TU Wien:Data Acquisition and Survey Methods VU (Klaus Nordhausen)

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Daten[Bearbeiten | Quelltext bearbeiten]

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Vortragende Klaus Nordhausen
ECTS 3
Sprache English
Links tiss:105708
Zuordnungen
Masterstudium Data Science

Mattermost: Channel "data-acquisition-and-survey-methods"RegisterMattermost-Infos

Inhalt[Bearbeiten | Quelltext bearbeiten]

noch offen, bitte nicht von TISS oder Homepage kopieren, sondern aus Studierendensicht beschreiben.

Ablauf[Bearbeiten | Quelltext bearbeiten]

Each class consists of lecture, discussion of the practial for the next session as well as students showing their solution of the current session's practical.

Attendance is mandatory and checked with lists to be signed.

Benötigte/Empfehlenswerte Vorkenntnisse[Bearbeiten | Quelltext bearbeiten]

Some R knowledge and also basic RMarkdown is definitely required. The R code for the exercises is usually quite simple and example code can often be found in lecture slides. Some basic statistical knowledge (e.g. t-tests, ANOVA) and basics of linear regression models are also required.

Vortrag[Bearbeiten | Quelltext bearbeiten]

In English. Lecture with slides, theoretic concepts, terminology, R code snippet examples. Usually, questions to audience and small discussions, questions from audience are in my opinion encouraged. [SS 2019: this is a totally new class, so this all may be subject to change]

Übungen[Bearbeiten | Quelltext bearbeiten]

Practicals, that is problem sets. Mostly to be solved with small R scripts. Sometimes a few lines are to be written about theoretical concepts and important terminology. The practicals are to be deliverd as PDFs, created using RMarkdown.

Prüfung, Benotung[Bearbeiten | Quelltext bearbeiten]

[SS2019] There is no exam. There is a final assignment, with 3 larger tasks to solve, similar to the practicals. Again in RMardkdown, as a report showing R code and wirtten conclusion statements. This is graded together with the submitted practicals towards a final grade.

Dauer der Zeugnisausstellung[Bearbeiten | Quelltext bearbeiten]

Semester Letzte Leistung Zeugnis
WS19 15.07.2019 21.01.2020 6 months

Zeitaufwand[Bearbeiten | Quelltext bearbeiten]

Attendance of classes and few hours for each week's practical. The final project is more work, expect a few days of work [iirc; from SS2019, the first time this class was held].

Unterlagen[Bearbeiten | Quelltext bearbeiten]

Lecture slides are provided on a per-session basis. One problem set for each practical (exercise).

Tipps[Bearbeiten | Quelltext bearbeiten]

For some of the presented models and concepts, I had to read a little in the literature to understand the ideas and applications better.

Verbesserungsvorschläge / Kritik[Bearbeiten | Quelltext bearbeiten]

noch offen


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