Courses
| Name | Dept. | Course # | Section | Term | Instructors | Notes |
|---|---|---|---|---|---|---|
| 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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| Maths For Quantitative LS: Introduction To Differential Equations | Grad School | 18/1 |
Merrin, Jack
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| Solid State Physics | Grad School | 18/2 |
Serbyn, Maksym
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| Protein Physics | Grad School | 18/3 |
Ivankov, Dmitrii
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| 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 |
Arroyo Guevara, Alan
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| Statistical Machine Learning | Grad School | 20/1 |
Lampert, Christoph
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