https://portal.vik.bme.hu/kepzes/targyak/VIHIAV39/en/
The basic objective of "Administrating Computer Networks I." is to introduce the practical administration of computer networks - including network design, installation, and configuration of network devices. This subject gives the basics of "Administration Computer Networks in Practice II." (VIHIAV42) subject, thus providing adequate theoretical and practical knowledge and the way of its direct application. The students who successfully complete also the subject "Administrating Computer Networks II" acquire the knowledge and skills required for the Cisco CCNA (Cisco Certified Network Associate) certification. The certification can be obtained in authorized examination centers, independently from the University education.

https://portal.vik.bme.hu/kepzes/targyak/VITMMA01/en/

Textbook: Mark de Berg, Otfried Cheong (Schwarzkopf), Marc van Kreveld, Mark Overmars: Computational Geometry: Algorithms and Applications, Springer, 2008. Basic knowledge of linear algebra, graph theory, theory of algorithms is required. The course presents the fundamental problems, concepts, and methods in computational geometry.Topics:Computation of convex hull in the plane, degenerate cases, robustness.Segment intersection, computing the overlay of two maps.Polygon triangulation, its computation, the art gallery problem.Linear programming in low dimensions, incremental and randomized.Smallest enclosing disc. Range searching, range trees.Point location, trapezoidal maps. Randomized incremental approach.Voronoi diagrams, properties and computation. Arrangements of lines, point-line duality, levels in an arrangement, discrepancy.Triangulations of point sets, Delaunay triangulations, properties, relationship with the Voronoi diagram, computation.Computing the convex hull in the space.The k-set problem, bounds and applications.Crossing numbers of graphs, results, bounds, related problems.

https://portal.vik.bme.hu/kepzes/targyak/VIMAD569/en/
The students get a deeper insight into the theory of linear algebra. There will be a special emphasis on matrix functions, Jordan normal form, and their application for solving systems of differential equations. This way we would like to deepen the student’s knowledge and understanding according to the demands of other subjects.

Applications of Data ProcessingThe course presents model-based algorithms for information processing related to embedded systems. https://portal.vik.bme.hu/kepzes/targyak/VIMIMB06/en/

https://portal.vik.bme.hu/kepzes/targyak/VITMMA14/en/

https://portal.vik.bme.hu/kepzes/targyak/VISZMA09/en/

Enumerative combinatorics (permutations and combinations, binomial theorem, theorems on the binomial coefficients). Significant methods for enumeration, pigeonhole principle and the sieve.
Basic Graph Theoretical notions (vertex, edge, degree, isomorphism, path, cycle, connectivity). Trees, Cayley's formula, Prüfer-sequences. Kruskal's greedy algorithm. Characterization of bipartite graphs. Matchings, theorems of Kőnig, Hall and Frobenius, Tutte theorem, Gallai's theorems. Network flows, the Ford-Fulkerson algorithm, Edmonds-Karp algorithm.
Menger's theorems, higher vertex and edge connectivity of graphs, Dirac's theorem.
Euler's result on Eulerian tours and trails.
Hamiltonian cycles and paths, necessary condition for the existence. Sufficient conditions (theorems of Dirac, Ore, Pósa and Chvátal).
Planarity, relation to embeddability on the sphere and the torus, stereographic projection, Euler polyhedron theorem, Kuratowski's theorem, Fáry theorem.
BFS and DFS, algorithms for shortest paths (Dijkstra, Ford, Floyd), PERT.

