Master of Science in Smart Systems Engineering

Artificial Learning(ISI 520)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
ISI 520 Artificial Learning 2 3 0 0 3 6
Prerequisites
Admission Requirements
Language of Instruction
Course Type
Course Level Masters Degree
Course Instructor(s) Ahmet Teoman NASKALİ tnaskali@gsu.edu.tr (Email)
Assistant
Objective
Content
Course Learning Outcomes
Teaching and Learning Methods
References
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Theory Topics
Week Weekly Contents
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 6 60
Contribution of final exam to overall grade 1 40
Toplam 7 100
In-Term Studies
  Number Contribution
Assignments 4 25
Presentation 0 0
Midterm Examinations (including preparation) 1 25
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 1 10
Toplam 6 60
No Program Learning Outcomes Contribution
1 2 3 4 5
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 14 3 42
Assignments 4 4 16
Presentation 1 10 10
Midterm Examinations (including preparation) 1 15 15
Final Examinations (including preparation) 1 25 25
Total Workload 150
Total Workload / 25 6.00
Credits ECTS 6
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