Department of Sociology


Course Code: 2320672
METU Credit (Theoretical-Laboratory hours/week): 3(3-0)
ECTS Credit: 8.0
Language of Instruction: English
Level of Study: Masters
Course Coordinator: Prof.Dr. E MARGARETA ÖZDALGA
Offered Semester: Fall or Spring Semesters.

Course Objective

No data is found for the course objective.

Course Content

This course, which runs over two semesters aims at an in-depth study of historical sociology. Characteristic for this tradition within sociology is not only that a historical dimension is added the analysis of sociological (or social) problems, but that society is perceived of an ongoing process, which has to be evaluated in a long-term perspective. This approach, characteristic for classical sociology, was lost under the spell of the specialization on different branches within sociology, which came to dominate the discipline after the Second World War. This tradition has, however, been taken up again, both by historians and sociologists, and it is especially these 20th century carries of the classical sociological tradition that will be the focus of this course. The fundamental idea behind historical sociology is that long-term history cannot successfully be carried out without a theory about society. On the other hand, sociology with a long-term processual perspective cannot do without proper historical scholarship. Therefore these two disciplines can only develop by learning from each other. The 20th century sociologists who has been more articulated on this issue than most others is Norbert Elias, and for that reason the first part of this double course, will concentrate on his extensive work, starting from his The Civilizing Process. In the second part of the course several other representatives of long-term processual perspectives will be analyzed, like Ferdinand Braudel, Marshall Hodgeson, Eric Hobsbawn, Charles Tilly, Michel Foucalt, Pierre Bourdieu. Special emphasis will be given according to the interests and preparations of the student.

Learning Outcomes

No data is found for the learning outcomes.