SYLLABUS

University: Technical University of Košice

Faculty: Faculty of Electrical Engineering and Informatics

Department: Department of Cybernetics and Artificial Intelligence

Course Number: 26000776

Course Name: Main Knowledge of Intelligent Systems and their Application

Type, scope and method of learning activities: Course Type: Seminar Recommended scope of the course content (in hours): Full-time study (hours per week): 4 Part-time study (hours per semester): WT 52/ST 52 Study Method:

Number of credits: 6

Recommended semester of study: WT, ST

Recommended semester

Study programme

Study grade

Study Method

2.rok ST

Intelligent Systems (IS_Ing_D_en) Intelligent Systems (IS_Ing_D_sk) Intelligent Systems (IntS_Ing_D_sk) Intelligent Systems (IntS_Ing_D_en)

Master Master Master Master

Attendance Attendance Attendance Attendance

Level of study: Master

Prerequisites:

Course completion requirements: Assessment and completion of the course: State examination for 1st and 2nd degree Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 1u out of 1u. Credit test Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 51% out of 100%. State examination Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)

Learning outcomes: By completing the student proves the ability to think in an analytical and creative way, to elaborate and solve problems and tasks in the given technical field, mainly by employing gained knowledge from the completed subjects and using technical literature.

Brief course content: A global set of knowledge from the relevant technical field, connected mainly to compulsory and mandatory-optional subjects of the study programme, which contain themes from the core of the Kybernetika study programme.

Recommended Reference Sources: In accordance with the completed subjects in the relevant field

Recommended optional program components:

Languages required for the course completion:

Notes:

Course assessment: Total number of students assessed: 118

A

B

C

D

E

FX

42%

21%

14%

6%

5%

11%

Teacher: prof. Ing. Iveta Zolotová, CSc.

Last modified: 31.08.2020

Approved by: person(s) responsible for the study program