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Number of found courses - 210
Course code: DatZ3065
Faculty:
Faculty of Computing
Credit pointsECTS creditsTotal contact hoursNumber of hours for lecturesNumber of hours for seminars and practical assignmentsIndependent study hours
4664164896
Course abstract:
The course gives an initial overview of the Agile Business Suite programming environment that includes the software environment for development and operation of computer-based information systems that model actual business systems. AB Suite System Modeler and Runtime are using Visual Studio .NET, SQL Server, .NET Framework on Windows XP. The course provides training in the following areas: AB Suite Philosophy and Concepts; Introduction to System Modeler; Modes of Operation; Development Environment and Structure; System Data Items; Item Attributes; Logic Commands and Tools.
Course code: DatZP037
Faculty:
Faculty of Computing
Credit pointsECTS creditsTotal contact hoursNumber of hours for lecturesNumber of hours for laboratory assignments
46646464
Course abstract:
This course provides students with the knowledge and skills necessary to configure, maintain and administer Microsoft® Windows® 2003 in various networks. This course prepare students for Microsoft certification exam "070-290: Managing and Maintaining a Microsoft Windows Server 2003 Environment" After course students can: Manage user and computer accounts. Create and manage groups. Manage access to resources. Implement and manage printing. Manage access to objects in organizational units. Implement and use Group Policy. Audit accounts and resources. Monitor system performance. Manage device drivers. Manage hard disks and data storage. Manage disaster recovery.
Course code: DatZP034
Faculty:
Faculty of Computing
Credit pointsECTS creditsTotal contact hoursNumber of hours for lecturesNumber of hours for seminars and practical assignments
23323232
Course abstract:
This course will cover an introduction into IBM-mainframe transaction management system CICS and programming for CICS environment. CICS features and limitations will be discussed by using applications in the most popular mainframe programming language COBOL. The course will include development of CICS applications for IBM mainframe. Dialog programs, work with VSAM files and DB2 database tables under control of CICS will be covered. Micro Focus Mainframe Express will be used as a development and testing environment.
Course code: DatZ4027
Faculty:
Faculty of Computing
Credit pointsECTS creditsTotal contact hoursNumber of hours for lecturesIndependent study hours
23323248
Course abstract:
The course’s aim is to introduce the mathematical foundations of the famous Google search algorithm and to show that in spite of its reputation to be difficult, it is a natural idea. This idea may be used by students for other (probably, more simple) situations in everyday practice where some search is needed.
Course code: DatZ5032
Faculty:
Faculty of Computing
Credit pointsECTS creditsTotal contact hoursNumber of hours for lecturesIndependent study hours
46646496
Course abstract:
Despite rapid development of different IT branches, programming still is one of main basic disciplines in IT education. Paradigm shifts will be discussed in this course introduction. The course covers different areas of the programming technologies. Main attention will be paid to high level object-oriented programming techniques - such as using generics (templates) and design patterns. Java and partially C++ will be used as languages to demonstrate main constructions and techniques. Aspects of functional programming paradigm in Java will be analysed. Comparison of object-oriented features in different languages will be given. Knowledge obtained in this course will be basis for other courses taught. Students will be asked to demonstrate their skills in different size programming tasks. The practical assignments in the course are aimed to provide the basic skills in object oriented design and programming.
Course code: Mate1009
Faculty:
Faculty of Computing
Credit pointsECTS creditsTotal contact hoursNumber of hours for lecturesIndependent study hours
23323248
Course abstract:
The course offers basic knowledge about the most common algebraic objects, necessary for computer science students, and supports developing of skills necessary to build mathematical proofs. Topics covered: systems of linear equations,determinants, complex numbers, matrix algebra, polynomial algebra, basic properties of fields, rings and groups. Study of linear algebra can be completed in a separate course.
Course code: DatZ3026
Faculty:
Faculty of Computing
Credit pointsECTS creditsTotal contact hoursNumber of hours for lecturesNumber of hours for seminars and practical assignments
2332604
Course abstract:
This course is devoted to relatively new scientific branch - bioinformatics. Bioinformatics use and unite knowledges of computerscience and biology. The objective of the course is to provide inkling about algorithms and algorithmic methods in bioinformatics. Following topics are considered in the course: precise and heuristics algorithms for sequence alignment, hidden Markov model, gene finding, algorithmic methods in phylogenetic, gene networks, etc.
Course code: DatZ1165
Faculty:
Faculty of Computing
Faculty of Chemistry
Credit pointsECTS creditsTotal contact hoursNumber of hours for lecturesNumber of hours for seminars and practical assignmentsNumber of hours for laboratory assignmentsIndependent study hours
6996323232144
Course abstract:
The goal of the course „Programming” is to provide with the basic knowledge about algorithms and the process of design of computer programs, as well as C++ programming skills by using structured and object-oriented paradigms.
Course code: DatZ7036
Faculty:
Faculty of Computing
Credit pointsECTS creditsTotal contact hoursNumber of hours for lecturesNumber of hours for seminars and practical assignmentsIndependent study hours
233224848
Course abstract:
The aim of this course is to give an introduction into algorithmic methods for practical solving of NP-hard problems. Traditionally an algorithmic problem is considered „solvable in practice”, when there is a polynomial time algorithm for it, and „practically unsolvable”, if the problem is NP-hard. Nevertheless in real life we are often faced with situations that we should provide at least some kind of solution for such „practically unsolvable” problems. Course introduces main methods that can be used for solving NP-hard problems – approximation algorithms, Branch-and-Bound algorithms etc as well as with examples of their practical application. However, the largest part of the course (around 60%) is devoted to probably the most promising class of methods for solving NP-hard problems that have been actively developed in recent years – parameterized algorithms. Course introduces the notions of parameterized complexity and parameterized algorithms and known methods that can be applied for construction of parameterized algorithms. In the end of the course also a brief introduction in parameterized intractability and in the hierarchy of W[t] complexity classes is given.
Course code: Mate2010
Faculty:
Faculty of Computing
Credit pointsECTS creditsTotal contact hoursNumber of hours for lectures
233264
Course abstract:
Shortist path algorithm, Ford-Fulkerson algorithm, network flow algorithms. Traveling salesman problem, spanning trees, matroids. The time complexity, Cook's theorem and other examles of NP-complete problems.
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