Institute of Computer Science
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  3. Natural and Artificial Intelligence Seminar (MTAT.03.292)
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Natural and Artificial Intelligence Seminar 2023/24 spring

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Learning, education, and AI (MTAT.03.292)

  • Topic: Learning, Education, and AI
  • Course code: MTAT.03.292, 3 ECTS
  • Seminars: 8 double contact lessons and one online seminar on Wednesdays
  • Location: Delta room 2035
  • Questions: Kristjan-Julius Laak (kristjan-julius.laak@ut.ee)
  • NAI lab: https://nail.cs.ut.ee/
  • We use Moodle: https://moodle.ut.ee/course/view.php?id=12942
  • Course ÕIS page: https://ois2.ut.ee/#/courses/MTAT.03.292/version/aa91422d-5ed3-c178-dc86-168cba8d3b27/details

Description

We welcome all doctorate, master's, and curious 3rd-year students interested in modern education, learning sciences, and artificial intelligence. We meet in person at the Delta Center in Tartu.

Seminars

Seminars take place only in person, except for one online guest lecture. You are allowed to miss only one seminar.

DateTimeTopicType
14 Feb 202414.15-15.45IntroductionSeminar
21 Feb14.15-17.45Contemporary educationSeminar
6 Mar14.15-17.45Self-regulated learningSeminar
20 Mar14.15-17.45Personalised educationSeminar
03 Apr14.15-17.45Adaptive learning systemsSeminar
17 Apr14.15-15.45Guest: AIEd & EthicsSeminar
24 Apr14.15-17.45ChatGPT and educationSeminar
08 May14.15-17.45ChatGPT and educationWorkshop
22 May14.15-17.45Project presentationsSeminar

Process

We use the flipped classroom method. Our seminars are discussion- and group-work-based, and students complete readings and assignments before the class. Each person must write a final report at the end of the course.

Grading

This is a pass/fail course, and no grades are given. You can miss only one of the in-person seminars to pass the course. The final report must be submitted on time.

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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