(Syllabus)
 
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[[Category:Predmety 2-AIN]] {{DISPLAYTITLE:Master thesis seminar<small>2-IKV-921/15</small>}}
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{{CourseHeader
= Master thesis seminar – <span style="display:inline-block;"></span> <small style="white-space:nowrap;">2-IKV-921/15</small>=
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    | code = 2-IKV-921a
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    | title = Master's thesis seminar
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}}
 
__TOC__
 
__TOC__
  
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<b>Learning outcomes:</b> 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.
 
<b>Learning outcomes:</b> 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.
 
   
 
   
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<!--
 
== News ==
 
== News ==
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;10.2.2020
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:We start on Wednesday 19.2.2020 with an organizational meeting.
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<!--
 
;23. 3. 2017
 
;23. 3. 2017
 
: In your longer presentation (20-25 min + 10 min discussion), focus on the following: (1) motivation (state-of-the-art in the area of your focus, brief survey of related approaches); (2) research question (is it well formulated?); (3) assumptions behind your approach; (4) experimental design / computational model specification.
 
: In your longer presentation (20-25 min + 10 min discussion), focus on the following: (1) motivation (state-of-the-art in the area of your focus, brief survey of related approaches); (2) research question (is it well formulated?); (3) assumptions behind your approach; (4) experimental design / computational model specification.
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;30.4.2017
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: Deadline for submitting the master thesis concept postponed to May 7th (sharp).-->
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== Schedule ==
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{| class="alternative table-responsive"
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!Type
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!Day
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!Time
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!Room
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!Teacher
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|-
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|Seminar
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|Wednesday
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|14:50 - 17:10
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|I-9
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|[[Igor Farkas|Igor Farkaš]], [[Barbora Cimrova|Barbora Cimrová]]
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|}
  
 
== Syllabus ==
 
== Syllabus ==
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!Content
 
!Content
 
|-
 
|-
|22.2.
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|15.2.
 
|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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|-
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|23.2.
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|Joint meeting with 1st year students: presentations of your mobility projects.
 
|-
 
|-
 
|01.3.
 
|01.3.
|No class - attending the lecture of prof. Stransky on neurophilosophy.
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|Introduction of Master's Thesis Concept.  
 
|-
 
|-
 
|08.3.
 
|08.3.
|Presentations of your mobility projects to 1st year students (joint meeting).
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|Discussion of interdisciplinarity: Thagard (2005), Nunez et al. (2019), short presentations: Kutlay, Tiam, Klára, Ján, Juliana
 
|-
 
|-
 
|15.3.
 
|15.3.
|How to prepare your master thesis. Master Thesis Concept requirement.
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|Discussion of interdisciplinarity: Nunez et al. (2019), Kallens et al (2022), short presentations: Armin, František
 
|-
 
|-
 
|22.3.
 
|22.3.
|No class
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|no class
 
|-
 
|-
 
|29.3.
 
|29.3.
|Presentations: Sedláček, Rerichová, XXX
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|Short presentations: Ekin, Alena, Hillary, Jennifer, Long presentations and feedback: Ján, Juliana
 
|-
 
|-
 
|05.4
 
|05.4
|Presentations: XXX
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|Long presentations and feedback: Klára, Tiam, Kutlay
 
|-
 
|-
 
|12.4.
 
|12.4.
|Presentations: Šlahorová, Osrman, XXX
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|Long presentations and feedback: František, Hillary, Ekin
 
|-
 
|-
 
|19.4.
 
|19.4.
|Presentations: Hrašková, XXX
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|no class - students' scientific conference (ŠVK)
 
|-
 
|-
 
|26.4.
 
|26.4.
|TBA
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|Long presentations and feedback: Jennifer, Michaela, Armin
 
|-
 
|-
 
|03.5.
 
|03.5.
|TBA
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|Long presentations and feedback: Alena, Hillary
 
|-
 
|-
 
|10.5.
 
|10.5.
|Information about abstract submission for conference, peer review process, final submissions.
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|no seminar
 
|-
 
|-
|17.5.
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|08.6.
|No class
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|Rehearsal of MEi:CogSci conference talks: attended - Alena, Armin, Frantisek, Hillary, Kutlay
 
|}
 
|}
  
 
== Course requirements and grading ==
 
== Course requirements and grading ==
  
* 40%  - quality of the master thesis concept (following the template provided)
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* 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 (twice)
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* 30% - oral presentations of your thesis in the seminar (shorter and longer)
* 20% - activity, peer feedback, participation in two peer-reviews of extended abstracts (for the conference)
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* 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)
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* 10% - active participation at MEi:CogSci conference (including the talk)
* <b>Overall score:</b> A > 90%, B > 80%, C > 70%, D > 60%, E > 50%, else Fx.
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* <b>Overall score:</b> A > 90%, B > 80%, C > 70%, D > 60%, E > 50%, otherwise Fx.

Latest revision as of 17:26, 8 June 2023

Master's thesis seminar 2-IKV-921a

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

Type Day Time Room Teacher
Seminar Wednesday 14:50 - 17:10 I-9 Igor Farkaš, Barbora Cimrová

Syllabus

Date Content
15.2. Introduction to the course, requirements and grading, plan for the semester.
23.2. Joint meeting with 1st year students: presentations of your mobility projects.
01.3. Introduction of Master's Thesis Concept.
08.3. Discussion of interdisciplinarity: Thagard (2005), Nunez et al. (2019), short presentations: Kutlay, Tiam, Klára, Ján, Juliana
15.3. Discussion of interdisciplinarity: Nunez et al. (2019), Kallens et al (2022), short presentations: Armin, František
22.3. no class
29.3. Short presentations: Ekin, Alena, Hillary, Jennifer, Long presentations and feedback: Ján, Juliana
05.4 Long presentations and feedback: Klára, Tiam, Kutlay
12.4. Long presentations and feedback: František, Hillary, Ekin
19.4. no class - students' scientific conference (ŠVK)
26.4. Long presentations and feedback: Jennifer, Michaela, Armin
03.5. Long presentations and feedback: Alena, Hillary
10.5. no seminar
08.6. Rehearsal of MEi:CogSci conference talks: attended - Alena, Armin, Frantisek, Hillary, Kutlay

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 (including the talk)
  • Overall score: A > 90%, B > 80%, C > 70%, D > 60%, E > 50%, otherwise Fx.