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
Laboratory work I.
ID (subject code)
BMETE47MN31
Type of subject
contact lessons
Course types and lessons
Type
Lessons
Lecture
0
Practice
6
Laboratory
0
Type of assessment
mid term grade
Number of credits
7
Subject Coordinator
Name
Dr. Szőllősi Ágnes
Position
assistant professor
Contact details
szollosi.agnes@ttk.bme.hu
Educational organisational unit for the subject
External department
Language of the subject
magyar, angol - HU, EN
Curricular role of the subject, recommended number of terms

Programme: Psychology Master’s Programme - Cognitive psychology specialisation from 2020/21/Term 1

Subject Role: Compulsory

Recommended semester: 2

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

Objectives

Aim of the course: The aim of the exercise is to provide a skill-level introduction to the currently used human experimental psychological paradigms, methods, and related software. At the beginning of the semester, stu-dents learn programming (in block form) to run experiments. The course is then organized around three major topics: (1) behavioral block: psycholinguistics and memory; (2) electrophysiology; (3) eye movement registration.

Academic results

Knowledge
  1. The student knows the most important paradigms and methods used in experimental psychology.
  2. Is aware of the most important principles and concepts of the research methodology of experimental psychology.
Skills
  1. The student is able to use tools common in experimental psychology.
  2. Is able to communicate in a professionally adequate way, orally and in writing about the most important paradigms and methods of experimental psychology.
Attitude
  1. Open to expanding knowledge related to your field.
  2. Open and motivated to apply the acquired knowledge.
  3. Collaborates with the lecturer and fellow students to expand knowledge.
Independence and responsibility
  1. Expect and utilize new knowledge.
  2. Actively participates in the process of acquiring knowledge.
  3. Solves individual and group tasks responsibly and independently.
  4. Use a systems approach in his/her thinking.

Teaching methodology

Practice.

Materials supporting learning

  • Pléh Csaba és Lukács Ágnes (2014) (szerk.) Pszicholingvisztika. 1-2. Magyar pszicholingvisztikai kézikönyv. Budapest: Akadémiai.
  • Harley, T. (2001): The psychology of language. Psychology Press.
  • Baddeley, A., Eysenck, M. W., & Anderson, M. C. (2009). Memory. Taylor & Francis Ltd. (fordította: Racs-mány M. 2010, Akadémiai Kiadó. Magyar cím: Emlékezet)
  • Holmqvist, Kenneth; Nyström, Marcus; Andersson, Richard; Dewhurst, Richard; Jarodzka, Halszka; van de Weijer, Joost (2011) Eye tracking. Oxford University Press.

General Rules

Evaluation of the learning outcomes formulated in point 2.2 on an exam (programming), based on project tasks.

Performance assessment methods

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

  • 1st project work: preparation of research plan: 33%
  • 2nd project work: preparation of research paper on an empirical work: 34%
  • total: 67%

Percentage of exam elements within the rating

  • Exam: 33%

Issuing grades

%
Excellent > 95-100
Very good >, = 90
Good >, = 80
Satisfactory >, = 70
Pass >, = 60
Fail

Retake and late completion

We use the regulations in accordance with the TVSZ. The exam can be replaced during the exam period.

Coursework required for the completion of the subject

Nature of work Number of sessions per term
70
70
60
10
210

Approval and validity of subject requirements

-

Topics covered during the term

To achieve the learning outcomes set out in section 2.2, the course consists of the following thematic blocks. In the descriptions of the courses announced in each semester, these topics are scheduled according to the calendar and other features.

Lecture topics
1. Programming
2. Language
3. Memory
4. Electrophysiology
5. Eye movement tracking
6. Project task (empirical work)

Additional lecturers

Name Position Contact details
Dr. Babarczy Anna
Dr. Lukács Ágnes
Dr. Pajkossy Péter
Dr. Zimmer Márta

Approval and validity of subject requirements

The subject data sheet I. and II. beyond Part III. shall be approved by the head of the Department of Cognitive Science indicated in point 1.8 in consultation with the specialist (s) of the relevant field (s).