The Study Programme of Master Academic Studies – Computing Science and Informatics conducted at the Faculty of Electronic Engineering in Niš has 4 modules:
- Software Engineering (SE),
- Computer Systems Security (CSS),
- Information Systems and Technologies (IST),
- Data Engineering (DE).
Studies are characterized by acquiring narrow scientific-professional and professional-applicative knowledge within these modules.
Teaching at this study programme lasts two semesters (one year) during which a student acquires mininum of 60 ECTS.
This study programme may be enrolled only by the candidates who gained mininum of 240 ECTS credits either at the Faculty of Electronic Engineering or another akin faculty.
Teaching process at this study programme is structured in the following way:
During the studies, a student needs to pass seven courses in the least, of which 5 courses in the first semester and 2 in the second. This structure implies that student chooses at least 4 courses that are specific for the chosen module. The content of courses is such that it upgrades the knowledge acquired in the field of Computing Science and Informatics, and it is generally to do with courses containing advanced topics.
In the first term students are to do research work that introduces them to scientific research through term papers and projects. In the second term there is mandatory professional practice with 3 ECTS, which allows students to confirm acquired knowledge in real working environment, preparing them for the oncoming work duties and master thesis.
Through elective courses, professional practice, as well as master thesis – the research work, students are prepared for the work on master thesis that carries 15 ECTS.
Teaching is conducted in the form of lectures, practice work and research work.
Lectures are intended for theoretical bases transfer, while during practice work, examples that illustrate taught content are elaborated.
Within study research work there are laboratory work, consultations, term papers, and projects.
Computers and projectors are used in the teaching process, and if necessary, computer rooms are used for teaching purposes.
Moodle platforms are used for all courses as a support in the teaching process. Work of a student, during the teaching process is followed and valuated according to the rules adopted at the Faculty of Electronic Engineering in Niš, of which students are informed in advance.
Teaching at this study programme lasts two semesters (one year) during which a student acquires mininum of 60 ECTS.
This study programme may be enrolled only by the candidates who gained mininum of 240 ECTS credits either at the Faculty of Electronic Engineering or another akin faculty.
Teaching process at this study programme is structured in the following way:
- For each module in the first term there is an elective list A for the module with at least eight courses out of which student chooses three, while two courses student chooses from the common elective block A for all modules.
- For each module in the second term there is an elective list B for the module with at least four courses out of which student chooses one, while they choose one more out of the common elective block B for all modules.
- There is research work that student performs in both terms in cooperation with lecturers at the study programme. During this work they get introduced with the latest professional and technological knowledge, as well as elements of scientific and research team work.
- Master thesis that student works on is in the second, final term.
During the studies, a student needs to pass seven courses in the least, of which 5 courses in the first semester and 2 in the second. This structure implies that student chooses at least 4 courses that are specific for the chosen module. The content of courses is such that it upgrades the knowledge acquired in the field of Computing Science and Informatics, and it is generally to do with courses containing advanced topics.
In the first term students are to do research work that introduces them to scientific research through term papers and projects. In the second term there is mandatory professional practice with 3 ECTS, which allows students to confirm acquired knowledge in real working environment, preparing them for the oncoming work duties and master thesis.
Through elective courses, professional practice, as well as master thesis – the research work, students are prepared for the work on master thesis that carries 15 ECTS.
Teaching is conducted in the form of lectures, practice work and research work.
Lectures are intended for theoretical bases transfer, while during practice work, examples that illustrate taught content are elaborated.
Within study research work there are laboratory work, consultations, term papers, and projects.
Computers and projectors are used in the teaching process, and if necessary, computer rooms are used for teaching purposes.
Moodle platforms are used for all courses as a support in the teaching process. Work of a student, during the teaching process is followed and valuated according to the rules adopted at the Faculty of Electronic Engineering in Niš, of which students are informed in advance.
Master Engineer of Electrical Engineering and Computing
0
ECTS
0
Year
1. semester
Elective Block for Modul SE (3 out of 8)
The name of the course: Advanced Software Engineering
Code: 3MRS1A01
Number of classes per week:
Code: 3MRS1A01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:A brief overview and history of software engineering. Software evolution. Software metrics. Software cost estimation. Quality management. Improving the software process. Agile methods for software development. Introduction to Scrum. User stories. Agile planning and evaluation. Configuration management. Code control systems. Software reuse. Software engineering based on components. Prototype. Developing security-sensitive software. Real-time software development.
Specification for the book of courses
Specification for the book of courses
The name of the course: Intelligent Systems
Code: 3MRS1A02
Number of classes per week:
Code: 3MRS1A02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Artifical intelligence systems. Complete Turing test. Inference based on unreliabale data: non-monolit inferencing, statistical methods. Bayesian networks: syntax and semantics, precise and approximate infering. Computing vision. Communication: natural language processing. Speach recognition. Natural language recognition. Speach generation. Planning and planning algorythms. Probabilistic inference. Machine learning and algorithms for machine learning. Distributed intelligence and distributed inferring systems. Application of intelligent systems in business. Business intelligence, multi-databases and OLAP. Semantic representation and commonsense knowledge. Ontologies. Examples of ontology based systems (intelligent information integration, Semantic Web).
Specification for the book of courses
Specification for the book of courses
The name of the course: Geographic Information Systems
Code: 3MRS1A03
Number of classes per week:
Code: 3MRS1A03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to geographic information systems (GIS). Geographic and cartographic foundations of GIS. Architecture and design GIS-a. Methods and systems for positioning. Satellite systems for global positioning - GPS (Global Positioning System). System for positioning based on wireless networks in indoor environment. Geospatial data models. Geospatial data representations and algorithms for processing. Index structures and access methods. Spatial databases. GIS architecture and design. Geo-visualization and GIS interfaces. Methods and algorithms for geospatial data analysis. Time in GIS and spatio-temporal data management. Processing and analysis of Big geospatial data. Specification and standards in geospatial and GIS domains (OGC, ISO TC 211, etc.). Web GIS and distributed GI services. Mobile GIS and location-based services.
Specification for the book of courses
Specification for the book of courses
The name of the course: Advanced Web Technologies
Code: 3MRS1A04
Number of classes per week:
Code: 3MRS1A04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Internet as a global resource, advanced techniques for on-line searching. Working with unstructured data. A formal description and processing XML documents (DTD, XML Schema, XML DOM, SAX, XSLT). XML and RDF specifications. Web services and SOA applications. Rest services. Choreography and orchestration of Web services. Scalability, reliability and security of Web applications. Personalizing the Web. Web 2.0 technologies. Internet as a platform. Web and mobile applications. Web management.
Specification for the book of courses
Specification for the book of courses
The name of the course: Advanced Operating Systems
Code: 3MRS1A05
Number of classes per week:
Code: 3MRS1A05
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Advanced concepts, algorithms, technologies and implementation of contemporary operating systems components, such as process/thread management, process synchronization and communication, memory management, U/I device drivers, file system and network services. Multimedia operating systems. Security and protection in operating systems. Distributed operating systems. System software and platforms for Bug Data processing and analysis. Operating system of mobile and embedded computers and Internet of Things systems. Operating systems for multiprocessor and parallel computing systems. Special purpose operating systems. Design and implementation of contemporary operating systems and system software. System programming of contemporary operating systems.
Specification for the book of courses
Specification for the book of courses
The name of the course: Interoperability and Information Integration
Code: 3MRS1A06
Number of classes per week:
Code: 3MRS1A06
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to the problem of information integration. Heterogeneity problems and solving methods: technical, syntax, semantic. Architecture for information integration. Ontology and semantic heterogeneity. Ontology construction. Semantic heterogeneity, ontology types used for information integration, ontology mapping. Interoperability of applications and systems. Approaches and platforms for the implementation of interoperability. Interoperability implementation Technologies: Enterprise Service Bus, Service-Oriented Architecture. Standards and their importance regarding the implementation of interoperability. Ontologies of Open Data and Web Portals used as access points towards integrated information. Open data and semantic interoperability of systems based on open data.
Specification for the book of courses
Specification for the book of courses
The name of the course: Computer Animation
Code: 3MRS1A07
Number of classes per week:
Code: 3MRS1A07
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Algorithms and programming techniques of computer animation. Algorithms and approaches to behavior animation and animation based on object physics. 2D and 3D animation. Sprites. Key Frame Technique. Animation of the face and mimics. Direct and inverse kinematics. Capture the movement. Animation in video games. Animation of the particle system. Clothing animation.
Specification for the book of courses
Specification for the book of courses
The name of the course: Requirements Engineering
Code: 3MRS1A08
Number of classes per week:
Code: 3MRS1A08
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction and a brief history of requirements engineering. Requirements management. Functional and non-functional requirements. Problems in the requirements specification. Use of standards in the requirements specification. Spiral model for requirement management process. Requirements elicitation. Requirements analysis. Requirements validation. Types of the requirements. Characteristics of the requirements. Fake requirements. Requirements engineering methods. DFD diagrams. Relational methods. Object-oriented methods. Formal methods. Methods based on system behavior. Use-case specification. Viewpoint-based methods. Software tools for requirements engineering.
