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Artificial Intelligence (in English) Non-Thesis
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ARTIFICIAL INTELLIGENCE (IN ENGLISH) NON-THESIS MASTER`S (SECOND CYCLE) PROGRAMME

Qualification Awarded
Length of Programme (Year)
Total Number of ECTS Credits
Type of Education
 Level of Qualification & Field of Study


Master's ( Second Cycle) Degree

1.5

90

Full Time
  • TQF Qualification Type: Professional
  • TQF, TQF-HE, EQF-LLL, ISCED (2011): Level 7
  • QF-EHEA: Second Cycle
  • Yönelim: Academic
  • Sınıflandırma (ISCED 2013): Temel Öğrenme Alanı:
  • Kategori: Ana Yeterlilik

COURSE & PROGRAM OUTCOMES MATRIX

(Matrix below shows how the courses in the curriculum of the programme associates with the programme learning outcomes as well as the level of their association in verbally and numerically illustrated matrices.)

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
No Effect ED (Lowest) D (Low) O (Average) Y (High) EY (Highest)
           
No Effect Lowest Low Average High Highest
           
(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively.)


DERSLER/PÖÇ		 TOTAL %
Artificial Intelligence Master’s Project 0 nan
Artificial Intelligence Master’s Project
Artificial Intelligence Master’s Project
Current Topics in Artificial Intelligence 0 nan
Current Topics in Artificial Intelligence
Current Topics in Artificial Intelligence
Departmental Elective (Area Elective Course IV)
Departmental Elective (Area Elective Course V)
Departmental Elective (Area Elective Course III)
Departmental Elective (Area Elective Course I)
Departmental Elective (Area Elective Course II)
Non-Departmental Elective (Free Elective Course II)
Non-Departmental Elective (Free Elective Course I)
University Elective (Competency Development Course II (Master))
University Elective (Competency Development Course I (Master))