Automotive Engineering (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | PSY312 | ||||||||
Course Name: | Selected Topics İn Cognitive Psychology II | ||||||||
Course Semester: | Fall | ||||||||
Course Credits: |
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Language of instruction: | |||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Compulsory | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Prof. Dr. SERAP ERDOĞAN TAYCAN | ||||||||
Course Lecturer(s): | |||||||||
Course Assistants: |
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. |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Introduction of the topics to be covered during the term | It will be given to students before the lesson |
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 |
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 |
Learning Outcomes | 1 |
2 |
4 |
5 |
3 |
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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. |
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. |
Expression | |
Lesson | |
Q&A / Discussion |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
Homework |
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 |
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 |