Industrial 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: | Spring | ||||||||
Course Credits: |
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Language of instruction: | TR-EN | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | University / Foreign Language | ||||||||
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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3 |
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Program Outcomes | ||||||||||
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. | ||||||||||
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. | ||||||||||
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) | ||||||||||
4) Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively. | ||||||||||
5) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems. | ||||||||||
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||||||
7) Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language. | ||||||||||
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | ||||||||||
9) Awareness of professional and ethical responsibility. | ||||||||||
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | ||||||||||
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. | |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. | |
3) | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) | |
4) | Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively. | |
5) | Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems. | |
6) | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |
7) | Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language. | |
8) | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | |
9) | Awareness of professional and ethical responsibility. | |
10) | Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |
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 |