626.013 (22S) Experiment/Study Planning and Data Analysis
Overview
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
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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
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
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 schemePosition in the curriculum
- Thematic Doctoral Programme Informatics
(SKZ: ---, Version: 17W.1)
-
Subject: Informatics
(Compulsory subject)
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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)
-
Subject: Informatics
(Compulsory subject)
- Doctoral programme Doctoral programme in Technical Sciences
(SKZ: 786, Version: 12W.4)
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Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Compulsory subject)
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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)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
16.0h XX / 32.0 ECTS)
-
Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Compulsory subject)
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)