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Intensive Short Courses at the BSPH

Participants in the Intensive Short Courses (ISC) acquire in-depth knowledge with a methodological focus on a specialized topic in public health and epidemiology.

The ISCs are aimed at PhD students and students from public health master's programs and external participants from Germany and abroad and professionals.

Past courses are listed in the archive.

 

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Intensive Short Courses:

  • are held in cooperation with lecturers from renowned universities and research institutes from Germany and abroad
  • are part of the postgraduate programs offered by the Institute of Public Health at Charité - Universitätsmedizin Berlin
  • usually offered in English
  • award ECTS credits
  • require a performance assessment

Places are allocated according to the date of registration (first come first serve).

Unfortunately we are unable to offer funding assistance. Please contact scholarship opportunities such as DAAD directly to see if they have funding available.

Intensive Short Courses 2022

Malcolm Barrett: Mastering R for Epidemiologic Research, April and August 2022

Advanced Epidemiologic Methods: Mastering R for Epidemiologic Research

ASYNCHRONOUS ONLINE COURSES, 40 (virtual) seats

The course is for researchers, public health professionals, epidemiologists, and clinicians who want to improve their R coding skills, who want to learn modern tools in the R ecosystem, like the tidyverse and Shiny, or who want to get started writing software in R.

There will be two "Advanced Epidemiologic Methods: Mastering R for Epidemiologic Research" courses this Summer:

  • 11 - 19 April 2022 asynchronous online course
  • 22 - 26 August 2022 asynchronous online course. See online course details below.

Lecturer: Malcolm Barrett, PhD
Malcolm Barrett is a data scientist and an epidemiologist. During his Ph.D., he studied vision loss and quality of life and has since worked in the private sector, including Teladoc Health and Apple. He regularly contributes to open source software, including favorite community projects like usethis, ggplot2, R Markdown.

Learning objectives:
At the end of the course, participants will have:

  • Mastered the tidyverse, a set of principled tools for data science. The tidyverse is a friendly, readable, and fast set of packages intended to work well together, improve code readability, and make analyses more reproducible.
  • Written dynamic documents using best practices for reproducible research, including using R Markdown. R Markdown intertwines code and text so that reports and articles are fully reproducible and exportable to PDF, HTML, Word, and more. R Markdown also has excellent support for citation management and formatting for journals.
  • Modeled simple statistical problems using linear and logistic regression.
  • Advanced participants will also have the option to explore additional topics in R Markdown, Shiny, and code pipelines.

Pre-requisites:
Basic epidemiology and statistics. Some experience with R programming will be helpful, but those new to R can take a free introductory course on DataCamp: https://www.datacamp.com/courses/free-introduction-to-r  

Materials:
R is a free open source programming language and tool for statistics. For the hands-on exercises, you can either use RStudio Cloud (advantage: “plug-and-play”, no need to install anything) or download and install the most recent version of R (https://www.r-project.org/) as well as RStudio (https://rstudio.com/products/rstudio/download/).

About the online format - April course:

  • This is an asynchronous online course. The course consists of 40 teaching units of material organized into 5 full workdays (8 units / hours of student investment time per workday).
  • Course material will be made available on Friday, April 8th and will remain available through Wednesday, April 27th, 2022 (we have allowed for an extra two days because of the Easter holidays). An office hour to help with access and setup will be available on Friday, April 8th.
  • Live office hour support will be provided every day between Monday, April 11th and Thursday, April 14th and on April 19th from 4-5pm (Berlin time) by the Instructor, Malcolm Barrett (based in Los Angeles) as well as by a TA earlier in the day. The office hours are optional. 
  • Students who can devote a full work day to the class should be able to complete all the required work in the first week and can hand in their proof of achievement on Wednesday, April 20th, 2022.
  • Students may opt to complete the course over the course of two weeks. However, only reduced office hour support will be available in the second week. The last opportunity for students to hand in their proof of achievement is Wednesday, April 27th, 2022.
  • Course material will be available via Blackboard (guest access to Blackboard will be provided before the beginning of the course)
  • Students will need to complete and submit 4 assignments (online) in order to receive ECTS credit. If you only want a certificate of participation, you will need to submit all assignments showing reasonable effort (i.e. at least 20 points to “pass”).
  • To maximize flexibility all around, the course will be entirely asynchronous. That is, students can work entirely at their own pace. The content is equivalent to a one week, 40 hour, full-time course with 3 ECTS. Some content will be clearly marked as “optional” for those who want to take a “deeper dive”, seek additional examples and/or want to learn more advanced programming skills. Those who are less advanced can skip these sections.

