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 |
|---|---|---|---|---|---|---|---|
| 03830106 | Information Law | 2025 | Autumn | 3 | 2+0+0 | 3 | 3 |
| Course Type | Compulsory |
| Course Cycle | Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Lect. Gizem ÇELİK |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Lect. Gizem ÇELİK | TSMYO-C125 | [email protected] | 7434 | Friday 10:00-12:00 |
Objectives of the Course
Bilişim hukuku, insanlar tarafından bilgi alışverişi, iletişim, alışveriş amacıyla kullanılan bilgi ve teknolojinin kötüye kullanımı ile insanlara zarar verilmesini önlemek amacıyla ortaya çıkmış olan bir hukuk dalıdır.Bu konularda bilgi vermek
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| 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 |
|---|---|---|
| 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. | 5 |
| P9 | It has social, scientific, cultural and ethical values in the stages of collecting data related to its field, applying it and announcing the results. | 5 |
| P20 | Uses information technologies effectively and efficiently to solve problems encountered in academic and professional life. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Speaks and presents confidently in front of the public | P.6.4 | 5 |
| O2 | Follows ethical standards in data collection and analysis | P.9.2 | 3 |
| O3 | Being aware of data security, ethics and privacy issues and being able to apply these principles. | P.20.4 | 1,3 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Textbook or Material
| Resources | IT Law - Dr. Metin Turan |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | 1 | 15 (%) |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 35 (%) |
| Final Exam | 1 | 50 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 2 | 28 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 1 | 14 |
| Midterms | 1 | 15 | 15 |
| Quiz | 0 | 0 | 0 |
| Homework | 1 | 3 | 3 |
| 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 | 1 | 30 | 30 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 90 | ||
| Total Work Load / 30 | 3 | ||
| Course ECTS Credits: | 3 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P6 | P9 | P20 |
|---|---|---|---|---|
| O1 | Speaks and presents confidently in front of the public | 5 | - | - |
| O2 | Follows ethical standards in data collection and analysis | - | 5 | 5 |
| O3 | Being aware of data security, ethics and privacy issues and being able to apply these principles. | - | 5 | 5 |