lehmann's method, Pollard's $\rho$ method, Pollard's p-1 method, the continued fraction method, the elliptic curve method, the quadratic sieve method, the number field sieve method.
- Literature
- COHEN, Henri. A Course in Computational Algebraic Number Theory. Springer-Verlag, 1993, 534 pp. Graduate Texts in Mathematics 138. ISBN 3-540-55640-0. info
- Teaching methods
- Lectures: theoretical explanation of necessary mathematical background, applications of the theory to construction of concrete algorithms. Exercises: solving problems with the aim to understand basic concepts and theorems, programming some algorithms.
- Assessment methods
- Examination consists of two parts: a written test and an oral examination. In the written part the students have to show that they are able to use the explained mathematical background (it is necessary to get at least 50% of points), in the oral part to prove the ability to explain the basic ideas of explained algorithms.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught once in two years. - Teacher's information
- http://www.math.muni.cz/~kucera/texty/ATC10.pdf
The lessons are usually in Czech or in English as needed, and the relevant terminology is always given with English equivalents. The target skills of the study include the ability to use the English language passively and actively in their own expertise and also in potential areas of application of mathematics. Assessment in all cases may be in Czech and English, at the student's choice.
- Enrolment Statistics (autumn 2021, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2021/M8190