#
FI:MB204 Discrete mathematics B - Course Information

## MB204 Discrete mathematics B

**Faculty of Informatics**

Spring 2020

**Extent and Intensity**- 4/2/0. 6 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
**Teacher(s)**- Mgr. Michal Bulant, Ph.D. (lecturer)

Mgr. Radka Penčevová (seminar tutor)

Mgr. Pavel Francírek, Ph.D. (assistant)

prof. RNDr. Jan Slovák, DrSc. (assistant) **Guaranteed by**- prof. RNDr. Jan Slovák, DrSc.

Faculty of Informatics

Supplier department: Faculty of Science **Timetable**- Mon 17. 2. to Fri 15. 5. Wed 16:00–17:50 A320, Fri 10:00–11:50 B204
- Timetable of Seminar Groups:

*M. Bulant*

MB204/02: Mon 17. 2. to Fri 15. 5. Thu 14:00–15:50 B411,*R. Penčevová* **Prerequisites**- !
**MB104**Discrete mathematics && ! NOW (**MB104**Discrete mathematics )

High school mathematics. Elementary knowledge of algebraic and combinatorial tasks (in the extent of MB101 or MB102). **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**- Algorithms of computational models (programme FI, N-TEI)
- Image processing and analysis (programme FI, N-VIZ)
- Applied Informatics (programme FI, B-AP)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- Bioinformatics (programme FI, B-AP)
- Computer Games Development (programme FI, N-VIZ_A)
- Computer Graphics and Visualisation (programme FI, N-VIZ_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Economics (programme ESF, M-EKT)
- Formal verification and program analysis (programme FI, N-TEI)
- Graphic design (programme FI, N-VIZ)
- Graphic Design (programme FI, N-VIZ_A)
- Hardware Systems (programme FI, N-PSKB_A)
- Hardware systems (programme FI, N-PSKB)
- Image Processing and Analysis (programme FI, N-VIZ_A)
- Information security (programme FI, N-PSKB)
- Informatics with another discipline (programme FI, B-EB)
- Informatics with another discipline (programme FI, B-FY)
- Informatics with another discipline (programme FI, B-IO)
- Informatics with another discipline (programme FI, B-MA)
- Informatics with another discipline (programme FI, B-TV)
- Informatics (programme FI, B-INF) (2)
- Public Administration Informatics (programme FI, B-AP)
- Informatics in education (programme FI, B-IVV) (2)
- Information Security (programme FI, N-PSKB_A)
- Networks and Communication (programme FI, N-PSKB_A)
- Computer graphics and visualisation (programme FI, N-VIZ)
- Computer Graphics and Image Processing (programme FI, B-IN)
- Computer Networks and Communication (programme FI, B-IN)
- Networks and communication (programme FI, N-PSKB)
- Computer Systems and Data Processing (programme FI, B-IN)
- Principles of programming languages (programme FI, N-TEI)
- Programming and development (programme FI, B-PVA)
- Programmable Technical Structures (programme FI, B-IN)
- Embedded Systems (programme FI, N-IN)
- Cybersecurity management (programme FI, N-RSSS)
- Services development management (programme FI, N-RSSS)
- Software systems development management (programme FI, N-RSSS)
- Services Development Management (programme FI, N-RSSS_A)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Software Systems Development Management (programme FI, N-RSSS_A)
- Software Systems (programme FI, N-PSKB_A)
- Software systems (programme FI, N-PSKB)
- Machine learning and artificial intelligence (programme FI, N-UIZD)
- Teacher of Informatics and IT administrator (programme FI, N-UCI)
- Informatics for secondary school teachers (programme FI, N-UCI) (2)
- Digital Game Development (programme FI, N-VIZ)
- Big data (programme FI, N-UIZD)
- Natural language processing (programme FI, N-UIZD)

**Course objectives**- At the end of this course, students should be able to:
understand and use methods of number theory to solve moderately difficult tasks;
understand how results of number theory are applied in cryptography:
understand basic computational context;

understand algebraic notions and explain general implications and context;

model and solve combinatorial problems and use generating functions during their solutions. **Syllabus**- The fourth part of the block of four courses in Mathematics in its extended version. In the entire course, the fundamentals of general algebra, linear algebra and mathematical analysis, including their applications in probability, statistics are presented. This semester introduces elemetns of number theory, algebra and some combinatorial methods, including numerical and applied aspects.
- 1. Number theory (4 weeks) – divisiblity (gcd, extended Euclid algorithm, Bezout); numerics of big numbers (gcd, modular exponential); prime numbers (properties, basic theorems of arithmetics, factorization, prime number testing (Rabin-Miller, Mersenneho prime numbers); congruences (basic properties, small Fermat theorem; Euler theorem; linear congruences; binomial congruences a primitiv roots; discrete logarithm; prime numbers - testing up to AKS, divisors, eliptic curves (introduction); Legendre symbol and the quadratic reciprocity law.
- 2. Number theory applications (1 week) – short introduction to asymetric cryptography (RSA, DH, ElGamal, DSA, ECC); basic coding theory (linear and polynomial codes); aplication of fast Fourier transform for quick computations (e.g. Schönhage-Strassen)
- 3. Computer algebra introduction (3 týdny) – groups, permutations, symetries, modular groups, homomorfisms and factorization, group actions (Burnside lemma); rings and fields (polynomials and their roots, divisibility in integers and in polynomial rings, ideals; finite fields and their basic properties (including applications in computer science; polynomials of more variables (Gröbner basis).
- 4. Combinatorics (4 weeks) – reminder of basics of combinatorics; generalized binomial theorem; combinatorial identities; Catalan numbers; formal power series; (ordinary) generating functions; exponential generating functions; probabilistic generating functions; solving combinatorial problems with the help of generating functions; solving basic reccurences (Fibonacci); complexity of reccurent algorithm; generating functions in computer science (graph applications, complexity, hashing analysis)

**Literature**- J. Slovák, M. Panák a kolektiv, Matematika drsně a svižně, učebnice v přípravě

*recommended literature*- RILEY, K.F., M.P. HOBSON and S.J. BENCE.
*Mathematical Methods for Physics and Engineering*. second edition. Cambridge: Cambridge University Press, 2004. 1232 pp. ISBN 0 521 89067 5. info

*not specified***Bookmarks**- https://is.muni.cz/ln/tag/FI:MB204!
**Teaching methods**- Four hours of lectures combining theory with problem solving. Seminar groups devoted to solving problems.
**Assessment methods**- During the semester, two obligatory mid-term exams are evaluated (each for max 10 points). In the seminar groups there are tests during the semester being written. The seminars are evaluated in total by max 5 points. The final written test for max 20 points is followed by the oral examination. For successful examination (the grade at least E) the student needs to obtain 20 points or more and to succcessfully pass the oral exam.
**Language of instruction**- Czech
**Further Comments**- Study Materials

The course is taught annually. **Listed among pre-requisites of other courses**

- Enrolment Statistics (recent)

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