Viggo Kann

Viggo Kann is a Professor of Computer Science at the Royal Institute of Technology (KTH) in Stockholm, Sweden, holding this position since 2000. He serves as Director of Studies in the Theoretical Computer Science department at KTH's School of Electrical Engineering and Computer Science, a role he has maintained since 1998 with a brief interruption from 2012-2015. One-fifth of his time is dedicated to the Department of Learning, where he teaches courses on examinership and developing learning with grading criteria. He also chairs KTH's Language Committee and coordinates the director of studies network, PA network, PriU groups, and major institutional events.

Professor Kann's research spans language technology and computer didactics, with current projects focusing on examination quality and diversity, cheating prevention, examiner training, and program-coordinating courses. His work bridges theoretical computer science with practical educational applications, particularly in assessment methodologies and educational technology.

His recent publications reveal a strong emphasis on educational aspects of computer science, examining student behavior, programming fluency, and the impact of emerging technologies like ChatGPT on academic integrity. He has also published extensively on language technology, including grammar checking systems and natural language processing tools for Swedish language processing.

As examiner and course coordinator, Professor Kann oversees multiple courses including Algorithms, Data Structures and Complexity (DD2350), Ethics in Introduction to Computer Science (DD1348), and various specialized degree projects across industrial economics, machine learning, systems engineering, robotics, and communication systems. His leadership in educational development initiatives at KTH demonstrates significant institutional influence in shaping educational policies and practices.