Erasmus ECTS Information Package

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Erasmus ECTS Information Package Faculty of EEEA 3098 Computer Vision ECTS credits: 4 Weekly classes: 3lec+0sem+0labs+3ps Assessment: continuous assessment Type of exam: written Department involved: Department of Computing Faculty of Electrical Engineering, Electronics and Automation Lecturers: Assoc. Prof. Mirolyub Mladenov, MEng, PhD, Dept. of Automatics and Mechatronics, tel.: 888 747, E-mail: mladenov@uni-ruse.bg Principal Assistant Julia Zlateva, MEng, Dept of Computing, tel.: 888 681, E-mail: jzlateva@ecs.uni-ruse.bg Abstract: The objective of the Computer Vision course is to familiarise the students with the computer vision systems structure and the main stages and applications of computer vision. The fields covered are image formation and image models, image filtering, image segmentation, image representation, image description and object recognition. Course content: Digital image formation and models. Intensity transformations and histogram processing, spatial filtering. Morphological image processing. Image segmentation: edge and line detection, thresholding, region-based segmentation. Image representation and description: boundary descriptors, regional descriptors. Fundamentals of image object recognition. Examples of computer vision applications. Teaching and assessment: The lectures familiarise the students with the theoretic aspects of computer vision. The practical sessions give the opportunity to apply the theoretical knowledge by creating or using software products During the semester continuous assessment is carried out. 3099 Real-time Systems ECTS credits: 4 Weekly classes: 3lec+0sem+0labs+3ps Assessment: exam Type of exam: written and oral Department involved: Department of Computing Faculty of Electrical Engineering, Electronics and Automation Lecturers: Principal Assistant Milen Iliev Loukantchevsky, MEng, PhD, Dept. of Computing, tel.: 888 674 E-mail: mil@ieee.org Principal Assistant Nikolay Genkov Kostadinov, MEng, Dept. of Computing, tel.: 888 674 E-mail: NKostadinov@ecs.uni-ruse.bg Abstract: The course objective is to provide students with a theoretical background and practical knowledge of real-time systems (RTS). The main real-time programming languages are studied and lectures focus on the requirements, coming from the particularities of the operation mode. The assimilation of RTS is based on studying their organization, mechanisms to achieve successful task completion in a given deadline, as well as the methodology of developing application systems, working in a control loop. Course content: Real-time programming languages. Decomposition of RTS. Hierarchical levels. Task management. Dispatching methods. Real-time planning algorithms. Tasks interaction mechanisms. Mechanisms for interaction with environment. Input-output drivers. System generation. Testing and debugging RTS. Methods for raising RTS reliability. Teaching and assessment: The lectures precede the practice sessions and for each of the main lecture topics problem questions are asked aiming to achieve active student participation. At the workshops modern industrial RTS are used, which enable modifications in the source code that allow exploring alternative mechanisms. 175
Erasmus ECTS Information Package Faculty of EEEA 3100 Parallel Computer Systems ЕCTS credits: 4 Weekly classes: 3lec+0sem+0labs+3ps Assessment: exam Type of exam: written Department involved: Department of Computing Faculty of Electrical Engineering, Electronics and Automation Lecturers: Principal Assistant Milen Iliev Loukantchevsky, MEng, PhD, Dept. of Computing, tel.: 888 674, E-mail: mil@ieee.org Abstract: Architectural aspects of parallel computer systems as separate class of computer architectures are addressed. The requirements of parallel computer structures are formulated at the very beginning. The classification of such systems is given. Canonical structures and topologies are defined as well. The communicating sequential processes CSP of C.A.R. Hoare is used as base parallel computing model. Two main practical implementations of the CSP model are given – the regular computing structure and mass parallel transputer system. Special attention to the organization of communication subsystem and inter-node communication primitives is given. Course content: General terms. Classification of parallel computer systems. Canonical structure of parallel computer system. Examples of MIMD systems. Regular computing structure. Transputers. Historical perspective. Teaching and assessment: The lectures introduce main theoretical topics. Each group of lectures ends with conclusion of material and formulation of problems. At the practice sessions simulations and real systems are used putting lectures to practice. Each session 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. 3101 Information Systems ECTS credits: 5 Weekly classes: 3lec+0sem+0labs+3ps Assessment: exam Type of exam: written and oral Department involved: Department of Computing Faculty of Electrical Engineering, Electronics and Automation Lecturers: Assoc. Prof. Milko Todorov Marinov, MEng, PhD, Dept. of Computing, tel.: 888 356, E-mail: mmarinov@ecs.uni-ruse.bg Abstract: The course objective is to familirise students with the main stages in the design and development of information systems (IS) as well as with the practical aspects of applying the OOP approach to the information systems development. Course prerequisites include: Programming Languages, Software Engineering, Object-oriented programming, Databases; and Programming Environments. Course content: Main problems of the IS. Life cycle of IS development using a structural approach. Structural analysis and design. Building data-flow diagrams. Organization and methods for designing codes and classifiers. Object-oriented (OO) analysis and design of IS. OO design of input and output documents. Design and organization of IS user interface. IS management. Methods for software protection. IS documenting. Geographic information systems. Teaching and assessment: The lecture topics give the main theoretic aspects of the considered problems. The practice sessions are conducted in a computer lab. The students have to independently solve, code and debug entirely or partially defined elements with the aid of a corresponding programming environment. Students’ work is evaluated at each session. 176
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Erasmus ECTS Information Package

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