Artificial intelligence tools 1000-2D22SI
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Type of course
Course coordinators
Term 2024: | Term 2023: |
Learning outcomes
The students prepare and deliver seminar talks (K_U11) prepared on the basis of the newest publications concerning Natural Language Processing (K_U14, K_K08), among other also from conferences and journal of ACM and IEEE (K_K07). Many talks present interdisciplinary research, with prominent roles played by scholars from fields other than computer science (K_K02).
The student who presents a talk is expected not only to report on the paper, but also to express his/her own opinion on it (K_K06), those who listen are expected to participate in the discussion following the presentation (K_K02).
We also have a second kind of presentations, those related to the preparation of the Master's Thesis (K_U13). The first such talk is typically given soon after determining the Thesis' topic, and the student is expected to present a plan how he/she intends to gain the knowledge necessary to prepare the Thesis (K_K01, K_U15,K_K03).
Assessment criteria
1. Formal requirements: registering of a MS Thesis theme (1st year) or
sumbitting the thesis (2nd year)
2. Delivering the presentations, at least one in each semester
3. At least 50% of attendance
Bibliography
Modern scientific literature of the subject, including scientific journals and conference proceedings. More specific information is presented at the first meeting.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: