Form of assessment: colloquium (oral exam) Course description: The general objective of this serminar is to discuss in detail the topics covered by the lecture with a similar title. We will consider some of the critical, social, and cultural aspects of literary history and how these aspects gave rise to genres such as the sonnet, the epistolary novel or Restoration comedy. The seminar will also explore the establishments where the notion of certain literary forms and their cultural and national representations have appeared, and examine the different forms of cultural discourse such as gender and society, mass literature and the individual reader, literary movements, reading and theatre-going practices. Minimum number of students: 5 Class hours per week: 2 Semester: Spring Credits (ECTS): 5 Lecturers: prof. Mária Kurdi , Dr. Gabriella Hartvig , dr. Csaba Maczelka Course Forms of English Prose MA Language of instruction: En Form of teaching: seminar Form of assessment: written assignments Course description: of English Prose in the Early Modern Period will examine the different representations and the cultural and national status of the novel and other prose narratives as new forms. We will consider discourses on the practices of reading in the Enlightenment period through the discussion of genres of prose fiction including the spiritual biography, imaginary voyages, memoirs, the confessional novel, and erotic and female narratives. Minimum number of students: 5 Class hours per week: 2 Semester: Spring Credits (ECTS): 5 Lecturers: Dr. Gabriella Hartvig Course title: British Popular Culture BA Language of instruction: English Form of teaching: seminar Form of assessment: written assignments Course description: The course traces popular culture from medieval times to the present day. It investigates theories of popular mass and high culture. Minimum number of students: 5 Class hours per week: 2
Code PYNB Credits Title of Course Lecturer 080401 2 3 Behavioural Analysis I. Csókási Krisztina 060101 2 4 Social Psychology of Communication Dr. Vincze Orsolya 080301 2 4 Psychometry Dr. Róbert 060201 2 3 Analytical Social Psychology Dr. Lénárd Kata 080601 2 4 Interviews Dr. Pohárnok Melinda 040201 2 4 Cognitive Developmental Psychology Dr. Kiss Szabolcs 040301 2 4 Analytical Developmental Psychology Dr. Láng András 050301 3 4 Personality Theories of Depth Psychology II. Deim Éva, Dr. Káplár Mátyás 020501 2 4 Research Paper - Evolutionary Psychology Dr. Deák Anita 020502 2 4 Research Paper - Evolutionary Psychology Dr. Kocsor Ferenc 020503 2 4 Research Paper - Evolutionary Psychology Dr. Lábadi Beatrix 020504 2 4 Research Paper - Evolutionary Psychology Putz Ádám 020505 2 4 Research Paper - Evolutionary Psychology Zsidó András 6th Semester Code PYNB Hours Credits of Course Lecturer 070501 2 4 Manager Psychology Dr. Szabó Zsolt 080501 2 4 Behavioural Analysis II. Dr. Czibor Andrea 070701 2 4 Introduction to Psychology of Arts Dr. Bálint Ágnes 070901 2 4 Counselling in Psychology Dr. Káplár Mátyás
070601 2 4 Introduction to Psychology at Schools Dr. Káplár Mátyás 070301 2 4 Introduction to Clinical and Health Psychology Csókási Krisztina 050401 2 4 Research Paper - Personality Psychology Dr. Járai Róbert 050402 2 4 Research Paper - Personality Psychology Dr. Káplár Mátyás 050403 2 4 Research Paper - Personality Psychology Csókási Krsiztina 050404 2 4 Research Paper - Personality Psychology Deim Éva 050405 2 4 Research Paper - Personality Psychology Teleki Szidalisz 060401 2 4 Research - Social Psychology Dr. Bigazzi Sára 060402 2 4 Research Paper - Social Psychology Dr. Czibor Andrea 060403 2 4 Research Paper - Social Psychology Serdült Sára 060404 2 4 Research Paper - Social Psychology Restás Péter 060405 2 4 Research Paper - Social Psychology Dr. Vincze Orsolya 090101 0 4 Closing Thesis Prof. Kiss Enikő If you cannot find the detailed description below, email us at btk-erasmus@pte.hu. Course title:Library Informatics and Basic Statistics II. Language of instruction: English Form of teaching: seminar Form of assessment:colloquium Course description:Statistical methods for hypothesis testing. Basic concepts: variables, distribution, average, mean, median.