Graduate School of health and Medical Sciences

Python Tsunami - Part 1
Provider: Faculty of Health and Medical Sciences

Activity no.: 3924-22-00-01
	Enrollment deadline: 07/06/2022

Date and time	20.06.2022, at: 08:45 - 21.06.2022, at: 17:30
Regular seats	30
Course fee	2,640.00 kr.
Lecturers	Anders Krogh
ECTS credits	1.70

Contact person	Henrike Zschach E-mail address: henrike.zschach@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

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 enrolment 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 graduate schools in the other Nordic countries. 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. Define and explain the use of basic programming concepts in Python, such as variables and data types and structures including lists, dictionaries, dataframes, etc. and perform elementary programming tasks needed for data analysis in Python. 2. Draw on online resources, especially documentation of different packages and community help forums to debug Python programs and acquire new knowledge and skillsets. 3. Know the different use cases of key Python libraries for data collection and analysis, including pandas and matplotlib. 4. Understand how to structure Python scripts and Jupyter notebooks and how to collaborate with others on Python code using Google Colaboratory. 5. Use Python for simple programming and data analysis tasks in relation to scientific research projects. Content The course will first introduce the programming language in general, its strengths and use cases, and we will demonstrate how to run Python code in Jupyter Notebooks using Google Colaboratory. The course will provide an overview of the fundamental Pythonic data types and data structures such as strings, floats, integers, boolean, lists, dictionaries etc., and participants will learn about conditional statements, how to write loops and how to organize code in functions. Lastly, the course will cover several libraries, especially pandas and library matplotlib, which allow for efficient data manipulation and visualization. Participants The course is intended for PhD students at SUND who are interested in learning how to use Python and who have no prior experience with this (or any other) programming/scripting languages. The course teaches the fundamentals and is targeted towards medical and biological researchers, e.g. not targeted towards students in data science, although they are of course welcome to join the course. 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: All graduate programmes Language English Form The course is a combination of: 1. Lectures (run in real time in Jupyter Notebooks on Google Colab). 2. In-plenum exercises which are introduced and discussed during the lectures. 3. Longer exercises done collaboratively in smaller groups of participants. Course director Anders Krogh, Professor, Head of Center for Health Data Science, Center for Health Data Science, anders.krogh@sund.ku.dk Teachers Tugce Karaderi, Assistant Professor, Center for Health Data Science, tugce.karaderi@sund.ku.dk Iñigo Prada Luengo, PhD, PostDoc, Department of Computer Science, inlu@diku.dk Henrike Zschach PhD, Data Scientist, Center for Health Data Science, pnv719@ku.dk Viktoria Schuster, MSc, PhD Student, Center for Health Data Science, viktoria.schuster@sund.ku.dk Rita Freitas Colaco PhD, Dataspecialist, Novo Nordisk Foundation Center for Protein Research, rita.colaco@sund.ku.dk Jose Alejandro Herrera Romero PhD, Akademisk medarbejder FU, Center for Health Data Science jose.romero@sund.ku.dk Dates The course will run on Monday 20th and Tuesday 21st of June from 08:45 to 17:30. Course location Holst auditorium, Maersk Tower, Faculty of Health and Medical Sciences, Panum, Blegdamsvej 3B, 2200 København. Registration Please register before 20-05-2022 Seats to PhD students from other Danish universities will be allocated on a first-come, first-serve basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrollment. 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.

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