https://portal.vik.bme.hu/kepzes/targyak/VITMAB06/en/

https://portal.vik.bme.hu/kepzes/targyak/VIHVMA18/en/

Objectives, learning outcomes and obtained knowledgeThe aim of the course is to teach the design, operation and features of modern computers. Knowing the main characteristics of the hardware enables the development of efficient software that makes better use of the resources of computers.Learning outcomes of the course:- Information processing models, control flow architectures, instruction sets- Fundamentals of I/O peripherals, traffic control, interrupts, DMA, interconnects- PCI, PCI Express and USB interfaces- Design, operation, and performance analysis of mass storage devices- Memory technologies, DRAM based memory systems, design, operation and performance analysis- Virtual memory management, concepts, operation, basic data structures, performance implications- Cache memory, organisation, management- Locality-aware programming techniques- Pipeline based instruction execution, optimization- Basic algorithms for out-of-order instruction execution, register renaming- Wide pipelines, superscalar processors- Branch prediction algorithms, branch prediction-aware programming techniques- Forms of parallel processing, Flynn taxonomy- Data parallelism, vector processors, SIMD instruction sets- Classification of multiprocessor systems, basic concepts- Fundamental problems of distributed memory management, cache coherence and memory consistency

The reliable and environmentally friendly management of technological, physiological, economic and environmental processes is one of the tasks of an electrical engineer requiring both abstraction and application skills. The subject introduces students to the basics of control technology, the operating principles of control systems using the perception-decision-intervention paradigm, the analysis and synthesis of control circuits built from linear elements and the related services of the computer development environment providing support for this. A student who successfully completes the requirements of the subject will be able to: (1) explain the basic concepts of control engineering, standard elements and signs of the control circuit, identify them in the case of a real system, describe and evaluate in a comparative way the qualitative characteristics of a control circuit, (2) apply the methods learned for examining the stability of analogue and digital control circuits in a univariate, linear case, and qualitatively determine stability reserves, (3) present and interpret the elements of the specifications used for sizing the controls, the theoretical and practical limitations taken into account during sizing, (4) apply model-based control design paradigms and procedures for continuous and discrete time, in the case of univariate linear systems, starting from different representations of the stage to be regulated, and select the procedure to be used for the given control task, (5) apply the services of the Matlab/Simulink development environment supporting the analysis of control circuits and the scaling of controllers, (6) explain how to identify parameters of univariate stable transfer functions, (7) in later studies, special courses in control theory (optimal and robust control, identification, control of nonlinear systems, etc.) and specializations based on control engineering knowledge (control systems, embedded systems, intelligent robots and vehicles) and subjects are taken, as well as laboratory exercises.
https://portal.vik.bme.hu/kepzes/targyak/VIIIAB10/en/

The course (together with the course entitled Digital Design 1) provides the students with all system level hardware and software knowledge required to the logical level design of microprocessor and microcontroller based digital equipment. The theoretical background is also widened through the solution of design problems during the classroom and laboratory practices and homework assignments. Students successfully passing the course will learn the methods and practices in the design and analysis of microprocessor and microcontroller based systems, obtain detailed understanding of a simple microcontroller, its common peripherals and its assembly language and be able to quickly understand the usage of other microprocessors.
https://portal.vik.bme.hu/kepzes/targyak/VIIIAA05/en/

