TurkishLevel and Duration of the Program: Undergraduate, 8 Semesters.
Artificial Intelligence Engineering Department Mission
The mission of our educational endeavor is to impart to students a comprehensive education in Artificial Intelligence Engineering, undergirded by a robust foundation in mathematics and computer science, and centered on ethical principles and social responsibility. Our aim is to harness knowledge and technological innovation in the service of society by nurturing individuals who are abreast of the latest advancements in artificial intelligence, capable of devising sustainable and pioneering solutions, and able to compete on a global scale. Furthermore, by fostering critical thinking skills, we strive to equip our students with the ability to tackle complex problems using a multidisciplinary approach, develop leadership qualities, and embrace lifelong learning and professional development. Thus, we are dedicated to contributing to the cultivation of individuals who are attuned to social needs and drive the progress of knowledge and technology in the domain of artificial intelligence.
Artificial Intelligence Engineering Department Vision
Our vision is to assume a preeminent position in the domain of Artificial Intelligence Engineering and to spearhead the technological evolution of the future by broadening the horizons of the discipline. By adopting a sustainable and socially responsible approach, we aim to engage on an international scale to advance and implement artificial intelligence technologies, and to expand knowledge in this field. Our goal is to provide world-class education to our students and to support their participation in groundbreaking research, development of innovative projects, and solving real-world problems through establishment of industry and academic partnerships. Consequently, we aspire to nurture individuals who are capable of conducting pioneering research in Artificial Intelligence Engineering, engaging globally, demonstrating social responsibility and exhibiting leadership qualities.
Program Purpose: The primary objective of this program is to explore the operation of artificial intelligence applications that are interconnected through deep learning algorithms and robotic coding, which facilitate the fusion of human intellect and mechanical prowess. The program aspires to effectuate advancements in this domain by devising instantaneous resolutions that simplify human existence. Additionally, it seeks to foster the academic and professional growth of students by concentrating on the following objectives:
1. Gaining Basic Knowledge and Skills: To endow students with a comprehensive understanding of diverse subjects, including computer science and mathematics, and to equip them with the necessary engineering skills in these core areas.
2. Delivering High-Quality Education: Undertaking the provision of exceptional education in accordance with globally recognized standards, while simultaneously imparting students with robust theoretical and practical knowledge in the domain of Artificial Intelligence Engineering.
3. Expertise in Deep Learning and Robotics: To provide students with deep expertise in deep learning algorithms and robotic coding.
4. Monitoring Current Technological Developments: To guarantee that students closely adhere to the latest technological advancements in the field of artificial intelligence and deep learning, it is essential to emphasize the need for their attention and focus in this area.
5. Human-Machine Collaboration Skills: To provide students with the skills to manage and optimize the interaction of human intelligence and machine power.
6. Development of Problem Solving Skills: To foster the abilities of students in devising solutions to intricate dilemmas pertaining to artificial intelligence.
7. Real-World Applications: To increase their ability to apply Artificial Intelligence Engineering principles to real-world problems.
8. Social Responsibility and Ethical Awareness: To impart upon students the understanding of assessing the societal ramifications of artificial intelligence technologies while simultaneously adhering to ethical guidelines in the development of related solutions.
9. Ability to Produce Instant Solutions: To provide students with the ability to produce fast and effective artificial intelligence-based solutions.
10. Communication and Collaboration Skills: To enhance the capabilities of students in articulating themselves and working together on artificial intelligence initiatives.
Program Outcomes:
1. Technical Competence: Possession of adequate mathematical, scientific, and artificial intelligence engineering-related knowledge; proficiency in applying theoretical and practical expertise to intricate engineering challenges.
2. Basic Knowledge and Understanding: Grasping the fundamental principles and concepts in the field of artificial intelligence is essential. A solid foundation in basic artificial intelligence techniques, including deep learning, machine learning, and natural language processing, is crucial.
3. Programming Capabilities: Proficiency in widely-used programming languages, such as Python, Java, and C++, as well as the capability to create artificial intelligence applications.
4. Data Science and Analytical Capabilities: Possessing an understanding of data mining and analysis, one acquires the capability to handle and analyze extensive datasets.
5. Deep Learning and Artificial Neural Networks: Proficiency in comprehending and applying advanced deep learning algorithms. Expertise and proficiency in artificial neural networks and convolutional neural networks.
6. Robotics and Automation Knowledge: Proficiency in comprehending and programming robotic systems, familiarity with the applications of automation and robotics.
7. Project Management & Collaboration: Proficiency in the planning, execution, and administration of artificial intelligence initiatives, coupled with strong communication and cooperative abilities within the team.
8. Ethical and Social Responsibility Awareness: The capacity to assess the ethical and social responsibility aspects of artificial intelligence applications, while simultaneously being cognizant of the potential impacts on society that may arise from technological advancements.
