(34 intermediate revisions by 2 users not shown)
Riadok 1: Riadok 1:
[[Category:Predmety 2-AIN]] {{DISPLAYTITLE:Master thesis seminar<small>2-IKV-921/15</small>}}
+
{{CourseHeader
= Master thesis seminar – <span style="display:inline-block;"></span> <small style="white-space:nowrap;">2-IKV-921/15</small>=
+
    | code = 2-IKV-921
 +
    | title = Diploma thesis seminar
 +
}}
 
__TOC__
 
__TOC__
  
Riadok 7: Riadok 9:
 
<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 ==
 
== News ==
 +
;10.2.2020
 +
:We start on Wednesday 19.2.2020 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).
+
: Deadline for submitting the master thesis concept postponed to May 7th (sharp).-->
 +
 
 +
== Schedule ==
 +
{| class="alternative table-responsive"
 +
!Druh výučby
 +
!Day
 +
!Time
 +
!Room
 +
!Teacher
 +
|-
 +
|Seminar
 +
|Wednesday
 +
|14:00 - 16:20
 +
|I-9
 +
|[[Igor Farkas|Igor Farkaš]], [https://www.sav.sk/?lang=sk&doc=user-org-user&user_no=11408&lang_chan&lang_change=en| Xenia D. Poslon]
 +
|}
 +
 
  
 
== Syllabus ==
 
== Syllabus ==
Riadok 20: Riadok 43:
 
!Content
 
!Content
 
|-
 
|-
|22.2.
+
|19.2.
 
|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.
+
|-
+
|08.3.
+
 
|Presentations of your mobility projects to 1st year students (joint meeting).
 
|Presentations of your mobility projects to 1st year students (joint meeting).
 
|-
 
|-
|15.3.
+
|04.3.
|How to prepare your master thesis. Master Thesis Concept requirement.
+
|no seminar
 
|-
 
|-
|22.3.
+
|11.3.
|No class
+
|no seminar
 
|-
 
|-
|29.3.
+
|18.3.
|Presentations: Matej S.
+
|Master Thesis Concept requirement. Student's short presentations (6 min.). 
 
|-
 
|-
|05.4
+
|25.3.
|Presentations: Lukáš R., Nikola O., Karin R.
+
|Long presentations: Danijela, Klara.
 
|-
 
|-
|12.4.
+
|01.4
|Presentations: Petra Š., Tono K.
+
|Long presentations: Adam
 
|-
 
|-
|19.4.
+
|10.4.
|Presentations: Marek O., Lucia H., Viktor S.
+
|Long presentations: Milagros
 
|-
 
|-
|26.4.
+
|15.4.
|no seminar (due to students' scientific conference)
+
|Discussion about interdisciplinarity: Thagard (2005), Nunez et al. (2019)
 
|-
 
|-
|03.5.
+
|22.4.
|Presentations: Matúš Š., Mirka G..
+
|Long presentations: Matija, Barbora
 
|-
 
|-
|10.5.
+
|29.4.
|MEi:CogSci conference (abstract, review). Team session on interdisciplinarity.
+
|Long presentations: Dina, Lucia
 
|-
 
|-
|17.5.
+
|06.5.
|No class
+
|Long presentations: Viera, Julia
 
|-
 
|-
|XX.6.
+
|11.5.
|Rehersal of conference talks
+
|Long presentation: Hansoo
 
+
|-
 +
|20.5.
 +
|Rehearsal of conference talks: Danijela, Dina, Adam, Milagros
 +
|-
 +
|27.5.
 +
|Rehearsal of conference talks: Matija, Barbora, Klara, Lucia
 +
|-
 +
|03.6.
 +
|Rehearsal of conference talks: Viera, Julia, Hansoo
 
|}
 
|}
  
Riadok 67: Riadok 95:
  
 
* 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.

Verzia zo dňa a času 11:22, 11. máj 2020

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 I-9 Igor Farkaš, Xenia D. Poslon


Syllabus

Date Content
19.2. Introduction to the course, requirements and grading, plan for the semester.
26.2. Presentations of your mobility projects to 1st year students (joint meeting).
04.3. no seminar
11.3. no seminar
18.3. Master Thesis Concept requirement. Student's short presentations (6 min.).
25.3. Long presentations: Danijela, Klara.
01.4 Long presentations: Adam
10.4. Long presentations: Milagros
15.4. Discussion about interdisciplinarity: Thagard (2005), Nunez et al. (2019)
22.4. Long presentations: Matija, Barbora
29.4. Long presentations: Dina, Lucia
06.5. Long presentations: Viera, Julia
11.5. Long presentation: Hansoo
20.5. Rehearsal of conference talks: Danijela, Dina, Adam, Milagros
27.5. Rehearsal of conference talks: Matija, Barbora, Klara, Lucia
03.6. Rehearsal of conference talks: Viera, Julia, Hansoo

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.