Dr. Honavar has developed and taught graduate and undergraduate courses and seminars in Artificial Intelligence, Machine Learning, data mining, intelligent agents and multiagent systems, bioinformatics, computational systems biology, neural computation, information integration, probabilistic graphical models, and related areas. Catalog descriptions and information about scheduled offerings for the courses can be found here.

• Principles of Artificial Intelligence ComS 572 (472 DL).
• Machine Learning ComS 573.
• Elements of Neural Computation ComS 474.
• Computational Models of Learning ComS 672.
• Machine Learning Approaches in Bioinformatics and Computational Systems Biology
• Advanced Topics in Artificial Intelligence and Cognitive Modelling ComS 673.
• Artificial Intelligence Research Seminar ComS 610VH.
• Seminar on Intelligent Systems in Molecular Biology ComS 610VH.
• Intelligent Agents and Multi-Agent Systems Seminar ComS VH.
• Directed Independent Study and Research (ComS 290, 290H, 490, 490H, 590, 599, 699).

In Fall 1996, Dr. Honavar offered the Graduate Orientation Seminar (ComS 591).

In Fall 1997, Dr. Honavar co-taught (with over a half-dozen other faculty), a graduate seminar in Computational Molecular Biology.

Honavar has contributed to curriculum development in bioinformatics and computational biology.

He is especially interested in developing curricula that introduce the principles of computing across multiple disciplines. Some ideas along these lines can be found here.