Courses
Name | Dept. | Course # | Section | Term | Instructors | Notes |
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Statistics for Life Scientists | Grad School | 16/2 |
Cremer, Sylvia
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Molecules, Cells, and Models | Grad School | 17/1 |
Jonas, Peter
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Applications of stochastic processes | Grad School | 17/3 |
Barton, Nicholas
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IST core course | Grad School | 17/7 |
Barton, Nicholas
Novarino, Gaia
Hausel, Tamas
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Deep learning with tensorflow | Grad School | 17/8 |
Lampert, Christoph
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Solid State Physics | Grad School | 18/2 |
Serbyn, Maksym
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Protein Physics | Grad School | 18/3 | ||||
Graduate Student's Books | Grad School | 18/4 | ||||
The Stability of Matter in Quantum Mechanics | Grad School | 18/5 | ||||
Applications of Stochastic Processes | Grad School | 19/1 |
Barton, Nicholas
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Population genetics - the basics | Grad School | 19/2 |
Barton, Nicholas
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Algebraic Methods in Combinatorics | Grad School | 19/3 |
Wagner, Uli
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Introduction to Algebraic Geometry | Grad School | 19/4 |
Hausel, Tamas
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Graph Theory | Grad School | 19/5 | ||||
Applied psychoeducation for researchers | Grad School | C_OTH-401_S22 |
Klammer, Daniela
Huber, Judita
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Additional Instructor: Lackner, Saskia |