PSY416 Neuropsychological Tesis 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: PSY416
Course Name: Neuropsychological Tesis 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):
Course Assistants:

Course Objective and Content

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.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) To know the general aspects of neuropsychology.
2) To know the basic techniques and approaches of neuropsychology
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
1) To apply and score some neuropsychological tests.
Field Specific Competence
1) To know the neuropsychological profiles in various neuropsychiatric diseases.
Competence to Work Independently and Take Responsibility

Lesson Plan

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

Sources

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

Course-Program Learning Outcome Relationship

Learning Outcomes

1

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
Lesson

Assessment & Grading Methods and Criteria

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 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