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Root number
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464918 |
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Semester
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FS2026 |
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Type of course
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Lecture |
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Allocation to subject
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Molecular Life Sciences |
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Type of exam
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Written exam |
| Title |
Numerical Analysis of High Dimensional Data: From Simple Statistics to Multifactorial Data Integration |
| Description |
Access to large quantities of data is becoming a reality in many disciplines. Yet, the bottleneck is often how to make sense of complex datasets by using appropriate statistical tools. The course will offer an overview of common statistical approaches that address this issue. The lecture series will start by presenting simple statistical approaches (descriptive statistics, linear model, correlation, t-test, ANOVA), and will build on those to progress towards more advanced statistical methods (dimensional reduction approaches, matrix representation and comparison, and conjoint analysis of multiple tables) that deal with high dimensional data often found in the medical and the biological sciences. Each lecture unit is split into theoretical and hands-on parts using the statistical language R, so that students can make the connection between concepts and implementation more easily.
Note: Students must bring their own computers with R (https://cran.rstudio.com/) and RStudio (https://www.rstudio.com/products/rstudio/download/#download) pre-installed on their own machine.
No extensive knowledge of the free software R and RStudio is required. Recommended is, before the beginning of the course, to run the examples of: Appendix A "A sample session" from https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Alban Nicolas Ramette, Institute for Infectious Diseases - Research ✉
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ECTS
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3 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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| Dates |
Monday 15:15-17:00 Weekly
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Tuesday 26/5/2026 15:15-16:00
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Tuesday 25/8/2026 13:30-14:30
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Rooms
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| External rooms |
Lecture room, 1st floor, Institute for Infectious Diseases (IFIK), Friedbühlstrasse 25
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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