Programme Details
1. Semester
|
| # |
Course Code |
Prerequisites |
Course Name |
Course Type |
Theory |
Practice |
Lab |
ECTS |
Erasmus |
| 1 |
MATH 690
|
- |
Graduate Seminar |
Compulsory |
0 |
2 |
0 |
9 |
|
| 2 |
MATH 601
|
- |
Mathematical Foundations of Machine Learning |
Elective |
3 |
0 |
0 |
7 |
|
| 3 |
MATH 602
|
- |
Statistical Inference & Learning Theory |
Elective |
3 |
0 |
0 |
7 |
|
| 4 |
MATH 604
|
- |
Theory of Deep Learning |
Elective |
3 |
0 |
0 |
7 |
|
2. Semester
|
| # |
Course Code |
Prerequisites |
Course Name |
Course Type |
Theory |
Practice |
Lab |
ECTS |
Erasmus |
3. Semester
|
| # |
Course Code |
Prerequisites |
Course Name |
Course Type |
Theory |
Practice |
Lab |
ECTS |
Erasmus |
4. Semester
|
| # |
Course Code |
Prerequisites |
Course Name |
Course Type |
Theory |
Practice |
Lab |
ECTS |
Erasmus |
Print the course contents
