Title of course: Space and society
Code: TTGME6507_EN
ECTS Credit points: 3
Type of teaching, contact hours
- lecture: 1 hours/week
- practice: 2 hours/week
- laboratory: -
Evaluation: by two written tests covering the practical lessons (60%), by one written test covering the theoretical lessons (30%) and by the short essay and homework
Workload (estimated), divided into contact hours:
- lecture: 14 hours
- practice: 28 hours
- laboratory: -
- home assignment: 18
- preparation for the exam: 30 hours
Total: 90 hours
Year, semester: 1st year, 2nd semester
Its prerequisite(s):
Further courses built on it: -
Topics of course
The aim of the course is to familiarise students with some of the research trends and methods of spatiality in society, mainly based on quantitative methods, with special attention to the theoretical background of spatial inequalities and the possibilities of analysing the problem. Multivariate statistical and spatial computational methods used in social research will be strongly emphasised in the practical sessions.
Literature
- Coulter, Philip B. 1989: Measuring inequality. A methodological handbook. – Westview Press, London. 204 p. (ISBN 9780813377261)
- Haggett, Peter 2001: Geography: A Global Synthesis. – Prentice Hall. 864 p. (ISBN 978- 0582320307)
- Fotheringham, Stewart – Brunsdon, Chris – Charlton, Martin 2000: Quantitative Geography: Perspectives on Spatial Data Analysis. – SAGE Publications Ltd., 288 p. (ISBN 978- 0761959472)
Requirements:
Participation at classes is compulsory. A student must attend the courses and may not miss more than three times during the semester. In case a student does so, the subject will not be signed and the student must repeat the course. Home tasks are required in order to practice which is included in the evaluation of the final grade. During the semester there are two tests for the practice (the mid-term test in the 7th week and the end-term test in the 14th week) and one end-term test in the 14th week for the theory. The subject matters are basing on the lectures and the additional supplements provided.
| Score | Grade |
| 0-49 fail | (1) |
| 50-64 pass | (2) |
| 65-74 satisfactory | (3) |
| 75-85 good | (4) |
| 86-100 excellent | (5) |
The minimum requirement for the mid-term and end-term tests respectively is 50%. The final grade is the weighted average of them (each test 30%; evaluation of home tasks 10%).
Person responsible for course: Dr. János Pénzes, PhD, Associate Professor