SYLLABUS
University: Technical University of Košice
Faculty: Faculty of Electrical Engineering and Informatics
Department: Department of Cybernetics and Artificial Intelligence
Course Number: 26000829 Course Name: Advanced methods of computer vision
Type, scope and method of learning activities:
Course Type: Lecture, Laboratory exercise
Recommended scope of the course content (in hours):
Full-time study (hours per week): 2,2
Part-time study (hours per semester): ST 26,26
Study Method:
Number of credits: 6
Recommended semester of study: ST
Recommended semester Study programme Study grade Study Method
1.rok ST Intelligent Systems (IntS_Ing_D_sk)
Intelligent Systems (IntS_Ing_D_en)
Master
Master
Attendance
Attendance
Level of study:
Prerequisites:
Course completion requirements:
Assessment and completion of the course: Credit test and examination
Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 21% out of 40%.
Credit test
Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 31% out of 60%.
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:
Brief course content:
Recommended Reference Sources:
Recommended optional program components:
Languages required for the course completion: Slovak, English
Notes:
Course assessment:
Total number of students assessed: 144
  A B C D E FX  
  17% 17% 23% 19% 15% 9%  
Teacher:
doc. Ing. Marek Bundzel, PhD.
Last modified: 31.08.2023
Approved by: person(s) responsible for the study program