• Genome Data Science

    We develop methods and tools to work with tens of thousands of genomes and analyze and integrate the corresponding data.

    Model of DNA double helix in front of a student.
    © Universität Bielefeld
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teaching:2020summer:prog [2020/06/29 09:01]
ddoerr [Time table] 		teaching:2020summer:prog [2020/06/29 16:10]
ddoerr [Time table]
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 | 20.05.2020 | [[teaching:​2020summer:​prog:​lecture05|Numerical Data Analysis & Visualization]] ({{teaching:​2020summer:​prog:​slides05.pdf|slides}}) | {{teaching:​2020summer:​prog:​exercises05.pdf|Ex05}} (PDF), {{teaching:​2020summer:​prog:​exercises05.ipynb|Ex05}} (Jupyter NB), {{teaching:​2020summer:​prog:​course_material_05.zip|course material}} | | 20.05.2020 | [[teaching:​2020summer:​prog:​lecture05|Numerical Data Analysis & Visualization]] ({{teaching:​2020summer:​prog:​slides05.pdf|slides}}) | {{teaching:​2020summer:​prog:​exercises05.pdf|Ex05}} (PDF), {{teaching:​2020summer:​prog:​exercises05.ipynb|Ex05}} (Jupyter NB), {{teaching:​2020summer:​prog:​course_material_05.zip|course material}} |
 | 27.05.2020 | [[teaching:​2020summer:​prog:​lecture06|Tabular Data Analysis]] ({{teaching:​2020summer:​prog:​slides06.pdf|slides}}) | {{teaching:​2020summer:​prog:​exercises06.pdf|Ex06}} (PDF), {{teaching:​2020summer:​prog:​exercises06.ipynb|Ex06}} (Jupyter NB), {{teaching:​2020summer:​prog:​course_material_06.zip|course material}} | | 27.05.2020 | [[teaching:​2020summer:​prog:​lecture06|Tabular Data Analysis]] ({{teaching:​2020summer:​prog:​slides06.pdf|slides}}) | {{teaching:​2020summer:​prog:​exercises06.pdf|Ex06}} (PDF), {{teaching:​2020summer:​prog:​exercises06.ipynb|Ex06}} (Jupyter NB), {{teaching:​2020summer:​prog:​course_material_06.zip|course material}} |
-| 03.06.2020 ​| (break) || +| (break) |||
-| 10.06.2020 | (break) ​||+
 | 17.06.2020 | [[teaching:​2020summer:​prog:​lecture07|Applied Machine Learning]] ({{teaching:​2020summer:​prog:​slides07.pdf|slides}}) | {{teaching:​2020summer:​prog:​exercises07.pdf|Ex07}} (PDF), {{teaching:​2020summer:​prog:​exercises07.ipynb|Ex07}} (Jupyter NB), {{teaching:​2020summer:​prog:​course_material_07.zip|course material}} | | 17.06.2020 | [[teaching:​2020summer:​prog:​lecture07|Applied Machine Learning]] ({{teaching:​2020summer:​prog:​slides07.pdf|slides}}) | {{teaching:​2020summer:​prog:​exercises07.pdf|Ex07}} (PDF), {{teaching:​2020summer:​prog:​exercises07.ipynb|Ex07}} (Jupyter NB), {{teaching:​2020summer:​prog:​course_material_07.zip|course material}} |
 | 24.06.2020 | [[teaching:​2020summer:​prog:​lecture08|Databases & Distributed Computing]] ({{teaching:​2020summer:​prog:​slides08.pdf|slides}}) | {{teaching:​2020summer:​prog:​exercises08.pdf|Ex08}} (PDF), {{teaching:​2020summer:​prog:​exercises08.ipynb|Ex08}} (Jupyter NB), {{teaching:​2020summer:​prog:​course_material_08.zip|course material}} | | 24.06.2020 | [[teaching:​2020summer:​prog:​lecture08|Databases & Distributed Computing]] ({{teaching:​2020summer:​prog:​slides08.pdf|slides}}) | {{teaching:​2020summer:​prog:​exercises08.pdf|Ex08}} (PDF), {{teaching:​2020summer:​prog:​exercises08.ipynb|Ex08}} (Jupyter NB), {{teaching:​2020summer:​prog:​course_material_08.zip|course material}} |
-| 01.07.2020 | [[teaching:​2020summer:​prog:​lecture09|Advanced Programming]] ({{teaching:​2020summer:​prog:​slides09.pdf|slides}}) | {{teaching:​2020summer:​prog:​course_material_09.zip|course material}} |+| 01.07.2020 | [[teaching:​2020summer:​prog:​lecture09|Advanced Programming]] ({{teaching:​2020summer:​prog:​slides09.pdf|slides}}) | {{teaching:​2020summer:​prog:​exercises09.pdf|Ex09}} (PDF), {{teaching:​2020summer:​prog:​exercises09.ipynb|Ex09}} (Jupyter NB), {{teaching:​2020summer:​prog:​course_material_09.zip|course material}} |
 | 08.07.2020 |  | -- | | 08.07.2020 |  | -- |
 | 15.07.2020 | Exam  || | 15.07.2020 | Exam  ||