Information On The Artificial Intelligence Engineering Bachelor Degree Program
INFORMATION ON THE ARTIFICIAL INTELLIGENCE ENGINEERING BACHELOR DEGREE PROGRAM |
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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. |
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). |
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). |
Recognition of Prior Learning |
Students must have completed secondary (high school) education and achieved a qualifying score in the national university entrance examination. |
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). |
Teaching Style |
The program is a full-time, in-person education program. |
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). |
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 |
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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 |
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Program : Artificial Intelligence Engineering |
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Related NQF-HETR Core Field: Engineering (Academic) - Bachelor Degree |
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2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
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CORE AREA QUALIFICATIONS |
INFORMATION |
Theoretical - Factual |
Has the infrastructure in mathematics, science and engineering related to their branches. |
X |
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SKILLS |
Cognitive - Applied |
Uses mathematics, science and their theoretical and practical knowledge in their fields for engineering solutions. |
X |
X |
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Identifies, defines, formulates and solves engineering problems, selects and applies appropriate analytical and modal techniques for this purpose. |
X |
X |
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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 |
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Selects and uses the modern techniques and tools necessary for engineering applications. |
X |
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Designs experiments, conduct experiments, analyze and interpret data collection results. |
X |
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COMPETENCIES |
Ability to work independently and to take responsibility |
Works effectively on individual and multidisciplinary teams. |
X |
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Gains access to information and research resources for this purpose, using databases and other sources of information. |
X |
X |
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Learning Competence |
Gains access to information and research resources for this purpose, using databases and other sources of information. |
X |
X |
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Is aware of the necessity of lifelong learning; monitors developments in science and technology, and constantly innovates itself. |
X |
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Uses mathematics, science and their theoretical and applied knowledge in their fields for engineering solutions. |
X |
X |
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Identifies, defines, formulates and solves engineering problems, selects and applies appropriate analytical and modal techniques for this purpose. |
X |
X |
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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 |
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Selects and uses the modern techniques and tools necessary for engineering applications. |
X |
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Works effectively on individual and multidisciplinary teams. |
X |
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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 |
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Communicates verbally and in writing, using at least one foreign language at least at European Language Portfolio B1 General Level. |
X |
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Communicates using technical drawing. |
X |
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Gains access to information and research resources for this purpose, using databases and other sources of information. |
X |
X |
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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 |
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Field Specific Competence |
Has a professional and ethical responsibility. |
X |
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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 |
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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 |
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Code |
Course Title |
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2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
YAP 101 |
Introduction to Data Science |
X |
X |
X |
X |
X |
X |
X |
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YAP 191 |
Critical Thinking |
X |
X |
X |
X |
X |
X |
X |
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YAP 441 |
Artificial Intelligence |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
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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 |
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YAP 472 |
Financial Modeling |
X |
X |
X |
X |
X |
X |
X |
X |
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YAP 490 |
Research Project I |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
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YAP 491 |
Research Project II |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
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YAP 495 |
Innovative Artificial Intelligence Applications |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
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YAP 496 |
Graduation Design Project |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
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OEG 200 |
Cooperative Education I |
X |
X |
X |
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OEG 300 |
Cooperative Education II |
X |
X |
X |
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OEG 400 |
Cooperative Education III |
X |
X |
X |