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Program Educational Objectives (PEOs) intelligen systems. Elective Courses 12 Credit Hours
3. an ability to communicate proficiently to present,
The Program Educational Objectives (PEOs) are to produce defend, and critique complex ideas and findings in Course
graduates who will: Code Course Title Credit Hours Prerequisite(s)
intelligent systems engineering through scholarly writing,
• Demonstrate expertise as engineering scholars by professional presentations, and industry collaborations. DEN790 Advanced Deep Learning Applications 3 Graduate Standing
achieving significant technical, research, and leadership 4. an ability to recognize and navigate complex
accomplishments that contribute to advancing knowledge in ethical, social, and professional responsibilities in DEN775 Advanced Intelligent Robots 3 Graduate Standing
their field.
intelligent systems research and ap-plications, making DEN733 Advanced Edge AI 3 Graduate Standing
• Participate in lifelong scholarly pursuits, including advanced informed judgments that consider global, economic,
research, interdisciplinary collaboration, and the dissemination environmental, and societal impacts of AI and DEN723 Advanced Intelligent Software Development 3 Graduate Standing
of knowledge through professional and academic channels. automation. DEN721 Advanced Intelligent Vision Systems 3 Graduate Standing
• Contribute to the development of local and global 5. an ability to contribute effectively in multidisciplinary DEN735 Special Topics in Intelligent Systems 3 Graduate Standing
communities, upholding the highest standards of ethical, environments, demonstrating autonomy, leadership, and
social, and professional responsibility in research and the ca-pacity to foster team collaboration in intelligent
innovation. systems research and development.
Program Learning Outcomes (PLOs) 6. an ability to develop and implement computational PhD Research Dissertation 30 Credit Hours
models, design and conduct rigorous experimentation, Course
The learning outcomes of the program (PLOs) are: Course Title Credit Hours Prerequisite(s)
analyze and interpret in-complete or ambiguous data, Code
1. •an ability to apply advanced research, critical analysis, and apply advanced machine learning and artificial
and innovative thinking to solve highly complex problems intelligence techniques to derive in-novative and 9 credits (DEN701, DEN702,
in intelligent systems engineering using specialized and practical solutions. DEN799 PhD Research Dissertation 30 DEN703) DEN795 Presentation
interdisciplinary knowledge in artificial intelligence, 7. an ability to self-assess, acquire, and integrate new (RPE) Comprehensive Exam
automation, and data-driven decision-making.
advanced knowledge in intelligent systems engineer-
2. an ability to design and execute independent, original ing, demonstrating critical awareness of contemporary Online Delivery
research that integrates knowledge from various fields, issues, emerging challenges, and recent advancements
employing highly advanced cognitive, computational, in AI, deep learning, robotics, and smart technologies. The program will be delivered 80% face-to-face and 20% online. Courses that are delivered online are shown in below
and algorithmic skills to advance the state-of-the-art in table:
Curriculum Course Course Title Credit Hours Prerequisite(s)
Code
Program Component Courses Credit Hours DEN701 Advanced Probability and Stochastic Processes 3 Graduate Standing
Core Courses 4 12 DEN702 Advanced Research Communication 3 Graduate Standing
Elective Courses 4 12 DEN703 Advanced Analysis and Computing 3 Graduate Standing
Research Dissertation 1 30
Total 9 54
Core Courses 12 Credit Hours
Course Course Title Credit Hours Prerequisite(s)
Code
DEN701 Advanced Probability and Stochastic Processes 3 Graduate Standing
DEN702 Advanced Research Communication 3 Graduate Standing
DEN703 Advanced Analysis and Computing 3 Graduate Standing
DEN795 Doctoral Seminar 3 DEN702
Abu Dhabi University | Postgraduate Catalog 2026 - 2027 Abu Dhabi University | Postgraduate Catalog 2026 - 2027

