Informatics Engineering

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Informatics Engineering Course code: T120B613 Course title: Computer Networks Taught by: lector Tomas Musteikis Self-study 32 h Information Technology, Computer Elements, Computer Architecture,

1 Informatics Engineering Course code: T120B613 Course title: Computer Networks Taught by: lector Tomas Musteikis Self-study 32 h Information Technology, Computer Elements, Computer Architecture, Operating Systems Paper 25 % Colloquium 25 % Exam 25 % Reporting for laboratory work 25 % Introduction to computer network architecture, topology and classification. Familiarizing with network management and its components, communication tools and their characteristics, circuit and packet switching, the OSI network reference model. Analysing Application, Transport, Network, Link layers and the corresponding protocols (HTTP, FTP, DNS, E- mail protocols, UDP, TCP, and IP). Familiarizing with error detection and correction methods. Analysing network technology standards, hardware and software, addressing and routing. Providing knowledge s about LAN technologies and network reliability enhancement and protection measures. Familiarizing with network management capabilities. Network structure, packet and circuit switching, characteristics Principles of network applications and protocols Transport, Network and Link layer services in the basic principles and protocols Network reliability, security principles and their application in practice Literature 1. Kurose, James F. Computer networking : a top-down approach 2. Arne Mikalsen, Per Borgesen. Local area network management, design and security: a practical approach. 3. John R.Vacca. Wireless broadband networks handbook: 3G, LMDS & wireless Internet. 4. Behrouz A. Forouzan McGraw-Hill Forouzan. 5. Jan Axelson. Embedded ethernet and internet complete: designing and programming small devices for networking. 6. Kurose J.F., Ross K.W. Computer Networking: A Top-Down Approach 5/E, Addison-Wesley, Olifer V.G., Olifer N.A. Kompiuternyje seti. Principy, technologii, protokoly, Piter, Stallings W. Data and Computer communications. 6th edition. Prentice-Hall, Andrew Tannenbaum. Computer Networks, 3rd Edition, New Jersey: Prentice Hall PTR, Course code: P175B622 Course title: Data Security Taught by: lector Simona Ramanauskaitė Laboratory work 16 h Programming skills, data structure and operating system knowledge Reporting for laboratory work 30 % Paper 20 % Students learn about the information security objectives and the attacks against the security of information types. During the semester they go deep into cryptography, its types, use of specific security objectives they possible solutions to it. Students also learn about computer network security problems and their solutions, analyze the applicable operating systems security solutions and their practical application, go deep into a computerized data storage management and reproduction strategies. The unit has also trained with the European Union legal regulations and standards governing security systems and criteria for evaluation. -Information security targets, attacks against them and the types of solutions; -Existing security standards and their uses; -Cryptography type; -The personal and public-key cryptography, hash functions and the use of the substance; -Specific cryptographic algorithms, performance and security analysis; -Social engineering attacks, and tips on how you should behave while surfing the Internet; -Web security problems and their solutions; -Internet security systems, gaps and opportunities for the exploitation of counter-measures used; -Security source operating system problems and their solution methods and a tool for management.

