SYSEN 5530

SYSEN 5530

Course information provided by the Courses of Study 2024-2025.

Digital Systems Modeling with Generative AI focuses on the integration of digital technologies in the design, simulation, and management of complex systems. The course covers key concepts such as Digital Twins, Cyber-Physical Systems (CPS), and Digital Threads, with a strong emphasis on real-time simulation, data-driven modeling, and the application of Artificial Intelligence. Students will collaboratively address complex engineering challenges, allowing them to refine their problem-solving skills, apply recent technologies, and explore the practical implications of their designs in real-world scenarios. The course includes guest lectures from industry experts, providing insights into emerging trends in smart cities, IoT, and industrial applications of Digital Twins. By the end of the course, students will have gained practical skills in building and optimizing digital systems for modern engineering challenges.

When Offered Fall, Spring.

Outcomes
  • Develop a comprehensive model and system, including its concept and functional operations
  • Explain concepts of digital twins and digital threads and their applications in modern systems engineering
  • Develop and deploy Generative Agents and AI in digital systems for real-time applications.
  • Analyze real-world case studies to understand the role of digital technologies in industries
  • Design, manage, and optimize digital threads and systems through hands-on projects. Assess the ethical and responsible use of AI in generative agents and digital systems.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits GradeNoAud

  • 20721 SYSEN 5530   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Avci, C

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits GradeNoAud

  • 20722 SYSEN 5530   LEC 002

    • TBA
    • Jan 21 - May 6, 2025
    • Avci, C

  • Instruction Mode: Distance Learning-Asynchronous