626.013 (24S) Experiment/Study Planning and Data Analysis
Überblick
- Lehrende/r
- LV-Titel englisch Experiment/Study Planning and Data Analysis
- LV-Art Vorlesung-Kurs (prüfungsimmanente LV )
- LV-Modell Präsenzlehrveranstaltung
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 4.0
- Anmeldungen 3 (25 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- LV-Beginn 12.04.2024
- eLearning zum Moodle-Kurs
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
Successful participants have gained:
- an understand of the fundamentals of the presented research methods
- confidence in explaining the methods they use in their own work and in explaining their research questions
- practice and skills in presenting (written and oral) research work
Lehrmethodik
discussions • oral presentations • literature research • review reports
Inhalt/e
In this course, participants learn from their peers about different research methods in Computer Science. Each participant will teach the method(s) that are central to their work. The course also includes sessions covering the fundamentals of designing user experiments/studies and qualitative and quantitative evaluation/analysis approaches.
Prüfungsinformationen
Prüfungsmethode/n
discussions • peer reviews • presentation • summary paper
Prüfungsinhalt/e
See Course overview above.
Beurteilungskriterien/-maßstäbe
The Use of AI-based Tools
For didactic reasons, the following rules apply to the written assignments:
- The use of AI-based applications is only permitted for spell and syntax checking. That is, AI writing assistants (for example Grammarly and DeepL) are allowed (and should be used).
- If there is any suspicion of questionable and unpermitted use of AI tools (beyond spelling and syntax checking), there will be an oral "debriefing" to check the 'authorship' of the written work.
The final grade depends on the overall quality, completeness, and correctness of the work items (participation in discussions, the peer-feedback reports, the oral presentation, and the summary paper) according to the following grading scheme.
Grade 1 – Excellent: 89 – 100 percent points
The work item is complete and of superior quality. The work item is very well written, has a professional touch, and is profound. The student is very reflective and insightful. The work item may contain very few clarity, structure, or presentation problems.
Grade 2 – Good: 76 – 88 percent points
The work item is complete and of high quality. The work item is well written and in-depth. The student is reflective and insightful. The work item may contain few clarity, structure, or presentation problems.
Grade 3 – Satisfactory: 63 – 75 percent points
The work item is complete and of good quality, but several points could be better articulated, be more insightful, or more thorough. The work item may contain some clarity, structure, or presentation problems.
Grade 4 – Sufficient: 50 – 62 percent points
The work item is mostly complete and of satisfactory quality, but most points could be better articulated, be more insightful, or more thorough. The work item contains clarity, structure, or presentation problems.
Grade 5 – Failed: 0 – 49 percent points
The work item is incomplete or of lower quality. The points are not well articulated or thorough enough. The work item contains significant clarity, structure, or presentation problems.
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Doktoratsprogramm Informatics
(SKZ: ---, Version: 17W.1)
-
Fach: Informatics
(Pflichtfach)
-
Informatics (
0.0h XX / 0.0 ECTS)
- 626.013 Experiment/Study Planning and Data Analysis (2.0h VC / 4.0 ECTS)
-
Informatics (
0.0h XX / 0.0 ECTS)
-
Fach: Informatics
(Pflichtfach)
- Doktoratsprogramm Information and Communications Engineering
(SKZ: ---, Version: 23W.1)
-
Fach: Information and Communications Engineering
(Pflichtfach)
-
Information and Communications Engineering (
0.0h XX / 0.0 ECTS)
- 626.013 Experiment/Study Planning and Data Analysis (2.0h VC / 4.0 ECTS)
-
Information and Communications Engineering (
0.0h XX / 0.0 ECTS)
-
Fach: Information and Communications Engineering
(Pflichtfach)
- Doktoratsstudium Doktoratsstudium der Technischen Wissenschaften
(SKZ: 700, Version: 18W.1)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
0.0h XX / 32.0 ECTS)
- 626.013 Experiment/Study Planning and Data Analysis (2.0h VC / 4.0 ECTS)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
0.0h XX / 32.0 ECTS)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)
Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung
-
Sommersemester 2022
- 626.013 VC Experiment/Study Planning and Data Analysis (2.0h / 4.0ECTS)
-
Sommersemester 2020
- 626.013 VC Experiment/Study Planning and Data Analysis (2.0h / 4.0ECTS)
-
Sommersemester 2018
- 626.013 VC Experiment/Study Planning and Data Analysis (2.0h / 4.0ECTS)
-
Sommersemester 2013
- 626.013 VK Kreative Methoden: Wie blockierte Denk-und Forschungsprozesse wieder in Fluss kommen (1.0h / 2.0ECTS)