Master Program in Data Science

R(VM 531)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
VM 531 R 3 4 0 0 3 8
Prerequisites
Admission Requirements
Language of Instruction
Course Type
Course Level Masters Degree
Course Instructor(s) Günce Keziban ORMAN korman@gsu.edu.tr (Email)
Assistant
Objective
Content
Course Learning Outcomes
Teaching and Learning Methods
References
Print the course contents
Theory Topics
Week Weekly Contents
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 2 50
Contribution of final exam to overall grade 1 50
Toplam 3 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 1 25
Project 1 25
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 0 0
Make-up 0 0
Toplam 2 50
No Program Learning Outcomes Contribution
1 2 3 4 5
Activities Number Period Total Workload
Class Hours 10 4 40
Working Hours out of Class 24 4 96
Assignments 0 0 0
Presentation 0 0 0
Midterm Examinations (including preparation) 1 20 20
Project 1 20 20
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 1 20 20
Quiz 0 0 0
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Make-up 0 0 0
Total Workload 196
Total Workload / 25 7.84
Credits ECTS 8
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