Syllabus

Contents
 

This course will build on the article on the methdology of algorithm engineering. Research on algorithms has drastically increased in recent years. Various sub-disciplines of computer science investigate algorithms according to different objectives and standards. This plurality of the field has led to various methodological advances that have not yet been transferred to neighboring sub-disciplines. The central roadblock for a better knowledge exchange is the lack of a common methodological framework integrating the perspectives of these sub-disciplines. It is the objective of this article to develop such a research framework for algorithm engineering. Our framework builds on three areas discussed in the philosophy of science: ontology, epistemology and methodology. The framework helps us to identify and discuss various validity concernsrelevant for any contribution on algorithms in various areas of computer science.

https://dl.acm.org/doi/abs/10.1145/3769071

Learning outcomes

The students will write a paper on their topic of choice related to AI, give a presentation, and engage in discussions.

Attendance requirements

The students should have prior knowledge on AI and technical research topics.

Teaching/learning method(s)

We will engage in presentations and discussions.

Assessment

Own presentation: 40%

Own paper: 40%

Discussions: 20%

Readings

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Availability of lecturer(s)

via email: jan.mendling@wu.ac.at

Last edited: 2026-06-30



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