Computer scientists build complex systems or choose among existing systems to satisfy perceived needs and requirements. The system is then deployed in an environment consisting of humans and other systems. How do we know the impact of the system on the environment and how well it meets the perceived requirements? A fundamental skill in informatics is the ability to design experiments for evaluating computer systems. In this course, the students will acquire a basic understanding of how to design such experiments and what pitfalls to avoid during design and experimentation. Basic concepts of experimental design, data measurement, qualitative and quantitative evaluation, and evaluation with and without users will be covered.
Lectures, presentations, homework assignments and in-class discussions.
No mandatory textbook will be used. Handouts will be provided. However, students are encouraged to complement their reading with one or more of the following sources:
- E. J. Davidson: Evaluation Methodology Basics. Sage 2004, 280 pages.
- A. Field, G. Hole: How to Design and Report Experiments. Sage 2003, 384 pages.
- Claes Pohlin et al.: Experimentation in Software Engineering. Springer-Verlag 2012, ISBN-13: 978-3642290435.
|Evaluation and Experimentation in Informatics 2018||Fall|
|Evaluation and Experimentation in Informatics 2017||Fall|
|Evaluation and Experimentation in Informatics 2015||Spring|
|Evaluation and Experimentation in Informatics 2013||Fall|
|Evaluation and Experimentation in Informatics 2012||Fall|| |