https://portal.vik.bme.hu/kepzes/targyak/VIHIAB03/en/

Engineering management (EM) in the knowledge-based society. Definition, role and areas of the EM. The evolution of the EM discipline. Peculiarities, generic trends and EM of the information, communication and electronic media technologies (ICT). Managerial elements of the engineering activity. Components and principles of the managerial activity. Managerial situations, methods and tools. Strategic management. Strategy types and parts. Business strategic planning methods. Classes of competitive strategies. Implementation of strategy: success factors, progress tracing. Methods of the strategic direction and control. Complex engineering decision problems, customer-oriented and systemic approaches, solutions, procedures. Planning and allocation of resources, multi-project management. Management of organizations. Organization types in the ICT sector. Lifecycle, decision culture of organizations, change management. Managing cooperation of organizations, complex working groups. Knowledge management. Knowledge process: accumulation, internalization, adaptation, externalization. Competence. Knowledge sharing and transfer. Knowledge based systems. Types of the intellectual property, principles of intellectual property rights. Open access software. Exploitation of the intellectual properties. Intellectual public utilities. ICT specific EM. Technology management. Technological planning, forecast, transfer, launching, change. Making technology vision, analyzing driving forces, scenarios. Technology-driven business strategies. Corporate ICT functions. Application of the ICT in shaping new business strategies, global work-flows, efficient organization structures. Innovation management. Goals of research, development and innovation. Innovation models and metrics. Management of the innovation process, quality and risks. Innovation chain: university-industry partnership, role of the government. Multi-tier organization and operation of the research-development-innovation management. Innovation financing. National and EU sources, grants, funds, tenders. Development projects. Technological incubators, innovation centers, start-up companies, technological consortia in the ICT sector. Product management. Goals and process of the product development. Markets of the ICT products and services. Market players, competitive environment. Market segmentation. Life-cycle of the product, and its management. Product pricing, price-sensitivity of the customers. Market-research, sale and sale-support methods. Business process management. Analyzing, planning, regulating, improving and transforming corporate business process. Criteria of the process-based management systems. Methods for developing processes. IT in the corporate value creation. Customer relationship management (CRM), operation support systems, supply chain management, business continuity management. Special business functions (e.g. billing), industry-specific systems, IT system architecture of telecommunication service providers. Regulatory environment. Sector regulation. Goals and principles of the regulation in general and in the networked and public service sectors. Competition regulation, consumer protection. Regulatory institutions and procedures, ex-ante and ex-post regulation, self-regulation, public hearing, standards. Regulation of the information and communication technologies and markets. Technology and marker regulatory models in the ICT sector. Regulatory tasks for deploying the convergence of the telecommunications, information and media technology sectors. Community and national regulation of the electronic communications network and services. Framework and specific directives. Rules for the cooperation of the network operators and service providers. Regulation for managing scarce resources, frequency, number and address management. Concept for regulating information security, data protection and content.
https://portal.vik.bme.hu/kepzes/targyak/VITMMB03/en/

Formal Methods
As the complexity of computer systems and the risk of their potential failures are increasing, it becomes more and more important to prove that the design and implementation of critical system components are correct (error-free). One of the typical solutions for the challenge of provably correct design is the application of formal methods: formal models provide a precise and unambiguous specification of requirements and construction of design models; formal verification allows the checking of design decisions and proof of properties; and the verified models allow automated software synthesis. The subject provides an overview of the background that is needed for the construction and analysis of the formal models of IT components and systems, including the most important modelling languages, as well as the related analytical and simulation-based verification methods. The subject demonstrates the application of formal methods in the field of requirement specification, system and software design, model based verification, and source code synthesis.
Students who successfully fulfil the requirements of the course will be able (1) to understand and apply various formal methods, (2) to construct formal models based on informal system descriptions, (3) to understand the advantages and limitations of formal verification techniques, (4) to apply tools that support the application of formal methods.
https://portal.vik.bme.hu/kepzes/targyak/VIMIMA26/en/ 

