PSI312 Selected topics in Cognitive Psychology IIIstanbul Okan UniversityDegree Programs Food Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Food Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: PSI312
Course Name: Selected topics in Cognitive Psychology II
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 6
Language of instruction:
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. SERAP ERDOĞAN TAYCAN
Course Lecturer(s): Dr. BİLİNMİYOR BEKLER
Course Assistants:

Course Objective and Content

Course Objectives: It is aimed to cover the topics that are mentioned in the Cognitive Psychology course in general, but that need to be dealt with in more detail both in terms of importance in the field and in order for students to achieve the necessary gains.
Course Content: Memory, attention and memory relationship, planning, decision making, theory of mind, information processing in depression, cognitive difficulties in ADHD will be discussed for two weeks.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) At the end of this course, the students will be able to identify the major questions in cognition through the theories developed in the area of research.
2) At the end of this course, the students will be able to explain the cognitive processes like the model of information processing, the structure and process of information processing, and attention.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) At the end of this course, the students will be able to discuss the related theories in the area of cognition.
2) At the end of this course, the students will be able to identify the fundamental structures and processes within the brain.
3) At the end of this course, the students will be able to describe the types and the contents of memory
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Introduction of the topics to be covered during the term
2) Perception It will be given to students before the lesson
3) Perception It will be given to students before the lesson
4) Information processing processes It will be given to students before the lesson
5) midterm exam review of past work
6) Information processing It will be given to students before the lesson
7) Attention, attention processes It will be given to students before the lesson
8) Visual processing, object recognition and agnosia It will be given to students before the lesson
9) Short term memory It will be given to students before the lesson
10) Episodic long term memory It will be given to students before the lesson
11) Semantic long term memory It will be given to students before the lesson
12) Memory disorders It will be given to students before the lesson
13) review of past lessons current past lecture notes in students
14) Final exam Past lessons

Sources

Course Notes / Textbooks: Bilişsel Psikoloji, E. Bruce Goldstein
Bilişsel Psikoloji, Zihin ve Beyin, Edward E. Smith, Stephen M. Kossyln
Cognitive Psychology, Robert J. Sternberg, Karin Stenberg
Principles of Neural Science, Eric R. Kandel
References: Bilişsel Psikoloji, E. Bruce Goldstein
Bilişsel Psikoloji, Zihin ve Beyin, Edward E. Smith, Stephen M. Kossyln
Cognitive Psychology, Robert J. Sternberg, Karin Stenberg
Principles of Neural Science, Eric R. Kandel

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

5

Program Outcomes
1) Has sufficient background in mathematics, science and engineering related fields.
2) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
3) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
4) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
5) Selects and uses the modern techniques and tools necessary for engineering applications.
6) Design experiments, conduct experiments, collect data, analyze and interpret results.
7) Works individually and in multi-disciplinary teams.
8) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
9) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
10) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
11) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
12) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
13) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
14) Selects and uses the modern techniques and tools necessary for engineering applications.
15) Works individually and in multi-disciplinary teams
16) Uses information and communication technologies together with computer software required by the field at least Advanced Level of European Computer Skills License.
17) Communicate effectively verbally and in writing; use a foreign language at least at level B1 of the European Language Portfolio.
18) Communicates using technical drawing.
19) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
20) Becomes aware of the universal and social effects of engineering solutions and applications; entrepreneurship and innovation and have knowledge about the problems of the age.
21) Has professional and ethical responsibility.
22) Have awareness of project management, workplace practices, employee health, environmental and occupational safety; the legal consequences of engineering applications.
23) Demonstrates awareness of the universal and social impact of engineering solutions and applications; is aware of entrepreneurship and innovation and has knowledge about the problems of the age.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Has sufficient background in mathematics, science and engineering related fields.
2) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
3) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
4) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
5) Selects and uses the modern techniques and tools necessary for engineering applications.
6) Design experiments, conduct experiments, collect data, analyze and interpret results.
7) Works individually and in multi-disciplinary teams.
8) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
9) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
10) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
11) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
12) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
13) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
14) Selects and uses the modern techniques and tools necessary for engineering applications.
15) Works individually and in multi-disciplinary teams
16) Uses information and communication technologies together with computer software required by the field at least Advanced Level of European Computer Skills License.
17) Communicate effectively verbally and in writing; use a foreign language at least at level B1 of the European Language Portfolio.
18) Communicates using technical drawing.
19) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
20) Becomes aware of the universal and social effects of engineering solutions and applications; entrepreneurship and innovation and have knowledge about the problems of the age.
21) Has professional and ethical responsibility.
22) Have awareness of project management, workplace practices, employee health, environmental and occupational safety; the legal consequences of engineering applications.
23) Demonstrates awareness of the universal and social impact of engineering solutions and applications; is aware of entrepreneurship and innovation and has knowledge about the problems of the age.

Learning Activity and Teaching Methods

Expression
Individual study and homework
Lesson
Reading
Homework
Project preparation
Q&A / Discussion
Case Study

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Individual Project
Presentation

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 2 % 50
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Workload
Course Hours 14 42
Study Hours Out of Class 14 42
Presentations / Seminar 14 28
Project 14 14
Homework Assignments 14 42
Midterms 1 3
Final 1 3
Total Workload 174