Applications of Data Science - II(VM 523)
Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
---|---|---|---|---|---|---|---|
VM 523 | Applications of Data Science - II | 2 | 0 | 2 | 0 | 1 | 4 |
Prerequisites | |
Admission Requirements |
Language of Instruction | Turkish |
Course Type | Compulsory |
Course Level | Masters Degree |
Course Instructor(s) | N. Sultan TURHAN sturhan@gsu.edu.tr (Email) Ayşegül ULUS aulus@gsu.edu.tr (Email) |
Assistant | |
Objective | - |
Content | - |
Course Learning Outcomes | |
Teaching and Learning Methods | |
References |
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 | 55 |
Contribution of final exam to overall grade | 1 | 45 |
Toplam | 7 | 100 |
In-Term Studies
Number | Contribution | |
---|---|---|
Assignments | 5 | 20 |
Presentation | 0 | 0 |
Midterm Examinations (including preparation) | 1 | 35 |
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 | 0 | 0 |
Toplam | 6 | 55 |
No | Program Learning Outcomes | Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 |
Activities | Number | Period | Total Workload |
---|---|---|---|
Class Hours | 11 | 2 | 22 |
Working Hours out of Class | 11 | 1 | 11 |
Assignments | 5 | 5 | 25 |
Presentation | 0 | 0 | 0 |
Midterm Examinations (including preparation) | 1 | 5 | 5 |
Project | 0 | 0 | 0 |
Laboratory | 0 | 0 | 0 |
Other Applications | 0 | 0 | 0 |
Final Examinations (including preparation) | 0 | 0 | 0 |
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 |
Total Workload | 63 | ||
Total Workload / 25 | 2.52 | ||
Credits ECTS | 3 |