Hasso-Plattner-Institut25 Jahre HPI
Hasso-Plattner-Institut25 Jahre HPI

Machine Learning for Image Analysis (Sommersemester 2024)

Lecturer: Prof. Dr. Dagmar Kainmueller (Integrative Imaging Data Science)

General Information

  • Weekly Hours: 4
  • Credits: 6
  • Graded: yes
  • Enrolment Deadline: 01.04.2024 - 30.04.2024
  • Examination time §9 (4) BAMA-O: 24.07.2024
  • Teaching Form: Lecture / Exercise
  • Enrolment Type: Compulsory Elective Module
  • Course Language: English

Programs, Module Groups & Modules

IT-Systems Engineering MA
Data Engineering MA
Digital Health MA
Software Systems Engineering MA
  • MALA: Machine Learning and Analytics
    • HPI-MALA-C Concepts and Methods
  • MALA: Machine Learning and Analytics
    • HPI-MALA-T Technologies and Tools
  • MALA: Machine Learning and Analytics
    • HPI-MALA-S Specialization


NOTE: we switch to room L.1-02!!

The course will introduce machine learning methods for image analysis, with a focus on deep learning. The aim is to convey state of the art methodology for solving problems like image classification, semantic segmentation, instance segmentation and object detection. Topics will include supervised and self-supervised learning with convolutional and transformer neural networks, model interpretability and generative models.

Moodle Link: https://moodle.hpi.de/course/view.php?id=733


Prerequisites: Basic knowledge of linear algebra and multivariate analysis. Basic programming skills in Python. Basic knowledge of machine learning, comprising linear and logistic regression, regularized regression, and gradient descent. 


We will have a final written exam (100% Grading). Exam Date is July 24

Prerequisite for participation in the exam is attaining at least 50% of the possible points in the exercises during the course. There will be pen&paper exercises as well as programming exercises.



morning session 11am-12:30pm &
afternoon session1:30pm-3pm

Room L-1.02

Exam: 07/24/2024 1pm in HS1

For further questions please contact christoph.karg(at)hpi.uni-potsdam.de