(Course requirements and grading)
(Syllabus)
 
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|Wednesday
 
|Wednesday
 
|14:00 - 16:20
 
|14:00 - 16:20
|I-9
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|online
 
|[[Igor Farkas|Igor Farkaš]], [[Barbora Cimrova|Barbora Cimrová]]
 
|[[Igor Farkas|Igor Farkaš]], [[Barbora Cimrova|Barbora Cimrová]]
 
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!Content
 
!Content
 
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|17.2.
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|16.2.
 
|Introduction to the course, requirements and grading, plan for the semester.
 
|Introduction to the course, requirements and grading, plan for the semester.
 
|-
 
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|23.2.
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|24.2.
|Presentations of your mobility projects to 1st year students (joint meeting).
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|Joint meeting with 1st year students: presentations of your mobility projects.
 
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|03.3.
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|02.3.
 
|Introduction of Master's Thesis Concept.
 
|Introduction of Master's Thesis Concept.
 
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|10.3.
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|09.3.
|TBA
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|Discussion about interdisciplinarity: Thagard (2005), short presentations (Rohil, Beata, Zuzka, Veronika)
 
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|17.3.
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|16.3.
|Student's short presentations (6 min.). 
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|no class
 
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|31.3.
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|23.3.
|TBA
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|Discussion about interdisciplinarity: Nunez et al. (2019), long presentation (Rohil), short presentations (Emil, Elisabet)
 
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|07.4
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|30.3.
|Long presentations:  
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|Long presentation: Beata, TBA
 
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|14.4.
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|06.4
|Long presentations:  
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|Long presentations: xxx
 
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|21.4.
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|13.4.
|Discussion about interdisciplinarity: Thagard (2005), Nunez et al. (2019)
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|Long presentations: xxx
 
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|28.4.
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|20.4.
|Long presentations:
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|TBA
 
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|05.5.
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|27.4.
|Long presentations:
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|No class (students' scientific conference)
 
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|12.5.
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|02.5.
 
|TBA
 
|TBA
 
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|19.5.
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|09.5.
|TBA  
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|TBA
 
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|XX.5.
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|08.6.
|Rehearsal of conference talks: TBA
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|Rehearsal of MEi:CogSci conference talks: group 1
 
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|XX.5.
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|15.6.
|Rehearsal of conference talks: TBA
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|Rehearsal of MEi:CogSci conference talks: group 2
 
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Latest revision as of 22:18, 28 March 2022

Diploma thesis seminar 2-IKV-921

The purpose of this interdisciplinary course is to provide support to students writing their master thesis in the fields of cognitive science. Students are expected to develop the concept for their master’s thesis, present and discuss their plans for their theses, issues and problems. The course provides room both for presentations and discussions. It also includes participation in the MEi:CogSci conference.

Learning outcomes: After the course, you should be able to: (1) to formulate and follow a scientific question relevant to cognitive science, (2) to plan, conduct, document and present scientific work, (3) to write an extended scientific abstract, (4) to defend your research and constructively deal with critical commentary, (5) to constructively participate in a peer-review process, (6) to get involved in collaborative work in physical and virtual environments, (7) to engage in scientific discourse, (8) to communicate your expertise in order to contribute constructive criticism to the work of others.


Schedule

Druh výučby Day Time Room Teacher
Seminar Wednesday 14:00 - 16:20 online Igor Farkaš, Barbora Cimrová

Syllabus

Date Content
16.2. Introduction to the course, requirements and grading, plan for the semester.
24.2. Joint meeting with 1st year students: presentations of your mobility projects.
02.3. Introduction of Master's Thesis Concept.
09.3. Discussion about interdisciplinarity: Thagard (2005), short presentations (Rohil, Beata, Zuzka, Veronika)
16.3. no class
23.3. Discussion about interdisciplinarity: Nunez et al. (2019), long presentation (Rohil), short presentations (Emil, Elisabet)
30.3. Long presentation: Beata, TBA
06.4 Long presentations: xxx
13.4. Long presentations: xxx
20.4. TBA
27.4. No class (students' scientific conference)
02.5. TBA
09.5. TBA
08.6. Rehearsal of MEi:CogSci conference talks: group 1
15.6. Rehearsal of MEi:CogSci conference talks: group 2

Course requirements and grading

  • 40% - quality of the master thesis concept (following the template provided) - to be submitted until April, 30th.
  • 30% - oral presentations of your thesis in the seminar (shorter and longer)
  • 20% - activity during the semester, peer feedback, participation in peer reviews of extended abstracts (for the conference)
  • 10% - active participation at MEi:CogSci conference (talk)
  • Overall score: A > 90%, B > 80%, C > 70%, D > 60%, E > 50%, otherwise Fx.