ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
GEP0434 Turkish Sign Language II Fall
Spring
 3 0 3 5
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: GE-Elective
Course Level: Bachelor
Mode of Delivery: Face to face
Course Coordinator : Dr. BURCU ALARSLAN ULUDAŞ
Course Lecturer(s): Instructor HALE ERSÖZ BOZACI
Instructor AHU AKIN ŞAHİN
Course Objectives:

Learning Outputs

The students who have succeeded in this course;

Course Content

Weekly Detailed Course Contents

Week Subject Related Preparation
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Sources

Course Notes: 1-Ders eğitmeninin seviyeye göre hazırladığı özel ders notları 2. http://turkisaretdili.bahcesehir.edu.tr/ Bahçeşehir Üniversitesi tarafından İstanbul Edebiyat Derneği (İSEDER) işbirliği ile yürütülen Avrupa Birliği Hayat Boyu Öğrenme Projesi TİDBAU' nun (Türk İşaret Dili İle Bariyerleri Aşın ve Uzlaşın) erişilebilir uzaktan eğitim portalı, 2017
References: 3. Güncel Türk İşaret Dili Sözlüğü www.tidsozluk.net 4.Bahtiyar Makaroğlu , Hasan Dikyuva, ASPB, ANKARA, 2017 5.Yabancı Dil Olarak Türk İşaret Dili Öğrenci Kitabı, Bahtiyar Makaroğlu , Hasan Dikyuva, ANKARA ÜNİVERSİTESİ YAYINEVİ,2015 6.MEB Türk İşaret Dili Sözlüğü, 2015 7.MEB Türk İşaret Dili Sözlüğü 2013 8.Türk İşaret Dili, Birinci Seviye, Hasan Dikyuva-Ulrike Zeshan, İshara Press, 2008 9.İSEM İşaret Dili Sözlüğü

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project % 0
Seminar % 0
Midterms % 0
Preliminary Jury % 0
Final % 0
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 0
PERCENTAGE OF SEMESTER WORK % 0
PERCENTAGE OF FINAL WORK % 0
Total % 0

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.