Faculty of Informatics and management
Bachelor Exam Requirements
Subject: Information
Technology
Academic
year 2013/2014
Information
Systems
1. Information Systems, Organizations, and Business
Processes. Definition of IS, Strategic Role of IS, Relationship Between
Organizations and IS
2. Information, Management, and Decision Making.
Managers and IS, Decision Making, Models of Decision Making, IT and its
Influence on Management
3. Ethical and Social Impact of Information Systems.
Ethics in an Information Society, Moral Dimensions of IS
4. Computers and Information Processing. System
Configuration, Computer Architecture, Computer Hardware Evolution, IT Trends
5. Information Systems Software. System SW, Application
SW, New Trends
Quantitative methods
6. Principles of statistics in business. Types of data, frequency distribution, charts. Description
of multivariate data by contingency table and scatter graph.
7. Measures of central tendency. Arithmetic mean,
median, mode. Weighted arithmetic mean. Percentiles.
8. Measures of variation. Ideas of variability of
business data, explanation and use some measures: range, standard deviation,
coefficient of variation.
9.
Fundamental principles of measuring uncertainty. Probability, random
event, complementary event, general rule of addition.
10.
Normal probability distribution: properties, parameters, application.
Standard normal distribution – transformation, use.
11.
Sampling, sample error of mean, application.
12.
Decision Trees.
Bayes` theorem.
13.
Linear
regression models. Causality, reliability of regression model, application.
14.
Linear
programming – graphical solution, simplex method.
Database Systems
15.
Architecture
and function of a database management system. Key functions of a DBMS kernel:
transactions, concurrency, locks, backup and recovery.
16.
Typology of
data models. Relations and relational database model. Basic terms definition:
domains, primary key, foreign key, entity integrity, referential integrity,
null value.
17.
Entity-relationship
diagramming: entities, relationships, attributes, cardinality, accommodation to
relational schema
18.
Normalisation:
first, second and third normal form.
19.
Relational
algebra. Each of 8 operators description.
20. SQL language: data definition, data modification, system tables, data
integrity, queries.
Operating Systems, Computer Networks, and Programming
21.
Java
language (operators, commands, functions, procedures, data types)
22.
Object
oriented programming
23.
Operating
systems (kinds, purpose, differences, basic characteristics)
24.
MS
DOS operating system ( history, purpose, basic facts, basic commands)
25.
Windows
family operating systems ( purpose, basic facts, user approach)
26.
Types of
computer networks (Arcnet, Ethernet), explanation of
principles
27.
Internet
(history, protocols TCP/IP, navigation tools, resources, mail, FTP, Gopher,
WWW, user approach)
Knowledge-based Technologies
28.
Knowledge. Knowledge
modelling and representation, knowledge types, knowledge storage and
acquisition.
29.
Ontological
engineering: ontologies in the context of computer science (usage of ontologies),
essential elements of ontology, types of ontologies, ontology languages, design
patterns, normalization ontology. Inference with ontology (consistency
checking, classification), tools.
30. Semantic web: semantic web technologies, metadata,
ontologies, search engines, semantic web-based applications, Topic Maps
standard, essential elements of the topic map, topic maps implementation
(tools, syntaxes).
Literature:
Alter, S.: Information Systems. A Management Perspective.
Addison-Wesley, Reading, MA.
1992.
Ball R.: Quantitative Approaches to Management. Butterworth-Hinemann Ltd.,
Davies, P.B.: Database systems, Mc Millan Press Ltd.,
Hillier F.S., Lieberman G.J.: Introduction to Operations Research. McGraw-Hill, Inc., New York, 1995. Chapters 1-4.
Matre Van, J.G.: Statistics for Business and Economics. BPI, IRWIN,
edition)
Mott, L.J., Kandel, A., Baker, T.P., Discrete
mathematics for computer scientists and mathematicians
Curwin J., Slater R.: Quantitave methods for business
decision, International Thomson Business Press, 1998
Allemang, D., Hendler, J.: Semantic Web for the Working Ontologist. Elsevier, 2007
Daconta, M.C., et al.: The Semantic Web. Wiley, 2003
Russell, S., Norvig, P.: Artificial Intelligence.
A Modern Approach. Prentice Hall, 1995
Staab, S., Studer, R. (Eds.): Handbook on Ontologies. Springer, 2004
Stuckenschmidt, H., van Harmelen, F.: Information Sharing on the Semantic Web.
Springer, 2005
Uschold, M., Gruninger, M.: Ontologies: principles, methods and
applications. The Knowledge Engineering Review, Vol.11:2, 1996, 93-136. (e.g. http://www.upv.es/sma/teoria/sma/onto/96-ker-intro-ontologies.pdf