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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.
 
   
 
   
== News ==
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<!--== News ==
 +
;11.2.2019
 +
:We start on Wednesday 20.2.2019 with an organizational meeting.
 +
 
 +
<!--
 
;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.
  
 
;30.4.2017
 
;30.4.2017
: Deadline for submitting the master thesis concept postponed to May 7th (sharp).
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: Deadline for submitting the master thesis concept postponed to May 7th (sharp).-->
  
 
== Syllabus ==
 
== Syllabus ==
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!Content
 
!Content
 
|-
 
|-
|22.2.
+
|20.2.
 
|Introduction to the course, requirements and grading, plan for the semester.
 
|Introduction to the course, requirements and grading, plan for the semester.
 
|-
 
|-
|01.3.
+
|26.2.
|No class - attending the lecture of prof. Stransky on neurophilosophy.
+
|on Tuesday: Presentations of your mobility projects to 1st year students (joint meeting).
 
|-
 
|-
|08.3.
+
|06.3.
|Presentations of your mobility projects to 1st year students (joint meeting).
+
|no seminar
 
|-
 
|-
|15.3.
+
|13.3.
|How to prepare your master thesis. Master Thesis Concept requirement.
+
|Student's short presentations (6 min.). Master Thesis Concept requirement.  
 
|-
 
|-
|22.3.
+
|20.3.
|No class
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|Long presentations: Marek, Ondrej, Romana.
 
|-
 
|-
|29.3.
+
|27.3.
|Presentations: Matej S.
+
|No seminar (Rector's holiday)
 
|-
 
|-
|05.4
+
|03.4
|Presentations: Lukáš R., Nikola O., Karin R.
+
|Long presentations: Richard, Oswaldo, Igor
 
|-
 
|-
|12.4.
+
|10.4.
|Presentations: Petra Š., Tono K.
+
|Long presentations: Nicole, Kristína, Timo
 
|-
 
|-
|19.4.
+
|17.4.
|Presentations: Marek O., Lucia H., Viktor S.
+
|Long presentations: Johanna, Jana, Raphael
 
|-
 
|-
|26.4.
+
|24.4.
|no seminar (due to students' scientific conference)
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|Interdiciplinarity.
 
|-
 
|-
|03.5.
+
|01.5.
|Presentations: Matúš Š., Mirka G..
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|No class (holiday)
 
|-
 
|-
|10.5.
+
|08.5.
|MEi:CogSci conference (abstract, review). Team session on interdisciplinarity.
+
|No class (holiday)
 
|-
 
|-
|17.5.
+
|15.5.
|No class
+
|Rehearsal of conference talks + discussion (cogsci jobs)
 
|-
 
|-
|XX.6.
+
|22.5.
|Rehersal of conference talks
+
|Rehearsal of conference talks
 
+
|-
 +
|27.5.
 +
|Rehearsal of conference talks
 
|}
 
|}
  
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* 40%  - quality of the master thesis concept (following the template provided)
 
* 40%  - quality of the master thesis concept (following the template provided)
* 30% - oral presentations of your thesis in the seminar (twice)
+
* 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)
+
* 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)
 
* 10% - active participation at MEi:CogSci conference (talk)
* <b>Overall score:</b> A > 90%, B > 80%, C > 70%, D > 60%, E > 50%, else Fx.
+
* <b>Overall score:</b> A > 90%, B > 80%, C > 70%, D > 60%, E > 50%, otherwise Fx.

Latest revision as of 07:34, 14 May 2019

Master 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.


Syllabus

Date Content
20.2. Introduction to the course, requirements and grading, plan for the semester.
26.2. on Tuesday: Presentations of your mobility projects to 1st year students (joint meeting).
06.3. no seminar
13.3. Student's short presentations (6 min.). Master Thesis Concept requirement.
20.3. Long presentations: Marek, Ondrej, Romana.
27.3. No seminar (Rector's holiday)
03.4 Long presentations: Richard, Oswaldo, Igor
10.4. Long presentations: Nicole, Kristína, Timo
17.4. Long presentations: Johanna, Jana, Raphael
24.4. Interdiciplinarity.
01.5. No class (holiday)
08.5. No class (holiday)
15.5. Rehearsal of conference talks + discussion (cogsci jobs)
22.5. Rehearsal of conference talks
27.5. Rehearsal of conference talks

Course requirements and grading

  • 40% - quality of the master thesis concept (following the template provided)
  • 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.