Level and Duration of the Program: Doctoral, 8 Semesters.
Mission
The Artificial Intelligence Engineering Doctorate Program is dedicated to imparting upon its students the most cutting-edge knowledge and skills in the field of artificial intelligence. Our mission is to cultivate individuals who possess a deep understanding of ethical values, are able to compete on a global scale, and exhibit a capacity for innovation and social responsibility. Additionally, we aim to democratize access to postgraduate education by providing opportunities for individuals from all walks of life to pursue this field. Our program seeks to nurture students' potential to become leaders in scientific research and technology development, promote interdisciplinary collaboration, and supply solutions that address the needs of industry.
Vision
The Artificial Intelligence Engineering Doctorate Program aims to equip students with comprehensive knowledge and skills by concentrating on the current state-of-the-art technologies in the field of artificial intelligence (AI). This will enable them to become future leaders in the field of AI. Our program will provide students with a strategic vision that will not only lead to academic success but also prepare them for success in industry. As a premier institution in higher education, research, and social contribution, our program will produce ethical, diverse, and innovative leaders who will deliver AI solutions on a global scale.
Program Purpose
The primary objective of the Artificial Intelligence Engineering Doctorate Program is to offer students the opportunity to acquire specialized knowledge and skills in advanced artificial intelligence. The program's principal focus is on achieving a series of goals and objectives, which can be summarized as follows:
1. In-Depth Knowledge and Expertise: To impart upon students a thorough and extensive knowledge of the most current topics, theories, and applications in the field of artificial intelligence, in order to ensure their comprehensive understanding of the subject.
2. Independent Research Capabilities: To provide students with the necessary abilities to carry out innovative and impactful scientific research, and to empower them to disseminate these findings through publications.
3. Interdisciplinary Collaboration: Enhancing their capacity for interdisciplinary integration, as artificial intelligence frequently resides at the convergence of multiple scientific domains.
4. Creating Innovative Solutions: To equip students with the ability to develop innovative artificial intelligence-based solutions for addressing intricate challenges.
5. Commitment to Ethics: To emphasize the importance of adhering to ethical values and displaying social responsibility awareness in the pursuit of studies in the field of artificial intelligence.
6. Global Competitiveness: To impart upon students the requisite knowledge, abilities, and outlook that are crucial for success on a global scale.
7. Industrial and Academic Contribution: To facilitate students' attainment of proficiency that will enable them to make meaningful contributions in both the academic and industrial sectors.
8. Continuous Improvement: To aid students in obtaining fundamental abilities that enable them to stay informed about current advancements in their disciplines and maintain a lifelong learning approach.
Program Outcomes
Graduates of the Artificial Intelligence Engineering Doctoral Program will possess a comprehensive repertoire of competencies, attained through the intensive curriculum of the program. The accomplishments of individuals who complete the program are as follows:
1. The graduates of the Artificial Intelligence Engineering Doctoral Program acquire extensive knowledge of the latest developments in their field and possess the capacity to independently initiate, execute, and conclude original research endeavors.
2. Graduates who specialize in their field acquire the ability to articulate their research topics in academic language.
3. Participants in the program are able to gain a comprehensive understanding of artificial intelligence, machine learning, and data analytics, and are able to apply these concepts with proficiency.
4. Individuals who have acquired the skill of employing diverse methods for information representation and visualization possess an elevated level of expertise in differentiating conventional systems from intelligent ones.
5. Graduates who possess the capacity to comprehend and apply legal, philosophical, and ethical principles in the realm of artificial intelligence engineering are capable of assessing the impact of technology on various sectors, such as society, science, and business.
6. Persons possessing the capability to supplement insufficient or fragmentary information with scientific techniques and synthesize knowledge from diverse fields acquire the proficiency necessary to formulate and execute research involving analytical, modeling, and experimental methodologies.
7. Graduates who possess the capability to assume leadership positions in situations that necessitate the resolution of intricate, multidisciplinary problems in the realm of artificial intelligence acquire the ability to adeptly analyze and interpret complicated circumstances.
Program Employment Areas
Graduates of the Artificial Intelligence Engineering Doctoral Program possess a substantial array of employment prospects. In several prominent sectors, such individuals can find gainful employment, including:
1. Academic Institutions and Research Centers: They are qualified to serve as lecturers and research assistants at universities, and they can also participate in research centers that engage in groundbreaking research on artificial intelligence.
2. Industrial Research and Development: The utilization of an artificial intelligence doctorate can be advantageous for assessing professionals within both technology and industrial sectors. This includes evaluating their abilities in the development of novel technologies, enhancements to existing products, and the successful execution of innovative projects.
3. Big Tech Firms: Large technology corporations often employ Doctoral graduates possessing expertise in artificial intelligence and machine learning for research, development, and application purposes.
4. Health Sector: The utilization of artificial intelligence in the healthcare sector is expanding. Graduates with doctoral degrees can contribute to the enhancement of patient care in healthcare institutions and health technology firms by improving monitoring, diagnostic, and treatment procedures.
5. Finance Sector: The financial services industry, including banks, insurance companies, and other financial institutions, requires skilled professionals in various fields, such as risk analysis, fraud detection, and portfolio management, who possess expertise in artificial intelligence.
6. Automotive and Transportation: The automotive sector requires the expertise of artificial intelligence specialists in the development of driverless vehicle technologies and intelligent transportation systems.
7. Energy Sector: Energy corporations may seek to engage the services of artificial intelligence professionals with the aim of enhancing energy efficiency and optimizing operational procedures.
8. Consulting Companies: Individuals may find employment in consultancy firms that specialize in artificial intelligence engineering and offer professional guidance to companies in diverse industries on various projects.
Courses Process
The curriculum of the program is constructed with foundational courses, electives, and thesis work. A key advantage of distance learning lies in its adaptability and accessibility, which benefits working professionals, students from remote locations, and individuals facing challenges. These courses are delivered through online platforms, providing students with an engaging learning experience. Live webinars and virtual classrooms facilitate interaction between students and faculty, and the opportunity to ask questions about course content. The availability of recorded audio-video lectures allows students to learn at their own pace and convenience, adding flexibility for students with demanding schedules.
The doctoral program provides students with the opportunity to utilize online discussion forums to engage in course-related discussions, pose questions, and interact with their peers. Additionally, online communication is employed to facilitate the individual research and thesis work that are integral to the program. Online assessment tools and exams are also utilized to assess students' performance. The Learning Management System (LSM) offers a range of topics that can be explored, including:
1. Advanced Scientific Research Techniques in Engineering: Scientific method and research design, quantitative and qualitative research methods, literature review and source evaluation techniques.
2. Publication Ethics and Academic Expression: Undertaking scientific research in accordance with ethical principles, disclosing research findings in an ethical manner, and familiarizing oneself with citation and plagiarism practices.
3. Doctorate Seminar: Academic speaking and presentation techniques, peer evaluation and openness to criticism, preparing and presenting a research proposal.
4. Scientific Preparation Courses: Python programming basics, blockchain technology and smart contracts, categorical data analysis, deep learning and generalized linear models, artificial intelligence applications, robotics and automation, heuristic and metaheuristic optimization techniques, and social network analysis.
5. Specialized Field Course: The role of the graduate student in guiding the advisor's thesis work is to impart upon them the necessary knowledge, skills, and attitudes pertaining to their thesis.
Bölüm Müfredati / Department Curriculum