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• The course is a [i]regular [re]search seminar, mentored in a "family" manner. In this term, the seminar [sub]topic is Thinking Slow.  The enrolled student must give a presentation on an agreed-upon topic (of interest, or her thesis, or he will talk about a research paper or area) once during the term. Topics of presentations focus primarily (but not necessarily) on those related to machine learning, representation learning, and scientific visualization or about our subtopic (tackling complexity by LLM agents, proving P=NP, etc. ;-).
• There is a discussion group with official course information and a communication channel in addition to the course outline below: watch both frequently!
  

Topics and Course Outline

Readings:  Motivating video: DEK's advice to young students.

Week 1– 20. 2. Introduction, research strategy, evaluation, and course schedule planning

Join us at A502, Faculty of Informatics MU, on February 20th at 10 AM (CET) [or on Zoom, on-demand only].

09:50 Catering preparation

10:00 Class introduction, warm-up round-up check-in discussion (expectation, topics/expertise/background, suggested presentations, and readings). We will "Start with why" (Simon Sinek). Why do you go to college? Bring your research presentation offers (one slide) and ideas to present, read, study, and discuss! Take inspiration from last term's presentations.

10:45 The golden circle of research communication and scientific work. 

• Why? Put readers in your place! Specifics of CS research and doctoral studies and their evaluation at FI MU: CS conference rankings 
• How? to write  
• What (and where)?  It is important to "sell the ideas and work," pick the right topics and questions, research "big issues," and pick the proper publication forums (in CS and NLP). An h-index as a measure of impact. The danger of Tyranny of metric.

11:20 Class round-up discussion (suggested presentations, readings, and presentation course schedule).

11:30 Varia, socializing (team builder wanted!), lunch.

Week 2 – 27. 2. Petr Sojka, Tereza Vrabcová, et al., Thinking Slow in our/your projects

Join us at A502, Faculty of Informatics MU, on Oct 3rd at 9:50 AM (catering preparation) and 10 AM (Invitation of newcomers, questions on readings, a summary of Week 1, and then brainstorming on Thinking Slow). To join via Zoom, ask for a password in advance.

Week 3 – 6. 3. Michal Spiegel et al.: TBA within "Thinking slow"

Join us at A502, Faculty of Informatics MU, on Oct 3rd at 9:50 AM (catering preparation) and 10 AM (Invitation of newcomers, questions on readings, and speaker introduction). To join via Zoom, ask for a password in advance.

Week 4 – 13. 3. Barbora Danková: TBA

Join us at A502, Faculty of Informatics MU, on March 13th at 9:50 AM (catering preparation) and 10 AM (lectures). To join via Zoom, ask for a password _in advance_.

Week 5 – 20. 3. Ota Mikušek: TBA

Join us at A502, Faculty of Informatics MU, on March 20th at 9:50 AM (catering preparation) and 10 AM (lectures). To join via Zoom, ask for a password _in advance_.

Week 6 – 27. 3. Katarína Hudcovicová: TBA

Join us at A502, Faculty of Informatics MU, on March 27th at 9:50 AM (catering preparation) and 10 AM (lectures). To join via Zoom, ask for a password _in advance_.

Week 7 – 03. 4. Jan Franěk: TBA

Join us at A502, Faculty of Informatics MU, on April 3rd at 9:50 AM (catering preparation) and 10 AM (lectures). To join via Zoom, ask for a password _in advance_.

Week 8 – 10. 4. Martin Kňažovič: TBA

Join us at A502, Faculty of Informatics MU, on April 7th at 9:50 AM (catering preparation) and 10 AM (lectures). To join via Zoom, ask for a password _in advance_.

Week 9 – 17. 4. Zuzana Moravčíková: TBA

Join us at A502, Faculty of Informatics MU, on April 17th at 10 AM (CET) [and on Zoom].

Week 10 – 24. 4. Jakub Hartmann: TBA

Join us at A502, Faculty of Informatics MU, on April 24th at 10 AM (CET) [and on Zoom].

Week 11 – 1. 5. Canceled (state holiday)

Week 12 – 8. 5. Canceled (state holiday)

Week 13 – 15. 5. Martin Beňa

Join us at A502, Faculty of Informatics MU, on May 15th at 10 AM (CET) or [or on Zoom].

Week 14 – 19. 5. TBA

Tips for readings, discussions, and presentation preparations:

1. Top2Vec towardsdatascience.com/top2vec-new-way-of-topic-modelling 
2. How to Speak by Patrick Winston (YouTube video)
   

Žákovi, který se hrozil chyb, Mistr řekl: "Ti, kdo nedělají chyby, chybují nejvíc ze všech – nepokoušejí se o nic nového." Anthony de Mello: O cestě

To a student in danger, the Master said: "Those who do not make mistakes most of all – they do not try anything new." Anthony de Mello