Basic goal of the „Infocommunication” subject is to present specific terms, procedures, problems and solutions used in telecommunications. The subject strives to give solid basis of the most important terms and procedures to support further studies of related orientations.
For all future electroengineers the subject provides basic knowledge for the forthcoming studies, whatever specialization is chosen by the student.
Both the lectures and the seminars aim to teach the students so that they not only understand but are able to apply the known methods, procedures, e.t.c., on their own. On the other hand, it is also important to point out the trends and innovations of the infocommunication technologies so that the students could be able understand them with a little individual effort.
Stochastic processes. Parameters, classification, operations on processes. 
1) Stochastic processes. Parameters, classification, operations on processes.
2) Sampling. Spectrum of a Sampled Signal. Narrow Band Signal Sampling.
3) Signal Reconstruction from Samples. Shanon Theorem.
4) Linear and Nonlinear Quantization. Quantization Error and Noise. PCM signal.
5) Physical Properties of Sound. Physiological Properties of Hearing.
6) Physical properties of Light. Physiological Properties of Vision.
7) Information contents of still and moving images.
8) Construction of metal cables (aerial cable, flat cable, UTP, coaxial cable) and their parameters (specific attenuation and phase, propagation delay and velocity.
9) Construction of optical fiber cable types (SI, GI, SM) and their parameters (NA, modal dispersion, chromatic dispersion.
10) Hybrid, two and four-wire repeater. The loop stability issue. Near and far end crosstalk.
11) Wave Propagation Modes I. Line-of-sight, multipath, and surface wave propagation.
12) Wave Propagation Modes II. Refraction, diffraction, tropospherical scatter, ionospherical propagation.
13) AMDSB, AMDSB/SC, AMSSB. Spectrum, representations, demodulation.
14) Analog Phase and Frequency Modulation. Bandwidth, demodulation.
15) Baseband Digital Modulation. PAM. Probability of Error.
16) Matched Filters. Inter-symbol Interference. Nyquist criterium
17) Digital Carrieer Modulations. ASK, PSK, FSK. Time domain repr., spectrum.
18) M-ary PSK. Constellation diagram. Bandwidth and power comparison to BPSK.
19) QAM, a and q components. QAM modulator and demodulator. Carrier recovery.
20) Channel Allocation Methods (FDM, TDM). Voice channel multiplexing.
21) Random TDMA procedures: Roll-call polling, Hub poling, token ring.
22) Random TDMA procedures: pure and slotted Aloha, carrier sensing multiple access.
23) Spread Spectrum Multiple Access: CDMA, FHMA, slow and fast freq. hopping
24) Terrestrial and Satellite P-Point Communication. Transmitter, transponder, receiver.
25) Mobile Operational Modes: Simplex, Half Duplex, Mobile Relay, Full Duplex.
26) Mobile Propagation Features: Multipath propagation, Rayleigh fading, Doppler effect.
27) GSM Channel allocation: uplink, downlink, FDMA/TDMA
28) GSM Network Structure. BSS, BSC, MSC, HLR, VLR, EIR, OMC.
29) GSM area coverage, clusters, S/I ratio

https://portal.vik.bme.hu/kepzes/targyak/VITMAD01/en/

Introduce the students to the possibilities of automating small and large buildings. Within the scope of the subject, we deal in more detail with the elements of central building engineering and the possibilities of their automation, the possibilities of automating the comfort areas of the building, the operation and structure of the bus systems used to implement the various automation systems. In connection with the automation of lighting systems, we also examine the requirements of different types of light sources for automation. 

https://portal.vik.bme.hu/kepzes/targyak/VIHVAC07/en/

https://portal.vik.bme.hu/kepzes/targyak/VISZAA04/en/

https://portal.vik.bme.hu/kepzes/targyak/VISZD302/en/

The aim of the course is to provide knowledge on the planning, execution and evaluation of measurements, focusing on the measurement of quantities of particular importance to electrical engineers. The theoretical and practical content of the course emphasizes that measurement is a process of modeling signals and engineering systems, not merely determining the quantitative or qualitative value of a quantity. Students will be able to evaluate the data of any measurement procedure, to give the measurement result with the associated accuracy information (uncertainty), to be familiar with the procedures and instruments for measuring basic quantities in electrical engineering practice, and to apply signal processing tools to solve measurement problems.https://portal.vik.bme.hu/kepzes/targyak/VIMIAB02/en/ 

https://portal.vik.bme.hu/kepzes/targyak/VIHVMB09/en/

The aim of the course is to lecture basic knowledge of power systems, which are necessary for all electrical engineers, and are also a foundation for students taking power system engineering major.
Introduction of the structure and operation of power systems, organised along the operation principles of elements and subsystems of the network. Representation of power systems, basic methods of examination of symmetrical operation. Detailing of the most important questions of asymmetrical operation from the aspect of distribution and consumer networks. Requirements of power quality and security of supply. Introduction of the basic principles of frequency and voltage regulation in the electric power system. Overview on the paradigm shift in the distinctive fields of power system engineering (production, transmission, service, environmental effects), the smart grid concept and other actual trends.

The aim of the subject is to learn about the causes of electromagnetic transients in the electricity system, the physics of the processes and the consequences of transients. The lectures are intended to provide a deeper understanding of the processes that occur during abnormal operating conditions and short circuits, the design of surge protection, and the operation of some advanced solutions of the power system. The exercises aim to introduce methods for building a simplified physical picture and computational procedures and techniques for simulating transients. 

