Natural and Artificial Intelligence Seminar

ÕIS MTAT.03.292, 3 ECTS

2025 Spring Semester

• Topic: Optimizing Cognitive Performance: Cognitive Data Structures and Algorithms
• Target audience: Master and Doctoral students, especially from the Faculty of Science and Technology and the Faculty of Social Sciences
• Seminars: Contact lessons on Mondays (12:15-13:45)
• Location: Delta center-2040 in Tartu
• Seminar led by: Taavi Kivisik (taavi.kivisik@ut.ee) from NAIL

Content

Main questions include:

• What are the common limits of cognition? Limits of memory, attention, problem solving.
• Where can we witness these limits, in which tasks? How can they be measured?
• Can these limits be overcome? How?

Learning Environment

• Seminars take place only in person (no online participation).
• We use the flipped classroom method. Our seminars are discussion- and group-work-based, and students complete readings and assignments (e.g. different psychometric tests) before each class. Each person keeps a study journal which needs to be submitted at the end of the course.
• Workload is planned to be evenly distributed across the semester (no piling up).

To Pass

1. BEFORE each seminar - read research article(s) and complete assignments
2. DURING each seminar - participate actively (max 2 seminars can be missed)
3. AFTER each seminar - make a study journal entry
4. by end of course - submit a complete study journal documenting your learning journey.