2 Literature 1. Miroslav Lučinskij, Povilas Poderskis, Povilas Tumėnas. Duomenų saugos pradmenys. 2. Stuart Mcclure, Joel Scambray, George Kurtz. Apsauga nuo hakerių: tinklo saugumo palaikymo paslaptys ir sprendimai. 3. Rasa Šleževičienė. Kriptografijos įvadas: mokomoji knyga. Course code: T120B619 Course title: Information Processing Systems Taught by: assoc. professor dr. Egidijus Paliulis Information management, discrete structures, probability theory and mathematical statistics, operational computing Reporting for laboratory work 50 % Colloquium 30 % Exam 20 % Introducing to the characteristics of information, laws, classification and operations with the information. Consider continuous and discrete information processing, its particularities and processing principles. Analyse discretization (sampling), quantization, coding, filtering and correlation procedures. Introducing to the transformations of information. Consider media information processing principles. Introducing to the architecture of information processing system. Trained to understand working principles of continuous and discrete systems. Knowledge about mathematical description of systems and its modelling capabilities. Introduction to artificial neural networks. Ability to analyze and design information processing systems. Description of continuous and discrete information, its visualization and presentation techniques; Procedures of discretization (sampling), quantization, coding, filtering and correlation, its purpose and performance; Media formation methods, filtering, encryption, exclusion and identification. Image transformation, segmentation and interpretation; Components of basic information processing systems and its properties. Artificial neural networks and its usage in information processing systems; Design stages of information processing system, its techniques and particularity. Literature 1. E. C. Ifeachor, B. W. Jervis. Digital signal processing : a practical approach 2. V. K.Ingle, J. G. Proakis. Digital signal processing using MATLAB 3. Diniz, E. Da Silva, S. Netto Digital Signal Processing.- Cambridge University Press 4. S. W. Smith The Scientist and Engineer's Guide to Digital Signal Processing.- California Technical Publishing. 5. C.S.Burrus, J.H. McCleallan, A.V.Oppenheim, T.W.Parks, R.W. Schafer, H.W.Schuessler Computer-based exercises fot signal rocessing using MATLAB. Pretice-Hall. Course code: P175B636 Course title: Software Engineering Taught by: assoc. professor Asta Slotkienė Programming skills in several programming languages Reporting for labaratory work 25 % Colloquium 10 % Course Project 15 % Students are introduced to the module, the system life cycle, software development and systems theory, object-oriented modelling language UML basics. They are trained to specify, design, test and install the software and documentation, the value of the works, and software quality. Students gain the skills and system development process execution and management. Software life cycle phases and their methods; Requirements-capture techniques and features; Software design methods and strategies; Testing strategies, software quality assessment methods; Software documentation of the types and uses. Literature 1. Albertas Čaplinskas. Programų sistemų inžinerijos pagrindai 2. Michael Blaha, James Rumbaugh. Object-oriented modeling and design with UML 3. Ian Sommerville. Software engineering 4. Brian Berenbach. Software & systems requirements engineering : in practice 5. Alan Dennis, Barbara Haley Wixom, David Tegarden. Systems analysis and design with UML version 2.0 : an objectoriented approach

3 Course code: P175B644 Course title: Internet-based Technologies Taught by: lector Simona Ramanauskaitė Skills in algorithm development and object oriented programming Reporting for labaratory work 30 % Homework 20 % Main JavaScript elements. The object-oriented browser model. Addressing. Events, functions. Object control, features, actions with symbols. Dynamic web pages. Problems of their usage. PHP language, interaction between server applications and a user. Data types, their usage in web pages. Symbolic variables. Implementation of object-related programming paradigms by PHP, implementation, classes. Implementation of MySql and PHP interface. CGI technology, Perl languages in design of web pages. ASP technology, means for its implementation, libraries. Usage of data bases in application of ASP technology. Development of servlets and aplets by using Java JavaScript syntax, main elements of the operators and functions, sub-classes that apply object-oriented programming techniques, design principles. Knowledge of CGI, and ASP technology and opportunities of use of interactive web pages; realizations will be perceived (For the Visual Basic language). The purpose of the SDS, the types of principles and possibilities. Literature 1. Vitalija Keršienė, Rimantas Makarevičius, Jūratė Pauliutė, Rima Sturinė. Programavimas VBScript : Interpretuojamų programėlių diegimas tinklapiuose : laboratoriniai darbai : mokomoji knyga. 2. Rasmus Lerdorf and Kevin Tatroe ; with Bob Kaehms and Ric McGredy. Programming PHP. 3. Ann Navarro. XHTML.Učebnij kurs. 4. Clint Eccher, Eric Hunley, Erik Simmons. Profesionalus tinklalapių dizainas : metodai ir šablonas. 5. A. Vidžiūnas, V. Barzdaitis. Internetinių svetainių kūrimas. Course code: T120B012 Course title: Business Information Systems Taught by: lector Asta Drukteinienė Laboratory work 48 h Self-study 80 h Computer Networks, Databases, modeling and development of web systems Reporting for labaratory work 60 % Paper 10 % Students are introduced to the possibilities of e-business shortcomings and advantages, analyzes the modules and their application possibilities. Trained to select the appropriate hardware and software to address the challenges of e-business. Familiarized with the specific software for the organization's supply chain management and customer resource management, analysis of groupware systems. Deepened working with a database - an introduction to the transactions and their characteristics. Also introduced to the business intelligence technologies. Students are trained to design and implement the selected measures of e-business solutions through the transactions and data protection. - E-business and e-commerce concept, models; - Online payment methods; - E-business architecture elements, graphical user interface design principles; - Internet technologies for e-commerce; - Transaction concept and properties; - Business intelligence concept and technologies. Literature 1. Jonathan Groucutt and Paul Griseri. Mastering e-business. 2. Ian H. Witten, Eibe Frank. Data mining: practical machine learning tools and techniques. 3. Dave Chaffey. E-business and e-commerce management: strategy, implementation and practice 4. Narimantas Paliulis. Elektroninis verslas: raida ir modeliai: mokomoji knyga 5. IBM Redbook. SG Auksė Markevičienė ir kt. Verslas ir e-verslas. Integravimas, galimybės, metodai: mokomoji medžiaga. Course code: T120B114 Course title: Computer Elements and Architecture Taught by: lector Gvidas Mažukna Laboratory work 32 h Mathematics, physics, electronics, digital logic. Paper 4 % Reporting for labaratory work 25 %

