Hasso-Plattner-Institut25 Jahre HPI
Hasso-Plattner-Institut25 Jahre HPI
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Biostatistics & Epidemiological Data Analysis using R (Wintersemester 2023/2024)

Lecturer: Dr. rer. nat. Stefan Konigorski (Digital Health - Machine Learning)
Course Website: https://moodle2.uni-potsdam.de/course/view.php?id=39223

General Information

  • Weekly Hours: 4
  • Credits: 6
  • Graded: yes
  • Enrolment Deadline: 01.10.2023 - 31.10.2023
  • Examination time §9 (4) BAMA-O: 15.02.2024
  • Teaching Form: Lecture / Exercise
  • Enrolment Type: Compulsory Elective Module
  • Course Language: English
  • Maximum number of participants: 60

Programs, Module Groups & Modules

IT-Systems Engineering MA
Data Engineering MA
Digital Health MA
Software Systems Engineering MA
  • DSYS: Data-Driven Systems
    • HPI-DSYS-C Concepts and Methods
  • DSYS: Data-Driven Systems
    • HPI-DSYS-T Technologies and Tools
  • DSYS: Data-Driven Systems
    • HPI-DSYS-S Specialization

Learning

  • Lectures with interactive practical exercises in R
  • Tutorials with discussion of homework

Dates

Lecture:
Wednesday Block (3:15pm-6:30pm), D.-E.9/10

Excercises:
Tuesday 5.00pm-6:30pm, online through zoom (link available below in timetable and in Moodle)

Link to Moodle where you can subscribe, find the zoom link and all other materials and information about the course: https://moodle2.uni-potsdam.de/course/view.php?id=39223

Timetable

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