Genetics and Bioengineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

PSY415

Course Name:

Neuropsychological Tests I

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
2	2	3	6

Language of instruction:

TR-EN

Course Requisites:

Does the Course Require Work Experience?:

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 is to introduce the neuropsychology and its branches, the basic techniques and approaches, the neuropsychological assessment field and the stages of the neuropsychological test standardization; teaching some of the neuropsychological tests’ application and scoring; explaining the cognitive processes that neuropsychological tests measure.
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.
3) To apply and score some neuropsychological tests.
4) To know the neuropsychological profiles in various neuropsychiatric diseases.
5) To have information about how the results obtained can be used for the benefit of patients together with experts from other disciplines.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
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
16)	Final	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	5
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.

Course - Learning Outcome Relationship

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.

Learning Activity and Teaching Methods

Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Lesson
Reading
Homework
Q&A / Discussion

Assessment & Grading Methods and Criteria

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

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Application	1	% 10
Homework Assignments	2	% 15
Presentation	1	% 15
Midterms	1	% 20
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	3	9	27
Presentations / Seminar	1	20	20
Homework Assignments	2	20	40
Midterms	1	24	24
Paper Submission	1	20	20
Final	1	48	48
Total Workload			179