Big Data Systeme (Wintersemester 2022/2023)
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:
General Information
- Weekly Hours: 4
- Credits: 6
- Graded:
yes
- Enrolment Deadline: 01.10.2022 - 31.10.2022
- Examination time §9 (4) BAMA-O: 09.02.2023
- Teaching Form: Lecture / Exercise
- Enrolment Type: Compulsory Module
- Course Language: English
Programs, Module Groups & Modules
- IT-Systems Engineering
- IT-Systems Engineering
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge
- 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
- Data Engineering
- HPI-DA-SYS Data Systems Foundations
- HPI-SSE-C Conceptual Foundations
- HPI-SSE-D Data Foundations
- SECA: Security Analytics
- HPI-SECA-K Konzepte und Methoden
- SECA: Security Analytics
- HPI-SECA-T Techniken und Werkzeuge
- SECA: Security Analytics
- HPI-SECA-S Spezialisierung
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