- Course Code
- AI400
- Semester
- Seventh Term (Fall)
- Theory+Practice
- 0 + 0
- ECTS
- 2
| Course Type | Compulsory Course |
| Course Level | Bachelor's Degree |
| Year of Study | 4 |
| Semester | Seventh Term (Fall) |
| ECTS | 2 |
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Gain knowledge on application of AI engineers working environment.
- Learn more about AI engineering working applications and their executions.
- Develop different application projects and observe different AI applications.
- Accumulate knowledge on applications of AI engineering.
- Gain experience of team work.
|
| Mode of Delivery | Face to face |
| Prerequisites | Yes(AI300) |
| Recommended Optional Programme Components | |
| Course Description | Summer practice is at least 20 working day practical training to be done in production facilities and in service sector, according to the principles determined by the faculty. |
| Course Contents |
Recognizing computer engineering fields of study, writing reports .
|
| Recommended or Required Reading | NONE |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Practice |
1 |
100 |
| Total(%) |
|
100 |
| Contribution of In-term Studies to Overall Grade(%) |
|
100 |
| Contribution of Final Examination to Overall Grade(%) |
|
0 |
| Total(%) |
|
100 |
|
| Language of Instruction | - |
| Work Placement(s) | Yes |
Programme Qualifications / Learning Outcomes
|
LO1 |
LO2 |
LO3 |
LO4 |
LO5 |
| K1 |
|
|
|
|
|
| K2 |
|
|
|
|
|
| K3 |
|
|
|
|
|
| K4 |
|
|
|
|
|
| K5 |
|
|
|
|
|
| K6 |
|
|
|
|
|
| K7 |
|
|
|
|
|
| K8 |
|
|
|
|
|
| K9 |
|
|
|
|
|
| K10 |
|
|
|
|
|
| K11 |
|
|
|
|
|
| K12 |
|
|
|
|
|