Events Calendar

Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.


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Data Science for non-Data Scientists

September 19 - September 20

Aim and content

This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH.

Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrollment deadline, available seats will be allocated to the waiting list.

The course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at NorDoc member faculties. All other participants must pay the course fee.

Learning objectives
A student who has met the objectives of the course will be able to:
1. Understand the basic principles of data science, including machine learning techniques
2. Understand the prerequisites for data science, including machine learning
3. Identify aspects of own research with and without data science potential
4. Interpret critically studies that apply data science methods
5. Communicate fluently with data scientists

Content
The aim of the course is to introduce key concepts of data science and machine learning to researchers with no prior knowledge of data science. Specifically, course participants will gain the basic understanding and vocabulary necessary to a) identify data science aspects of their own research, b) communicate with data scientists so that projects between the researcher and the data scientists can be collaborative, and c) critically interpret studies that employ data science or machine learning methods.
Studentes are required to use software and is designed for the software R. No prior knowledge required.
Key words: Diagnostics, machine learning, deep learning, epidemiology, data science

Participants
PhD students in health and medcial sciences with no or very little knowledge of data science. The course is designed with a cardiovascular focus

Relevance to graduate programmes
The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH:
– Cardiovascular Research
– Veterinary Clinical Sciences
– Pharmaceutical Sciences (Drug Research Academy)

Language
English

Form
Lecutres, exercises, discussions

Course director
Thomas Jespersen, professor, Department of Biomedical Sciences, thojes@sund.ku.dk

Teachers
Jonas L. Isaksen, postdoc, Department of Biomedical Sciences, University of Copenhagen
Jørgen K. Kanters, Associate Professor, Department of Biomedical Sciences, University of Copenhagen
Oswin Krause, Assistant Professor, Department of Computer Science, University of Copenhagen
Malene Nørregaard, PhD-student, Department of Biomedical Sciences, University of Copenhagen

Dates
September 19th and 20th, 2024

Course location
Panum Institute

Registration
Please register before August 15th, 2024

Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules.
Applications from other participants will be considered after the last day of enrolment.

Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.

Details

Start:
September 19
End:
September 20
Event Category:
Event Tags:
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Website:
https://phdcourses.dk/Course/116234

Other

Event language
English
Event Type
PhD course
ECTS (leave empty for none)
1.7

Venue

Copenhagen
København, Denmark + Google Map