The academic content of the Bachelor of Science in Artificial Intelligence Engineering is designed to provide students with deep technical knowledge and practical skills. The curriculum is based on computer science, mathematical foundations and applications of artificial intelligence. This curriculum aims to provide students with a comprehensive education in understanding, designing and developing artificial intelligence systems.
1. Basic Sciences and Mathematics: The program provides students with a strong mathematical and scientific foundation. This includes courses such as calculus, advanced mathematics, statistics and probability, and linear algebra. These courses develop the analytical thinking ability necessary to understand AI theories and algorithms.
2. Programming and Software Development: Students acquire basic skills in software development through courses such as programming fundamentals, data structures and algorithms, object-oriented programming. The focus is on languages such as Python and Java because these languages are widely used in artificial intelligence and machine learning projects.
3. Artificial Intelligence and Machine Learning: In this area, students are taught basic artificial intelligence methods such as machine learning, deep learning, reinforcement learning. Students learn the mathematical models of algorithms while practicing how to apply these models.
4. Areas of Specialization: Students are offered the opportunity to specialize in specific areas of artificial intelligence applications such as natural language processing, computer vision, robotics. In these courses, students develop hands-on projects using specialized software tools and libraries.
5. Ethical and Social Issues: Topics such as the ethical dimensions of artificial intelligence, social impacts and legal regulations are also an important part of the program. Students are made aware of how to use technology responsibly.
6. Project-Based Learning and Laboratory Studies: Students have the chance to put their theoretical knowledge into practice through various project-based courses and laboratory studies throughout the semester. These courses give students the opportunity to analyze and solve real-world problems.
This curriculum structure provides students with a solid theoretical knowledge and practical skills necessary to pursue a career in artificial intelligence. Upon graduation, students will be able to generate new solutions using AI technologies and apply these technologies in an ethical framework.