D.9. Key Learning Outcomes

1. Has detailed knowledge about data and knowledge engineering (DKE).

2. Has a good understanding of common concepts such as abstraction, complexity, security, concurrency, software lifecycle and applies their expertise to the effective design, development and management of IS.

3. Understands the interaction of theory and practice and the links between them.

4. Has the ability to think at different levels of abstraction and detail; understands that an IS can be considered in different contexts, going beyond narrowly identifying implementation issues.

5. Solves any technical or scientific problem independently and presents the best possible solution; has the communication skills to clearly explain the completeness and assumptions of their solution.

6. Completes a project on a larger scale than an ordinary course project in order to acquire the skills necessary to work efficiently in a team.

7. Recognises that the field of DKE is rapidly evolving. Follows the latest developments, learns and develops skills throughout their career.

8. Recognises the social, legal, ethical and cultural issues related to DKE practice and conduct professional activities in accordance with these issues.

9. Can make oral presentations in English and Turkish to different audiences face-to-face, in writing or electronically.

10. Recognises that DKE has a wide range of applications and opportunities.

11. Is aware that DKE interacts with different fields, can communicate with experts from different fields and can learn necessary field knowledge from them.

12. Define a research problem and use scientific methods to solve it.