| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Cloud Computing | YZM416 | Elective | Bachelor's degree | 4 | Spring | 5 |
Name of Lecturer(s)
Assistant Prof. Dr. Yasemin GÜLTEPE
Assistant Prof. Dr. Kaplan KAPLAN
Learning Outcomes of the Course Unit
1) Gains the knowledge and skills to learn and apply the basic concepts of Cloud Computing and Big Data.
2) Gains the ability to find and extract information from Big Data heaps in Cloud Computing environment.
3) Gains the ability to extract and analyze information from large data heaps on the Cloud Computing platform.
4) Bulut Bilişim platformları ile ilgili beceriler kazanır.
5) Gains skills about Big Data tools.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | High | High | Middle | Middle | Low | Low | Low | Middle | Low | Low | Low | Low | |
| 2 | High | High | Low | Middle | Low | Low | Low | Middle | Low | Low | Middle | Low | |
| 3 | High | High | Low | Middle | Low | Low | Low | Middle | Low | Low | Middle | Low | |
| 4 | High | No relation | Middle | High | Low | High | Middle | Middle | Middle | Low | Low | Low | |
| 5 | High | High | Middle | Middle | High | High | Middle | Middle | Middle | Low | Low | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
The course content will cover topics such as new programming paradigms, virtualization environments, and big scientific data analysis within the scope of cloud programming. In addition, many research articles in the field of cloud computing will be learned, presented and discussed.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required