Computer Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05051104 | Mobile Programming | 3 | Autumn | 5 | 3+0+0 | 3 | 5 |
| 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 | Anlatım, görsel video, materyal örnekleri ve ödev |
| Mode of Delivery | Face to Face |
| Prerequisites | Yok |
| Coordinator | - |
| Instructor(s) | Assoc. Prof. Ali ÖZTÜRK |
| Instructor Assistant(s) | - |
Course Content
Ders kapsamında mobil programlama bileşenleri, uygulama geliştirme süreci ile ilgili kavram ve metolojiler verilmektedir. Android Studio yazılımı üzerinde uygulamalar gerçekleştirilmektedir.
Objectives of the Course
Learning software development technologies for mobile devices.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | X |
| 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 |
|---|---|---|
| P3 | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose | 4 |
| P6 | Ability to work effectively in disciplinary and multi-disciplinary teams; individual study skills | 3 |
| P7 | Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; writing active reports and writing reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions | 1 |
| P11 | Knowledge of the effects of engineering practices on health, environment and safety in the universal and social dimensions and the problems of the era in engineering; awareness of the legal consequences of engineering solutions | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Data analysis | P.2.22 | |
| O2 | Algorithm | P.2.23 | |
| O3 | Knowledge of algorithm design and analysis techniques. | P.3.1 | |
| O4 | Knowledge and use of software development platforms. | P.3.5 | |
| O5 | Knowledge of at least one structured programming language. | P.3.11 | |
| O6 | Knowledge of processor structure and operating logic. | P.3.23 | |
| O7 | Authentication Applications (Kerberos, X.509) | P.3.26 | |
| O8 | Ability to work individually in multidisciplinary teams. | P.6.2 | |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 3 | 42 |
| Midterms | 1 | 32 | 32 |
| 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 | 1 | 34 | 34 |
| 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 | P2 | P3 | P6 |
|---|---|---|---|---|
| O1 | Data analysis | 4 | - | - |
| O2 | Algorithm | - | - | - |
| O3 | Knowledge of algorithm design and analysis techniques. | - | - | - |
| O4 | Knowledge and use of software development platforms. | - | 3 | - |
| O5 | Knowledge of at least one structured programming language. | - | - | - |
| O6 | Knowledge of processor structure and operating logic. | - | - | - |
| O7 | Authentication Applications (Kerberos, X.509) | - | 3 | - |
| O8 | Ability to work individually in multidisciplinary teams. | - | - | - |