Otázky k magisterské státní závěrečné zkoušce z předmětu Informační technologie

Obor: Informační management

Školní rok 2013/2014

  1. Systems thinking and systems sciences (fundamental principles of systems thinking, comparison of mechanistic and systemic approach, systems engineering definition, design of hard and soft systems, systems analysis, cybernetics, systems dynamics, general systems theory). 
  2. Systems integration (historical development, approaches, classification, data and information integrity)

3.      Information, information search (information, information process, information and Internet, information search, marking of information resources, mark-up languages, search engines, tools for information resource management, semantic web).

  1. Knowledge technologies (knowledge, types of knowledge, knowledge modelling and representation, ontology, types of ontologies, ontological modelling, languages for ontological modelling, applications).
  2. Knowledge management (knowledge hierarchy, knowledge and competitiveness, methodologies of knowledge management implementation, knowledge management frameworks, knowledge management perspectives).

6.      IT system management (information society, information strategy, managing IT, service orientation and IT services, modern approaches in managing IT, ITIL, Cobit, IT governance).

  1. Enterprise information systems (types of information systems in support of business activities, implementation of information system in enterprises, contracting information system development, outsourcing).
  2. Malware (types of malware, history, current situation and trends, principles and techniques of protection, antivirus software, firewalls, application updates and patches,  web monitoring)
  3. Data protection in PC and network environment (risks and countermeasures, securing the data transmissions, securing network components, data backup, permissions, protecting HW, security standards).
  4. Security policy of information systems (threads, risk analysis, evaluating and auditing IT assets,  annual loss expectancy, security strategy, types of countermeasures).
  5. Cryptology (cryptographic system, key, cryptographic protocol, hash function, brute force attacks, monoalphabetic and polyalphabetic ciphers, symmetric and asymmetric encryption, modern encryption systems - DES, RSA, principles of digital signature).
  6. Decision making and its computerized support (decision making process and its phases, decision making and uncertainty, bounded rationality, decision support system and its characteristics, trends in DSS tools).
  7. Data management (data warehousing, components and architecture of a data warehouse, OLAP and decision support, data mining).
  8. Modern technologies in decision making (Business Intelligence, intelligent systems for decision support, multi-criteria decision making, decision making and Internet, perspectives of management support).
  9. Multi-agent systems (definition of agent, environment, emergence, reactive agent and bio-inspired computational models, architecture of reasoning agent, applications of agents, RoboCup).
  10. Decision making in multi-agent systems (rational agent, BDI model, game theory, strategies in two players' game, prisoner’s dilemma).
  11. Communication and coordination in multi-agent system (reactive communication, speech act theory, agent communication languages, social conventions, auctions, table architecture, negotiation).

 

Literatura:

Allemang, D., Hendelr, J.: Semantic Web for the Working Ontologist. Elsevier, 2007

Buitelaar, P., Cimiano, P.: Ontology Learning and Population: Bridging the Gap between Text and Knowledge. IOS Press, 2008

Bureš V.: Systems thinking and systems sciences, Gaudeamus, 2009.

Daconta, M.C., et al.: The Semantic Web. Wiley, 2003

Ferber, J.: Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence (Addison-Wesley, 1999)

Hvorecký J., Kelemen J.: Readings in Knowledge Management, Iura Edition, 2011

Jennings, N., Wooldridge, M. (eds): Agent Technology - Foundations, Applications, and Markets (Springer, 1998)

Kimball R., Ross M., Thornthwaite W.: The Data Warehouse Lifecycle Toolkit: The Complete Guide to Dimensional Modeling. Wiley, 2008

Luck, M., Ashri, R., D`Inverno, M.: Agent-based Software Development (Artech House, 2004)

Mellor R.: Knowledge management and information systems: strategies for growing organizations. Palgrave Macmillan. 2011

Nilsson, N.: Artificial Intelligence - A New Synthesis (Morgan Kaufmann, 1998)

Orand B., Villarreal J.: Foundations of IT Service Management: The ITIL Foundations Course in a Book, CreateSpace Independent Publishing Platform, 2011

Handbook of Applied Cryptography: http://www.cacr.math.uwaterloo.ca/hac/

Russell, S., Norvig,P.: Artificial intelligence - a Modern Approach (Prentice Hall, 2003)

Schiesser R.: IT Systems Management, Prentice Hall, Boston, 2010
Staab, S., Studer, R. (Eds.): Handbook on Ontologies. Springer, 2004

Stuckenschmidt, H., van Harmelen, F.: Information Sharing on the Semantic Web. Springer, 2005

Sward D.: Measuring the Business Value of Information Technologiey, Intel Press, 2006

Turban, E. a kol.: Decision Support and Business Intelligence Systems (9th Edition), Prentice Hall, 2010

Vidal J.M.: Fundamentals of Multiagent System Textbook http://www.multiagent.com/fmas (online, 2007)

Vlassis, N.: A Concise Introduction to Multiagent Systems and Distributed AI http://staff.science.uva.nl/~mmaris/class_2006_2007/cimasdai.pdf (online, 2007)

Weiss, G: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence (MIT Press, 2000)

Wooldridge, M. (eds): An Introduction to Multi-Agent Systems (John Wiley & Sons, 2002)