Food Engineering (English)
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:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
2	2	3	7

Language of instruction:

TR-EN

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

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) Has sufficient background in mathematics, science and engineering related fields.
2) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
3) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
4) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
5) Selects and uses the modern techniques and tools necessary for engineering applications.
6) Design experiments, conduct experiments, collect data, analyze and interpret results.
7) Works individually and in multi-disciplinary teams.
8) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
9) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
10) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
11) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
12) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
13) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
14) Selects and uses the modern techniques and tools necessary for engineering applications.
15) Works individually and in multi-disciplinary teams
16) Uses information and communication technologies together with computer software required by the field at least Advanced Level of European Computer Skills License.
17) Communicate effectively verbally and in writing; use a foreign language at least at level B1 of the European Language Portfolio.
18) Communicates using technical drawing.
19) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
20) Becomes aware of the universal and social effects of engineering solutions and applications; entrepreneurship and innovation and have knowledge about the problems of the age.
21) Has professional and ethical responsibility.
22) Have awareness of project management, workplace practices, employee health, environmental and occupational safety; the legal consequences of engineering applications.
23) Demonstrates awareness of the universal and social impact of engineering solutions and applications; is aware of entrepreneurship and innovation and has knowledge about the problems of the age.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Has sufficient background in mathematics, science and engineering related fields.
2)	Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
3)	Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
4)	Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
5)	Selects and uses the modern techniques and tools necessary for engineering applications.
6)	Design experiments, conduct experiments, collect data, analyze and interpret results.
7)	Works individually and in multi-disciplinary teams.
8)	Accesses information and conducts resource research for this purpose, uses databases and other information sources.
9)	Accesses information and conducts resource research for this purpose, uses databases and other information sources.
10)	Accesses information and conducts resource research for this purpose, uses databases and other information sources.
11)	Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
12)	Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
13)	Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
14)	Selects and uses the modern techniques and tools necessary for engineering applications.
15)	Works individually and in multi-disciplinary teams
16)	Uses information and communication technologies together with computer software required by the field at least Advanced Level of European Computer Skills License.
17)	Communicate effectively verbally and in writing; use a foreign language at least at level B1 of the European Language Portfolio.
18)	Communicates using technical drawing.
19)	Accesses information and conducts resource research for this purpose, uses databases and other information sources.
20)	Becomes aware of the universal and social effects of engineering solutions and applications; entrepreneurship and innovation and have knowledge about the problems of the age.
21)	Has professional and ethical responsibility.
22)	Have awareness of project management, workplace practices, employee health, environmental and occupational safety; the legal consequences of engineering applications.
23)	Demonstrates awareness of the universal and social impact of engineering solutions and applications; is aware of entrepreneurship and innovation and has knowledge about the problems of the age.

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