4 Self-study 80 h Students are introduced to the basic logic functions and their simplification, familiar with the general logic schemes taught synthesis of simple finite automata, introduced to the static and dynamic memory cell structure and a computer memory system trained to distinguish between computer organization and architecture concepts. Students analyse different structures of a computer, system buses, performance assessment tools, learning how to understand the internal and cache memory, and interruption management. It also analyzes the structure of the CPU registers, the instruction cycle, the command system, address translation mechanisms, the basic input-output system; students are introduced to modern computer architecture. Laboratory work, using the logic of analysis and simulation software, learns to implement various logical functions, the general logic devicesal computing devices, and sequential schemes. With CPU simulator, execute programms written in assembly language, analyse the CPU architecture, addressing techniques, branching commands, interrupt system, arithmetic and logical operations. Simplification and realization of logical functions;; Functioning of general logic devices; Methods of synthesis and implementation of simple finite automata; Input / output systems functioning; Internal and cache memory organization techniques, an interrupt system principles; Structure of CPU and control unit; Instruction set, their classification methods, ways of addressing operands; Modern processor architecture features. Literature 1. Egidijus Kazanavičius, Pranas Kanapeckas, Antanas Mikuckas, Kęstutis Pakalniškis. Kompiuterių elementai: mokomoji knyga. 2. Vytautas Urbanavičius. Kompiuteriai ir jų architektūra: mokomoji knyga. 3. Vytautas Urbanavičius. Kompiuteriai ir jų architektūra: mokomoji knyga. 4. E William Stallings. Computer Organization and Architecture: Designing for Performance Course code: P175B620 Course title: Computer Systems Taught by: assoc. professor Asta Slotkienė Practical work 16 h Laboratory work 16 h Object-oriented programming skills. Computer network fundamentals Reporting for labaratory work 20 % Colloquium 30 % Sectional work 20 % Computer systems and their formation principles. Parmethrical evaluation of computer systems. Coding and transmition reliability icreasing methods. Data transmittion protocols, interfases, package. Addressing. Data encryption. -Computer-system concept and architecture; -Performance-evaluation methods for computer network; -The concept of service quality and service level agreement intended; -Error-control techniques on the web; -Distributed-systems architecture. Literature 1. Rimantas Plėštys. Kompiuterių tinklai: mokomoji knyga 2. Ivan Marsic. Computer Networks: Performance and Quality of Service. 3. George Coulouris, Jean Dollimore and Tim Kindberg. Distributed Systems: Concepts and Design. Fourth Edition. 4. William Stallings Data and Computer Communications 8th Edition. 5. Larry L. Peterson & Bruce S. Davie. Computer Networks - A Systems Approach--4th Edition. Course code: P175B617 Course title: Databases Taught by: assoc. professor dr. Egidijus Paliulis Information Technology, Mathematics (relational algebra), data structures, programming basics Reporting for labaratory work 30 % Colloquium 25 % Course Project 20 % Exam 25 %

