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May 16, 2025 by Kevin Lee (khlee2)
Viewing outcome relationships between
EECE 664 - Machine Learning for Engineers
and
319 - Master of Science in Artificial Intelligence Engineering
Last approved:
Fri, 16 May 2025 20:50:54 GMT
Last edit:
Fri, 16 May 2025 20:50:51 GMT
Program Code
319 - Master of Science in Artificial Intelligence Engineering
Course Code
EECE 664 - Machine Learning for Engineers
Learning Outcomes Relationships
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 4: Elevate the technical expertise of practicing engineers and computer scientists within the specialized domain of artificial intelligence. This signifies the program's relevance for professionals seeking to enhance their AI capabilities.
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 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 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: 282