Specification for the book of courses
Specification for the book of courses
Elective Block for Modul CSS (3 out of 8)
The name of the course: Computer Network Security
Code: 3MRB1A01
Number of classes per week:
Code: 3MRB1A01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:The objectives of security: data protection, data integrity, authentification. Cryptographic algorithms: public and shared keys. Key exchange protocols. Digital signature. The security aspects of different network layers. Protocols and techniques for protection against specific types of attacks. Application of security protocols in data protection. Protecting data integrity and authentication (Kerbos, SSL / TLS. IPSec, VPN, PK). Application tools and firewall for system level protection. Attacks. Computer viruses. Security of wireless networks.
Specification for the book of courses
Specification for the book of courses
The name of the course: Secure Software Design
Code: 3MRB1A02
Number of classes per week:
Code: 3MRB1A02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:1. Weak points in shell scripts 2. Password coding 3. Pseudorandom numbers based applications 4. Implementation of random generators 5. Methods for the Buffer Overflow problem overcoming 6. Access control matrix implementation 7. Thread management 8. Methods against file level deadlocks 9. Input validation 10. Authentication protocols 11. Using cryptographic algorithms in software 12. Configurations - design and using 13. Problems with memory allocation and de-allocation
Specification for the book of courses
Specification for the book of courses
The name of the course: Digital Forensics
Code: 3MRB1A03
Number of classes per week:
Code: 3MRB1A03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Identification, preservation and analysis of digital evidence. Basic principles, policies and methodologies of digital forensics. The legal component of digital forensics. Preparation and presentation of digital evidence in court in a proper procedure in forensic properly. Recover lost data. Password cracking and decryption of data. Forensics software. Forensics of operating system and file system. Forensics of digital devices. Network forensics. Forensics of mobile devices. Software and hardware tools for digital forensics (EnCase, Toolkit - FTK, VMware, ...).
Specification for the book of courses
Specification for the book of courses
The name of the course: Cloud Computing
Code: 3MRB1A04
Number of classes per week:
Code: 3MRB1A04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Objectives and concepts of virtualization. Virtualization technologies. Hypervisor-based virtualization. Container-based virtualization. Docker. Kubernetes. Virtual services and applications. Service-oriented architectures. Methods, technologies and applications of cloud computing. Software as a Service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS). Data storage in the cloud computing. Virtual file systems. Security of cloud computing. Techniques for implementing high-reliability cloud computing. Data backup techniques. Migration of services. Resource planning. Application development in the cloud computing and open source solutions. High-performance computing on the cloud (Hadoop, MapReduce, HDFS). Hadoop open technologies: Hive, Pig, HBase, Mahout.
Specification for the book of courses
Specification for the book of courses
The name of the course: Virtualization
Code: 3MRB1A05
Number of classes per week:
Code: 3MRB1A05
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:What is virtualization: history, conceptualization and fundamental principles;
Types of virtualization and technologies : Server virtualization, storage space virtualization, network virtualization, application virtualization; Operating system level virtualization; Containers; Virtual Network Functions; Virtual machines and hypervisors; Resource management systems in virtulized systems. Virtualized system architectures.
Specification for the book of courses
Types of virtualization and technologies : Server virtualization, storage space virtualization, network virtualization, application virtualization; Operating system level virtualization; Containers; Virtual Network Functions; Virtual machines and hypervisors; Resource management systems in virtulized systems. Virtualized system architectures.
Specification for the book of courses
The name of the course: System Administration
Code: 3MRB1A06
Number of classes per week:
Code: 3MRB1A06
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Linux operating system: Fundamentals of Linux operating system from system administration perspective. Overview of the available open-source Linux distributions. Commands and languages for writing script programmes. User management. File system management. Operating system vulnerabilities. Server management - configuration documents. Activity tracking - logs. Basics of Techical Support: Technical Support basic principles, Workflows - Level 1, Level 2, Level 3 and management level. Remote location support. Virtualized system administration. Main types of virtualization and available technologies. Container-based system. Virtual machine-based systems. Virtualized network management.
Specification for the book of courses
Specification for the book of courses
The name of the course: Cryptography
Code: 3MRB1A07
Number of classes per week:
Code: 3MRB1A07
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:History and overview of cryptography. Mathematical background. Basic symmetric-key encryption. Stream ciphers. Block ciphers. DES – The Data Encryption Standard. AES – The Advanced Encryption Standard. Asymmetric cryptography using public-private key pair. Hash Functions and Data Integrity. Digital signature schemes. RSA signatures. The "Hash-and-Sign" Paradigm. Certificates and Public-Key Infrastructures. Secure Socket Layer (SSL) and Transport Layer Security (TLS) standards.
Specification for the book of courses
Specification for the book of courses
The name of the course: High-performance Computing
Code: 3MRB1A08
Number of classes per week:
Code: 3MRB1A08
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Overview of advanced concepts, methods and techniques in high-performance computing (HPC High Performance Computing). High-performance computing in distributed environment on the network of workstations (cluster), grid and cloud computing. High-performance computing on multi-core computers with shared memory and many-core architectures, such as graphics processing unit (GPU). High-performance computing on hybrid architectures. Modern technologies to achieve high performance (CUDA/OpenCL, OpenACC, Thrust biblioteka, OpenMP, Intel TBB, MPI, Hadoop MapReduce). Performance analysis, assessment and improvement (execution time, energy consumption and programming effort for program parallelization ) of HPC systems using appropriate tools. HPC applications in geographical information systems (GIS), image processing, environmental protection, business systems, bioinformatics, etc.
Specification for the book of courses
Specification for the book of courses
Elective Block for Modul IST (3 out of 8)
The name of the course: Computer Simulation
Code: 3MRI1A01
Number of classes per week:
Code: 3MRI1A01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Basics of computer simulation. General approach to system simulation. Mathematical basics of the simulation system. Mathematical modeling of physical processes and sensor data. Stochastic and deterministic approach in simulation. Continuous and discrete simulations. Efficient data structures and simulation algorithms. Access via differential algebraic equations. Local and distributed simulations. Discrete event simulation (DES). Aggregate Level Simulation Protocol (ALSP), Distributed Interactive Simulation (DIS), High Level Architecture (HLA). Introduction to 3D software. 3D simulations in real time. Parallel algorithms in simulation systems. Optimization of hardware for simulation machines.
Specification for the book of courses
Specification for the book of courses
The name of the course: Application of Multiple Valued Logic in Representation and Processing of Digital Signals
Code: 3MRI1A02
Number of classes per week:
Code: 3MRI1A02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Multiple-Valued Logic Functions and Applications. Functional Expressions for Multiple-Valued Functions. Spectral Representations of Multiple-Valued Functions. Decision Diagrams for Multiple-Valued Functions. Fast Calculation Algorithms. Algorithms for Calculations of Multiple-Valued functions Transforms on Graphical Processors.
Specification for the book of courses
Specification for the book of courses
The name of the course: Semantic Web
Code: 3MRI1A03
Number of classes per week:
Code: 3MRI1A03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction: structure, syntax and semantics; need for semantics on the Web. Meta-programming: Metadata, XML Schema, XSLT, RDF. Semantics: The semantics and knowledge, Ontologies, Logic; Reasoning; Domain modeling; Context. Distributed Knowledge: Classification; Knowledge based protocols; Technologies: Tools for working with ontologies; software (API) for working with ontologies, OWL, Methodologies: Methodologies for ontology engineering methodologies of the introduction of knowledge management, semantic systems development methodology; semantic systems: semantic Web Services and semantic Web Portals, Semantic Wiki, Semantic Multi-agent systems, Semantic Web browsers, ... Applications: Big Data analytics and search, Business intelligence, Intelligence in Web application development, Intelligent virtualization of computing infrastrucures.
Specification for the book of courses
Specification for the book of courses
The name of the course: Methods and Techniques of the Image Processing
Code: 3MRI1A04
Number of classes per week:
Code: 3MRI1A04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Principles of image digitization. Quantity of the image in the original and transformation domain. Statistical models of picture and noise. Transformation of the image. Discrete representations of image transformations. Methods for filtering in the original and transformation domain. Quantification. Image restoration: Linear filters. Image restoration and segmentation: nonlinear filters. Methods for improving the image quality. Image compression. Efficient algorithms for image processing. Processing scanned documents. OCR systems.
Specification for the book of courses
Specification for the book of courses
The name of the course: Medical Information Systems
Code: 3MRI1A05
Number of classes per week:
Code: 3MRI1A05
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:1. Introduction to medical information systems 2. Data quality 3. Standards and legislature 4. Comparison of existing systems 5. Medical information system design specificities 6. Aspects of system implementation 7. System and data security 8. Overview on implementation technologies 9. System installation and deployment phase 10. System exploitation phase 11. System interoperability 12. Telemedicine 13. Decision support systems 14. Medical information system project management
Specification for the book of courses
Specification for the book of courses
The name of the course: Advanced Learning Technologies
Code: 3MRI1A06
Number of classes per week:
Code: 3MRI1A06
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Learning paradigms; instructivist and constructivist approach. Instructional design and use of technology resources in instructional design. Formal and non-formal learning environments – games, e-learning, computer supported collaborative learning, problem-based and project-based learning, learning through social interaction. Computerized testing – standardized, adaptive and informal testing. Standard formats for presentation of learning material.
