PSI312 Selected topics in Cognitive Psychology IIIstanbul Okan UniversityDegree Programs Automotive Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Automotive 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: Spring
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: University Elective
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) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12) Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12) Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing.

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