Big Data Systeme (Wintersemester 2023/2024)

Lecturer: Prof. Dr. Tilmann Rabl (Data Engineering Systems) , Nils Straßenburg (Data Engineering Systems) , Ricardo Salazar Diaz (Data Engineering Systems)
Further information on contents, examination and dates are available here:
Course Website: https://hpi.de/en/rabl/teaching/winter-term-2023-24/big-data-systems.html

General Information

Weekly Hours: 4
Credits: 6
Graded: yes
Enrolment Deadline: 01.10.2023 - 31.10.2023
Examination time §9 (4) BAMA-O: 07.02.2024
Teaching Form: Lecture / Exercise
Enrolment Type: Compulsory Module
Course Language: English

Programs, Module Groups & Modules

IT-Systems Engineering MA

IT-Systems Engineering
- HPI-ITSE-A Analyse
IT-Systems Engineering
- HPI-ITSE-M Maintenance
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge

Data Engineering MA

Digital Health MA

SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-C Concepts and Methods
SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-T Technologies and Tools
SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-S Specialization
DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-C Concepts and Methods
DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-T Technologies and Tools
DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-S Specialization
APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-T Technologies and Tools
APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-S Specialization
APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-C Concepts and Methods

Cybersecurity MA

Software Systems Engineering MA

HPI-SSE-D Data Foundations

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