Page 191 - Postgraduate Catalog 2026-27
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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



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