- Main Page
- Information on the Institution
- General Description of the Institution
- Address of İzmir University of Economics
- Academic Authorities
- Academic Calendar
- Recognition of Prior Learning
- Recognition of Study Abroad
- List of Programs Offered
- General Admission Requirements
- General Registration Procedures
- ECTS Credit Allocation
- Grading
- Arrangements for Academic Guidance
- Internationalization
- Institutional ECTS Coordinator
- Departmental Erasmus Coordinators
- Degree Programs
- Experimental Psychology (With Thesis)
- Qualification Awarded
- Level of Qualification
- Specific Admission Requirements
- Qualification Requirements and Regulations
- Recognition of Prior Learning
- Profile of the Program
- Program Outcomes
- Course & Program Outcomes Matrix
- Occupational Profiles of Graduates
- Access to Further Studies
- Program Structure
- Course Structure Diagram with Credits
- Exam Regulations & Assessment & Grading
- Graduation Requirements
- Mode of Study
- Program Director (or Equivalent)
- Evaluation Questionnaires
- Courses
- General Information For Students
- About İzmir
- Cost of Living
- Accommodation
- Meals
- Medical Facilities
- Facilities for Special Needs Students
- Career Guidance Center
- Insurance
- Financial Support for Students
- Registrar's Office
- Learning Facilities
- International Programs
- Practical Information for Exchange Students
- Language Courses
- Internships
- Sports and Leisure Facilities
- Student Associations
- Useful Phone Numbers
- Diploma Supplement
- Erasmus Policy Statement
- National Qualifications
- Bologna Commission
Courses
This is a course aiming to teach advanced computeraided statistics in psychology and social sciences. In addition to learning about the basics of conducting psychological data analysis and hypothesis testing, students will learn about the following statistical tests: Twoway analysis of variance (ANOVA); Multivariate analysis of variance (MANOVA); Analysis of covariance; Discriminant analysis; Cluster analysis. Student task will be to learn the basic concepts behind these tests. Student will also learn how to run these tests in SPSS.
This is a course aiming to teach advanced computeraided statistics in psychology and social sciences. In addition to learning about the basics of conducting psychological data analysis and hypothesis testing, students will learn about the following statistical tests: Twoway analysis of variance (ANOVA); Multivariate analysis of variance (MANOVA); Analysis of covariance; Discriminant analysis; Cluster analysis. Student task will be to learn the basic concepts behind these tests. Student will also learn how to run these tests in SPSS.
Theories and procedures of learning will be elaborated by paying emphasize on the underlying neural plasticity of behavior. Analytical techniques and procedures to test hypotheses about behavioral phenomena will be the main approach of the course. In addition, learning will be defined as a powerful tool for an examination of complex neural systems in vertebrates. Finally, usage of this tool will be expanded to the studies of psychopharmacological preperations.
To examine basic human cognitve processes and fundemantal research methods and having kowledge about the application of these methods.
This course is concerned with principles of behavioral neurosdcience, the underlying brain mechanisms that are responsible for behavior. The main approach to the course is in the framework of the human brain and its functions.
Thesis writing, phases of thesis writing, receiving feedback.
This course consists of independently conducting a research project and acquiring the necessary skills required in the process. The student initially specifies a research problem with an advisor, makes a screening and review of the literature. By analyzing the methods used in studying the problem and considering the previous limitations, the student specifies an original research design, hypotheses and measurement tools of the study. Finally, data is collected and analyzed and a thesis including the writing of the theoretical basis, method, results and discussion of the research.
This course is concerned with an in depth investigation of the evolutionary bases of learning and cognition. The course will cover how mental mechanisms and their biological correlates have evolved to produce what we have today.
This graduate course overviews the application of structural equation modeling to various analysis problems confronted throughout the social, behavioral, and health sciences. Topics will include confirmatory factor analysis, measurement and structural models, path analysis, mediation, assessing model fit.
The course has been designed to help students to design and implement experiments, and analyze the data by using computer programs such as SuperLab, DirectRT, EPrime, and Visual Basic 6.0.
In this course, studies that are conducted in experimental social psychology are introduced to the students within different theoretical approaches and methods.
This course is aimed to introduce human sexuality in terms of anatomical structures, sexual development, sexual identity and orientation, sexually transmitted diseases, sexual disorders and conflict in relationships.
Development of cognitive behavioural approach, cognitive behavioural therapies, etiology and treatment of psychological disorders
In this course sensory, cognitive and psychological processes that underlie perception are discussed in a theoretical and applied framework.
The aim of this course is to introduce the basic concepts of health psychology which includes illness, adaptation to illness, health related quality of life, health behaviors and basic research methods that widely applied in health psychology.