Computer Programming
Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Computer Programming
Course Details
Trade and Industry Vocational School
Programme of Computer Programming
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 03841194 | Virtualization Techniques | 2025 | Spring | 4 | 2+2+0 | 5 | 5 |
| Course Type | Elective |
| Course Cycle | Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5) |
| Course Language | Turkish |
| Methods and Techniques | 1. Theoretical Explanation: The topics are explained theoretically within the scope of the course. Students listen to topic explanations in order to understand the basic concepts of programming and the logic of algorithms. 2. Applied Studies: Students carry out studies with various examples under the mentorship of the course instructor in order to apply the topics explained theoretically. Gains are tried to be achieved. 3. Step-by-Step Solution: The encountered problems are solved step by step and how each step works is explained. With this method, students are provided with a better command of the topics. 4. Real Life Examples: Real life examples and problem scenarios are presented for a better understanding of the topics. In this way, students see how to use what they have learned in practice. 5. Laboratory Sheets and Quizzes: Students' progress is evaluated with weekly laboratory handouts and pre-exam quizzes, and whether the topics are understood is monitored. |
| Mode of Delivery | Face to Face |
| Prerequisites | There are no prerequisites for the course. All students receive instruction starting from the basic level. |
| Coordinator | - |
| Instructor(s) | Lect. Uğur POLAT |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Lect. Uğur POLAT | TSMYO-T213 | [email protected] | 7860 | Monday 15.00-16.00 |
Course Content
1. What is Virtualization? Basic Concepts and History
2. Virtualization Architectures and Components
3. Hardware-Assisted Virtualization
4. Virtual Machine Management and Hypervisor Usage
5. Introduction to Container Technologies
6. Container Applications with Docker
7. Container Orchestration with Kubernetes
8. Virtualization Management Tools and Orchestration Solutions
9. Relationship between Cloud Computing and Virtualization
10. Virtualization Security
11. Performance Monitoring and Optimization Techniques
12. Term Project Presentations and Evaluation
2. Virtualization Architectures and Components
3. Hardware-Assisted Virtualization
4. Virtual Machine Management and Hypervisor Usage
5. Introduction to Container Technologies
6. Container Applications with Docker
7. Container Orchestration with Kubernetes
8. Virtualization Management Tools and Orchestration Solutions
9. Relationship between Cloud Computing and Virtualization
10. Virtualization Security
11. Performance Monitoring and Optimization Techniques
12. Term Project Presentations and Evaluation
Objectives of the Course
The aim of this course is to teach students the basic principles, methods and applications of virtualization technologies. As part of the course, students will learn the concept of virtualization, different types of virtualization and their areas of use; they will examine how virtualization works at the hardware, operating system and application level.
Students will experience virtualization tools such as virtual machines, hypervisors and container technologies in practice; they will learn how physical resources are managed efficiently in virtual environments. At the end of the course, students will have the skills to analyze virtualization technologies, manage systems by establishing virtualized environments and apply virtualization technologies in cloud computing environments. This course also aims to provide information on topics such as the advantages of virtualization, security measures and performance management.
Students will experience virtualization tools such as virtual machines, hypervisors and container technologies in practice; they will learn how physical resources are managed efficiently in virtual environments. At the end of the course, students will have the skills to analyze virtualization technologies, manage systems by establishing virtualized environments and apply virtualization technologies in cloud computing environments. This course also aims to provide information on topics such as the advantages of virtualization, security measures and performance management.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | X |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P4 | Effectively uses information technologies (software, programs, animations, etc.) related to her/his profession. | 5 |
| P1 | He/she has basic, current and applied information about his/her profession. | 5 |
| P3 | He/She follows current developments and practices in his profession and uses them effectively. | 4 |
| P6 | Can present his/her thoughts effectively through written and verbal communication at the level of knowledge and skills and expresses them in an understandable manner. | 3 |
| P7 | Takes responsibility as a team member to solve unforeseen complex problems encountered in applications related to her/his field | 3 |
| P11 | Creates algorithms and data structures and performs mathematical calculations. | 4 |
| P14 | Tests software and fixes bugs. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Knows how to develop algorithms and creates a data structure suitable for the algorithm. | P.4.1 | 1,6,7 |
| O2 | Have knowledge about current programming languages. | P.4.5 | 1,6,7 |
| O3 | Knows the basic elements of a computer. | P.1.1 | 1,6,7 |
| O4 | Knows how to use the internet and do research. | P.1.2 | 1,6,7 |
| O5 | Can perform basic mathematical analyses related to his/her profession. | P.1.3 | 1,6,7 |
| O6 | Knows how to develop algorithms and creates a data structure appropriate to the algorithm. | P.11.1 | 1,6,7 |
| O7 | Knows and uses current Information Technology platforms. | P.11.2 | 1,6,7 |
| O8 | Has knowledge of current programming languages. | P.11.3 | 1,6,7 |
| O9 | Has knowledge in the field of Digital Systems. | P.11.7 | 1,6,7 |
| O10 | Tests software and fixes bugs. | P.14.1 | 1,6,7 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | What is Virtualization? Basic Concepts and History |
| 2 | Virtualization Architectures and Components |
| 3 | Hardware-Assisted Virtualization |
| 4 | Virtual Machine Management and Hypervisor Usage |
| 5 | Introduction to Container Technologies |
| 6 | Container Applications with Docker |
| 7 | Pre-Exam Quiz and General Review |
| 8 | Mid-term Exam |
| 9 | Container Orchestration with Kubernetes |
| 10 | Virtualization Management Tools and Orchestration Solutions |
| 11 | Relationship Between Cloud Computing and Virtualization |
| 12 | Virtualization Security |
| 13 | Performance Monitoring and Optimization Techniques |
| 14 | Term Project Presentations and Evaluation |
| 15 | Pre-Exam Quiz and General Review |
| 16 | Final Exam |
Textbook or Material
| Resources | Abraham Silberschatz, Greg Gagne ve Peter B. Galvin, "Operating System Concepts", 9th Edition |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | 1 | 20 (%) |
| Seminar | - | - |
| Quiz | 2 | 10 (%) |
| Listening | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 40 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 16 | 4 | 64 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 2 | 28 |
| Midterms | 1 | 12 | 12 |
| Quiz | 2 | 2 | 4 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 1 | 24 | 24 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 1 | 2 | 2 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 16 | 16 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 150 | ||
| Total Work Load / 30 | 5 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P4 | P11 | P14 |
|---|---|---|---|---|---|
| O1 | Knows the basic elements of a computer. | 5 | - | - | - |
| O2 | Knows how to use the internet and do research. | 4 | - | - | - |
| O3 | Can perform basic mathematical analyses related to his/her profession. | 4 | - | - | - |
| O4 | Knows how to develop algorithms and creates a data structure suitable for the algorithm. | - | 5 | - | - |
| O5 | Have knowledge about current programming languages. | - | 5 | - | - |
| O6 | Knows how to develop algorithms and creates a data structure appropriate to the algorithm. | - | - | 5 | - |
| O7 | Knows and uses current Information Technology platforms. | - | - | 5 | - |
| O8 | Has knowledge of current programming languages. | - | - | 5 | - |
| O9 | Has knowledge in the field of Digital Systems. | - | - | 4 | - |
| O10 | Tests software and fixes bugs. | - | - | - | 5 |