Probability and Computing (Sommersemester 2023)
Lecturer:
Prof. Dr. Tobias Friedrich
(Algorithm Engineering)
,
Dr. Andreas Göbel
(Algorithm Engineering)
,
Dr. Samuel Baguley
(Algorithm Engineering)
Further information on contents, examination and dates are available here:
Course Website:
https://hpi.de/en/friedrich/teaching/ss23/probcomp.html
General Information
- Weekly Hours: 4
- Credits: 6
- Graded:
yes
- Enrolment Deadline: 01.04.2023 - 07.05.2023
- Teaching Form: Lecture / Exercise
- Enrolment Type: Compulsory Elective Module
- Course Language: English
- Maximum number of participants: 30
Programs, Module Groups & Modules
- ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-K Konzepte und Methoden
- ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-T Techniken und Werkzeuge
- ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-S Spezialisierung
- DANA: Data Analytics
- HPI-DANA-K Konzepte und Methoden
- DANA: Data Analytics
- HPI-DANA-T Techniken und Werkzeuge
- DANA: Data Analytics
- HPI-DANA-S Spezialisierung
- 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
- HPI-SSE-C Conceptual Foundations
- MODA: Models and Algorithms
- HPI-MODA-C Concepts and Methods
- MODA: Models and Algorithms
- HPI-MODA-T Technologies and Tools
- MODA: Models and Algorithms
- HPI-MODA-S Specialization
- 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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