History
Course Details
KTO KARATAY UNIVERSITY
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of History
Course Details
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of History
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 99901028 | Cloud Technologies | 1 | Autumn | 1 | 2+0+0 | 3 | 3 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | - |
| Instructor Assistant(s) | - |
Course Content
Learning theoretical and practical information about Cloud Computing
Objectives of the Course
Learning theoretical and practical information about Cloud Computing
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to Cloud Computing |
| 2 | Distributed systems models |
| 3 | Virtualization, virtual machines, clusters and data centers |
| 4 | Cloud Computing service models |
| 5 | Major Cloud Computing providers |
| 6 | Basic application services on cloud computing infrastructure |
| 7 | Midterm |
| 8 | Amazon Web Servisleri ve uygulamaları |
| 9 | Google Cloud Computing infrastructure and applications |
| 10 | Azure Cloud Computing infrastructure and applications |
| 11 | Azure Cloud Computing infrastructure and applications |
| 12 | Creating virtual machines and web testing on cloud computing |
| 13 | Examples of artificial intelligence applications on cloud computing |
| 14 | Cloud computing and security |
Textbook or Material
| Resources | R. Buyya, J. Broberg, A.Goscinski. Cloud Computing: Principles and |
| R. Buyya, J. Broberg, A.Goscinski. Cloud Computing: Principles and |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Homework | - | - |
| Presentation | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Midterms | - | - |
| Final Exam | - | - |
| Total | 0 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 0 | ||
| Total Work Load / 30 | 0 | ||
| Course ECTS Credits: | 0 | ||