9. Problem Solving and Critical Thinking: The capacity to analyze and resolve intricate artificial intelligence challenges by examining and implementing diverse solutions, demonstrates a critical mindset.
Program Employment Areas: Graduates of our university's Artificial Intelligence Engineering program are qualified to work in either academic or private sector research laboratories. They may be employed as business analysts, system and software specialists, or sourcing and data warehouse and algorithm specialists in public and private sectors that utilize artificial intelligence in business intelligence applications, such as health, finance, industry, communications, e-commerce, and voice/text/image processing. Additionally, graduates may find employment opportunities as engineers in companies that utilize space technologies or produce autonomous vehicles and wearable technologies.
1. Machine Learning Specialist: Expertise in developing algorithms, model training, and making predictions.
2. Data Scientist: Professionals who extract meaningful information by analyzing large data sets.
3. Natural Language Processing Specialist: Experts working in language comprehension, text mining, and language processing.
4. Robotics Engineer: Engineers who carry out the integration of artificial intelligence and robotic systems.
5. Autonomous Vehicle Engineer: Experts who provide control and management of autonomous vehicles using artificial intelligence.
6. Image Processing Specialist: Professionals working in computer vision and image analysis.
7. Artificial Intelligence Consultant: Experts who advise companies and institutions on artificial intelligence strategies.
8. Financial Artificial Intelligence Specialist: Professionals in the financial sector, specializing in fields such as risk assessment, trading tactics, and client relations.
9. Health Information Technology Specialist: Experts working in the healthcare industry on issues such as disease diagnosis, treatment planning and patient follow-up using artificial intelligence.
10. Artificial Intelligence Educator: Academics and trainers who provide training on artificial intelligence and machine learning.
11. Software Developer: Software engineers who develop artificial intelligence applications.
12. E-Commerce Artificial Intelligence Specialist: Professionals specializing in areas such as recommendation systems, customer service, and personalized shopping experiences on e-commerce platforms.
13. Security and Threat Analyst: Professionals who monitor and prevent cybersecurity threats using artificial intelligence.
14. Voice Recognition Engineer: Experts working on voice and speech technologies.
15. Telecommunications Artificial Intelligence Specialist: Professionals engaged in the telecommunications sector and focusing on areas such as network optimization, customer service, and capacity planning.
Courses Process: The Artificial Intelligence Engineering Program, which utilizes an internet-based Learning Management System (LMS) for course delivery, affords students the opportunity to pursue their studies through distance education. By utilizing this model, students are able to attend classes online and complete the program.
Distance learning, as implemented in the Artificial Intelligence Engineering department, utilizes various online platforms and digital tools in contrast to traditional classroom-based education. Students are provided with a range of online resources, including digital and conventional textbooks, videos, and interactive simulations. These resources are accessible to students, enabling them to engage with lecture materials at their convenience. Interaction with lecturers occurs either through live video conferences or recorded lecture videos. Additionally, online discussion forums are established among students, facilitating in-depth discussions and peer support.
Department of the Artificial Intelligence Engineering in distance learning offers practical experiences through online laboratory simulations or virtual environments. These experiences aim to develop students' practical skills through specific projects and tasks. Student performance is assessed through online exams and assignments, and is monitored through automated testing systems and online assignment platforms. To develop collaboration and problem-solving skills, students are given individual and group projects, and meet and discuss their projects using online meeting tools. Regular feedback is provided, and student performance is evaluated and supported. The following list provides an idea of the courses that may be offered in the department.
1. Artificial Intelligence Fundamentals: Basic concepts, history of artificial intelligence, basic algorithms.
2. Machine Learning: Supervised and unsupervised learning, regression, classification, clustering.
3. Linear Algebra and Applications: The role of linear algebra in artificial intelligence applications.
4. Mathematics: Basic mathematics topics, algebra, trigonometry, functions, differential equations, integral calculus, multivariate calculus.
5. Probability and Statistics: Probability theory, statistical methods, data analysis.
6. Introduction to Data Science: Data mining, data analysis, big data technologies.
7. Computer Programming: Artificial intelligence programming in languages such as Python, Java, C++.
8. Machine Learning: Deep learning, artificial neural networks, convolutional neural networks.
9. Data Structures: Data structures used in artificial intelligence applications.
10. Computer Vision: Computer vision, object recognition, image classification.
11. Algorithm Analysis: Analysis and evaluation of artificial intelligence algorithms.
12. Deep Learning Applications: Industrial and practical applications of deep learning techniques.
13. Database Systems: Database management systems used in artificial intelligence applications.
14. Introduction to Robotics: Robot systems controlled by artificial intelligence.
15. Natural Language Processing: Language comprehension, text mining, speech recognition.
16. Social Networks and Artificial Intelligence: Social network analysis powered by artificial intelligence.
17. Artificial Intelligence and Finance: Financial analysis, risk assessment, portfolio management with artificial intelligence.
Bölüm Müfredati / Department Curriculum