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
THESIS WRITING
Course code
BMEGT52S169
Course type
- Unit based on independent work supported by presentation sessions and consultations
Kurzustípusok és óraszámok
Type
Lessons
Lecture
8
Practice
0
Laboratory
0
Type of assessment
mid-term
Number of credits
10
Course leader
Name
Gerákné dr. Krasz Katalin
Position
assistant professor
Email adress
krasz.kata@gtk.bme.hu
Organizational unit for the subject

Department of Ergonomics and Psychology

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

Programme: Munka és szervezet szakpszichológus 2010

Subject Role: Kötelező törzsanyag

Recommended semester: 4

Pre-requisites
strong
None
weak
None
paralell
None
exclusive
None
A tantárgyleírás érvényessége
Approved by the Faculty Education Committee of Faculty of Economic and Social Sciences (Valid from: 06.09.2021.)

Objectives

The aim of the course is for the student to be able to present his/her independent practical project work as an expert, as a result of which he/she will demonstrate the theoretical and methodological knowledge acquired during the training, as well as his/her self-reflective ability.

Learning outcomes

Knowledge
  1. Knows the steps for planning and carrying out practical work on work and organisational psychology.
  2. Knows the criteria for the form and content of the expert presentation of practical project work
Ability
  1. Ability to formulate independent questions, plan and carry out independent project work.
  2. Ability to produce a demanding and credible written peer-reviewed document.
Attitude
  1. Open to expanding methodological knowledge in the field of psychology.
  2. Open and motivated to apply the knowledge acquired.
  3. Collaborates with the instructor and fellow students to expand knowledge.
  4. Is open to the use of information technology tools
Autonomy and responsibility
  1. Expects and uses forms of new knowledge.
  2. Actively participates in the learning process.
  3. Is able to apply theoretical and methodological knowledge in a creative and autonomous way, taking into account the context.

Methodology of teaching

Consultations and presentations, use of IT tools and techniques, independent work.

Materials supporting learning

  • Szokolszky Á. (2004) Kutatómunka a pszichológiában. 1-2-3. fejezetek (19-190.old)
  • Babbie, E. (2003) A társadalomtudományi kutatás gyakorlata. 19. fejezet (Használati utasítás a társadalomkutatáshoz)
  • V. Booth, Communicating in Science: Writing a Scientific Paper and Speaking at Scientific Meetings, 2nd Edition, Cambridge University Press, Cambridge, 1993.
  • M. Davis, Scientific Papers and Presentations, Academic Press, San Diego, 1996.

General Rules

The learning outcomes set out in point 2.2 are assessed on the basis of two mid-year performance assessments.

Performance evaluation methods

A. A detailed description of the performance assessments carried out during the academic term: 1. Participatory performance assessment: 1. oral presentation 2. Performance assessment: oral presentation 2 3. 3 compulsory individual consultations during the semester

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

  • Partial performance evaluation (presentati-on: 25%
  • Partial performance assessment (presentation): 25%
  • Individual consultation: 50%
  • sum: 100%

Proportion of examination elements in the rating

  • :

Grading

%
Excellent > 95-100
Very good 86–95
Good 75–85
Satisfactory 65–74
Pass 50–64
Fail < 50

Correction and retake

Study work required to complete the course

Work type Amount of work hours
4
40
16
40
80
120
300

Approval and validity of subject requirements

Pre-2017, next review September 2021.

Topics discussed during the semester

A 2.2. pontban megfogalmazott tanulási eredmények eléréséhez a tantárgy a következő tematikai blokkokból áll. Az egyes félévekben meghirdetett kurzusok sillabuszaiban e témaelemeket ütemezzük a naptári és egyéb adottságok szerint.

Topics of lectures
1. Szakdolgozati tématerv elkészítése.
2. Kötelező, egyéni konzultációkon való részvétel.
3. Kötelező, csoportos prezentációkon való részvétel.
4. A szakdolgozat elméleti részének elkészítése.
5. A szakdolgozat egészének elkészítése.

Lecturers participating in teaching

Name Rank Contact
Dr. Juhász Márta docens juhasz.marta@gtk.bme.hu
Dr. Kun Ágota adjunktus kun.agota@gtk.bme.hu
Dr. Perger Mónika adjunktus perger.monika@gtk.bme.hu
Gadanecz Péter tanársegéd gadanecz.peter@gtk.bme.hu
Takács Veronika tanársegéd takacs.veronika@gtk.bme.hu
Dr. Séllei Beatrix adjunktus sellei.beatrix@gtk.bme.hu
Dr. Hámornik Balázs adjunktus hamornik.balazs@gtk.bme.hu
Dr. Répáczki Rita adjunktus repaczki.rita@gtk.bme.hu

Approval and validity of subject requirements