Specification for the book of courses
Specification for the book of courses
The name of the course: Interoperability and Information Integration
Code: 3MRI1A07
Number of classes per week:
Code: 3MRI1A07
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to the problem of information integration. Heterogeneity problems and solving methods: technical, syntax, semantic. Architecture for information integration. Ontology and semantic heterogeneity. Ontology construction. Semantic heterogeneity, ontology types used for information integration, ontology mapping. Interoperability of applications and systems. Approaches and platforms for the implementation of interoperability. Interoperability implementation Technologies: Enterprise Service Bus, Service-Oriented Architecture. Standards and their importance regarding the implementation of interoperability. Ontologies of Open Data and Web Portals used as access points towards integrated information. Open data and semantic interoperability of systems based on open data.
Specification for the book of courses
Specification for the book of courses
The name of the course: Command and Control Information Systems
Code: 3MRI1A08
Number of classes per week:
Code: 3MRI1A08
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Historical overview of the development of command & control information systems (C2IS). The basic functionality of C2IS. C2IS architecture. Standards in the area of C2IS. Communication in C2IS. Integration with GIS. The use of GPS technology in C2IS. Sensor integration. Data fusion. Tracking of mobile objects. Reporting in C2IS. Support for decision making. Application areas of C2IS. Military C2IS. C2IS for weather modification.
Specification for the book of courses
Specification for the book of courses
Elective Block for Modul DE (3 out of 8)
The name of the course: Intelligent Systems
Code: 3MRP1A01
Number of classes per week:
Code: 3MRP1A01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Artifical intelligence systems. Complete Turing test. Inference based on unreliabale data: non-monolit inferencing, statistical methods. Bayesian networks: syntax and semantics, precise and approximate infering. Computing vision. Communication: natural language processing. Speach recognition. Natural language recognition. Speach generation. Planning and planning algorythms. Probabilistic inference. Machine learning and algorithms for machine learning. Distributed intelligence and distributed inferring systems. Application of intelligent systems in business. Business intelligence, multi-databases and OLAP. Semantic representation and commonsense knowledge. Ontologies. Examples of ontology based systems (intelligent information integration, Semantic Web).
Specification for the book of courses
Specification for the book of courses
The name of the course: Data Mining Techniques and Methods
Code: 3MRP1A02
Number of classes per week:
Code: 3MRP1A02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Data mining goal and application. Types of datasets and attributes. Data quality problems. Data preprocessing. Exploratory data analysis, summary statistics, data visualization. Classification of data mining algorithms. Linear regression. Classification algorithms: decission trees, Naive Bayes algorithm, SVM. Classificator evaluation. Clustering algorrithms: K-means, hierarchical clausterization. Associative analysis. Algorithms for associative rules generation.
Specification for the book of courses
Specification for the book of courses
The name of the course: Big Data Systems
Code: 3MRP1A03
Number of classes per week:
Code: 3MRP1A03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to Big Data. Fundamental principles, methods and technologies for storage, processing, and analysis of large-scale data (Big Data), as well as machine learning and mining over Big Data. Distributed file systems and distributed databases for Big Data storage. Software frameworks and platforms for management, processing and analysis of Big Data. Data stream and complex event management and processing systems. Big Data visualization and visual analysis. Big Data management and analysis in Internet of Things and ubiquitous computing. Cloud computing and Big Data processing in cloud, fog and edge. Open source technologies and software platforms for distributed processing and analysis of Big Data. Analysis, design, implementation and evaluation of systems and applications for Big Data processing and analysis. Contemporary applications based on Big Data systems for in smart cities, intelligent transportation, Internet of Things, social networks/media, geo-spatial systems, etc.
Specification for the book of courses
Specification for the book of courses
The name of the course: Web Mining
Code: 3MRP1A04
Number of classes per week:
Code: 3MRP1A04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to Web mining. Web Document specifics. Techniques for analyzing the content of Web documents. Identify the document theme and document term rank. Classification and clustering of documents. Analysis of Web structure, ranking documents by relevance. Website ranking improvement techniques. Web access analysis. Detection of Web site user behavior patterns. Recommendation systems. Web visualization.
Specification for the book of courses
Specification for the book of courses
The name of the course: Pattern Recognition
Code: 3MRP1A05
Number of classes per week:
Code: 3MRP1A05
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Systems for identifying samples, registering and measuring object characteristics. Data acquisition, preprocessing and signal representation. Reducing complexity and classification. Statistic methods for pattern recognition. Classification based on minimal error. Classification based on maximum similarity. EM-algorithm. SVM (Support Vector Machine) classifiers. Stochastic finite automata and discrete Markov models. Hidden Markov models. Real-time visual recognition systems. Systems for processing and recognizing digital images and scanned documents. OCR systems. Examples of applying pattern recognition.
Specification for the book of courses
Specification for the book of courses
The name of the course: Data Visualization
Code: 3MRP1A06
Number of classes per week:
Code: 3MRP1A06
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Types of data. Data visualization principles. Perception. Optical illusions. Tables, charts, trees, graphs, treemap. Visualization of multivariate data. Animations, multimedia presentations. Visualization of social networks. Visualization of medical data, Visualization of economic data. Weather series. Visualization of GIS data. Visualization of the process. Visualization tools and environments (Excel, Tableau, R). Visualization and data analysis. BI environments.
Specification for the book of courses
Specification for the book of courses
The name of the course: Methods of optimization
Code: 3MRP1A07
Number of classes per week:
Code: 3MRP1A07
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Real multivariable functions. Partial derivatives, gradient, hessian. Local, constrained and global extrema.Taylor formula. Elements of convex analysis. General optimization problem. Linear programming. Duality. Simplex method. Nonlinear programming. Searching and gradient methods. Constrained optimization: optimality conditions. Penalty functions method.
Specification for the book of courses
Specification for the book of courses
The name of the course: Machine Learning
Code: 3MRP1A08
Number of classes per week:
Code: 3MRP1A08
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to machine learning, approaches and types of machine learning. The role of machine learning for the realization of intelligent systems, the role in the big data analysis. Algorithmic learning models. Statistical approaches. Classifiers, functions, relationships, probability models. Bayesian environments. Decision trees, neural networks, support vector machines, Bayesian networks, bag of words classifiers, N-gram models, Markov and Hidden Markov models. Associative rules, nearest neighbor classifiers. Reduction of dimensionality and visualization. Clustering, k-means clustering, hierarchical clustering, distribution clustering. Reinforcement learning. Learning from heterogeneous distributed data and knowledge sources.
Specification for the book of courses
Specification for the book of courses
Elective Block for all Moduls (2 out of 30)
The name of the course: Advanced Software Engineering
Code: 3MRZ1I01
Number of classes per week:
Code: 3MRZ1I01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:A brief overview and history of software engineering. Software evolution. Software metrics. Software cost estimation. Quality management. Improving the software process. Agile methods for software development. Introduction to Scrum. User stories. Agile planning and evaluation. Configuration management. Code control systems. Software reuse. Software engineering based on components. Prototype. Developing security-sensitive software. Real-time software development.
Specification for the book of courses
Specification for the book of courses
The name of the course: Intelligent Systems
Code: 3MRZ1I02
Number of classes per week:
Code: 3MRZ1I02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Artifical intelligence systems. Complete Turing test. Inference based on unreliabale data: non-monolit inferencing, statistical methods. Bayesian networks: syntax and semantics, precise and approximate infering. Computing vision. Communication: natural language processing. Speach recognition. Natural language recognition. Speach generation. Planning and planning algorythms. Probabilistic inference. Machine learning and algorithms for machine learning. Distributed intelligence and distributed inferring systems. Application of intelligent systems in business. Business intelligence, multi-databases and OLAP. Semantic representation and commonsense knowledge. Ontologies. Examples of ontology based systems (intelligent information integration, Semantic Web).
Specification for the book of courses
Specification for the book of courses
The name of the course: Geographic Information Systems
Code: 3MRZ1I03
Number of classes per week:
Code: 3MRZ1I03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to geographic information systems (GIS). Geographic and cartographic foundations of GIS. Architecture and design GIS-a. Methods and systems for positioning. Satellite systems for global positioning - GPS (Global Positioning System). System for positioning based on wireless networks in indoor environment. Geospatial data models. Geospatial data representations and algorithms for processing. Index structures and access methods. Spatial databases. GIS architecture and design. Geo-visualization and GIS interfaces. Methods and algorithms for geospatial data analysis. Time in GIS and spatio-temporal data management. Processing and analysis of Big geospatial data. Specification and standards in geospatial and GIS domains (OGC, ISO TC 211, etc.). Web GIS and distributed GI services. Mobile GIS and location-based services.
Specification for the book of courses
Specification for the book of courses
The name of the course: Advanced Web Technologies
Code: 3MRZ1I04
Number of classes per week:
Code: 3MRZ1I04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Internet as a global resource, advanced techniques for on-line searching. Working with unstructured data. A formal description and processing XML documents (DTD, XML Schema, XML DOM, SAX, XSLT). XML and RDF specifications. Web services and SOA applications. Rest services. Choreography and orchestration of Web services. Scalability, reliability and security of Web applications. Personalizing the Web. Web 2.0 technologies. Internet as a platform. Web and mobile applications. Web management.
Specification for the book of courses
Specification for the book of courses
The name of the course: Advanced Operating Systems
Code: 3MRZ1I05
Number of classes per week:
Code: 3MRZ1I05
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Advanced concepts, algorithms, technologies and implementation of contemporary operating systems components, such as process/thread management, process synchronization and communication, memory management, U/I device drivers, file system and network services. Multimedia operating systems. Security and protection in operating systems. Distributed operating systems. System software and platforms for Bug Data processing and analysis. Operating system of mobile and embedded computers and Internet of Things systems. Operating systems for multiprocessor and parallel computing systems. Special purpose operating systems. Design and implementation of contemporary operating systems and system software. System programming of contemporary operating systems.
