Versions

I. COURSE DESCRIPTION
II. SUBJECT REQUIREMENTS
III. COURSE CURRICULUM
SUBJECT DATA
OBJECTIVES AND LEARNING OUTCOMES
TESTING AND ASSESSMENT OF LEARNING PERFORMANCE
THEMATIC UNITS AND FURTHER DETAILS
Course name
RESEARCH METHODOLOGY
Course code
BMEGT43A204
Course type
class
Kurzustípusok és óraszámok
Type
Lessons
Lecture
4
Practice
0
Laboratory
0
Type of assessment
term mark
Number of credits
5
Course leader
Name
Dr. Janky Béla
Position
associate professor
Email adress
janky.bela@gtk.bme.hu
Organizational unit for the subject

Department of Sociology and Communication

Subject website
Language of teaching
magyar - HU
Curriculum role of the subject, recommended semester

Programme: Kommunikáció és médiatudomány alapszak - kötelező tárgyak 2018-tól

Subject Role: Kötelező

Recommended semester: 2

Pre-requisites
strong
None
weak
None
paralell
None
exclusive
None
A tantárgyleírás érvényessége
Approved by the Faculty Board of Faculty of Economic and Social Sciences, Decree No: 580251/13/2023 registration number. Valid from: 29.03.2023.

Objectives

The purpose of the course is to provide basic knowledge about the most basic methods of interpreting and analyzing data related to social phenomena. During the course, students choose an analysis task, which they prepare by the end of the semester with the help of lectures, intensive labs and consultations. To complete the course, regular preparation at home and class attendance are essential.

Learning outcomes

Knowledge
  1. Know the basic statistical tools needed for data analysis.
Ability
  1. Ability to carry out data analyses using the basic methods learned and expert advice.
Attitude
  1. It recognises the importance of good statistical knowledge and the limitations of statistical inference.
Autonomy and responsibility
  1. Faced with data analysis tasks, recognizing the limitations of one's own knowledge, deciding on an independent analysis or involving an expert.

Methodology of teaching

Lectures, assignements

Materials supporting learning

  • Tankönyvek, jegyzetek, letölthető anyagok – Books, notes, downloadable materials
  • Kerékgyártó Györgyné, L. Balogh Irén, Sugár András & Szarvas Beatrix (2009). Statisztikai módszerek és alkalmazásuk gazdasági és társadalmi elemzésekben. Aula

General Rules

Otthoni elemző feladat és órai prezentáció

Performance evaluation methods

Egy kistérség valamely (gazdasági, infrastrukturális, társadalmi vagy környezeti) szektora helyzetének értékelése, prezentáció készítése

Proportion of performance evaluations performed during the diligence period in the rating

  • case study: 100

Proportion of examination elements in the rating

  • :

The condition for obtaining the signature, validity of the signature

Előadások rendszeres látogatása

Grading

%
Excellent 90
Very good 80–89
Good 65–79
Satisfactory 50–64
Pass 40-49
Fail < 40

Correction and retake

Retake and make-up test options are defined by the valid regulations of the University’s Code on Education and Examination.

Study work required to complete the course

Work type Amount of work hours
classes 56
prep. for classes 15
prep. for assessment 30
homework 30
reading 19
total 150

Approval and validity of subject requirements

Topics discussed during the semester

Kutatási kérdések --- Terepmunka tervezés --- Kérdőív-készítés --- Pilot vizsgálatok --- Adatelemzés --- Prezentáció --- Értékelés

Topics of lectures
1. -

Lecturers participating in teaching

Name Rank Contact
Dr. Székely László Levente

Approval and validity of subject requirements