| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Use of Basic Information Technologies II | PSİ112 | 2. Semester | 2 + 0 | 2.0 | 2.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Formal Education |
| Course Coordinator |
Lect. Ercan YELMAN |
| Instructors |
Ercan YELMAN |
| Assistants | |
| Goals | Learners will be able to use software, be able to use operating system, office programs, Internet and be able to improve their general IT skills. |
| Course Content | Professional concepts and practices, programming languages and current software (PDF, SPSS) applications constitute the basic course content. |
| Learning Outcomes |
- Obtains information about computer hardware. - Effective uses of social networks and social media. - Gains knowledge on e-Government and e-Learning. - Learns SPSS data analysis program. |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Introduction | Course Hours |
| 2. Week | Software | Course Hours |
| 3. Week | Social networks an social media - I | Course Hours |
| 4. Week | Social networks an social media - II | Course Hours |
| 5. Week | Software (PDF, video codecs, video formats) | Course Hours |
| 6. Week | IT law and ethics | Course Hours |
| 7. Week | e-Learning components | |
| 8. Week | Midterm | Course Hours |
| 9. Week | e-Government applications | Course Hours |
| 10. Week | Computer and network security | Course Hours |
| 11. Week | Data analyzing software – 1 (SPSS) | Course Hours |
| 12. Week | Data analyzing software – 2 (SPSS) | Course Hours |
| 13. Week | Data analyzing software – 3 (SPSS) | Course Hours |
| 14. Week | General evaluation | Course Hours |
| • Temel Bilgi Teknolojileri- 2, Özgür Yılmazer (Ed.) Anadolu Üniversitesi, Eskişehir, |
| • Temel Bilgi Teknolojileri, Ömer Akgöbek, Beta Yayınları. İstanbul, 2013. |
| • Temel Bilgi Teknolojileri ve Bilgisayar Kullanımı, Kolektif, Ekin Yayıncılık, |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | Measurement Method |
|---|---|---|---|---|---|---|
| PY1 | 2 | 0 | 0 | 0 | 0 | 40,60 |
| PY2 | 0 | 0 | 0 | 0 | 0 | - |
| PY3 | 0 | 0 | 0 | 0 | 0 | - |
| PY4 | 0 | 0 | 0 | 0 | 0 | - |
| PY5 | 0 | 0 | 0 | 0 | 0 | - |
| PY6 | 4 | 0 | 0 | 0 | 5 | 40,60 |
| PY7 | 2 | 0 | 0 | 0 | 0 | 40,60 |
| PY8 | 0 | 0 | 0 | 0 | 0 | - |
| PY9 | 3 | 0 | 0 | 0 | 0 | 40,60 |
| PY10 | 2 | 0 | 0 | 0 | 0 | 40,60 |
| PY11 | 2 | 0 | 0 | 0 | 0 | 40,60 |
| PY12 | 2 | 0 | 0 | 0 | 0 | 40,60 |
| PY13 | 3 | 0 | 0 | 0 | 0 | 40,60 |
| PY14 | 2 | 0 | 0 | 0 | 0 | 40,60 |
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
| Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Preparation, After Class Study | 5 | 3 | 15 |
| Course Hours | 14 | 2 | 28 |
| Midterm 1 | 1 | 2 | 2 |
| Final | 1 | 2 | 2 |
| Practice | 2 | 2 | 4 |
| Total Workload | 51 | ||
| ECTS Credit of the Course | 2.0 | ||
