Approximation Algorithms (Sommersemester 2022)
Lecturer:
Prof. Dr. Tobias Friedrich
(Algorithm Engineering)
,
Dr. Davis Issac
(Algorithm Engineering)
,
Dr. Nikhil Kumar
(Algorithm Engineering)
Further information on contents, examination and dates are available here:
Course Website:
https://hpi.de/en/friedrich/teaching/ss22/approxalg.html
General Information
- Weekly Hours: 4
- Credits: 6
- Graded:
yes
- Enrolment Deadline: 01.04.2022 - 30.04.2022
- Examination time §9 (4) BAMA-O: 05.08.2022
- Teaching Form: Lecture
- Enrolment Type: Compulsory Elective Module
- Course Language: English
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
- DATA: Data Analytics
- HPI-DATA-K Konzepte und Methoden
- DATA: Data Analytics
- HPI-DATA-T Techniken und Werkzeuge
- DATA: Data Analytics
- HPI-DATA-S Spezialisierung
- SECA: Security Analytics
- HPI-SECA-K Konzepte und Methoden
- 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
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