Mathematical and statistical methods in linguistic research

General data

Course ID:	1500-SZD-MMISWBL
Erasmus code / ISCED:	(unknown) / (unknown)
Course title:	Mathematical and statistical methods in linguistic research
Name in Polish:	Metody matematyczne i statystyczne w badaniach lingwistycznych
Organizational unit:	Faculty of Applied Linguistics
Course groups:
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language:	Polish
Type of course:	elective courses
Short description:	The class is intended for doctoral students wishing to deepen their knowledge of formal methods in linguistics. The aim of the class is to complement and systematize the knowledge of mathematical and statistical methods.
Full description:	The class is intended for doctoral students wishing to deepen their knowledge of formal methods in linguistics. The aim of the class is to complement and systematize the knowledge of mathematical and statistical methods. The classes will comprise three blocks, devoted to three areas of application of mathematical and statistical methods. The first block covers mathematical and statistical modelling of linguistic objects: from the alphabet, text and grammar to the speaker and the listener. The second block covers mathematical and statistical methods for conducting linguistic research. Here we will focus, among other things, on the most important statistical parameters. The third block covers mathematical and statistical ways of interpreting linguistic research. We will focus here on, among other things, attendance dictionaries and the most important statistical laws.
Bibliography:	Blikle A., 1971, Automaty i gramatyki : wstęp do lingwistyki matematycznej, Warszawa : Państwowe Wydaw. Naukowe. Guiraid P., 1966, Zagadnienia i metody statytyki językoznawczej, Warszawa : Państwowe Wydaw. Naukowe. Hammerl R., Sambor J., 1990, Statystyka dla językoznawców, Warszawa : Wydaw. UW. Hammerl R., 1993, O statystycznych prawach językowych, Warszawa : Zakład Semiotyki Logicznej Uniwersytetu UW : Polskie Towarzystwo Semiotyczne. Homenda W., 2005, Elementy lingwistyki matematycznej i teorii automatów, Warszawa : Oficyna Wydawnicza Politechniki Warszawskiej. Hopcroft J.E., Motwani R., Ullman J.D., 2005, Wprowadzenie do teorii automatów, języków i obliczeń, Warszawa : Wydaw. Naukowe PWN. Koseska-Toszewa V., Mazurkiewicz A., 2009, Net-Based Description of Modality in Natural Language (on the Example of Conditional Modality), (w:) „Cognitive Studies” 9 (2009), s. 65-78. Kułacka A., 2011, Statystyczne prawa językowe : na przykładzie prawa Menzeratha-Altmanna w składni języków polskiego i angielskiego, Wrocław : Oficyna Wydawnicza Atut - Wrocławskie Wydawnictwo Oświatowe. Mazurkiewicz A., 2009, Formal description of temporality : (Petri net aproach), (w:) „Cognitive Studies” 9 (2009), s. 53-64.
Learning outcomes:	Knowledge: knows and understands P8S_WG.1 the hitherto achievements, including theoretical foundations and application of mathematical and statistical methods P8S_WG.2 main development trends of mathematical and statistical methods and their application in linguistics P8S_WG.3 methodology of scientific research Skills: is able to P8S_UW.1 use mathematical and statistical methods in research work, in particular: - define the aim and subject of scientific research, formulate a research hypothesis, - develop methods, techniques and research tools and apply them creatively - make conclusions on the basis of research results P8S_UK.1 communicate on specialised topics to the extent allowing for active participation in the international scientific community P8S_UK.4 participate in scientific discourse Social competence: is willing to P8S_KK.3 recognise the importance of knowledge in solving cognitive and practical problems
Assessment methods and assessment criteria:	Attendance in class (three absences allowed) Participation in discussions on selected texts discussed Completing a short project using mathematical methods on a topic chosen by the participant and agreed with the tutor

This course is not currently offered.

Course descriptions are protected by copyright.
Copyright by University of Warsaw.