Fundamentals of Applied Artificial Intelligence

3 credits · Undergraduate Programs

Techniques for extracting, cleaning, and visualizing data from engineering applications. Basic numerical computation techniques underlying learning algorithms. Fundamental supervised and unsupervised learning algorithms. Emphasis will be on designing practical applications that leverage existing software libraries and frameworks to solve problems in various engineering disciplines. Prerequisite(s): 3 units from Digital Engineering 319, Computer Engineering 335 or Software Engineering 337. Antirequisite(s): Credit for Digital Engineering 410 and either Software Engineering for Engineers 519.47 or 544 will not be allowed. Also known as: (formerly Software Engineering for Engineers 410)