About the online format - August course:

  • This is an asynchronous online course. The course consists of 40 teaching units of material organized into 5 full workdays (8 units / hours of student investment time per workday).
  • Course material will be made available on Friday, August 19th and will remain available through Friday, August 26th, 2022. An office hour to help with access and setup will be availableon Friday, August 19th.
  • Live office hour support will be provided every day between Monday, August 22nd and Friday, August 26th (Berlin time) by the Instructor, Malcolm Barrett (based in Los Angeles) as well as by a TA earlier in the day. The office hours are optional. 
  • Students who can devote a full work day to the class should be able to complete all the required work in the first week and can hand in their proof of achievement on Friday, August 26th, 2022.
  • Students may opt to complete the course over the course of two weeks. However, only reduced office hour support will be available in the second week. The last opportunity for students to hand in their proof of achievement is Friday, September 2nd, 2022.
  • Course material will be available via Blackboard (guest access to Blackboard will be provided before the beginning of the course)
  • Students will need to complete and submit 4 assignments (online) in order to receive ECTS credit. If you only want a certificate of participation, you will need to submit all assignments showing reasonable effort (i.e. at least 20 points to “pass”).
  • To maximize flexibility all around, the course will be entirely asynchronous. That is, students can work entirely at their own pace. The content is equivalent to a one week, 40 hour, full-time course with 3 ECTS. Some content will be clearly marked as “optional” for those who want to take a “deeper dive”, seek additional examples and/or want to learn more advanced programming skills. Those who are less advanced can skip these sections.

Course Information:

  • Course language: English
  • ECTS points: 3
  • Course Fee: 510 € for students (proof of enrollment required), 750 € for other participants

Registration:
Please use the registration form or send an e-mail to Tanja Te Gude

Tel. +49 30 450 570 812

 

 

Fabian Prasser and Team: Introduction to Medical Informatics, 5 - 9 September 2022

Partly asynchronous online course, 30 (virtual) seats

5 - 9 September 2022

Learning objectives
The aim of this introductory course is to provide the students with an overview of important areas of medical informatics. This will enhance the students’ abilities to assess and work with medical informatics technologies. The course will introduce the students to information systems and standards in health care as well as in the medical research context. The students will further learn about the most relevant data processing methods as well as data integration and data sharing approaches. The course content also covers further topics of practical relevance, such as information security and data protection, software development methods and open science approaches in medicine. Graduates of this course should be able to assess opportunities and risks presented by data-driven approaches in healthcare and medical research.

Format

  • Asynchronous lectures and assignments + live exercises and office hours.
  • The course consists of teaching units that are a combination of digital lectures and hands-on exercises (not graded) plus four graded assignments. Lectures will be pre-recorded, while exercises will be held live. Additional instructor/TA support will be available via virtual office hours.
  • The course starts on September 5th, 2022 and consists of 25 teaching units of material organized into 5 days. We encourage students to work through these units within this schedule, as we will offer live exercises and (optional) office hour support via MS Teams throughout these 5 days.
  • Proof of achievement: To earn the 2.5 ECTS credit points, students will need to complete and submit four assignments on or before Sept. 23rd, 2022. We will provide instructions on how to submit them during the lectures. To make things more flexible, we are allowing submissions of the assignments up to 3 weeks from the course start date (Note: the live office hour support only runs the first week! Please plan accordingly.)
    If you only want a certificate of participation, you just need to submit all assignments showing reasonable effort (i.e., at least 20 points to “pass”).
  • Course material will be available via Blackboard (guest access to Blackboard will be provided before the beginning of the course).

Link Timetable

Optional live office hours
The course instructor and TAs will offer optional interactive office hours via MS Teams each day over the 5-day course period at 4pm-5pm. The link will be provided via “Blackboard”.

Course Information:

  • Course language: English
  • ECTS points: 2,5
  • Course Fee: 425 € for students (proof of enrollment required), 625 € for other participants

Registration:
Please use the registration form or send an e-mail to Tanja Te Gude

Tel. +49 30 450 570 812

 

 

Registration Intensive Short Courses










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