Classes

Enterprise Informatics II

Goal

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Project Management

Goal

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Statistical Models and Data

LEARNING OBJECTIVES

  1. Modelling
  2. Time Series
  3.  Applied Data Mining 
  4. Markov Chains
  5. RNG and Tests of Hypotheses
LESSONS

Modelling

Knowledge Management

Knowledge management is a relatively new concept that has a multidisciplinary substance and influences many human activities not only in a business environment.

The main goal of this subject is to introduce to students basic concepts of knowledge society, knowledge economy, knowledge management and its systems environment.

Computational Intelligence II

Subject: 

Computational Intelligence 2

Goal:

 Introduction to the Artificial Neural Networks practical applications.

Content of the subject:

Systems for Management Support II

Advanced technologies for management support (LS)

Lectures:

1.         GDSS (Group Decision Support Systems) 

2.         EIS (Executive Information Systems)

3.         Multicriteria decision making, Game theory and decisional models

Enterprise Informatics I

Goal

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Data Protection and Information Security

Prerequisites:

Knowledge from courses Computer architecture, Computer networks and Database

Description:


Fundamental data security aspects identification, whose data is comprehensive conception of IS security. Will be generalized, completed, sorted and examined knowledge gained like partial in other courses.

Content

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Distributed and Object-relational Databases

Learning objectives

:  Explain the basic theoretical background of distributed and object-relational databases.  Learn students how to use the new features implemented in the modern database systems.

 

Syllabus:

1.      Basic features of distributed database systems.

2.      Distributed database design.

Applied Statistics

Prerequisites:

 Probability and statistics, matrix algebra.

 Aims of the subject:

Principles of statistical thinking and statistical inference. Understanding of some statistical procedures, explanation the results of statistical evaluations. Solving problems and examples from business world and marketing. Integration theory and the use of statistical software packages (NCSS, SPSS Student Version) with decision making procedures.

Advanced Technology and Technics in Programming

Objective:

 The aim is to get students acquainted with the newest technics and technology at present used in the area of software development

 Syllabus:

Knowledge-based Technologies III

Syllabus

Introduction into agent and multi-agent systems

  • Distributed artificial intelligence
  • Different definitions of agency, types of agents, examples of agents
  • Characteristics of agents and their environment

Reactive agents

Managerial Methods

MAIN AIMS

The main aim is to introduce most common managerial methods which help gain more detailed view on internal mechanisms that influence fulfilment of social tasks and business performance of an organization. Students should acquire those methods and their effective use in particular situations.

CONTENT

Choice of appropriate method is basic precondition of any human activity


·        Most common managerial methods

Systems for Management Support I

Course Outline:

 The course is structured in three basic modules. The first module discusses the theoretical aspects of the decision making processes. The second one comprises the decision support systems. The third module deals with the multi-criteria decision models in detail. The detailed content of each module follows.

Module 1 - Theory of Decision Making
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