5 Introducing to the usage of databases in information systems. Analyse the database physical and logical structure. Introducing to the hierarchical, network, object-oriented and relational models of database. Advanced analysis of relational database model. Study design process of relational databases and using database management systems make application for its support. Data types and characteristics, concept, evolution and architecture of database; Hierarchical, network, object oriented and relational models of database; Application of Three-level architecture in databases design; Database management systems, its purpose, structure, classification and possibilities. Literature 1. Egidijus Paliulis. Duomenų bazių projektavimo metodika ir kūrimas naudojant MySQL : mokomoji knyga ir laboratoriniai darbai. 2. Vitolis Sekliuckis, Saulius Gudas, Gintautas Garšva. Informacijos sistemos ir duomenų bazės. 3. Dalė Dzemydienė. Informacinės sistemos. Duomenų struktūros ir valdymas. 4. Romas Baronas. Duomenų bazių valdymo sistemos. 5. Romas Baronas. Duomenų bazių sistemos. 6. Bronius Paradauskas, Lina Nemuraitė. Duomenų bazės ir semantiniai modeliai : monografija. 7. Alfonsas Misevičius, Aleksas Riškus. Duomenų bazių valdymo sistema Visual FoxPro : darbas interaktyviuoju režimu ir objektinio programavimo elementai. 8. Rimantas Butleris. Informacijos sistemų konstravimas FoxPro priemonėmis. 9. Ian Gilfillan Vadovas. MySQL 4 vadovas. 10. Nielsen, Paul, Microsoft SQL server 2000 bible 11. Jeremy Allen, Charles Hornberger Vadovas. PHP 4 vadovas. 12. Programming PHP / Rasmus Lerdorf and Kevin Tatroe. Course code: P175B204 Course title: Programming with C++ Taught by: assoc. professor Marijus Bernotas Lectures 16 h Laboratory work 48 h To study this subject basic programming skills are required. Reporting for labaratory work 40 % Control work 15 % Homework 15 % Studying C++ programming language elements, realization of basic operations. Classes are investigating the development of data structures and the use of adaptation algorithms work with data. Introducing the program design: data flow analysis, program structure creation, program development and control, event control, calculation results presentation in graphical and digital form. C ++ programming language structures and their abilities Derivative data structures and their properties C ++ language text analysis and processing techniques and their properties The concept of classes, object creation and destruction, methods, objects, arrays Base and derived classes, constructors destructors, inheritance methods Operators polymorphism characteristics, polymorphism of input and output operators Identification of exceptions, error handling classes, transfer of information to them, the standard exceptions Concept of input and output flow, tools of control, flow errors, unformatted binary input output Presentation the calculation results in graphical and digital form Literature 1. Jesse Liberty. Teach Yourself C++ in 21 Days. Third edition. 2. Cay Horstmann. Computing Concepts with C++ Essentials. 3. Developer's Guide. Borland C++ Builder 6 for Windows. Borland Software Corporation 4. Quick Start. Borland C++ Builder 6 for Windows. Borland Software Corporation 5. Jonas Blonskis, Vytautas Bukšnaitis, Vacius Jusas, Romas Marcinkevičius, Alfonsas Misevičius. C++ Builder 6. Jonas Blonskis, Vytautas Bukšnaitis, Vacius Jusas, Romas Marcinkevičius, Dalius Rubliauskas. Programavimas C Jonas Blonskis, Vytautas Bukšnaitis, Vacius Jusas, Romas Marcinkevičius, Alfonsas Misevičius, Sigita Turskienė. Programavimo kalba C++ 8. Jonas Blonskis, Vytautas Bukšnaitis, Vacius Jusas, Romas Marcinkevičius, Jonas Smolinskas. Programavimo C++ Builder pavyzdžiai.

UNIVERSITY OF NEBRASKA AT OMAHA Computer Science 3550 Communication Networks

UNIVERSITY OF NEBRASKA AT OMAHA Computer Science 3550 Communication Networks 1 Course Description Information 1.1 Catalog description This course is designed to bring students up to the state of the art