Specification for the book of courses
Specification for the book of courses
The name of the course: Interoperability and Information Integration
Code: 3MRZ1I06
Number of classes per week:
Code: 3MRZ1I06
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to the problem of information integration. Heterogeneity problems and solving methods: technical, syntax, semantic. Architecture for information integration. Ontology and semantic heterogeneity. Ontology construction. Semantic heterogeneity, ontology types used for information integration, ontology mapping. Interoperability of applications and systems. Approaches and platforms for the implementation of interoperability. Interoperability implementation Technologies: Enterprise Service Bus, Service-Oriented Architecture. Standards and their importance regarding the implementation of interoperability. Ontologies of Open Data and Web Portals used as access points towards integrated information. Open data and semantic interoperability of systems based on open data.
Specification for the book of courses
Specification for the book of courses
The name of the course: Computer Animation
Code: 3MRZ1I07
Number of classes per week:
Code: 3MRZ1I07
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Algorithms and programming techniques of computer animation. Algorithms and approaches to behavior animation and animation based on object physics. 2D and 3D animation. Sprites. Key Frame Technique. Animation of the face and mimics. Direct and inverse kinematics. Capture the movement. Animation in video games. Animation of the particle system. Clothing animation.
Specification for the book of courses
Specification for the book of courses
The name of the course: Requirements Engineering
Code: 3MRZ1I08
Number of classes per week:
Code: 3MRZ1I08
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction and a brief history of requirements engineering. Requirements management. Functional and non-functional requirements. Problems in the requirements specification. Use of standards in the requirements specification. Spiral model for requirement management process. Requirements elicitation. Requirements analysis. Requirements validation. Types of the requirements. Characteristics of the requirements. Fake requirements. Requirements engineering methods. DFD diagrams. Relational methods. Object-oriented methods. Formal methods. Methods based on system behavior. Use-case specification. Viewpoint-based methods. Software tools for requirements engineering.
Specification for the book of courses
Specification for the book of courses
The name of the course: Computer Network Security
Code: 3MRZ1I09
Number of classes per week:
Code: 3MRZ1I09
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:The objectives of security: data protection, data integrity, authentification. Cryptographic algorithms: public and shared keys. Key exchange protocols. Digital signature. The security aspects of different network layers. Protocols and techniques for protection against specific types of attacks. Application of security protocols in data protection. Protecting data integrity and authentication (Kerbos, SSL / TLS. IPSec, VPN, PK). Application tools and firewall for system level protection. Attacks. Computer viruses. Security of wireless networks.
Specification for the book of courses
Specification for the book of courses
The name of the course: Secure Software Design
Code: 3MRZ1I10
Number of classes per week:
Code: 3MRZ1I10
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:1. Weak points in shell scripts 2. Password coding 3. Pseudorandom numbers based applications 4. Implementation of random generators 5. Methods for the Buffer Overflow problem overcoming 6. Access control matrix implementation 7. Thread management 8. Methods against file level deadlocks 9. Input validation 10. Authentication protocols 11. Using cryptographic algorithms in software 12. Configurations - design and using 13. Problems with memory allocation and de-allocation
Specification for the book of courses
Specification for the book of courses
The name of the course: Digital Forensics
Code: 3MRZ1I11
Number of classes per week:
Code: 3MRZ1I11
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Identification, preservation and analysis of digital evidence. Basic principles, policies and methodologies of digital forensics. The legal component of digital forensics. Preparation and presentation of digital evidence in court in a proper procedure in forensic properly. Recover lost data. Password cracking and decryption of data. Forensics software. Forensics of operating system and file system. Forensics of digital devices. Network forensics. Forensics of mobile devices. Software and hardware tools for digital forensics (EnCase, Toolkit - FTK, VMware, ...).
Specification for the book of courses
Specification for the book of courses
The name of the course: Cloud Computing
Code: 3MRZ1I12
Number of classes per week:
Code: 3MRZ1I12
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Objectives and concepts of virtualization. Virtualization technologies. Hypervisor-based virtualization. Container-based virtualization. Docker. Kubernetes. Virtual services and applications. Service-oriented architectures. Methods, technologies and applications of cloud computing. Software as a Service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS). Data storage in the cloud computing. Virtual file systems. Security of cloud computing. Techniques for implementing high-reliability cloud computing. Data backup techniques. Migration of services. Resource planning. Application development in the cloud computing and open source solutions. High-performance computing on the cloud (Hadoop, MapReduce, HDFS). Hadoop open technologies: Hive, Pig, HBase, Mahout.
Specification for the book of courses
Specification for the book of courses
The name of the course: Virtualization
Code: 3MRZ1I13
Number of classes per week:
Code: 3MRZ1I13
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:What is virtualization: history, conceptualization and fundamental principles;
Types of virtualization and technologies : Server virtualization, storage space virtualization, network virtualization, application virtualization; Operating system level virtualization; Containers; Virtual Network Functions; Virtual machines and hypervisors; Resource management systems in virtulized systems. Virtualized system architectures.
Specification for the book of courses
Types of virtualization and technologies : Server virtualization, storage space virtualization, network virtualization, application virtualization; Operating system level virtualization; Containers; Virtual Network Functions; Virtual machines and hypervisors; Resource management systems in virtulized systems. Virtualized system architectures.
Specification for the book of courses
The name of the course: System Administration
Code: 3MRZ1I14
Number of classes per week:
Code: 3MRZ1I14
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Linux operating system: Fundamentals of Linux operating system from system administration perspective. Overview of the available open-source Linux distributions. Commands and languages for writing script programmes. User management. File system management. Operating system vulnerabilities. Server management - configuration documents. Activity tracking - logs. Basics of Techical Support: Technical Support basic principles, Workflows - Level 1, Level 2, Level 3 and management level. Remote location support. Virtualized system administration. Main types of virtualization and available technologies. Container-based system. Virtual machine-based systems. Virtualized network management.
Specification for the book of courses
Specification for the book of courses
The name of the course: Cryptography
Code: 3MRZ1I15
Number of classes per week:
Code: 3MRZ1I15
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:History and overview of cryptography. Mathematical background. Basic symmetric-key encryption. Stream ciphers. Block ciphers. DES – The Data Encryption Standard. AES – The Advanced Encryption Standard. Asymmetric cryptography using public-private key pair. Hash Functions and Data Integrity. Digital signature schemes. RSA signatures. The "Hash-and-Sign" Paradigm. Certificates and Public-Key Infrastructures. Secure Socket Layer (SSL) and Transport Layer Security (TLS) standards.
Specification for the book of courses
Specification for the book of courses
The name of the course: High-performance Computing
Code: 3MRZ1I16
Number of classes per week:
Code: 3MRZ1I16
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Overview of advanced concepts, methods and techniques in high-performance computing (HPC High Performance Computing). High-performance computing in distributed environment on the network of workstations (cluster), grid and cloud computing. High-performance computing on multi-core computers with shared memory and many-core architectures, such as graphics processing unit (GPU). High-performance computing on hybrid architectures. Modern technologies to achieve high performance (CUDA/OpenCL, OpenACC, Thrust biblioteka, OpenMP, Intel TBB, MPI, Hadoop MapReduce). Performance analysis, assessment and improvement (execution time, energy consumption and programming effort for program parallelization ) of HPC systems using appropriate tools. HPC applications in geographical information systems (GIS), image processing, environmental protection, business systems, bioinformatics, etc.
Specification for the book of courses
Specification for the book of courses
The name of the course: Computer Simulation
Code: 3MRZ1I17
Number of classes per week:
Code: 3MRZ1I17
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Basics of computer simulation. General approach to system simulation. Mathematical basics of the simulation system. Mathematical modeling of physical processes and sensor data. Stochastic and deterministic approach in simulation. Continuous and discrete simulations. Efficient data structures and simulation algorithms. Access via differential algebraic equations. Local and distributed simulations. Discrete event simulation (DES). Aggregate Level Simulation Protocol (ALSP), Distributed Interactive Simulation (DIS), High Level Architecture (HLA). Introduction to 3D software. 3D simulations in real time. Parallel algorithms in simulation systems. Optimization of hardware for simulation machines.
Specification for the book of courses
Specification for the book of courses
The name of the course: Application of Multiple Valued Logic in Representation and Processing of Digital Signals
Code: 3MRZ1I18
Number of classes per week:
Code: 3MRZ1I18
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Multiple-Valued Logic Functions and Applications. Functional Expressions for Multiple-Valued Functions. Spectral Representations of Multiple-Valued Functions. Decision Diagrams for Multiple-Valued Functions. Fast Calculation Algorithms. Algorithms for Calculations of Multiple-Valued functions Transforms on Graphical Processors.
