Curriculum AM
Curriculum
1st Semester
| No. | Course | M = Mandatory, S = Selective |
ECTS | HOURS | ||
| 1 | Applied Functional Analysis | M | 7.5 | 3 | ||
| 2 | Special Topics In Differential And Difference Equations | M | 7.5 | 3 | ||
| 3 | Artificial Intelligence | S | 7.5 | 3 | ||
| 4 | Finite Elements | S | 7.5 | 3 | ||
| 5 | Numerical Methods For The Solution Of Ordinary Differential Equations | S | 7.5 | 3 | ||
| 6 | Stochastic Analysis Of Time Series | S | 7.5 | 3 | ||
| 7 | Programming in Python | S | 7.5 | 3 | ||
| Total | Mandatory (M) 2 Courses, Selective (S) 2 out of 5 |
30 | 12 |
2nd Semester
| No. | Course | M = Mandatory, S = Selective | ECTS | HOURS | ||
| 1 | Fuzzy Logic And Applications | M | 7.5 | 3 | ||
| 2 | Special Topics In Linear Algebra | M | 7.5 | 3 | ||
| 3 | Applied Economics With A Focus On The Environment – ESG | S | 7.5 | 3 | ||
| 4 | Teaching Of Mathematics | S | 7.5 | 3 | ||
| 5 | Graph Theory | S | 7.5 | 3 | ||
| 6 | Intelligent Modelling – Hybrid Soft Computing Information Systems | S | 7.5 | 3 | ||
| 7 | Numerical Methods For The Solution Of Partial Differential Equations | S | 7.5 | 3 | ||
| Total | Mandatory (M) 2 Courses, Selective (S) 2 out of 5 | 30 | 12 |
Summer Period
| ECTS | ||||||
| Thesis | 30 | |||||
| Total ECTS: | 90 |