Level and Duration of the Program: Master, 4 Semesters.
Artificial Intelligence Engineering Department Mission
The Artificial Intelligence Engineering master's program is designed to provide students with a comprehensive education in the theoretical and practical aspects of artificial intelligence. The program aims to equip students with the skills necessary to develop innovative solutions in the field, as well as the ability to manage artificial intelligence applications with a focus on ethical values, sustainability, and social responsibility. Additionally, the program seeks to prepare graduates to lead change in the industry by keeping them informed of the latest trends in artificial intelligence and providing opportunities for them to contribute to groundbreaking research in the field.
Artificial IntelligenceEngineering Department Vision
The vision of the Artificial Intelligence Engineering master's program is to equip students with the skills necessary to become globally recognized experts in the field of artificial intelligence. The program seeks to establish a pioneering educational environment that will enable students to contribute to groundbreaking research and lead innovative projects on a global scale. Furthermore, the program aims to prepare its graduates for leadership roles in the industry by providing them with hands-on experience through collaborations with industry partners and international projects. Ultimately, the program aspires to cultivate a new generation of artificial intelligence leaders who will push the boundaries of the field and develop solutions that are both ethical and sustainable.
Program Purpose: The primary goal of the Artificial Intelligence Engineering master's program is to offer students a thorough education in artificial intelligence and equip them with specialized knowledge and skills in this discipline. The program seeks to accomplish the following objectives:
1. Theoretical Knowledge: To provide students with a strong theoretical foundation and support them in developing an in-depth understanding of artificial intelligence issues.
2. Practical Skills: To gain practical skills in planning, developing and implementing artificial intelligence projects.
3. Interdisciplinary Approach: To equip students with the capacity for interdisciplinary collaboration and to cultivate their ability to devise solutions in a range of practical contexts.
4. Ethical Values and Social Responsibility: To enable students to effectively manage artificial intelligence applications while simultaneously adhering to ethical principles and demonstrating a sense of social responsibility.
5. Advanced Research: To promote engagement in cutting-edge artificial intelligence research and to foster the development of original research skills among students.
6. Industry Collaboration: To facilitate the creation of solutions that cater to current industry demands, it is essential to foster partnerships with industry stakeholders, thereby providing students with opportunities to engage in such collaborations.
Program Outcomes: The primary benefits that students can attain upon finishing the Artificial Intelligence Engineering master's program are:
1. In-Depth Knowledge of Artificial Intelligence: A broad and in-depth knowledge of basic artificial intelligence topics.
2. Practical Skills: Strong practical abilities in planning, developing, and implementing AI projects.
3. Advanced Analytical Capabilities: Ability to perform analysis on large data sets and solve complex problems.
4. Interdisciplinary Work Ability: Ability to collaborate effectively with different disciplines.
5. Commitment to Ethical Values: Ability to recognize and respond to ethical considerations in the development and deployment of artificial intelligence systems.
6. Advanced Research Capability: Conducting ongoing research in the realm of artificial intelligence, while simultaneously possessing the capability for autonomous, innovative inquiry.
7. Sectoral Cooperation Opportunities: Ability to produce solutions suitable for sectoral needs through industry collaborations.
8. Innovation and Leadership: Innovative mindset and potential to lead the sector.
Program Employment Areas: Graduates of the Artificial Intelligence Engineering master's program are well-equipped to pursue a variety of employment opportunities. These individuals may be particularly drawn to careers in the following fields:
1. Industrial Applications: Implementing and optimizing artificial intelligence solutions in industrial areas such as manufacturing, energy, automation.
2. Data Science and Analytics: Extract meaningful information by analyzing large data sets and make strategic recommendations for businesses.
3. Health Sector: Developing AI-based solutions in medical image analysis, disease prediction, and healthcare.
4. Finance and Banking: Use of artificial intelligence in financial applications such as risk management, automated trading, fraud detection.
5. Game Development: Improving the gaming experience by using artificial intelligence algorithms in the game industry.
6. Autonomous Vehicles and Robotics: Work in the field of autonomous vehicles, robotic systems, and industrial automation for the automobile industry.
7. Training and Consultancy: Training initiatives in the realm of artificial intelligence, offering consultancy services, and formulating corporate training programs.
8. Academic and Scientific Research: Academic pursuit in the field of artificial intelligence at institutions of higher learning or research centers.
Courses Process: The Artificial Intelligence Engineering master's program utilizes an Information Technology-based Learning Management System (LMS) to deliver its courses. This platform enables students to engage in distance learning and attend classes virtually.
1. Course Description and Objectives: The course offers a comprehensive overview of its scope, objectives, and anticipated results, emphasizing its significance in contemporary industry practices.
2. Theoretical Foundations: Present foundational principles and theoretical explanations in the realm of artificial intelligence. By referencing contemporary academic and literary resources, the courses strive to disseminate cutting-edge information on essential AI topics.
3. Application and Project Studies: Providing students with practical opportunities to apply their theoretical knowledge in real-world scenarios through group or individual projects that offer solutions.
4. Technological Tools and Software: Instructing students in the utilization of prevalent tools and software employed in artificial intelligence applications, while simultaneously providing them with practical experience in their efficient use.
5. Case Studies: Offer students the opportunity to develop solutions for genuine problems encountered in actual situations by providing them with industry or research-based case studies.
6. Interaction and Discussion: Enhancing student interaction through class discussions and collaborative group work, while also sharing information on current advancements and articles.
7. Evaluation and Feedback: Evaluating student performance through assignments, exams, and projects, while simultaneously offering regular feedback to students.
Bölüm Müfredati / Department Curriculum