Erasmus ECTS Information Package

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Erasmus ECTS Information Package Faculty of EEEA 0274 Computer Games ECTS credits: 4 Weekly classes: 3lec+0sem+0labs+3ws Assessment: exam Type of exam: written Department involved: Department of Computing Faculty of Electrical Engineering, Electronics and Automation Lecturers: Assoc. Prof. Georgi Nikolov Krastev, MEng, PhD, Dept. of Computing tel.: 888 672, E-mail: gkrastev@ecs.uni-ruse.bg Abstract: The “Computer Games” course aims to introduce the techniques and tools of computer games development to the students of the Computing program. Students get acquainted with the modern information and communication technologies which help developing new generation games. Due attention is paid to the necessary hardware resources. Students study the tools for computer games development, the phases which must be gone through for creating a successful computer game, as well as the requirements, problems and disadvantages of this kind of programming. Course content: Introduction to computer games. Classification. Hardware resources. Computer systems. Games consoles: Nintendo Wii, xBox, PlayStation. Specialized periphery. Script creation. Strategies development. Missions generation. Levels design. Characters. Logical and mathematical bases. Main interrelations. Modelling of characters and background images. Computer models of vehicles: cars, ships, aircrafts and helicopters. Modelling different types of guns and targets destruction. Conflicts generation and solutions. Programming environments for computer games development. Artificial intelligence application in computer games. Developing games for mobile information devices. Network games development. Teaching and assessment: The lectures are 3-classes a week and provide basic knowledge on Computer games (CG). The practice sessions are conducted face-to-face in PC training rooms 3 classes a week. Students are given practice-oriented tasks. The continuous assessment is based on the results from the allotted individual tasks. The final assessment is a written exam conducted during the examination session. In addition to the lecture records, students get a list of recommended literature to help them prepare for the exam. 0275 Design Patterns ECTS credits: 4 Weekly classes: 3lec+0sem+0labs+3ws Control: exam Type of exam: written Department involved: Department of Computing Faculty of Electrical Engineering, Electronics and Automation Lecturers: Assoc. Prof. Georgi Todorov Georgiev, MEng, PhD; Dept. of Computing; tel.: 888 744 E-mail: gtgeorgiev@ecs.uni-ruse.bg Emil Stoyanov, PhD Abstract: The course aims at creating skills for requirements analysis and planning the structure of software solutions. This will make it easier to recruit graduates as software developers in new and ongoing projects. The courseware includes the basic and more complex elements of UML (Unified Modelling Language) and the basic structural patterns for software design, as well as their practical implementation in small projects, which the students will manage and implement. This will directly introduce the students to typical elements, situations and scenarios from the realm of software engineering and project management. Teaching and assessment: Lectures and workshops are carried out in one module, taking 3 to 4 weeks, during which time the students have no other lessons. The computer labs are equipped with IDEs for software development in different programming languages - Microsoft Visual C++, Eclipse, J2SE JDK, Netbeans. The workshops simulate in practice the stages of a real project, from assignment through requirements analysis and design to implementation. Students will work in teams. Part of the work can be done outside the labs (e.g. at home). The final mark comprises a final exam (65%), and marks from the workshops (30%) and the lectures (5%). 255
Erasmus ECTS Information Package Faculty of EEEA 0580 Fuzzy Systems ECTS credits: 4 Weekly classes: 3lec+0sem+0labs+3ws Assessment: exam Type of exam: written Department involved: Department of Computing Faculty of Electrical Engineering, Electronics and Automation Lecturers: Assoc. Prof. Lidia Hristova Georgieva, MEng, PhD, Dept. of Computing, tel.: 888 380, E-mail: LGeorgieva@ecs.uni-ruse.bg Principal Assistant Elena Dyankova Yakimova, MEng, Dept. of Computing, tel.: 888 276 Е-mail: ESimeonova@ecs.uni-ruse.bg Abstract: The course aims at familiarising the students with the theoretical and practical aspects of fuzzy systems. They give basic knowledge of fuzzy logic, fuzzy set theory and their application in the decision making and games theory. Fuzzy controllers are discussed in the conditions of computer aided simulation. Course content: Basic fuzzy set theory. Relations, connectors and operators on fuzzy sets. Linguistic variables and terms. Rule base. Fuzzy systems and their application in decision making and games theory. Basic structures of fuzzy controllers. Typical fuzzy controllers. Elements of computer-aided development and simulation of fuzzy control systems. Teaching and assessment: The lectures consider the theory of the fuzzy logic, sets, theory of decision making, games theory and controllers. The practical sessions are conducted in a computer lab. The students acquire knowledge and skills necessary for solving individual tasks in this field. 0586 Business Modelling Systems ECTS credits: 3 Weekly classes: 3lec+0sem+0labs+3ws Assessment: exam Type of exam: test Departments involved: Department of Computing Faculty of Electrical Engineering, Electronics and Automation Lecturers: Assoc. Prof. Dr. Irina Ilieva Zheliazkova; Department of Computing, Eng, MSc, PhD; tel: 888-744 E-mail: Irina@ecs.uni-ruse.bg Abstract: The course gives the students opportunity to apply acquired knowledge and skills in economics, software engineering and programming environments in modelling and simulation in the field of business. It has input relationships with the courses: “Economics”, “Software engineering”, “Programming languages”, “Data bases”, and “Information systems” and has output relationships with the theses project. Course content: Company information system: architecture, features, user requirements. Marketing subsystem: methods, models, and database. Subsystem for investment and crediting: methods, models, ands database. Financial-accounting subsystem: methods, models, and database. Teaching and assessment: The lectures on each topic include: basic concepts, input/output data, business diagram, decision making models for specific problems, as well as the architecture of the corresponding subsystem. The practical exercises are reduced to problem solving with EXCEL as well as to demonstration of the corresponding subsystems, implemented by means of the programming environment DELPHI. The results from each exercise for each student are assessed by the assistant. The final mark is formed as an average of the practical exercises and a test on the lecture material marks. 256
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