Course ID: MAC101 | Credits: 8 PDH | Format: PDF
Publication Source: Originally developed content from Cadistics Courseware
Course Description: Offers an applied overview of machine learning concepts tailored for engineers, including algorithm selection, supervised and unsupervised learning, and integration of ML models into control and monitoring systems.
Course ID: SIN101 | Credits: 2 PDH | Format: PDF
Publication Source: Originally developed content from Cadistics Courseware
Course Description: Analyzes the accelerating development of artificial intelligence and the theoretical threshold of the singularity, considering its implications for engineering, society, and ethical responsibility.