Specification for the book of courses
Specification for the book of courses
The name of the course: Semantic Web
Code: 3MRZ1I19
Number of classes per week:
Code: 3MRZ1I19
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction: structure, syntax and semantics; need for semantics on the Web. Meta-programming: Metadata, XML Schema, XSLT, RDF. Semantics: The semantics and knowledge, Ontologies, Logic; Reasoning; Domain modeling; Context. Distributed Knowledge: Classification; Knowledge based protocols; Technologies: Tools for working with ontologies; software (API) for working with ontologies, OWL, Methodologies: Methodologies for ontology engineering methodologies of the introduction of knowledge management, semantic systems development methodology; semantic systems: semantic Web Services and semantic Web Portals, Semantic Wiki, Semantic Multi-agent systems, Semantic Web browsers, ... Applications: Big Data analytics and search, Business intelligence, Intelligence in Web application development, Intelligent virtualization of computing infrastrucures.
Specification for the book of courses
Specification for the book of courses
The name of the course: Methods and Techniques of the Image Processing
Code: 3MRZ1I20
Number of classes per week:
Code: 3MRZ1I20
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Principles of image digitization. Quantity of the image in the original and transformation domain. Statistical models of picture and noise. Transformation of the image. Discrete representations of image transformations. Methods for filtering in the original and transformation domain. Quantification. Image restoration: Linear filters. Image restoration and segmentation: nonlinear filters. Methods for improving the image quality. Image compression. Efficient algorithms for image processing. Processing scanned documents. OCR systems.
Specification for the book of courses
Specification for the book of courses
The name of the course: Medical Information Systems
Code: 3MRZ1I21
Number of classes per week:
Code: 3MRZ1I21
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:1. Introduction to medical information systems 2. Data quality 3. Standards and legislature 4. Comparison of existing systems 5. Medical information system design specificities 6. Aspects of system implementation 7. System and data security 8. Overview on implementation technologies 9. System installation and deployment phase 10. System exploitation phase 11. System interoperability 12. Telemedicine 13. Decision support systems 14. Medical information system project management
Specification for the book of courses
Specification for the book of courses
The name of the course: Advanced Learning Technologies
Code: 3MRZ1I22
Number of classes per week:
Code: 3MRZ1I22
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Learning paradigms; instructivist and constructivist approach. Instructional design and use of technology resources in instructional design. Formal and non-formal learning environments – games, e-learning, computer supported collaborative learning, problem-based and project-based learning, learning through social interaction. Computerized testing – standardized, adaptive and informal testing. Standard formats for presentation of learning material.
Specification for the book of courses
Specification for the book of courses
The name of the course: Command and Control Information Systems
Code: 3MRZ1I23
Number of classes per week:
Code: 3MRZ1I23
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Historical overview of the development of command & control information systems (C2IS). The basic functionality of C2IS. C2IS architecture. Standards in the area of C2IS. Communication in C2IS. Integration with GIS. The use of GPS technology in C2IS. Sensor integration. Data fusion. Tracking of mobile objects. Reporting in C2IS. Support for decision making. Application areas of C2IS. Military C2IS. C2IS for weather modification.
Specification for the book of courses
Specification for the book of courses
The name of the course: Data Mining Techniques and Methods
Code: 3MRZ1I24
Number of classes per week:
Code: 3MRZ1I24
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Data mining goal and application. Types of datasets and attributes. Data quality problems. Data preprocessing. Exploratory data analysis, summary statistics, data visualization. Classification of data mining algorithms. Linear regression. Classification algorithms: decission trees, Naive Bayes algorithm, SVM. Classificator evaluation. Clustering algorrithms: K-means, hierarchical clausterization. Associative analysis. Algorithms for associative rules generation.
Specification for the book of courses
Specification for the book of courses
The name of the course: Big Data Systems
Code: 3MRZ1I25
Number of classes per week:
Code: 3MRZ1I25
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to Big Data. Fundamental principles, methods and technologies for storage, processing, and analysis of large-scale data (Big Data), as well as machine learning and mining over Big Data. Distributed file systems and distributed databases for Big Data storage. Software frameworks and platforms for management, processing and analysis of Big Data. Data stream and complex event management and processing systems. Big Data visualization and visual analysis. Big Data management and analysis in Internet of Things and ubiquitous computing. Cloud computing and Big Data processing in cloud, fog and edge. Open source technologies and software platforms for distributed processing and analysis of Big Data. Analysis, design, implementation and evaluation of systems and applications for Big Data processing and analysis. Contemporary applications based on Big Data systems for in smart cities, intelligent transportation, Internet of Things, social networks/media, geo-spatial systems, etc.
Specification for the book of courses
Specification for the book of courses
The name of the course: Web Mining
Code: 3MRZ1I26
Number of classes per week:
Code: 3MRZ1I26
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to Web mining. Web Document specifics. Techniques for analyzing the content of Web documents. Identify the document theme and document term rank. Classification and clustering of documents. Analysis of Web structure, ranking documents by relevance. Website ranking improvement techniques. Web access analysis. Detection of Web site user behavior patterns. Recommendation systems. Web visualization.
Specification for the book of courses
Specification for the book of courses
The name of the course: Pattern Recognition
Code: 3MRZ1I27
Number of classes per week:
Code: 3MRZ1I27
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Systems for identifying samples, registering and measuring object characteristics. Data acquisition, preprocessing and signal representation. Reducing complexity and classification. Statistic methods for pattern recognition. Classification based on minimal error. Classification based on maximum similarity. EM-algorithm. SVM (Support Vector Machine) classifiers. Stochastic finite automata and discrete Markov models. Hidden Markov models. Real-time visual recognition systems. Systems for processing and recognizing digital images and scanned documents. OCR systems. Examples of applying pattern recognition.
Specification for the book of courses
Specification for the book of courses
The name of the course: Data Visualization
Code: 3MRZ1I28
Number of classes per week:
Code: 3MRZ1I28
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Types of data. Data visualization principles. Perception. Optical illusions. Tables, charts, trees, graphs, treemap. Visualization of multivariate data. Animations, multimedia presentations. Visualization of social networks. Visualization of medical data, Visualization of economic data. Weather series. Visualization of GIS data. Visualization of the process. Visualization tools and environments (Excel, Tableau, R). Visualization and data analysis. BI environments.
Specification for the book of courses
Specification for the book of courses
The name of the course: Methods of optimization
Code: 3MRZ1I29
Number of classes per week:
Code: 3MRZ1I29
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Real multivariable functions. Partial derivatives, gradient, hessian. Local, constrained and global extrema.Taylor formula. Elements of convex analysis. General optimization problem. Linear programming. Duality. Simplex method. Nonlinear programming. Searching and gradient methods. Constrained optimization: optimality conditions. Penalty functions method.
Specification for the book of courses
Specification for the book of courses
The name of the course: Machine Learning
Code: 3MRZ1I30
Number of classes per week:
Code: 3MRZ1I30
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to machine learning, approaches and types of machine learning. The role of machine learning for the realization of intelligent systems, the role in the big data analysis. Algorithmic learning models. Statistical approaches. Classifiers, functions, relationships, probability models. Bayesian environments. Decision trees, neural networks, support vector machines, Bayesian networks, bag of words classifiers, N-gram models, Markov and Hidden Markov models. Associative rules, nearest neighbor classifiers. Reduction of dimensionality and visualization. Clustering, k-means clustering, hierarchical clustering, distribution clustering. Reinforcement learning. Learning from heterogeneous distributed data and knowledge sources.
Specification for the book of courses
Specification for the book of courses
Obligatory
The name of the course: Study and Research Work
Code:3MRZ1OSR
Number of classes per week:
Code:3MRZ1OSR
Number of classes per week:
- Lectures: 0
- Exercises: 0
ECTS: 10
Course outline:It is performed individually, in accordance with requirements of a specific master thesis, its complexity and structure. According to student's preferences and inclinations, he / she chooses the field of study and the subject teacher from the list of teachers in the study program. The chosen teacher defines the topic and the specific task for a student. The student studies literature, professional and scientific papers dealing with similar topics, performs analyses in order to find a solution for the specific problem, or performs certain experiments in the laboratory. The study includes active monitoring of primary knowledge, organization and performance of experiments, numerical simulations and statistical data processing, preparation of seminar paper from the field to which the topic of the study and research work belongs.
Specification for the book of courses
Specification for the book of courses
2. semester
Elective Block for Modul SE (1 out of 4)
The name of the course: Database Management Systems
Code: 3MRS2B01
Number of classes per week:
Code: 3MRS2B01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to database management systems (DBMS). The role and responsibilities of database administrator. Database management system: architecture, basic modules nad functions, examples of such systems. Physical database design and tuning. Stored procedures. Triggers: term, purpose and trigger usage, syntax of command for creating trigger, trigger types and granularity, row level and expression level triggers, timetable of trigger executions. Query processing and optimization: the term of query optimization, statical and dynamical optimization, system catalogue, database statistics and optimization, index structures and multidimensional indices. DBMS security: the term of DBMS security, user privilegies - assigning and deprivation (GRANT and REVOKE commands), privilegies propagation, securityat view level, statistical databases, DAC and MAC security mechanisms. Database recovery. Modern DBMS trends: cloud databases, distributed databases and big data.
Specification for the book of courses
Specification for the book of courses
The name of the course: Intelligent Transportation Systems
Code: 3MRS2B02
Number of classes per week:
Code: 3MRS2B02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Common conceptual foundations: data models, information and knowledge, the basic technologies (Internet, databases, artificial intelligence, information retrieval), business aspects, mathematical basics. Intelligent databases, deductive and active databases, intelligent information retrieval. Web and Intelligent Information Systems: Web 2.0, Semantic Web, Social Networks, Collaborative Systems, and expandable network of small diameter. Programming at the level of the end user. Architecture of intelligent information systems: service-oriented and multi-agent architectures. Information retrival and navigation: Web agents, data collection from the web "crawling" Intelligent Web Tools, Web search engines and issue of semantics. Information management, information flow, integration and semistructured information resources, XML and RDF based information presentations.
