Search result: Courses in Autumn Semester 2021
Mathematics Master ![]() | ||||||||||||
![]() For the Master's degree in Applied Mathematics the following additional condition (not manifest in myStudies) must be obeyed: At least 15 of the required 28 credits from core courses and electives must be acquired in areas of applied mathematics and further application-oriented fields. | ||||||||||||
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Number | Title | Type | ECTS | Hours | Lecturers | |||||||
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401-4607-67L | Schramm-Loewner Evolutions ![]() | W | 4 credits | 2V | ||||||||
401-4607-67 V | Schramm-Loewner Evolutions | 2 hrs |
| W. Werner | ||||||||
401-3822-17L | Ising Model ![]() | W | 4 credits | 2V | ||||||||
401-3822-17 V | Ising Model | 2 hrs |
| V. Tassion | ||||||||
401-3628-14L | Bayesian Statistics | W | 4 credits | 2V | ||||||||
401-3628-14 V | Bayesian Statistics | 2 hrs |
| F. Sigrist | ||||||||
401-0625-01L | Applied Analysis of Variance and Experimental Design ![]() | W | 5 credits | 2V + 1U | ||||||||
401-0625-01 V | Applied Analysis of Variance and Experimental Design | 2 hrs |
| L. Meier | ||||||||
401-0625-01 U | Applied Analysis of Variance and Experimental Design | 1 hrs |
| L. Meier | ||||||||
401-0649-00L | Applied Statistical Regression | W | 5 credits | 2V + 1U | ||||||||
401-0649-00 V | Applied Statistical Regression | 2 hrs |
| M. Dettling | ||||||||
401-0649-00 U | Applied Statistical Regression Mon 10-12 might not work for all different programmes where this course is offered. On sufficient demand, other slots (tentatively Mon 15-17 or Fri 10-12) for the exercise sessions can be offered. | 1 hrs |
| M. Dettling | ||||||||
401-3627-00L | High-Dimensional Statistics | W | 4 credits | 2V | ||||||||
401-3627-00 V | High-Dimensional Statistics | 2 hrs |
| P. L. Bühlmann | ||||||||
401-4623-00L | Time Series Analysis | W | 6 credits | 3G | ||||||||
401-4623-00 G | Time Series Analysis Does not take place this semester. | 3 hrs | F. Balabdaoui | |||||||||
401-3612-00L | Stochastic Simulation | W | 5 credits | 3G | ||||||||
401-3612-00 G | Stochastic Simulation Does not take place this semester. | 3 hrs |
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