**Informatics in Mathematics Education**

Faculty of Mathematics & Informatics

Mathematics/ Teacher in Mathematics and Computer Sciences, 4 grade

Lecturer: E. Sendova, B.Sendov

Study hours: 2+0+2

**Programming for Artificial Intelligence**

Faculty of Mathematics & Informatics

Mathematics/ Computer Sciences, 4 grade
*Lecturer: I. Derzhanski, I. Marinchev*
*Study hours: 2+2+2*

The course is an introduction to the principal problems addressed,
and tools and techniques used, in artificial intelligence (AI). Topics
include: state-space search, game playing, knowledge representation,
natural language processing, machine earning, inductive logic programming.
A prior exposure to procedural programming is assumed though not strictly
required. The Prolog programming language is taught, and the specificity
of the design and implementation of AI programs is highlighted.

**Management For Non Managers**

Faculty of Mathematics & Informatics

Applied Mathematics, 2 grade

Lecturer: R. Reeves-Ellington, R. Nikolov

Study hours: 3+0+4

**Information and Comunication Technologies**

Faculty of Mathematics & Informatics

Applied Mathematics, 3 grade

Lecturer: R. Nikolov

Study hours: 2+0+2

**Software for applications**

Faculty of Mathematics & Informatics

Applied Mathematics, 4 grade

Lecturer: Antony Popov

Study hours: 1+0+4

The theory related to the project,
by Prof. R. Denchev

The course is designed for students from the Faculty of Mathematics
and Informatics at the University of Sofia specializing in Applied Mathematics,
esp. in the fields of mathematical economy and mathematical computations.
The aim of the course is to train skills in using software packages like
MS Excel, MS Access, MS Powerpoint as necessary tools for simple data processing
and presentation. An emphasis will be set on the MATLAB system and its
toolboxes related to economical and financial computations including statistical
and fuzzy models. The final examination contains both a final project presentation
and some interviewing questions, related to the course content and the
final project.

**Artificial Intelligence**

Faculty of Mathematics & Informatics

Computer Sciences, 4 grade

Lecturer: *I. Derzhanski, S. Boycheva*

Study hours: 3+2+2

The course is a general introduction to the broad field of artificial
intelligence (AI). Its aim is to acquaint the student with the theoretical
foundations and classical problems of the field as well as the most active
current directions of AI research. Topics include: state-space
search, game playing, knowledge representation, probabilistic reasoning,
planning, natural language processing, machine learning. Familiarity
with the Prolog programming language is a prerequisite.

**Fuzzy Sets and Their Applications in Computer Science
and Control**

Faculty of Mathematics & Informatics

Computer Sciences, 3 grade (also available for students in Applied
Mathematics and Mathematics and Computer Science)

Lecturer: *A. Popov*

Study hours: 3+0+1

This is an introductory course in fuzzy sets theory. It also studies some relations with the interval computations and probability, some applications to image analysis, medical diagnosis and control of real processes. The following main topics are considered:

- Basic notions and notations;

- Fuzzy graphs and relations;

- Introduction to fuzzy logic;

- Connections with probability theory;

- Data clustering;

- Fuzzy numbers and arithmetic;

- Interval computations – basic ideas;

- Fuzzy geometry and its applications in image analysis;

- Fuzzy controllers and some of their industrial applications;

The laboratory wokshops will be based on the usage of Matlab Fuzzy Logic
Toolbox. The ESPRIT web site will be used as a reference point
for the current state of the art.

References

1. Kaufmann A., Introduction a la theorie des
sour-ensembles flous, Paris, Masson, 1977.

2. Klir, G., Yuan, B., Fuzzy sets and fuzzy logic. Theory and
applications, Prentice Hall, 1995.

3. Zimmermann H.-J., Fuzzy set theory and its applications,
Kluwer Academic Publishers, Boston, 1993.

4. M. Nactegael, E. Kerre (eds.) Fuzzy techniques in image processing,
Springer, Berlin 2000.

5. H. T. Nguyen, Fuzzy Logic, Springer-Verlag, 1999 (?vailable at the
Institute of Mathematics -BAS)

6. Popov A.T., H.T. Nguyen, L. K. Reznik, "An application of fuzzy
mathematical morphology to interval - valued knowledge representation:
A remark", Reliable Computing, 4 (3), pp. 283 - 290, 1998.

**Introduction to Informatics**

Biology Faculty, 1 grade

Lecturer: V. Todorov, E. Brankova-Vasileva

Study hours: 0+0+2

**Fundamental of Data Bases**

Faculty of Economics and Business Administration, 2 grade

Lecturer: P. Georgiev

Study hours: 2+0+2

**Introduction to Informatics**

Faculty of Economics and Business Administration, 1 grade

Lecturer: R. Nikolov, J. Bachvarova

Study hours: 1+0+3

**Telematics and Business**

Faculty of Economics and Business Administration, 3 grade

Lecturer: D. Hristozov, R. Nikolov, K. Nikolov

Study hours: 1+0+3

**Information Technologies and Audio-Visual Tools in
Education**

Faculty of Mathematics & Informatics

Mathematics and Computer Sciences, 2 grade

Lecturer: P.Michnev

Study hours: 3+0+3

**Office Systems (practicum)**

Faculty of Mathematics & Informatics

Mathematics and Computer Sciences, 2 grade

Lecturer: A. Popov

Study hours: 10+24

**Problem Oriented Languages**

Faculty of Mathematics & Informatics

Mathematics and Computer Sciences, 4 grade

Lecturer: I. Nikolova, I. Ivanov

Study hours: 2+0+4

**Educational Environments**

Faculty of Mathematics & Informatics

Mathematics and Computer Sciences, 4 grade

Lecturer: E. Sendova, B. Sendov

Study hours: 2+0+4

**Introduction to Programming Languages**

Faculty of Mathematics & Informatics

Mathematics and Computer Sciences, 1 grade

Lecturer: B. Sendov, T. Iliev

Study hours: 4+2+2

**Integrated Development Environments**

Faculty of Mathematics & Informatics

Mathematics and Computer Scienses, 2 grade

Lecturer: B. Sendov, T. Iliev

Study hours: 2+0+2

**Tools and Technologies in Education**

Faculty of Mathematics & Informatics

Mathematics and Computer Scienses, 3 grade

Lecturer: I. Ivanov, A. Georgiev

Study hours: 2+0+2