SYLLABUS
University: Technical University of Košice
Faculty: Faculty of Electrical Engineering and Informatics
Department: Department of Cybernetics and Artificial Intelligence
Course Number: 26000905 Course Name: Team project
Type, scope and method of learning activities:
Course Type:
Recommended scope of the course content (in hours):
Full-time study (hours per week): -
Part-time study (hours per semester): WT /ST
Study Method:
Number of credits: 1
Recommended semester of study: WT, ST
Recommended semester Study programme Study grade Study Method
1.rok WT Intelligent Systems (IS_Ing_D_sk) Master Attendance
Level of study: Master
Prerequisites:
Course completion requirements:
Assessment and completion of the course: Graded credit test
Continuous assessment:
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%.
Project, defense, presentation
Student will benefit from ZH when he / she meets the condition of min. 51% of 100%.
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:
To acquire methods and procedures for solving of relatively large projects in teams, to demonstrate the ability to work in a team and solving tasks, including tasks of a scientific nature.
Brief course content:
- studying of the issue, obtaining resources
- problem analysis
- solution design
- written and oral presentation of project solution results
Recommended Reference Sources:
ISO 690:1987: Documentation  Bibliographic references. Content, form and structure.
ISO 2145:1978: Documentation  Numbering of divisions and subdivisions in written documents.
Recommended optional program components:
Languages required for the course completion:
Notes:
Course assessment:
Total number of students assessed: 25
  A B C D E FX  
  60% 16% 12% 0% 0% 12%  
Teacher:
prof. Ing. Iveta Zolotová, CSc.
Last modified: 31.08.2018
Approved by: person(s) responsible for the study program