PTR4068 Assistive TechnologiesBahçeşehir UniversityDegree Programs COMPUTER ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
COMPUTER ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code: PTR4068
Ders İsmi: Assistive Technologies
Ders Yarıyılı: Spring
Ders Kredileri:
Theoretical Practical Credit ECTS
2 0 2 6
Language of instruction: English
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Non-Departmental Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Hybrid
Course Coordinator : Assoc. Prof. HASAN KEREM ALPTEKİN
Course Lecturer(s):
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: This course aims to present the knowledge and decision making skills to the students on the assistive technology needs of the people with disabilities.
Course Content: This course provides the student with learning the principle concepts on assistive technology, the ways to support people with disabilities in the concept of rehabilitation engineering in house, society, school or work places to upgrade their functional and cognitive skills, including the topics below.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) Introduction to assistive technology and rehabilitation engineering
2) World Health Organization - International Classification of Functioning (WHO-ICF)
3) Decision making in assistive technology
4) Robotic therapy in physiotherapy and rehabilitation
5) Principles of biomedical engineering in assistive technology
6) Commercial assistive technology products, sensor applications and design considerations of assistive technology devices
7) Mid term
8) Robotic assisted rehabilitation systems
9) Computer accessibility tools, sensory aids, mobile devices, activity monitoring
10) Exoskeletons and robotic locomotion
11) Student studies in assistive technology
12) Stimulation of vagus nerve, innovation of new products and technology development
13) Student studies in assistive technology
14) Student studies in assistive technology

Sources

Course Notes / Textbooks: Haftalık olarak verilecektir. - Will be given weekly.
References: 1. WHO (2001) International Classification of Functioning, Disability and Health (ICF). Geneva: World Health Organization
2. Henderson, S., Skelton, H. & amp; Rosenbaum, P. (2008). Assistive Devices for Children with Functional Impairments impact on child and Caregiver Function. Developmental Medicine & Child Neurology, 50: 89–98 
3. LoPresti, E.F., Mihailidis, A. & Kirsch, N. (2004) Assistive Technology for Cognitive Rehabilitation: State of the Art. Nurophysiological Rehabilitation, 14 (1/2), 5–39
4. Assistive Technology Decision Tree by UnumProvident (1999) http://www.microsoft.com/enable/download/default.aspx#righttech.
Accsess time : 30 th may 2011.
5. Galvin, J. C., Scherer, M. J. (1996). Evaluating, Selecting, and Using Appropriate Assistive Technology. Maryland: An Aspen Publication

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları
Program Outcomes
1) Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.
6) Ability to work effectively within and multi-disciplinary teams; individual study skills.
7) Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active 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 necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 2
3) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. 3
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics. 3
6) Ability to work effectively within and multi-disciplinary teams; individual study skills. 2
7) Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active 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 necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 13 % 0
Midterms 1 % 40
Final 1 % 60
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Duration (Hours) Workload
Course Hours 13 2 26
Study Hours Out of Class 14 9 126
Midterms 1 2 2
Final 1 2 2
Total Workload 156