Information On The Artificial Intelligence Engineering Bachelor Degree Program

INFORMATION ON THE ARTIFICIAL INTELLIGENCE ENGINEERING BACHELOR DEGREE PROGRAM

General Information

TOBB ETÜ Artificial Intelligence Engineering Program, which was established in 2019, graduated its first students in 2023. There are 5 faculty members in the department. The department curriculum includes all software courses of Computer Engineering, as well as Statistics, Probability and Linear Algebra, which are indispensable subjects for Data Science, at the highest level. In addition to these, Operations Research, which is very important in terms of Data Analysis and Optimization, as well as Artificial Intelligence, Data Mining, and Deep Learning, are also included in the curriculum. In addition to these, we have added courses such as Finance, Psychology and Critical Thinking to our curriculum, which will include topics such as ethics and philosophy, especially foreseeing that human-machine interaction will be at much more advanced levels in the future. In addition to these compulsory courses, department students will be able to take technical elective courses on Finance and Artificial Intelligence in order to improve themselves in the application areas they want. We also plan to add elective courses on topics such as Bioinformatics and Smart Cities to our curriculum in the future.

Program Purpose

1. They work as artificial intelligence engineers in high-tech companies and institutions.
2. They do postgraduate studies in the fields of Data Science, Data Engineering and Applied Artificial Intelligence.
3. They have professional competence on a global scale.

Degree Earned

Students who successfully complete this program are eligible to receive a Bachelor of Science degree in Artificial Intelligence Engineering.

Level of Degree Earned

The Artificial Intelligence Engineering program is a program that provides education at the undergraduate level (TYYÇ Level 6).

Requirements and Rules of the Degree Earned

Graduation requirements are defined in Article 45 of the Undergraduate Education, Teaching, and Examination Regulation (https://www.mevzuat.gov.tr/mevzuat?MevzuatNo=15287&MevzuatTur=8&MevzuatTertip=5).
To graduate, students must:
a) Successfully complete 287 ECTS credits, fulfill three cooperative education (internship) obligations, and pass all required courses within the maximum period of study.
b) Achieve a minimum GPA of 2.00.
c) English proficiency is mandatory.

Registration Admission Requirements

The number of students admitted to the undergraduate program is determined by the Senate's recommendation and approved by the Board of Trustees with the approval of the Higher Education Council (YÖK).
Admission to the first year of the undergraduate program is based on the results of the nationwide university entrance examination (ÖSYM). Admission of international students is determined by Senate regulations.
Transfers from other universities (lateral and vertical transfer), exchange programs, and special admissions follow the Senate's regulations based on national higher education policies.

Recognition of Prior Learning

Students must have completed secondary (high school) education and achieved a qualifying score in the national university entrance examination.
Courses previously taken at another institution may be considered equivalent by the Department Board and Faculty Administrative Board, allowing students to transfer credits.

Examinations, Assessment and Grading

Examination and assessment methods are defined in Article 22 of the Undergraduate Education, Teaching, and Examination Regulation (https://www.mevzuat.gov.tr/mevzuat?MevzuatNo=15287&MevzuatTur=8&MevzuatTertip=5).

A final exam is mandatory for all courses except projects, laboratory courses, and courses exempted by Senate decision.
At least one midterm must be conducted for each course.
Final exams take place within the designated academic calendar period, with exam dates and locations determined by the Rectorate.

Teaching Style

The program is a full-time, in-person education program.
Most courses are conducted face-to-face in classrooms.
Only the Turkish Language (TÜR 101, 102) and Atatürk’s Principles and History of Reforms (AİT 201, 202) courses are delivered via online education.

Graduation Requirements

Graduation requirements are outlined in Article 45 of the Undergraduate Education, Teaching, and Examination Regulation (https://www.mevzuat.gov.tr/mevzuat?MevzuatNo=15287&MevzuatTur=8&MevzuatTertip=5).
To graduate, students must:
a) Successfully complete 287 ECTS credits, fulfill three cooperative education (internship) requirements, and pass all required courses within the maximum period of study.
b) Maintain a minimum GPA of 2.00.
c) Meet the English language proficiency requirement.

Occupational Profiles of Graduated-Employment Opportunities

We have not yet had enough graduates to produce a sufficient graduate statistics. However, most of our graduates have found a job within 6 months of graduation. Again, 30% of our graduates have started working at one of the institutions they received Cooperative Education from. Our graduates generally work in the Software, Data Analysis, and Information Technology sectors.

Transition to a Upper Degree

Candidates who successfully complete their undergraduate education are eligible to apply for graduate programs if they have a minimum ALES score of 65/100, a language proficiency score of 60/100, and an undergraduate GPA of at least 2.30. Higher scores in these exams are required for admission with tuition exemption or as a full scholarship student (tuition exemption + living stipend). For international students, a GRE score may be accepted in place of ALES. Detailed information about application and admission requirements for graduate programs can be found on the Graduate School of Natural and Applied Sciences webpage. (https://www.etu.edu.tr/tr/enstitu/fen-bilimleri-enstitusu/basvuru-bilgileri)

 

Program Outcomes

1

Adequate knowledge of mathematics, science, and artificial intelligence engineering and the ability to apply theoretical and applied knowledge in these areas to model and solve engineering problems.

