| Course Type | Elective Course |
|---|
| Course Level | Associate Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 5 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Recognize the functions, limitations, and areas of use of generative artificial intelligence, along with how it works.
- Explain the potential contributions of artificial intelligence tools to office management.
- Understand artificial intelligence applications in the context of digital literacy and 21st-century skills.
- Distinguish the role of artificial intelligence tools in virtual secretarial and digital assistant work.
- Explain data privacy, copyright, and ethical principles, and develop awareness of responsible use.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | |
|---|
| Course Description | This course aims to enable students to recognize generative artificial intelligence technologies (such as text, visual, table, presentation, and content generation), understand their main applications in professional settings, and develop awareness regarding ethics, security, and data privacy in the use of artificial intelligence. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction, course purpose, the concept of artificial intelligence, and digital transformation |
|
2nd Week |
21st-century skills, digital literacy, and changing roles in office management |
|
3rd Week |
Introduction to generative artificial intelligence: concepts, operating logic, opportunities, and limitations |
|
4th Week |
Types of AI tools: text, image, audio, and presentation generation |
|
5th Week |
Text generation: e-mails, official correspondence, and note-taking |
|
6th Week |
AI support in preparing presentations and content; introduction to image generation |
|
7th Week |
Meeting planning, task management, and digital assistance |
|
8th Week |
Midterm exam week |
|
9th Week |
Ethical principles: transparency, accountability, copyright, and plagiarism |
|
10th Week |
Data privacy and security: personal data and organizational risks |
|
11th Week |
Future professional roles in virtual secretarial and digital assistant work |
|
12th Week |
Limitations of AI tools and critical evaluation |
|
13th Week |
Scenario discussions: meeting preparation, report drafting, and correspondence with clients |
|
14th Week |
Mini project / assignment presentations |
|
| Recommended or Required Reading | |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Case Study
- Presentation
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Assignment |
2 |
40 |
| Project |
1 |
30 |
| Total(%) |
|
70 |
| Contribution of In-term Studies to Overall Grade(%) |
|
70 |
| Contribution of Final Examination to Overall Grade(%) |
|
30 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
|
|
|
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
2 |
28 |
| Preparation for Final exam |
1 |
10 |
10 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
|
|
|
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
1 |
1 |
| Homework |
2 |
20 |
40 |
| Presentation (including preperation) |
1 |
20 |
20 |
| Project |
1 |
20 |
20 |
| Total Work Load | 161 |
| Total Work Load / 30 (h) | 5.36 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