Specification for the book of courses
Specification for the book of courses
The name of the course: Ubiquitous Computing
Code: 3MRS2B03
Number of classes per week:
Code: 3MRS2B03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to mobile and ubiquitous computing. Contemporary mobile and ubiquitous computing, communication and sensor systems and devices. Wireless and ad-hoc networks and wireless network protocols. Internet of Things (IoT) and Web of Things (WoT). Acquisition and processing of sensor data. Mobile positioning technologies and location-based systems applications. Context recognition and development of ubiquitous context-aware systems and services. Smart objects, spaces and adaptive systems. Management and analysis of Big data in mobile and ubiquitous systems. IoT systems and services on edge, fog and cloud computing. Privacy and security ion mobile and ubiquitous systems and IoT. Advanced mobile and ubiquitous applications and IoT systems: smart home, smart and autonomous vehicles, ubiquitous health care, smart mobility and traffic, smart industry, etc.
Specification for the book of courses
Specification for the book of courses
The name of the course: Virtual and Augmented Reality Systems
Code: 3MRS2B04
Number of classes per week:
Code: 3MRS2B04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to the field of virtual and augmented and historical context. System architecture for virtual reality. Input and Output Devices for Virtual Reality. Gesture and haptic interface. Geometric modeling of virtual objects. Kinematic and physical modeling. Virtual worlds. Positioning the augmented reality in the continuum between the real world and the virtual reality. Classification of the augmented reality system. Techniques for estimating the viewer's pose in the augmented reality system. Augmented virtual environments. Application domains and examples of the virtual and augmented reality system.
Specification for the book of courses
Specification for the book of courses
Elective Block for Modul CSS (1 out of 6)
The name of the course: Database Management Systems
Code: 3MRB2B01
Number of classes per week:
Code: 3MRB2B01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to database management systems (DBMS). The role and responsibilities of database administrator. Database management system: architecture, basic modules nad functions, examples of such systems. Physical database design and tuning. Stored procedures. Triggers: term, purpose and trigger usage, syntax of command for creating trigger, trigger types and granularity, row level and expression level triggers, timetable of trigger executions. Query processing and optimization: the term of query optimization, statical and dynamical optimization, system catalogue, database statistics and optimization, index structures and multidimensional indices. DBMS security: the term of DBMS security, user privilegies - assigning and deprivation (GRANT and REVOKE commands), privilegies propagation, securityat view level, statistical databases, DAC and MAC security mechanisms. Database recovery. Modern DBMS trends: cloud databases, distributed databases and big data.
Specification for the book of courses
Specification for the book of courses
The name of the course: Management of IT Resources and Services
Code: 3MRB2B02
Number of classes per week:
Code: 3MRB2B02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:IT resources magement, management methods and systems. Criteria and requirements for IT resources and services in the organization (the required functionality, quality, safety, performance, cost). Capacity planning of IT resources, technical, operation and budget planning. Capacity control: methods and tools for control of technical aspects (capacity and performance of networks, servers, workstations, software licenses, human resources). Information security, operational procedures, standards and tools for information security. Operational and IT risk and compliance with regulatory requirements. IT control and audit, process level standardization: CMMI, ITIL, PSP/TSP and others. IT service life cycle, service managment, planning and management in the multiservice environment.
Specification for the book of courses
Specification for the book of courses
The name of the course: Fault Tolerant Systems
Code: 3MRB2B03
Number of classes per week:
Code: 3MRB2B03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Need analysis for fault tolerant systems. Reliability, availability, security, performance, sustainability, testability. Basic definitions. Failure models. Error models. Redundancy techniques for fault tolerance. Hardware redundancy (passive, active, hybrid). Information redundancy (parity, m of n, duplication, checksums, etc.). Time redundancy. Software redundancy (consistency checks, functionality, N-version programming). Fault tolerance in cloud computing
Specification for the book of courses
Specification for the book of courses
The name of the course: Algorithms and Architectures of Dedicated Computer Systems
Code: 3MRB2B04
Number of classes per week:
Code: 3MRB2B04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Typical DSP algorithms. Presentation of algorithms. Mapping DSP algorithms into special-purpose hardware. Timing. Folding and unfolding of architectures. Systolic architectures. Compromise techniques and their application in hardware accelerators for digital signals. Power management. Consumption analysis and reduction estimations. Streaming processors. Multimedia data processing.
Specification for the book of courses
Specification for the book of courses
The name of the course: Blockchain Technologies
Code: 3MRB2B05
Number of classes per week:
Code: 3MRB2B05
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Basic blockchain concepts. Decentralization. Communication within the decentralized system. Elements of cryptography, cryptographic primitives. Public key cryptography, PKI, RSA, ECC. Hash functions, SHA-1, SHA-2, MD5. OpenSSL. Fault tolerance and consensus algorithms. Cryptocurrencies and cryptoeconomics. Public and private blockchains. Bitcoin. Digital keys and address. Transactions. Mining, CPU, GPU, FPGA, ASIC. Alternative currencies. Ethereum. Smart contracts. Programming in Ethereum. Developer Tools. Hyperlegder. Blockchain applications.
Specification for the book of courses
Specification for the book of courses
The name of the course: Computer Based Sensor Systems
Code: 3MRB2B06
Number of classes per week:
Code: 3MRB2B06
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Sensors and sensor systems. Principles of work, importance and application sensors. General structure of computer-based sensor systems. Acquisition of measurement data. Acquisition cards. Protocols for connecting cards to computer. Computer software for Data Acquisition. LabVIEW software package - features, applications, programming. Concept of virtual instrumentation. Realization of sensor systems based on LabVIEW, Raspberry Pi and FPGA platform. Analysis and processing of measurement data. Telemetry systems. Wireless sensor networks. IoT systems.
Specification for the book of courses
Specification for the book of courses
Elective Block for Modul IST (1 out of 5)
The name of the course: Spectral Techniques
Code: 3MRI2B01
Number of classes per week:
Code: 3MRI2B01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Walsh, Haar, arithmetic transform, Reed-Muller transform for binary-valued functions and Vilenkin-Chrestenson transform, generalized Haar, and other related transforms for multiple-valued functions
Polynomial expressions and decision diagram representations for switching and multiple-value functions. Spectral analysis of Boolean functions. Spectral synthesis and optimization of combinational and sequential devices. Spectral methods in analysis and synthesis of reliable devices. Spectral techniques for testing computer hardware
Specification for the book of courses
Polynomial expressions and decision diagram representations for switching and multiple-value functions. Spectral analysis of Boolean functions. Spectral synthesis and optimization of combinational and sequential devices. Spectral methods in analysis and synthesis of reliable devices. Spectral techniques for testing computer hardware
Specification for the book of courses
The name of the course: Advanced Techniques in 3D Modeling and Animation
Code: 3MRI2B02
Number of classes per week:
Code: 3MRI2B02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:3D Layout - Scenes in 3D software. Basics of rendering. Mental Ray - Antialiasing, GI, Final Gather. Mental ray Shaders: Mia X Pass, SSS, Illumination Shaders, Displacement, Ambient Occlusion. Mental Ray - Render Layers, Render Passes, Contribution maps. Hardware render. Lighting. Optimizing rendering. The basics of computer animation. Rendering animation. Modeling the camera path. Digital Directing Animation. Planning and organizing the project of digitally generated and animated film. Technical development of the project.
Specification for the book of courses
Specification for the book of courses
The name of the course: Intelligent Information Systems
Code: 3MRI2B03
Number of classes per week:
Code: 3MRI2B03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Common conceptual foundations: data models, information and knowledge, the basic technologies (Internet, databases, artificial intelligence, information retrieval), business aspects, mathematical basics. Intelligent databases, deductive and active databases, intelligent information retrieval. Reasoning. Web and Intelligent Information Systems: Ontologies, Linked Data, Semantic Web, Social Networks, Collaborative Systems, and expandable network of small diameter. Programming at the level of the end user. Architecture of intelligent information systems: service-oriented and multi-agent architectures. Knowledge based systems. Information retrival and navigation: Web agents, data collection from the web "crawling" Intelligent Web Tools, Web search engines and issue of semantics. Information management, information flow, integration and semistructured information resources, XML and RDF based information presentations.
Specification for the book of courses
Specification for the book of courses
The name of the course: Information Technologies for Development of E-Government Systems
Code: 3MRI2B04
Number of classes per week:
Code: 3MRI2B04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Getting acquainted with the basic concepts of e-Government system. History of e-government development. Analysis of key aspects of e-Government: data, e-services, applications, infrastructure. Data management in e-government systems: models and databases, data mining techniques, ontologies, semantic analysis. Open data and open data platforms. Analysis of the open data portals in e-Government. Aspects of integration of information: service-oriented architecture, Web services. Development of back-office and front-office applications. Current issues of e-Government infrastructure development: cloud technology.
