Truth discovery algorithms (Sommersemester 2020)

Lecturer: Prof. Dr. Felix Naumann (Information Systems) , Tobias Bleifuß (Information Systems) , Leon Bornemann (Information Systems)
Course Website: https://hpi.de/en/naumann/teaching/teaching/ss-20/truth-discovery-algorithms.html

General Information

Weekly Hours: 2
Credits: 3
Graded: yes
Enrolment Deadline: 06.04.2020 - 22.04.2020
Teaching Form: Seminar
Enrolment Type: Compulsory Elective Module
Course Language: English
Maximum number of participants: 8

Programs, Module Groups & Modules

IT-Systems Engineering MA

OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-S Spezialisierung
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge

Data Engineering MA

PREP: Data Preparation
- HPI-PREP-K Konzepte und Methoden
PREP: Data Preparation
- HPI-PREP-T Techniken und Werkzeuge
PREP: Data Preparation
- HPI-PREP-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

Requirements

There are no prerequisites except for being open and motivated to learn about truth discovery and related problems.

Literature

The seminar uses the following survey as a starting point: https://dl.acm.org/doi/10.1145/2897350.2897352

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