Fwd: Synthetic Data online course - 8 weeks

[Nobuaki Hoshino]

PPDUの皆様

金沢大の星野と申します。ご興味がある方がいらっしゃる
かもしれないと思ったので転送します。Drechslerさんは
synthetic dataの有名な専門家です。

---------- Forwarded message ----------
From: Drechsler Jörg <Joerg.D...@iab.de>
Subject: Synthetic Data online course - 8 weeks

Apologies for cross-posting. Please share with interested students.

***
Want to learn something new?
How about an introduction to statistical disclosure control and
generating synthetic survey data?

The course material is entirely online but requires weekly online
discussions about the material with the instructor. You don’t have to
be part of a degree program at the Univ of Maryland to enroll.

Course: Data Confidentiality and Statistical Disclosure Control
Instructor: Jörg Drechsler, IAB
Date: Mondays 11 am – 11:50pm (EST) /5pm – 5:50pm (CET)
Begins: April 4, 2016
Duration: 8 weeks (2 credits)
Language: English
Software: R

This course will provide a detailed overview of the topic, covering
all important aspects relevant for the synthetic data approach.
Starting with a short introduction to data confidentiality in general
and synthetic data in particular, the course will discuss the
different approaches to generating synthetic datasets in detail.
Possible modeling strategies and analytical validity evaluations will
be assessed and potential measures to quantify the remaining risk of
disclosure will be presented. Finally, chances and obstacles of the
idea will be discussed. To provide the participants with hands on
experience, all steps will be illustrated using simulated and real
data examples in R.

Visit http://jointprogram.umd.edu/programs/online for instructions on
how to enroll as an Advanced Special Student. Let us know at
jpsm-c...@umd.edu that you are interested so that we can get you
into the class even if your enrollment is still in process.



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Dr. Jörg Drechsler
Kompetenzzentrum Empirische Methoden
Institut für Arbeitsmarkt- und Berufsforschung
der Bundesagentur für Arbeit
Regensburger Str. 104
90478 Nürnberg
Tel.: 0911/ 179 4021
Fax: 0911/ 179 1728