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
AIN4992 Capstone Project II Spring 0 4 2 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction:
Type of course: Must Course
Course Level: Bachelor
Mode of Delivery:
Course Coordinator : Dr. Öğr. Üyesi TUĞCAN DEMİR
Course Objectives:

Learning Outputs

The students who have succeeded in this course;

Course Content

Weekly Detailed Course Contents

Week Subject Related Preparation

Sources

Course Notes:
References:

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. 5
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. 5
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. 5
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
5) Select and use modern techniques and tools necessary for engineering applications. 5
6) Design and conduct experiments, collect data, and analyse and interpret results. 5
7) Work effectively both as an individual and as a multi-disciplinary team member. 5
8) Access information via conducting literature research, using databases and other resources 5
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. 5
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. 5
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. 5
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. 5
13) Have a sense of professional and ethical responsibility. 5
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. 5