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Viewing outcome relationships between EECE 566 - Applied Digital Image Processing and 319 - Master of Science in Artificial Intelligence Engineering

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

Last edit: Fri, 16 May 2025 20:45:18 GMT

319 - Master of Science in Artificial Intelligence Engineering
EECE 566 - Applied Digital Image Processing
  • 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 7: Exhibit the capacity to analyze and prioritize diverse requirements and constraints to determine the essential features of advanced intelligent systems. This emphasizes the ability to make informed decisions in the design process of 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.
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