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 |
|---|---|---|---|---|---|---|---|
| 03841195 | Cloud computing | 2 | Spring | 4 | 2+1+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. Teorik Anlatım: Konular ders kapsamında teorik olarak anlatılır. Öğrenciler programlamanın temel kavramlarını ve algoritmaların mantığını kavrayabilmeleri için konu anlatımları dinler. 2. Uygulamalı Çalışmalar: Öğrenciler, teorik olarak anlatılan konuların uygulamasını yapmak için ders eğitmeni mentorlüğünde çeşitli örneklerle çalışmalar gerçekleştirir. Kazanımlar elde edilmeye çalışılır. 3. Adım Adım Çözümleme: Karşılaşılan problemler adım adım çözülerek her adımın nasıl işlediği açıklanır. Bu yöntemle öğrencilerin konulara daha hakim olması sağlanır. 4.Gerçek Hayat Örnekleri: Konuların daha iyi anlaşılması için gerçek hayattan örnekler ve problem senaryoları sunulur. Böylece öğrenciler öğrendiklerini pratikte nasıl kullanacağını görür. 5. Laboratuvar Föyleri ve Quizler: Haftalık laboratuvar föyleri ve sınav öncesi quizler ile öğrencilerin ilerlemesi değerlendirilir, konuların anlaşılıp anlaşılmadığı takip edilir. |
| Mode of Delivery | Face to Face |
| Prerequisites | Dersin herhangi bir ön koşulu bulunmamaktadır. Tüm öğrencilere temel seviyeden başlanarak eğitim verilmektedir. |
| 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. Introduction and Basic Concepts
2. Cloud Computing Architecture and Components
3. Cloud Service Models
4. Cloud Deployment Models
5. Virtualization and Its Role in Cloud Computing
6. Cloud Security and Privacy
7. Storage and Data Management
8. Networking and Communication
9. High Availability, Backup and Disaster Recovery
10. Cloud Management and Cost Optimization
11. Applied Studies: Working with Cloud Providers
12. New Generation Technologies and Trends
13. Project Studies and Sectoral Applications
2. Cloud Computing Architecture and Components
3. Cloud Service Models
4. Cloud Deployment Models
5. Virtualization and Its Role in Cloud Computing
6. Cloud Security and Privacy
7. Storage and Data Management
8. Networking and Communication
9. High Availability, Backup and Disaster Recovery
10. Cloud Management and Cost Optimization
11. Applied Studies: Working with Cloud Providers
12. New Generation Technologies and Trends
13. Project Studies and Sectoral Applications
Objectives of the Course
The aim of this course is to introduce students to the basic concepts of cloud computing, infrastructure architecture, service models and the advantages that these technologies offer in the business world. Students will learn how to optimize data storage, processing and management processes with cloud computing, and will develop the ability to choose between different cloud models (IaaS, PaaS, SaaS).
Throughout the course, students will have the opportunity to experience the basic advantages of cloud computing, such as flexibility, scalability and cost efficiency, through practical examples and projects. In addition, they will understand important issues such as security and privacy in cloud computing and gain information about secure system design and management.
At the end of the course, students will have the knowledge and skills to effectively use cloud technologies in the business world by gaining competence in developing, managing and deploying cloud-based applications.
Throughout the course, students will have the opportunity to experience the basic advantages of cloud computing, such as flexibility, scalability and cost efficiency, through practical examples and projects. In addition, they will understand important issues such as security and privacy in cloud computing and gain information about secure system design and management.
At the end of the course, students will have the knowledge and skills to effectively use cloud technologies in the business world by gaining competence in developing, managing and deploying cloud-based applications.
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 |
| P5 | Has the ability to independently evaluate professional problems and issues with an analytical and critical approach and propose solutions. | 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 |
| 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 the basic elements of a computer. | P.1.1 | 1,6,7 |
| O2 | Knows how to use the internet and do research. | P.1.2 | 1,6,7 |
| O3 | Can perform basic mathematical analyses related to his/her profession. | P.1.3 | 1,6,7 |
| O4 | Knows current techniques for data analysis. | P.3.1 | 1,6,7 |
| O5 | Must know and use current software development platforms. | P.3.2 | 1,6,7 |
| O6 | Addresses complex problems and produces creative solutions. | P.3.3 | 1,6,7 |
| O7 | Have basic analysis knowledge. | P.3.5 | 1,6,7 |
| O8 | Knows how to develop algorithms and creates a data structure appropriate to the algorithm. | P.11.1 | 1,6,7 |
| O9 | Knows and uses current Information Technology platforms. | P.11.2 | 1,6,7 |
| O10 | Has knowledge of current programming languages. | P.11.3 | 1,6,7 |
| O11 | 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 | Introduction and Basic Concepts |
| 2 | Cloud Computing Architecture and Components |
| 3 | Cloud Service Models |
| 4 | Cloud Deployment Models |
| 5 | Virtualization and its Role in Cloud Computing |
| 6 | Cloud Security and Privacy |
| 7 | Storage and Data Management |
| 8 | Mid-term Exam |
| 9 | Network and Communication |
| 10 | High Availability, Backup and Disaster Recovery |
| 11 | Cloud Management and Cost Optimization |
| 12 | Practical Work: Working with Cloud Providers |
| 13 | New Generation Technologies and Trends |
| 14 | Project Studies and Sectoral Applications |
| 15 | Pre-Exam Quiz and General Review |
| 16 | Final Exam |
Textbook or Material
| Resources | Thomas Erl, Ricardo Puttini, Zaigham Mahmood, "Cloud Computing: Concepts, Technology & Architecture" |
| Kai Hwang, Geoffrey C. Fox, Jack J. Dongarra, "Distributed and Cloud Computing: From Parallel Processing to the Internet of Things" |
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 | 6 | 6 |
| Quiz | 2 | 2 | 4 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 1 | 30 | 30 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 1 | 4 | 4 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 16 | 16 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 152 | ||
| Total Work Load / 30 | 5,07 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P3 | 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 current techniques for data analysis. | - | 5 | - | - |
| O5 | Must know and use current software development platforms. | - | 5 | - | - |
| O6 | Addresses complex problems and produces creative solutions. | - | 4 | - | - |
| O7 | Have basic analysis knowledge. | - | 5 | - | - |
| O8 | Knows how to develop algorithms and creates a data structure appropriate to the algorithm. | - | - | 5 | - |
| O9 | Knows and uses current Information Technology platforms. | - | - | 5 | - |
| O10 | Has knowledge of current programming languages. | - | - | 5 | - |
| O11 | Tests software and fixes bugs. | - | - | - | 5 |