Specification for the book of courses
Specification for the book of courses
The name of the course: Fuzzy Logic
Code: 3MRI2B05
Number of classes per week:
Code: 3MRI2B05
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction, evolution from classical to Fuzzy logic, types of predicates. T-norms, t-conorms and negations. Fuzzy subsets. Logic consistency and inconsistency in F (E). Linguistic modifiers. Possibility measures. Aggregation functions. Fuzzy implications. Compositional Rule of Inference. Fuzzy quantifiers. Fuzzy reasoning. An Introduction to Fuzzy Control
Specification for the book of courses
Specification for the book of courses
Elective Block for Modul DE (1 out of 4)
The name of the course: Natural Language Processing
Code: 3MRP2B01
Number of classes per week:
Code: 3MRP2B01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to NLP. Text tokenizing. Word normalization: stemming and lematization. Type errors correcting, minimum edit distance algorithm. Sentence segmentation. Statistical language models. N-gram model. Part-of-speach tagging. Syntax analisys. CKY algorithm. Semantic analysis. Syntax-directed semantic analysis. Semantic grammars. Information extraction. Applications based on natural language processing. Sentiment analysis. Question answering systems. Machine translation. Text summarization.
Specification for the book of courses
Specification for the book of courses
The name of the course: Social Networks Analysis
Code: 3MRP2B02
Number of classes per week:
Code: 3MRP2B02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Common conceptual foundations: data models, basic technologies, mathematical basics. HITS and PageRank based algorithms. Similarity and communities in social networks. Information extraction and analysis in social networks (Social tagging, extraction from content, blog search, intellignet web crowling). Intelligent search. Recommendation, filtering and ranking. Characteristics identification. Advanced classification on social networks.
Specification for the book of courses
Specification for the book of courses
The name of the course: Business Intelligence
Code: 3MRP2B03
Number of classes per week:
Code: 3MRP2B03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:The basic principles of business intelligence. History, importance and scope of business intelligence. Multidimensional database. OLAP cubes creation. Data extraction. Data cleansing. Transform and import data into OLAP cubes. BI analytics. MDX (Multidimensional Expressions) - the language of multi-dimensional expressions. Methods and types of reporting. Data visualization.
Specification for the book of courses
Specification for the book of courses
The name of the course: Deep Learning
Code: 3MRP2B04
Number of classes per week:
Code: 3MRP2B04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to the deep learning and historical context. A model of the artificial neuron and artificial neural networks. Neural network training, loss function and parameter optimization. Backpropagation algorithm. Convolutional neural networks. Activation functions, initialization of parameters, dropout, batch normalization. Updating training parameters, network ensembles and voting, data augmentation, transfer learning. Hardware and software for deep learning. Architectures of Convolutional Neural Networks (AlexNet, VGG, GoogLetNet, ResNet, ...). Recurrent neural networks. Semantic segmentation, object detection, separation of instances. Generative models, auto-encoders, Generative Adversarial Networks (GAN). Visualization and understanding of deep neural networks. Deep reinforcement learning.
Specification for the book of courses
Specification for the book of courses
Elective Block for all Moduls (1 out of 18)
The name of the course: Intelligent Transportation Systems
Code: 3MRZ2I01
Number of classes per week:
Code: 3MRZ2I01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Common conceptual foundations: data models, information and knowledge, the basic technologies (Internet, databases, artificial intelligence, information retrieval), business aspects, mathematical basics. Intelligent databases, deductive and active databases, intelligent information retrieval. Web and Intelligent Information Systems: Web 2.0, Semantic Web, Social Networks, Collaborative Systems, and expandable network of small diameter. Programming at the level of the end user. Architecture of intelligent information systems: service-oriented and multi-agent architectures. Information retrival and navigation: Web agents, data collection from the web "crawling" Intelligent Web Tools, Web search engines and issue of semantics. Information management, information flow, integration and semistructured information resources, XML and RDF based information presentations.
Specification for the book of courses
Specification for the book of courses
The name of the course: Ubiquitous Computing
Code: 3MRZ2I02
Number of classes per week:
Code: 3MRZ2I02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to mobile and ubiquitous computing. Contemporary mobile and ubiquitous computing, communication and sensor systems and devices. Wireless and ad-hoc networks and wireless network protocols. Internet of Things (IoT) and Web of Things (WoT). Acquisition and processing of sensor data. Mobile positioning technologies and location-based systems applications. Context recognition and development of ubiquitous context-aware systems and services. Smart objects, spaces and adaptive systems. Management and analysis of Big data in mobile and ubiquitous systems. IoT systems and services on edge, fog and cloud computing. Privacy and security ion mobile and ubiquitous systems and IoT. Advanced mobile and ubiquitous applications and IoT systems: smart home, smart and autonomous vehicles, ubiquitous health care, smart mobility and traffic, smart industry, etc.
Specification for the book of courses
Specification for the book of courses
The name of the course: Virtual and Augmented Reality Systems
Code: 3MRZ2I03
Number of classes per week:
Code: 3MRZ2I03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to the field of virtual and augmented and historical context. System architecture for virtual reality. Input and Output Devices for Virtual Reality. Gesture and haptic interface. Geometric modeling of virtual objects. Kinematic and physical modeling. Virtual worlds. Positioning the augmented reality in the continuum between the real world and the virtual reality. Classification of the augmented reality system. Techniques for estimating the viewer's pose in the augmented reality system. Augmented virtual environments. Application domains and examples of the virtual and augmented reality system.
Specification for the book of courses
Specification for the book of courses
The name of the course: Management of IT Resources and Services
Code: 3MRZ2I04
Number of classes per week:
Code: 3MRZ2I04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:IT resources magement, management methods and systems. Criteria and requirements for IT resources and services in the organization (the required functionality, quality, safety, performance, cost). Capacity planning of IT resources, technical, operation and budget planning. Capacity control: methods and tools for control of technical aspects (capacity and performance of networks, servers, workstations, software licenses, human resources). Information security, operational procedures, standards and tools for information security. Operational and IT risk and compliance with regulatory requirements. IT control and audit, process level standardization: CMMI, ITIL, PSP/TSP and others. IT service life cycle, service managment, planning and management in the multiservice environment.
Specification for the book of courses
Specification for the book of courses
The name of the course: Fault Tolerant Systems
Code: 3MRZ2I05
Number of classes per week:
Code: 3MRZ2I05
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Need analysis for fault tolerant systems. Reliability, availability, security, performance, sustainability, testability. Basic definitions. Failure models. Error models. Redundancy techniques for fault tolerance. Hardware redundancy (passive, active, hybrid). Information redundancy (parity, m of n, duplication, checksums, etc.). Time redundancy. Software redundancy (consistency checks, functionality, N-version programming). Fault tolerance in cloud computing
Specification for the book of courses
Specification for the book of courses
The name of the course: Algorithms and Architectures of Dedicated Computer Systems
Code: 3MRZ2I06
Number of classes per week:
Code: 3MRZ2I06
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Typical DSP algorithms. Presentation of algorithms. Mapping DSP algorithms into special-purpose hardware. Timing. Folding and unfolding of architectures. Systolic architectures. Compromise techniques and their application in hardware accelerators for digital signals. Power management. Consumption analysis and reduction estimations. Streaming processors. Multimedia data processing.
Specification for the book of courses
Specification for the book of courses
The name of the course: Blockchain Technologies
Code: 3MRZ2I07
Number of classes per week:
Code: 3MRZ2I07
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Basic blockchain concepts. Decentralization. Communication within the decentralized system. Elements of cryptography, cryptographic primitives. Public key cryptography, PKI, RSA, ECC. Hash functions, SHA-1, SHA-2, MD5. OpenSSL. Fault tolerance and consensus algorithms. Cryptocurrencies and cryptoeconomics. Public and private blockchains. Bitcoin. Digital keys and address. Transactions. Mining, CPU, GPU, FPGA, ASIC. Alternative currencies. Ethereum. Smart contracts. Programming in Ethereum. Developer Tools. Hyperlegder. Blockchain applications.
Specification for the book of courses
Specification for the book of courses
The name of the course: Computer Based Sensor Systems
Code: 3MRZ2I08
Number of classes per week:
Code: 3MRZ2I08
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Sensors and sensor systems. Principles of work, importance and application sensors. General structure of computer-based sensor systems. Acquisition of measurement data. Acquisition cards. Protocols for connecting cards to computer. Computer software for Data Acquisition. LabVIEW software package - features, applications, programming. Concept of virtual instrumentation. Realization of sensor systems based on LabVIEW, Raspberry Pi and FPGA platform. Analysis and processing of measurement data. Telemetry systems. Wireless sensor networks. IoT systems.
Specification for the book of courses
Specification for the book of courses
The name of the course: Spectral Techniques
Code: 3MRZ2I09
Number of classes per week:
Code: 3MRZ2I09
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Walsh, Haar, arithmetic transform, Reed-Muller transform for binary-valued functions and Vilenkin-Chrestenson transform, generalized Haar, and other related transforms for multiple-valued functions
Polynomial expressions and decision diagram representations for switching and multiple-value functions. Spectral analysis of Boolean functions. Spectral synthesis and optimization of combinational and sequential devices. Spectral methods in analysis and synthesis of reliable devices. Spectral techniques for testing computer hardware
Specification for the book of courses
Polynomial expressions and decision diagram representations for switching and multiple-value functions. Spectral analysis of Boolean functions. Spectral synthesis and optimization of combinational and sequential devices. Spectral methods in analysis and synthesis of reliable devices. Spectral techniques for testing computer hardware
Specification for the book of courses
The name of the course: Advanced Techniques in 3D Modeling and Animation
Code: 3MRZ2I10
Number of classes per week:
Code: 3MRZ2I10
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:3D Layout - Scenes in 3D software. Basics of rendering. Mental Ray - Antialiasing, GI, Final Gather. Mental ray Shaders: Mia X Pass, SSS, Illumination Shaders, Displacement, Ambient Occlusion. Mental Ray - Render Layers, Render Passes, Contribution maps. Hardware render. Lighting. Optimizing rendering. The basics of computer animation. Rendering animation. Modeling the camera path. Digital Directing Animation. Planning and organizing the project of digitally generated and animated film. Technical development of the project.
