An overview of all lectures, courses and seminars of the University of Cologne can be seen in KLIPS 2.0: Anmelden - KLIPS 2.0 - Universität zu Köln (uni-koeln.de) (Faculty -> Faculty of Medicine -> Division -> Courses)

Some of these lectures and seminars might be of interest (according to your project) for postgraduates of the Interdisciplinary Program Health Sciences at the University of Cologne. 

In addition to courses and seminars on a regular basis during the semester guest speaker seminars can also be taken. For guest speaker seminars please visit: http://www.life-science-vortraege.uni-koeln.de/ or the annoucements of the University of Cologne or the University Hospital Cologne.

The next workshop on Good Scientific Practice lectured in English by Prof. Dr. Nicole Skoetz will take on the following dates:

1. Tuesday 19.11.24, 09:15-11:15 (2 hrs) in the lecture hall V LFI (Kerpener Str., 62, 50931 Köln)

2. Wednesday 20.11.24, 09:15-11:15 (2 hrs) in the lecture hall V LFI (Kerpener Str., 62, 50931 Köln)

Course Language: English

Please note, both dates are mandatory to complete the module (you will receive a participation certificate). Please register here (deadline for registration 12.11.24).

The next workshop on "Research Ethics and Theory of Science" lectured by Dr. Christian Hick (Institute for the History and Ethics of Medicine) will take place next summer term 2025. A call for registration will be announced in due time.

The next workshop on Statistics with the Software "R" lectured in English by Prof. Dr. A. Tresch will take place each Thursday (lecture: 10-12 am / practical course: 1-3 pm) on the following 6 dates: 

    07.11.24 10:00–15:00
    14.11.24 10:00–15:00
    21.11.24 10:00–15:00
    28.11.24 10:00–15:00
    05.12.24 10:00–15:00
    12.12.24 10:00–15:00

Please note, five out of six dates are mandatory to complete the module (you will receive a participation certificate). Please register here (deadline for registration 31.10.24).

Below you will find further details of this year's statistics workshop. Please note the "Prior Knowledge" part.

Learning Competencies

This workshop teaches the basics of data analysis using the programming language R on RStudio Server Pro. You will learn to apply statistics to high-dimensional, biological data. You will acquire a repertoire of computer-based methods for supervised and unsupervised learning tasks and estimation problems as they occur in life science data. You will become aware of the peculiarities of high-dimensional statistics and large data sets (e.g. curse of dimensionality and multiple testing) and will learn to critically assess third-party analyses.

Contents

Data description, Hypothesis testing, Clustering, Dimensionality reduction, Data visualization, Regression and linear models, Classification, Cross Validation and Bootstrapping, Feature selection, Reproducibility.

Prior Knowledge

A solid understanding of the basic statistics taught in foundation courses is required. Experience with the R programming language in particular is not necessary, but rudimentary knowledge of programming is. This workshop focuses on the application of statistical methods and not programming. Skills in other scripting languages, like Python for example, can be easily transferred to R.

The workshop makes use of an RStudio Server Pro instance. VPN access to the UKLAN and a current web browser is required.

For further lectures and courses offered by the Institute for Medical Statistics and Bioinformatics please click here.

You can find a selection of courses for your mandatory module "Working and Publishing in Science / Science Communication" and further offers here.

04.02.2025, 2.30 – 3.30 pm , CIO (Seminar room 6, ground floor). Please register here.

Course Language: English.

Target group: Late-stage PhD students.

Workshop concept: During the workshop you will get an overview of the most common funding opportunities for PostDocs including postdoctoral fellowships, research stays abroad and funding for independent junior research groups. You will learn to identify funding opportunities that suit your project idea and personal situation. There will be room for discussion during the Q&A session and after the workshop (optional 10-minute one-to-one sessions). You are encouraged to bring your questions to the workshop.

Trainer: Dr. Simona Walker has been working at the Dean’s Office and the Vice Dean’s Office of Science - Translation - Transfer of the Medical Faculty since 2020. She advises scientists of the Medical Faculty at all career levels in applying for third-party funding from all funding agencies in the field of basic science. She supports the search for suitable funding opportunities, advises on formal requirements and gives feedback on funding proposals.