Industrial Engineering (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:

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):

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) Adequate knowledge in mathematics, natural sciences, and industrial engineering; ability to apply theoretical and applied knowledge in these areas to model and solve engineering problems.
2) Ability to identify, define, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex industrial engineering system, process, device, or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political issues, depending on the nature of the design.)
4) Ability to develop, select, and use modern techniques and tools required for industrial engineering, production problems, and ergonomics applications; ability to effectively use information technologies.
5) Ability to design experiments, conduct experiments, collect data, analyze, and interpret results for the investigation of industrial engineering, production planning, and ergonomics problems.
6) Ability to work effectively both individually and in intra-disciplinary and multidisciplinary teams (particularly in collaboration with computer and mechanical engineering).
7) Ability to communicate effectively in written and oral form in both Turkish and English.
8) Recognition of the necessity of lifelong learning required by industrial engineering; ability to access, interpret, and improve information; ability to follow scientific and technological developments and continuously renew oneself.
9) Awareness of professional and ethical responsibility; competence to contribute to the advancement of the profession.
10) Knowledge of industrial engineering practices in project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge of the universal and societal impacts of industrial engineering practices on health, environment, and safety, as well as contemporary issues; 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)	Adequate knowledge in mathematics, natural sciences, and industrial engineering; ability to apply theoretical and applied knowledge in these areas to model and solve engineering problems.
2)	Ability to identify, define, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3)	Ability to design a complex industrial engineering system, process, device, or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political issues, depending on the nature of the design.)
4)	Ability to develop, select, and use modern techniques and tools required for industrial engineering, production problems, and ergonomics applications; ability to effectively use information technologies.
5)	Ability to design experiments, conduct experiments, collect data, analyze, and interpret results for the investigation of industrial engineering, production planning, and ergonomics problems.
6)	Ability to work effectively both individually and in intra-disciplinary and multidisciplinary teams (particularly in collaboration with computer and mechanical engineering).
7)	Ability to communicate effectively in written and oral form in both Turkish and English.
8)	Recognition of the necessity of lifelong learning required by industrial engineering; ability to access, interpret, and improve information; ability to follow scientific and technological developments and continuously renew oneself.
9)	Awareness of professional and ethical responsibility; competence to contribute to the advancement of the profession.
10)	Knowledge of industrial engineering practices in project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11)	Knowledge of the universal and societal impacts of industrial engineering practices on health, environment, and safety, as well as contemporary issues; 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