Specification for the book of courses
Specification for the book of courses
The name of the course: Intelligent Information Systems
Code: 3MRZ2I11
Number of classes per week:
Code: 3MRZ2I11
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Common conceptual foundations: data models, information and knowledge, the basic technologies (Internet, databases, artificial intelligence, information retrieval), business aspects, mathematical basics. Intelligent databases, deductive and active databases, intelligent information retrieval. Reasoning. Web and Intelligent Information Systems: Ontologies, Linked Data, Semantic Web, Social Networks, Collaborative Systems, and expandable network of small diameter. Programming at the level of the end user. Architecture of intelligent information systems: service-oriented and multi-agent architectures. Knowledge based systems. Information retrival and navigation: Web agents, data collection from the web "crawling" Intelligent Web Tools, Web search engines and issue of semantics. Information management, information flow, integration and semistructured information resources, XML and RDF based information presentations.
Specification for the book of courses
Specification for the book of courses
The name of the course: Information Technologies for Development of E-Government Systems
Code: 3MRZ2I12
Number of classes per week:
Code: 3MRZ2I12
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Getting acquainted with the basic concepts of e-Government system. History of e-government development. Analysis of key aspects of e-Government: data, e-services, applications, infrastructure. Data management in e-government systems: models and databases, data mining techniques, ontologies, semantic analysis. Open data and open data platforms. Analysis of the open data portals in e-Government. Aspects of integration of information: service-oriented architecture, Web services. Development of back-office and front-office applications. Current issues of e-Government infrastructure development: cloud technology.
Specification for the book of courses
Specification for the book of courses
The name of the course: Fuzzy Logic
Code: 3MRZ2I13
Number of classes per week:
Code: 3MRZ2I13
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction, evolution from classical to Fuzzy logic, types of predicates. T-norms, t-conorms and negations. Fuzzy subsets. Logic consistency and inconsistency in F (E). Linguistic modifiers. Possibility measures. Aggregation functions. Fuzzy implications. Compositional Rule of Inference. Fuzzy quantifiers. Fuzzy reasoning. An Introduction to Fuzzy Control
Specification for the book of courses
Specification for the book of courses
The name of the course: Database Management Systems
Code: 3MRZ2I14
Number of classes per week:
Code: 3MRZ2I14
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to database management systems (DBMS). The role and responsibilities of database administrator. Database management system: architecture, basic modules nad functions, examples of such systems. Physical database design and tuning. Stored procedures. Triggers: term, purpose and trigger usage, syntax of command for creating trigger, trigger types and granularity, row level and expression level triggers, timetable of trigger executions. Query processing and optimization: the term of query optimization, statical and dynamical optimization, system catalogue, database statistics and optimization, index structures and multidimensional indices. DBMS security: the term of DBMS security, user privilegies - assigning and deprivation (GRANT and REVOKE commands), privilegies propagation, securityat view level, statistical databases, DAC and MAC security mechanisms. Database recovery. Modern DBMS trends: cloud databases, distributed databases and big data.
Specification for the book of courses
Specification for the book of courses
Назив предмета: Процесирање природних језика
Шифра предмета: 3МРЗ2И15
Број часова недељно:
Шифра предмета: 3МРЗ2И15
Број часова недељно:
- предавања: 2
- вежбе: 1
- други облици наставе: 0
ЕСПБ: 4
Градиво:Појам и задаци обраде природних језика. Издвајање речи. Нормализација речи. Алгоритми за исправљање грешака у писању речи. Сегментација реченице. Статистички модели језика. N-грам модел. Одређивање врсте речи. Синтаксна анализа природних језика. Стохастичке бесконтексне граматике. CKY алгоритам за синтаксну анализу. Семантичка анализа природних језика. Представљање значења помоћу логике предиката првог реда. Синтаксно-управљана семантичка анализа. Семантичке граматике. Екстракција информација. Апликације базиране на обради природних језика: анализа утисака, системи за одговарање на питања, сзмаризација текста.
Спецификација предмета за листу предмета
Спецификација предмета за листу предмета
The name of the course: Natural Language Processing
Code: 3MRZ2I15
Number of classes per week:
Code: 3MRZ2I15
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to NLP. Text tokenizing. Word normalization: stemming and lematization. Type errors correcting, minimum edit distance algorithm. Sentence segmentation. Statistical language models. N-gram model. Part-of-speach tagging. Syntax analisys. CKY algorithm. Semantic analysis. Syntax-directed semantic analysis. Semantic grammars. Information extraction. Applications based on natural language processing. Sentiment analysis. Question answering systems. Machine translation. Text summarization.
Specification for the book of courses
Specification for the book of courses
The name of the course: Social Networks Analysis
Code: 3MRZ2I16
Number of classes per week:
Code: 3MRZ2I16
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Common conceptual foundations: data models, basic technologies, mathematical basics. HITS and PageRank based algorithms. Similarity and communities in social networks. Information extraction and analysis in social networks (Social tagging, extraction from content, blog search, intellignet web crowling). Intelligent search. Recommendation, filtering and ranking. Characteristics identification. Advanced classification on social networks.
Specification for the book of courses
Specification for the book of courses
The name of the course: Business Intelligence
Code: 3MRZ2I17
Number of classes per week:
Code: 3MRZ2I17
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:The basic principles of business intelligence. History, importance and scope of business intelligence. Multidimensional database. OLAP cubes creation. Data extraction. Data cleansing. Transform and import data into OLAP cubes. BI analytics. MDX (Multidimensional Expressions) - the language of multi-dimensional expressions. Methods and types of reporting. Data visualization.
Specification for the book of courses
Specification for the book of courses
The name of the course: Deep Learning
Code: 3MRZ2I18
Number of classes per week:
Code: 3MRZ2I18
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to the deep learning and historical context. A model of the artificial neuron and artificial neural networks. Neural network training, loss function and parameter optimization. Backpropagation algorithm. Convolutional neural networks. Activation functions, initialization of parameters, dropout, batch normalization. Updating training parameters, network ensembles and voting, data augmentation, transfer learning. Hardware and software for deep learning. Architectures of Convolutional Neural Networks (AlexNet, VGG, GoogLetNet, ResNet, ...). Recurrent neural networks. Semantic segmentation, object detection, separation of instances. Generative models, auto-encoders, Generative Adversarial Networks (GAN). Visualization and understanding of deep neural networks. Deep reinforcement learning.
Specification for the book of courses
Specification for the book of courses
Obligatory
The name of the course: Master Thesis – Study and Research Work
Code: 3MRZ2OSR
Number of classes per week:
Code: 3MRZ2OSR
Number of classes per week:
- Lectures: 0
- Exercises: 0
ECTS: 4
Course outline:It is performed individually, in accordance with requirements of a specific master thesis, its complexity and structure. According to student's preferences and inclinations, he / she chooses the field of study and the subject teacher from the list of teachers in the study program. The chosen teacher defines the topic and the specific task for a student. The student studies literature, professional and scientific papers dealing with similar topics, performs analyses in order to find a solution for the specific problem, or performs certain experiments in the laboratory. The study includes active monitoring of primary knowledge, organization and performance of experiments, numerical simulations and statistical data processing, preparation of seminar paper from the field to which the topic master thesis belongs.
Specification for the book of courses
Specification for the book of courses
The name of the course: Professional Practice
Code: 3MRZ2O04
Number of classes per week:
Code: 3MRZ2O04
Number of classes per week:
- Lectures: 0
- Exercises: 0
ECTS: 3
Course outline:The student learns about basic structure of the company and its business goals. Student fulfills its work obligations in accordance with the duties and responsibilities of a company's employee. Student describes his own involvement in professional practice and provides a critical review on his own experience, knowledge and skills gained during the professional practice.
Specification for the book of courses
Specification for the book of courses
The name of the course: Master Thesis
Code: 3MRZ2O05
Number of classes per week:
Code: 3MRZ2O05
Number of classes per week:
- Lectures: 0
- Exercises: 0
ECTS: 15
Course outline:Master thesis is an individual research, practical, or theoretical-methodological work of the student in accordance with the level of studies, in which he / she becomes familiar with a certain field through a literature review, and adopts research and design methodology, necessary for the creation of the thesis. Developing the thesis, the student applies the practical and theoretical knowledge acquired during the studies. In the written form, the thesis contains an introductory chapter, the problem definition, an overview of the field and of existing solutions, a proposal and a description of the solution, the conclusion and references. Public thesis defense is organized in front of a commission of three members, where one is mentor of the thesis. During the oral presentation, the candidate explains the results of his work, and answers questions of the commission members, by which the candidate demonstrates the ability of oral presentation of his project.
Specification for the book of courses
Specification for the book of courses