The course is intented to provide theoretical knowledge and practical skills in the following fields: system approach of power system design, operation and control, understanding of related physical phenomena and processes and devices capable of influencing these processes, application of the theoretical knowledge in computer aided design, control and safe operation. 

https://portal.vik.bme.hu/kepzes/targyak/VIHIMSUB001-00/en/

The course aims to summarize the theoretical and practical foundations of modeling, control, and implementation of industrial robot systems and unmanned, autonomous mobile robots. The course presents the most common types of robots, the theoretical basis of their modeling, and the methods of their trajectory planning and control. It gives details about the modern sensors used for the navigation of mobile robots and the basic sensor fusion solutions, as well as different motion planning methods. Students who successfully pass the course can participate in assembling complex robot systems and developing and implementing their control algorithms.
https://portal.vik.bme.hu/kepzes/targyak/VIIIMA21/en/

https://portal.vik.bme.hu/kepzes/targyak/VIHIAV34/en/

https://portal.vik.bme.hu/kepzes/targyak/VIHVAA03/en/

https://portal.vik.bme.hu/kepzes/targyak/VIAUAB00/en/

This course gives a short description of the well-known and generally used renewable energy sources, During the classes the students can get acquainted with socio-economic impacts, basic environment protection principles related to renewable energy sources and are provided with basics of device physics, device construction and manufacturing processes, especially that of solar cells. Besides other renewable energy source the course is focusing on usage of solar energy especially through photo-voltaic devices and the semiconductor aspects of these devices.

https://portal.vik.bme.hu/kepzes/targyak/VISZMA10/en/

https://portal.vik.bme.hu/kepzes/targyak/VIHIAV51/en/

The objective of the course is to introduce software engineering students to the operation of hardware elements of IT devices, and their implementation technologies. The aim is also to show the opportunities of the modern microelectronics in computer technology, and to discuss the limitations of physical implementation and trends. Software engineering students will understand and experience in the laboratory exercises that hardware and software development is done using similar principles and tools.
The student who successfully completes the subject:
(K1) will be aware of the basic operation and limitations of the IT devices
(K1) knows the basic physical structure of an electronic system
(K2) understands the most important concepts of the modern digital design and development tools, will be able to cooperate with electrical engineers on digital design
(K2) can apply elementary considerations of the performance and cooling requirements of a system
(K2) will have basic knowledge of the sensor technology and analog-digital conversion

https://portal.vik.bme.hu/kepzes/targyak/VISZAA08/en/

Trustworthy AI and Data Analysis
The results of artificial intelligence, machine learning, and data analytics are increasingly used for several real-life purposes as a service embedded in complex IT systems. However, the operational safety of these IT systems is currently often not addressed, as their correct functioning is typically not guaranteed, there are no standardized development/testing methods, the robustness of such systems is not ensured, and they are not protected against accidental or malicious input errors. However, there is a wide range of research and regulatory activity to improve reliability, which has led to new ethical, legal, technological, and theoretical approaches to managing societal-level risks.The objective of this course is to introduce the approaches, concepts, and engineering best practices of trustworthy data analysis, machine learning, and artificial intelligence. The course will also review issues related to the integration of intelligent algorithms into IT systems, methods for data-driven solutions to technical problems, and integration of these into development/operations processes.The course will introduce the human-centered approach to data analytics and artificial intelligence at a societal level, its ethical background, legal regulation, its representation in standards, and its implementation in engineering practice. For both data analytics and AI, it will present the potential and limitations of interpretability, explainability, testability, and sensitivity analysis. It describes the comprehensive formalization of the data analysis workflow and the lifecycle of creating an AI service/product, specifically validated documentation, with the potential of using blockchain tools and the auditing of the result.
https://portal.vik.bme.hu/kepzes/targyak/VIMIMB10/en/

https://portal.vik.bme.hu/kepzes/targyak/VIHIAV37/en/