Courses
| Name | Dept. | Course # | Section | Term | Instructors | Notes |
|---|---|---|---|---|---|---|
| Statistics for Life Scientists | Grad School | 16/2 |
Cremer, Sylvia
|
|||
| Molecules, Cells, and Models | Grad School | 17/1 |
Jonas, Peter
|
|||
| Applications of stochastic processes | Grad School | 17/3 |
Barton, Nicholas
Bodova, Katarina
|
|||
| IST core course | Grad School | 17/7 |
Barton, Nicholas
Novarino, Gaia
|
|||
| Deep learning with tensorflow | Grad School | 17/8 |
Lampert, Christoph
|
|||
| Maths For Quantitative LS: Introduction To Differential Equations | Grad School | 18/1 |
Merrin, Jack
|
|||
| Solid State Physics | Grad School | 18/2 |
Serbyn, Maksym
|
|||
| Protein Physics | Grad School | 18/3 |
Ivankov, Dmitrii
|
|||
| 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
|
|||
| Population genetics - the basics | Grad School | 19/2 |
Barton, Nicholas
|
|||
| Algebraic Methods in Combinatorics | Grad School | 19/3 |
Wagner, Uli
|
|||
| Introduction to Algebraic Geometry | Grad School | 19/4 |
Hausel, Tamas
|