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I. SUBJECT DESCRIPTION
II. SUBJECT REQUIREMENTS
III. COURSE CURRICULUM
SUBJECT DATA
OBJECTIVES AND LEARNING OUTCOMES
TESTING AND ASSESSMENT OF LEARNING PERFORMANCE
THEMATIC UNITS AND FURTHER DETAILS
Subject name
RESEARCH METHODOLOGY
ID (subject code)
BMEGT43A204
Type of subject
class
Course types and lessons
Type
Lessons
Lecture
4
Practice
0
Laboratory
0
Type of assessment
term mark
Number of credits
5
Subject Coordinator
Name
Dr. Janky Béla
Position
associate professor
Contact details
janky.bela@gtk.bme.hu
Educational organisational unit for the subject
Department of Sociology and Communication
Subject website
Language of the subject
magyar - HU
Curricular role of the subject, recommended number of terms

Programme: Communication and media studies Bachelor’s Programme compulsory subjects from 2018

Subject Role: Compulsory

Recommended semester: 2

Direct prerequisites
Strong
None
Weak
None
Parallel
None
Exclusion
None
Validity of the Subject Description
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.

Academic results

Knowledge
  1. Know the basic statistical tools needed for data analysis.
Skills
  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.
Independence 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.

Teaching methodology

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 assessment methods

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

Percentage of performance assessments, conducted during the study period, within the rating

  • case study: 100

Percentage of exam elements within the rating

  • :

Conditions for obtaining a signature, validity of the signature

Előadások rendszeres látogatása

Issuing grades

%
Excellent 90-100
Very good 80–89
Good 65–79
Satisfactory 50–64
Pass 40-49
Fail < 40

Retake and late completion

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

Coursework required for the completion of the subject

Nature of work Number of sessions per term
classes 56
prep. for classes 15
prep. for assessment 30
homework 30
reading 19
total 150

Approval and validity of subject requirements

Topics covered during the term

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

Lecture topics
1. -

Additional lecturers

Name Position Contact details
Dr. Székely László Levente

Approval and validity of subject requirements