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Optional courses: research methods*

General data

Course ID: 3201-LST-OC-RM3
Erasmus code / ISCED: (unknown) / (unknown)
Course title: Optional courses: research methods*
Name in Polish: Optional courses: research methods_Ergonomics and accessibility in language services, research and practice
Organizational unit: Institute of Applied Linguistics
Course groups:
ECTS credit allocation (and other scores): 3.00 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: English
Type of course:

elective courses

Mode:

Classroom

Full description:

Courses offered as a part of the research methods module accentuate qualitative approaches to context-rooted communication. Situated language use is explained with the help of such models as, for instance, conversational analysis, linguistic pragmatics, rhetoric, dialogue analysis, narrative analysis, sociolinguistics, critical discourse analysis or social semiotics. The selected perspectives are extended in discipline-profiled specialist courses, such as, for instance, Analysis of spoken/written communication, Audio-visual communication, Sociolinguistic fieldwork, Voices in discourse, Narrative as discourse, Rhetorical analysis, Language and power. Apart from the above, there will be courses aimed at deepening students’ knowledge necessary to conduct research studies of their interest. Each course will provide an in-depth study of a selected research method. The topics will range from Data Science and Natural Language Processing, to Fieldwork in Sociolinguistics, Social Network Analysis, Second Language Acquisition and Language Typology. Students interested in experimental/quantitative research will have an opportunity to choose among the courses addressing topics in experimental methods (Eye Tracking Research, EEG Research, Acoustic Analysis, E-prime and PsychoPy in Linguistic Experimentation).

Learning outcomes:

Knowledge: the graduate knows and understands:

-in-depth, specialized terminology in the fields of theoretical linguistics, corpus linguistics, neuroscience

-in-depth, fundamental problems of language use as an interlingual and intercultural phenomenon

-in-depth, the main directions of development and contemporary research trends in linguistics (theoretical, computational, cognitive, corpus, social/text linguistics) and knows where the most important linguistic research centers in Europe and the world are located

-in-depth, research methods used in: psycholinguistics, neurolinguistics, corpus linguistics, digital linguistics and text linguistics, as well as statistical models-in-depth, the relationship of linguistics (theoretical, computational, cognitive, corpus linguistics) with other fields of (neuro)science

-the work environment as well as economic and legal conditions of work in the profession of a linguist, researcher, software tester, copy editor and copywriter

Skills: the graduate is able to:

-use in-depth theoretical and practical knowledge to carry out research work and solve complex problems in linguistics (theoretical, computational, cognitive, corpus, social/text linguistics) using appropriate methodology

-to an in-depth degree, search, analyze, evaluate and select information in the native language and foreign languages

-use advanced research tools of linguistics (theoretical, computational, cognitive, corpus-based) and select research methods appropriately to the problems undertaken

-use in-depth knowledge of linguistics (theoretical, computational, cognitive, corpus-based, social/text linguistics) through the selection and appropriate application of modern information and communication technology (including statistical, corpus, eye-tracking and EEG analysis software) when working with research data

-use in-depth knowledge of research methodologies (acoustic analysis, eye-tracking, EEG, corpus analysis, data analysis: R, Python) used in modern linguistics to plan and carry out a methodologically correct scientific study, as well as to analyze its results and identify implications

-use a foreign language to an advanced degree (C2 level) in specialized terminology in the field of linguistics (theoretical, computational, cognitive, corpus, social/text linguistics)

-express one's own views and opinions orally and in writing in foreign languages and the native language, and present the views and arguments of third parties in foreign languages and the native language

-independently acquire knowledge in the field of linguistics (theoretical, computational, cognitive, corpus, social/text linguistics) and evaluate the usefulness of the learned methods, practices and procedures in their own professional activity

Social competences: the graduate is ready to:

-recognize the importance of the latest linguistic knowledge and critically evaluate research in linguistics (theoretical, computational, cognitive, corpus, social/text linguistics), especially those published in scientific journals and monographs and popular science sources

-recognize the importance of linguistic knowledge in solving cognitive and practical problems and to consult with experts

-adequately identify and resolve problems of interlingual, intercultural and social communication

-initiate and carry out linguistic research, in particular to improve accessibility in the dimensions of language, information and communication

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-19 - 2024-06-16
Selected timetable range:
Navigate to timetable
Type of class:
Seminar, 30 hours, 10 places more information
Coordinators: (unknown)
Group instructors: Katarzyna Czarnocka
Students list: (inaccessible to you)
Examination: Course - Examination
Seminar - Examination
Course descriptions are protected by copyright.
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00-927 Warszawa
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