Intelligent Systems

Business, Marketing & Economics Program
Budapest, Hungary

Dates: 8/31/25 - 12/20/25

Business, Marketing & Economics

Intelligent Systems

Intelligent Systems Course Overview

OVERVIEW

CEA CAPA Partner Institution: Corvinus University of Budapest
Location: , Hungary
Primary Subject Area: Computer Sciences
Instruction in: English
Course Code: DIG 082
Transcript Source: Partner Institution
Course Details: Level 400
Recommended Semester Credits: 3
Contact Hours: 45
Prerequisites: There are no special prerequisites although a good understanding of computer basics may be useful.

DESCRIPTION

Today's networked computer systems enable decision makers to use information in radically new ways, to make dramatically more effective decisions -- and make those decisions more rapidly. Intelligent systems course offers a comprehensive overview about management support system technologies, and how they can be used for better decision making. Course go far beyond traditional approaches, it is focusing far more coverage on web-enabled tools, business analytics, intelligent systems over the Internet (semantic web) and other recent innovations. Each significant new technology will be introduced, and working mechanism is demonstrated. In many cases practical guidance on integrating it into real-world organizations is showed. Examples, products, services, and exercises are presented throughout. Topics include decision support technology, OLAP, business performance management, data mining and artificial intelligence technologies. Course will also cover the following areas: data warehousing, including access, analysis, visualization, modeling, and support. Assignments are about real business scenarios for the use of advanced management support technology.

Corvinus University of Budapest awards credits based on the ECTS system (2 ECTS credits equals 1 U.S. credit therefore, 6 ECTS credits is equivalent to 3 U.S. credits). At Corvinus University of Budapest, all classes meet for a minimum of 180 minutes per week. Contact hours are calculated through a combination of lecture hours and outside activities which can include (workshops, seminars, fieldwork activities, guest lectures, and independent work) therefore, contact hours may vary on syllabi.


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