Erasmus ECTS Information Package

Erasmus ECTS Information Package
Faculty of EEEA
0572 Distributed Systems
ЕCTS credits: 5
Weekly classes: 2lec+0sem+0labs+2ws
Assessment: exam
Type of exam: written
Responsible department:
Dept. of Computing, Faculty of Electrical Engineering, Electronics and Automation
Lectors:
Dr. Milen Loukantchevsky – Dept. of Computing, tel.: +359 (0) 82 888 674,
Email: mil@ieee.org
Summary:
The course main goal is to help students reach more deep understanding of basic principles and practical aspects
of the distributed computer systems.
The basic structural components of the distributed systems are defined along with several fundamental models.
The organization of the communications and interactions between distributed objects as well as control of the
distributed resources and security are investigated.
Syllabus Contents:
Main terms. Properties. Distributed systems structuring. Distributed models. Communications. Communication
protocols between distributed objects. System clocks synchronization. Logical clocks. Naming, identification and
addressing. Atomic actions. Distributed transactions. Distributed file system. Fault-tolerance. Distributed systems
security and protection.
Teaching and Learning Methods:
The lectures introduce main theoretical topics. Each group of lectures ends with conclusion of material and
formulation of problems.
At the workshops simulations and real systems are used putting lectures to practice. Each workshop begins with
formulation and analysis of problems. At the very end the students are asked to summarize in written form their
results.
The information materials needed are given in electronic form to all of the students.
0575 Artificial Intelligence Systems
ECTS credits: 5
Weekly classes: 2lec+0sem+0labs+2ws
Assessment: exam
Type of exam: written
Departments involved:
Department of Computing
Faculty of Electrical Engineering, Electronics and Automation
Lecturers:
Assoc. Prof. Miroluyb Ivanov Mladenov, PhD, Department of Automatics and Mechatronics ,
phone 888 747, E-mail: mladenov@uni-ruse.bg
Assoc. Prof. Svetlana Stefanova, PhD, Department of Computing,
phone 888 356, E-mail: sstefanova@ecs.uni-ruse.bg
Abstract:
The course “Artificial Intelligence Systems” has the objective to acquaint the students with the basic problems,
concepts and methodologies, used in the artificial intelligence systems, as well as areas of their application.
Questions, related to development of expert systems, systems for pattern recognition, as well as the application
of neuron networks and genetic algorithms in the systems with artificial intelligence are studied. The emphasis
is on the different aspects for application of the artificial intelligence systems.
Course content:
Basic characteristics of artificial intelligence systems. Expert systems. Pattern recognition. Neuron networks.
Genetic algorithms.
Teaching and assessment:
The lectures include the basic theoretical problems in the subject area, which are illustrated with examples in
the communication technique. Different problems, connected with topics from the lectures are solved in the
practical exercises. The workshops are conducted in a computer room. The term is validated, if all the topics
from the practical exercises are solved and the lessons are attended regularly. The final mark is formed on the
basis of the written exam.
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