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 |
|---|---|---|---|---|---|---|---|
| 03841198 | Blockchain Technologies | 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 to Blockchain Technology
2. Basic Components of Blockchain Architecture
3. Cryptography and Security Concepts
4. Blockchain Applications and Cryptocurrencies
5. Smart Contracts
6. Decentralized Applications (DApps)
7. Consensus Mechanisms and New Approaches
8. Scalability Problems and Solutions
9. Blockchain-Based Data Management
10. Blockchain Platforms and Application Areas
11. Future of Blockchain Technology and Trends
12. Project Studies and Practical Applications
2. Basic Components of Blockchain Architecture
3. Cryptography and Security Concepts
4. Blockchain Applications and Cryptocurrencies
5. Smart Contracts
6. Decentralized Applications (DApps)
7. Consensus Mechanisms and New Approaches
8. Scalability Problems and Solutions
9. Blockchain-Based Data Management
10. Blockchain Platforms and Application Areas
11. Future of Blockchain Technology and Trends
12. Project Studies and Practical Applications
Objectives of the Course
The aim of this course is to teach students the basic principles, architecture and areas of use of blockchain technology. The course provides students with an understanding of how blockchain systems work, the advantages and limitations of distributed ledger technology, and introduces basic concepts such as cryptography, data security and smart contracts.
The course will focus on how blockchain is used in different sectors, the structure of cryptocurrencies and decentralized applications (DApps), digital identity verification and data management. In addition, practical work will be done with blockchain platforms (Ethereum, Hyperledger, Bitcoin etc.).
At the end of the course, students will understand the basics of blockchain architecture, learn how to use this technology in their projects and gain the ability to analyze innovative solutions offered by blockchain.
The course will focus on how blockchain is used in different sectors, the structure of cryptocurrencies and decentralized applications (DApps), digital identity verification and data management. In addition, practical work will be done with blockchain platforms (Ethereum, Hyperledger, Bitcoin etc.).
At the end of the course, students will understand the basics of blockchain architecture, learn how to use this technology in their projects and gain the ability to analyze innovative solutions offered by blockchain.
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. | 5 |
| 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. | 5 |
| 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 | Analyzes complex problems and develops solution strategies | P.3.4 | 1,6,7 |
| O8 | Have basic analysis knowledge. | P.3.5 | 1,6,7 |
| O9 | Knows how to develop algorithms and creates a data structure appropriate to the algorithm. | P.11.1 | 1,6,7 |
| O10 | Knows and uses current Information Technology platforms. | P.11.2 | 1,6,7 |
| O11 | Has knowledge of current programming languages. | P.11.3 | 1,6,7 |
| O12 | Has knowledge in the field of Digital Systems. | P.11.7 | 1,6,7 |
| O13 | 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 to Blockchain Technology |
| 2 | Basic Components of Blockchain Architecture |
| 3 | Cryptography and Security Concepts |
| 4 | Blockchain Applications and Cryptocurrencies |
| 5 | Smart Contracts |
| 6 | Decentralized Applications (DApps) |
| 7 | Pre-Exam Quiz and General Review |
| 8 | Mid-term Exam |
| 9 | Consensus Mechanisms and New Approaches |
| 10 | Scalability Issues and Solutions |
| 11 | Blockchain Based Data Management |
| 12 | Blockchain Platforms and Application Areas |
| 13 | Future of Blockchain Technology and Trends |
| 14 | Project Studies and Practical Applications |
| 15 | Pre-Exam Quiz and General Review |
| 16 | Final Exam |
Textbook or Material
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 | 7 | 7 |
| 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 | 2 | 2 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 16 | 16 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 151 | ||
| Total Work Load / 30 | 5,03 | ||
| 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. | - | 5 | - | - |
| O7 | Analyzes complex problems and develops solution strategies | - | 5 | - | - |
| O8 | Have basic analysis knowledge. | - | 4 | - | - |
| O9 | Knows how to develop algorithms and creates a data structure appropriate to the algorithm. | - | - | 5 | - |
| O10 | Knows and uses current Information Technology platforms. | - | - | 5 | - |
| O11 | Has knowledge of current programming languages. | - | - | 5 | - |
| O12 | Has knowledge in the field of Digital Systems. | - | - | 5 | - |
| O13 | Tests software and fixes bugs. | - | - | - | 5 |