This is a program. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes |
Courses |
ARI5001 Principles of Artificial Intelligence |
ARI5002 Optimization for Artificial Intelligence |
BUS5301 Research Methods and Ethics |
CMP5887 Seminar |
CMP5888-1 Master Thesis |
CMP5888-2 Master Thesis |
GE-Elective |
|
1. Semester | |||||||
Course Code | Course Name | Prerequisites | Theoretical | Practical | Credit | ECTS | |
ARI5001 | Principles of Artificial Intelligence | 3 | 0 | 3 | 8 | ||
BUS5301 | Research Methods and Ethics | 3 | 0 | 3 | 9 | ||
Departmental Elective | 3 | 7 | |||||
Departmental Elective | 3 | 6 | |||||
Total | 30 |
2. Semester | |||||||
Course Code | Course Name | Prerequisites | Theoretical | Practical | Credit | ECTS | |
ARI5002 | Optimization for Artificial Intelligence | 3 | 0 | 3 | 8 | ||
Departmental Elective | 3 | 7 | |||||
Departmental Elective | 3 | 8 | |||||
Departmental Elective | 3 | 7 | |||||
Total | 30 |
3. Semester | |||||||
Course Code | Course Name | Prerequisites | Theoretical | Practical | Credit | ECTS | |
CMP5887 | Seminar | ☑ | 0 | 0 | 0 | 10 | |
CMP5888-1 | Master Thesis | 0 | 0 | 0 | 20 | ||
Total | 30 |
4. Semester | |||||||
Course Code | Course Name | Prerequisites | Theoretical | Practical | Credit | ECTS | |
CMP5888-2 | Master Thesis | ☑ | 0 | 0 | 0 | 30 | |
Total | 30 |