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Diplomový seminář II

Předmět na Fakulta sociálních věd |
JSM546

Tento text není v aktuálním jazyce dostupný. Zobrazuje se verze "en".Sylabus

The course will take place at least five times per semester and will be complemented by individual meetings of students with their supervisors. 

The first meeting will take place in the first week of the semester.

The course will be concluded after the deadline for submission of MA theses.    

Each student will submit and present three parts of their theses. 

Seminar 1 (February 19) Course introduction (Dino Numerato, Tiago Lapa)

Seminar 2 (February 27) Research Design: linking methods and literature review I (Tiago Lapa)

Seminar 3 (March 4) Research Design: linking methods and literature review II (Dino Numerato)

Seminar 4 (March 11) Research Design: linking methods and literature review III (Tiago Lapa)

Seminar 5 (March 18) Research Design: linking methods and literature review IV (Dino Numerato) 

Seminar 6 (March 25) Data Collection, Interpretation and Analysis I (Tiago Lapa)

April 1 - Easter Break

Seminar 7 (April 8) Data Collection, Interpretation and Analysis II (Dino Numerato)

Seminar 8 (April 15) Data Collection, Interpretation and Analysis III (Tiago Lapa)

Seminar 9 (April 22) Data Collection, Interpretation and Analysis IV (Dino Numerato)

Seminar 10 (April 29) Discussion, Conclusions and Introduction I (Tiago Lapa)

Seminar 11 (May 6) Discussion, Conclusions and Introduction II (Dino Numerato)

Seminar 12 (May 13) Discussion, Conclusions and Introduction III (Tiago Lapa)

Seminar 13 (May 20) Discussion, Conclusions and Introduction IV (Dino Numerato)

Students will receive feedback from the seminar leaders as well as from their peers. 

Tento text není v aktuálním jazyce dostupný. Zobrazuje se verze "en".Anotace

The Diploma Seminar II course prepares students for concluding their own diploma thesis. After developing the literature review and methods sections during the Diploma Seminar I, students develop their academic writing techniques, discuss the analysis and interpretation of data and develop the final version of their MA thesis.