Mechanical Engineering (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | PSY416 | ||||||||
Course Name: | Neuropsychological Tesis II | ||||||||
Course Semester: | Fall | ||||||||
Course Credits: |
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Language of instruction: | TR-EN | ||||||||
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 : | Dr.Öğr.Üyesi ZEYNEP HALE AKSUNA | ||||||||
Course Lecturer(s): | |||||||||
Course Assistants: |
Course Objectives: | The aim of this course; The aim is to introduce neuropsychological tests that reveal the relationship between cognitive/psychological processes and brain structures, to transfer them with materials, instructions, application and scoring forms, and to teach students to apply and score the relevant test. |
Course Content: | This course includes neuropsychological tests, materials, instructions, forms of administration and scoring, and applying and scoring the relevant test to students. |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Beginning of Courses/ Introduction | Lecturer's notes and related articles |
2) | Psychometrics in Neuropsychological Assessment | Lecturer's notes and related articles |
3) | Norms Selection in Neuropsychological Assessment | Lecturer's notes and related articles |
4) | Story Retrieval | Lecturer's notes and related articles |
5) | Story Retrieval | Lecturer's notes and related articles |
6) | To introduce and explain the theoretical framework and application of the Stroop Test | Lecturer's notes and related articles |
7) | Introducing and explaining the Stroop Test's administration and scoring system | Lecturer's notes and related articles |
8) | Midterm | NONE |
9) | To introduce and explain the theoretical framework and application of the Marking Test | Lecturer's notes and related articles |
10) | Introduce and explain the application form and scoring system of the Marking Test | Lecturer's notes and related articles |
11) | Introducing and explaining the theoretical framework and application of the Raven Test | Lecturer's notes and related articles |
12) | Introducing and explaining the Raven Test's administration and scoring system | Lecturer's notes and related articles |
13) | To introduce and explain the theoretical framework and application of the Wisconsin Card Matching Test. | Lecturer's notes and related articles |
14) | Introduce and explain the administration and scoring system of the Wisconsin Card Sorting Test | Lecturer's notes and related articles |
15) | Review | Lecturer's notes and related articles |
Course Notes / Textbooks: | Kolb, B. & Whishaw, I.Q. (2015). Fundamentals of Human Neuropsychology, sixth Edition. Worth Publishers |
References: | Kolb, B. & Whishaw, I.Q. (2015). Fundamentals of Human Neuropsychology, sixth Edition. Worth Publishers |
Learning Outcomes | 1 |
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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) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. | ||||||||||||
12) In order to gain depth at least one, physics knowledge based on chemistry knowledge and mathematics; advanced mathematical knowledge, including multivariable mathematical and differential equations; familiarity with statistics and linear algebra. | ||||||||||||
13) The ability to work in both thermal and mechanical systems, including the design and implementation of such systems. |
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) | The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. | |
12) | In order to gain depth at least one, physics knowledge based on chemistry knowledge and mathematics; advanced mathematical knowledge, including multivariable mathematical and differential equations; familiarity with statistics and linear algebra. | |
13) | The ability to work in both thermal and mechanical systems, including the design and implementation of such systems. |
Expression | |
Lesson |
Homework | |
Presentation |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 12 | % 10 |
Midterms | 1 | % 40 |
Final | 1 | % 50 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 4 | 56 |
Study Hours Out of Class | 14 | 3 | 42 |
Homework Assignments | 4 | 16 | 64 |
Quizzes | 3 | 9 | 27 |
Midterms | 1 | 3 | 3 |
Final | 1 | 3 | 3 |
Total Workload | 195 |