COURSE INTRODUCTION AND APPLICATION INFORMATION

Course Name
Introduction to Psychology I
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
GENS 204
Fall/Spring
3
0
3
6
Prerequisites
None
Course Language
Course Type
Second Foreign Language
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives To introduce the fields of psychology to the students at a general level
Learning Outcomes The students who succeeded in this course;
  • Identifying the theoretical (e.g. cognitive, social psychology) and applied fields (e.g., health psychology) of psychology.
  • Having knowledge about main theories and approcahes of psychology (e.g, behavioral, cognitive)
  • Learning the research methods that are used in psychology.
  • Having knowledge on how to apply psychological theory and research to different fields.
  • Explaining the different bases (e.g. physiological, social) of human behavior.
  • Learning and using the scientific language used in psychology.
  • Learning the ethical rules that should be applied in psychological research.
Course Description In this course theoretical and applied fields of psychology are introduced to the students at a general level.
Related Sustainable Development Goals

 



Course Category

 Core Courses
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Discussion to Syllabus
2 Introduction to psychology Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. p. 2-29.
3 Psychological research Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. p. 30-55.
4 Neuroscience and Behavior Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. p. 56-93.
5 Neuroscience and Behavior Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. p. 56-93.
6 Sensation and Perception Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. p. 138-175.
7 States of consciousness Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. p. 138-175.
8 Midterm
9 Evaluation of Midterm/ Learning Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. P. 176-209.
10 Memory Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. p. 210-243.
11 Language and Cognition Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. p. 244-277.
12 Intelligence Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. p. 278-307.
13 Motivation and Emotion Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. p. 278-307.
14 Review of the Semester Feldman, R. S. (2011). Understanding Psychology. McGraw-Hill. p. 308-341.
15 Final
16 Review of the Semester
Course Notes/Textbooks

Book chapters that are mentioned above and power point presentations.
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
2
60
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
2
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
3
45
Field Work
Quizzes / Studio Critiques
24
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
2
15
Final Exams
1
30
    Total
153

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
 Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics.
2

To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics.
3

To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials.
4

To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning.
5

To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals.
6

To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project.
7

To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.
8

To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field.
9

To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security.
10

To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking.
11

To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language.
12

To be able to speak a second foreign language at a medium level of fluency efficiently.
13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest