Oct 15, 2019   11:46 a.m. Terézia
Academic information system

Summary of topics offered - Faculty of Electrical Engineering and Information Technology


Basic information

Type of work: Bachelor thesis
Topic: Využitie metód ILP pre analýzu FOREX údajov
Title of topic in English: Using ILP methods for FOREX data analysis
State of topic: approved (prof. Dr. Ing. Miloš Oravec - Study programme supervisor)
Thesis supervisor: RNDr. Igor Kossaczký, CSc.
Faculty: Faculty of Electrical Engineering and Information Technology
Supervising department: Institute of Computer Science and Mathematics - FEEIT
Max. no. of students: 1
Academic year:2019/2020
Proposed by: RNDr. Igor Kossaczký, CSc.
Summary: Cieľom práce je preskúmať možnosti využitia induktívneho logického programovania a technológií sémantického webu pri analýze údajov z FOREXu.



Limitations of the topic

To sign up for a topic it is necessary to fulfil one of the following restrictions

Restrictions by study
The table shows restrictions by study to which the student has to be enrolled in order to sign up for the given topic.

ProgrammeTrack
B-API Applied InformaticsB-API-MSUS Modeling and Simulation of Event Systems

Limit to courses
The table shows limitations of a course the student has to complete to be able to register for a given topic.

DepartmentCourse title
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