Mar 26, 2019   5:02 a.m. Emanuel
Academic information system

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


Basic information

Type of work: Bachelor thesis
Topic: Identifikácia samo/spolu-hlások v texte
Title of topic in English: Vowel identification methods
State of topic: approved (prof. Dr. Ing. Miloš Oravec - Study programme supervisor)
Thesis supervisor: Ing. Eugen Antal, PhD.
Faculty: Faculty of Electrical Engineering and Information Technology
Supervising department: Institute of Computer Science and Mathematics - FEEIT
Max. no. of students: --
Academic year:2018/2019
Proposed by: Ing. Eugen Antal, PhD.
Summary: Cieľom práce je porovnanie rôznych metód služiacich na identifikáciu samo a spoluhlások v texte. Využitie v kryptoanalýze. Sukhotin's algorithm. Obmedzenia.



Limitations of the topic

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

Limit to study programme
The table shows limitations of study programme, field, track the student has to be enrolled in to be able to register for a given topic.

ProgrammeTrackTrack
B-API Applied Informatics-- not entered -- -- not entered --

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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