2

Ability to identify, formulate, and design solutions to complex engineering problems and to select appropriate analysis and modeling methods to solve these problems.

3

The ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; the 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 engineering applications and the ability to use information technologies effectively.

5

Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.

6

Ability to work effectively both individually and in interdisciplinary and multidisciplinary teams

7

Ability to communicate effectively verbally and in writing in Turkish and English, ability to make effective presentations, ability to understand written reports, ability to write reports, prepare design and production reports, ability to give and receive clear and understandable instructions.cerisi.

8

Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself.

9

Acting in accordance with ethical principles, awareness of professional and ethical responsibility, knowledge of standards used in engineering practices

10

Knowledge of business practices such as project management, risk management and change management, awareness of entrepreneurship and innovation, and knowledge of sustainable development.

11

Knowledge about the universal and societal effects of engineering practices on health, environment and safety, and contemporary issues reflected in the field of engineering, and awareness of the legal consequences of engineering solutions.

 

NQF-HETR PROGRAM OUTCOMES MATRIX

PROGRAM OUTCOMES

Program : Artificial Intelligence Engineering

Related NQF-HETR Core Field: Engineering (Academic) - Bachelor Degree

1

2

3

4

5

6

7

8

9

10

11

CORE AREA QUALIFICATIONS

INFORMATION

Theoretical - Factual

Has the infrastructure in mathematics, science and engineering related to their branches.

X

                   

SKILLS

Cognitive - Applied

Uses mathematics, science and their theoretical and practical knowledge in their fields for engineering solutions.

X

X

                 

Identifies, defines, formulates and solves engineering problems, selects and applies appropriate analytical and modal techniques for this purpose.

 

X

X

               

Analyzes a system, system component or process and design it under realistic constraints to meet the required requirements; he/she implements modern design methods in this direction.

   

X

               

Selects and uses the modern techniques and tools necessary for engineering applications.

     

X

             

Designs experiments, conduct experiments, analyze and interpret data collection results.

       

X

           

COMPETENCIES

Ability to work independently and to take responsibility

Works effectively on individual and multidisciplinary teams.

         

X

         

Gains access to information and research resources for this purpose, using databases and other sources of information.

     

X

     

X

     

Learning Competence

Gains access to information and research resources for this purpose, using databases and other sources of information.

     

X

     

X

     

Is aware of the necessity of lifelong learning; monitors developments in science and technology, and constantly innovates itself.

             

X

     

Uses mathematics, science and their theoretical and applied knowledge in their fields for engineering solutions.

X

X

                 

Identifies, defines, formulates and solves engineering problems, selects and applies appropriate analytical and modal techniques for this purpose.

 

X

X

               

Analyzes a system, system component or process and designs it under realistic constraints to meet the required requirements; he/she implements modern design methods in this direction.

   

X

               

Selects and uses the modern techniques and tools necessary for engineering applications.

     

X

             

Works effectively on individual and multidisciplinary teams.

         

X

         

Communication and Social Competence

Uses computer and communication technology at least in the European Computer Use License Advanced level required by his / her field.

           

X

       

Communicates verbally and in writing, using at least one foreign language at least at European Language Portfolio B1 General Level.

           

X

       

Communicates using technical drawing.

     

X

             

Gains access to information and research resources for this purpose, using databases and other sources of information.

     

X

     

X

     

Is aware of the universal and social effects of engineering solutions and practices; ,s aware of the issues of entrepreneurship and innovation, and has knowledge of contemporary problems.

                   

X

Field Specific Competence

Has a professional and ethical responsibility.

               

X

   

Has awareness on project management, workplace practices, employee health, environmental and occupational safety; have an awareness of the legal consequences of their engineering applications.

                 

X

 

Demonstrates awareness of the universal and social implications of engineering solutions and practices; is aware of the issues of entrepreneurship and innovation and has knowledge of the problems of the times.

                   

X

 

 

Courses in the program

Program Outcomes

Code

Course Title

1

2

3

4

5

6

7

8

9

10

11

YAP 101

Introduction to Data Science

X

 

X

X

X

 

X

 

X

 

X

YAP 191

Critical Thinking

 

X

 

X

X

X

X

X

X

   

YAP 441

Artificial Intelligence

X

X

X

X

X

X

X

X

X

 

X

YAP 470

Machine Learning

X

X

X

X

X

X

X

X

X

X

X

YAP 471

Computational Finance

X

X

X

X

X

X

X

X

     

YAP 472

Financial Modeling

X

X

X

X

X

X

X

X

     

YAP 490

Research Project I

 

X

X

X

X

X

X

X

X

X

X

YAP 491

Research Project II

 

X

X

X

X

X

X

X

X

X

X

YAP 495

Innovative Artificial Intelligence Applications

 

X

X

X

X

X

X

X

X

X

X

YAP 496

Graduation Design Project

 

X

X

X

X

X

X

X

X

X

X

OEG 200

Cooperative Education I

         

X

X

   

X

 

OEG 300

Cooperative Education II

         

X

X

   

X

 

OEG 400

Cooperative Education III

         

X

X

   

X