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Viewing outcome relationships between EECE 565 - Bioimaging Systems and 319 - Master of Science in Artificial Intelligence Engineering

Last approved: Fri, 16 May 2025 20:45:31 GMT

Last edit: Fri, 16 May 2025 20:45:28 GMT

319 - Master of Science in Artificial Intelligence Engineering
EECE 565 - Bioimaging Systems
  • PLO 1: Advance and apply their knowledge and analytical skills in artificial intelligence and related computational techniques to the analysis and design of advanced intelligent systems. This outcome emphasizes the ability to deepen understanding and utilize AI principles for sophisticated system development.
  • PLO 2: Acquire the preparation that enables them to maintain currency and conduct research in the evolving fields of artificial intelligence, machine learning, and related domains. This highlights the program's commitment to fostering lifelong learning and research capabilities in AI.
  • PLO 3: Ensure they can communicate their technical ideas and findings effectively through clear written, oral, and visual presentations. This underscores the importance of professional communication in the multidisciplinary AI field.
  • PLO 5: Be prepared to excel in doctoral programs within artificial intelligence, electronics, computer engineering and science, or closely related disciplines. This indicates the program's rigorous academic standards and its potential to serve as a strong foundation for further academic pursuits.
  • PLO 6: Demonstrate the ability to identify and formulate precise requirements for complex intelligent systems. This focuses on the critical skill of defining the specific needs for advanced AI systems.
  • PLO 10: Demonstrate the aptitude to apply current AI technologies and utilize modern computational tools effectively to solve complex engineering and computational problems. This emphasizes the practical application of contemporary AI tools and techniques in relevant contexts.
  • PLO 12: Function effectively as collaborative members or leaders within teams engaged in activities relevant to the field of artificial intelligence. This emphasizes the inherently collaborative nature of AI development and research.
Key: 291