PSI416 Neuropsychological Tests -IIIstanbul Okan UniversityDegree Programs Geomatic EngineeringGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Geomatic Engineering
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: PSI416
Course Name: Neuropsychological Tests -II
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
2 2 3 7
Language of instruction: TR-EN
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 : Dr.Öğr.Üyesi ZEYNEP HALE AKSUNA
Course Lecturer(s): Dr. BİLİNMİYOR BEKLER
Course Assistants:

Course Objective and Content

Course Objectives: The aim of this course; is the conduct of research in 'healthy' individuals through the use of neuropsychological testing.
Course Content: The aim of this course; is the conduct of research in 'healthy' individuals through the use of neuropsychological testing.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Knows the general aspects of neuropsychology.
2) • Cognitive processes and associated brain structures measured by relevant neuropsychological tests. • Knows neuropsychological profiles in various neuropsychiatric diseases.
3) • Gain knowledge of how the results obtained can be used for the benefit of patients together with experts from other disciplines.
2 - Skills
Cognitive - Practical
1) • Knows the basic techniques and approaches of neuropsychology.
3 - Competences
Communication and Social Competence
Learning Competence
1) • Makes the application and scoring of some neuropsychological tests.
Field Specific Competence
1) • Neuropsychological assessment areas and neuropsychological test standardization stages.
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) • To inform about the definition and basic concepts of neuropsychology literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
2) • To introduce and explain the stages of standardization in neuropsychological tests literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
3) • To introduce and explain the theoretical framework and application of the Line Orientation Test literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
4) • Introducing and explaining the theoretical framework and application of the Digit Sequence Learning Test literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
5) • To introduce and explain the application form and scoring system of the Digit Sequence Learning Test literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
6) • To introduce and explain the theoretical framework and application of the Stroop Test literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
7) • To introduce and explain the Stroop Test's application form and scoring system literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
8) • To introduce and explain the theoretical framework and application of the Marking Test literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
9) • To introduce and explain the application form of the Marking Test and the scoring system literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
10) To introduce and explain the theoretical framework and application of the Raven Test literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
11) • Introducing and explaining the application form and scoring system of the Raven Test literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
12) • To introduce and explain the theoretical framework and application of the Wisconsin Card Matching Test literature review Discussion over required readings Analyzing the given readings Conducting group discussions
13) • Introduce and explain the application form and scoring system of the Wisconsin Card Sorting Test literature review Discussion over required readings Analyzing the given readings Conducting group discussions Conducting individual and group discussions
14) SEMESTER FINAL EXAM All subjects learned for 14 weeks

Sources

Course Notes / Textbooks: • Öktem Tanör, Ö. (2005). Davranışsal Nörofizyolojiye Giriş. İstanbul: Nobel Tıp Kitabevi.
• Karakaş, S. (2006). Bilnot Bataryası El Kitabı: Araştırma ve Geliştirme Çalışmaları (2. Baskı). Ankara: Eryılmaz Ofset.
• Karakaş, S., İrkeç, C., Yüksel, N. (Editörler). (2003). Beyin ve Nöropsikoloji: Temel ve Klinik Bilimler. Ankara: Çizgi Tıp Yayınevi.
References: • Öktem Tanör, Ö. (2005). Davranışsal Nörofizyolojiye Giriş. İstanbul: Nobel Tıp Kitabevi.
• Karakaş, S. (2006). Bilnot Bataryası El Kitabı: Araştırma ve Geliştirme Çalışmaları (2. Baskı). Ankara: Eryılmaz Ofset.
• Karakaş, S., İrkeç, C., Yüksel, N. (Editörler). (2003). Beyin ve Nöropsikoloji: Temel ve Klinik Bilimler. Ankara: Çizgi Tıp Yayınevi.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

5

6

2

3

4

Program Outcomes
1) Awareness of professional and ethical responsibility.
2) 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.
3) Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
4) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
5) 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 isuues, and social and political issues according to the nature of the design.)
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
8) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
9) 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.
10) 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.
11) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Awareness of professional and ethical responsibility.
2) 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.
3) Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
4) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
5) 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 isuues, and social and political issues according to the nature of the design.)
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
8) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
9) 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.
10) 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.
11) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.

Learning Activity and Teaching Methods

Expression
Individual study and homework

Assessment & Grading Methods and Criteria

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

Assessment & Grading

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

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 12 3 36
Study Hours Out of Class 14 3 42
Homework Assignments 3 12 36
Quizzes 4 20 80
Midterms 1 2 2
Final 1 3 3
Total Workload 199