ECE-5494: Innovation Pathways in Artificial Intelligence and Machine Learning
Description: Convergence of digital technologies in networked devices, big data, and advanced breakthroughs in artificial intelligence (AI) and machine learning (ML). Meaning, theory, and construction of socio-technical systems. Analysis of technical aspects and opportunities of AI/ML systems in organizations. Technosystem due diligence of advanced AI/ML systems. Assessment of the viability of emerging technological solutions. Social impacts of disruptive change upon individuals, organizations, and society-at-large. Frameworks for the design and implementation of advanced AI/ML systems. Planning for the future of AI/ML. Master of Information Technology (MIT) students only.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 4
Average GPA: 3.81 (A)
Strict A Rate (No A-) : 82.70%
Average Withdrawal Rate: 0.00%
| Kendall E Giles | 2024 | 87.5% | 9.2% | 1.4% | 0.8% | 1.0% | 0.0% | 3.81 | 4 |