626.013 (22S) Experiment/Study Planning and Data Analysis

Sommersemester 2022

Registration deadline has expired.

First course session
07.03.2022 10:00 - 12:00 N.2.57 On Campus
... no further dates known

Overview

Due to the COVID-19 pandemic, it may be necessary to make changes to courses and examinations at short notice (e.g. cancellation of attendance-based courses and switching to online examinations).

For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
Lecturer
Course title german Experiment/Study Planning and Data Analysis
Type Lecture - Course (continuous assessment course )
Course model Attendance-based course
Hours per Week 2.0
ECTS credits 4.0
Registrations 8 (25 max.)
Organisational unit
Language of instruction English
Course begins on 07.03.2022
eLearning Go to Moodle course
Remarks (english)

If COVID-19 regulations permit, classes will be held at the university. Otherwise, classes will take place online, using BigBlueButton/Moodle.

Time and place

Please note that the currently displayed dates may be subject to change due to COVID-19 measures.
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Course Information

Intended learning outcomes

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

Teaching methodology

discussions • presentations • literature research • hands-on in-class exercices

Course content

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.

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Examination methodology

discussions • presentation • summary paper

Examination topic(s)

See Course overview above.

Assessment criteria / Standards of assessment for examinations

The final grade depends on the overall quality, completeness, and correctness of the work items (participation in discussions, the presentation, and the summary paper) according to the following grading scheme.

Grade 1 – Excellent
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
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
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
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
The work item is incomplete or of lower quality. The points are not well articulated or thorough enough. The work item may contain significant clarity, structure, or presentation problems.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Thematic Doctoral Programme Informatics (SKZ: ---, Version: 17W.1)
    • Subject: Informatics (Compulsory subject)
      • Informatics ( 0.0h XX / 0.0 ECTS)
        • 626.013 Experiment/Study Planning and Data Analysis (2.0h VC / 4.0 ECTS)
  • Doctoral programme Doctoral programme in Technical Sciences (SKZ: 786, Version: 12W.4)
    • Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums (Compulsory subject)
      • Studienleistungen gem. § 3 Abs. 2a des Curriculums ( 16.0h XX / 32.0 ECTS)
        • 626.013 Experiment/Study Planning and Data Analysis (2.0h VC / 4.0 ECTS)

Equivalent courses for counting the examination attempts

Sommersemester 2024
  • 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)