University of Calgary

ENSF 410 - Fundamentals of Applied Artificial Intelligence - Fall 2020

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.
This course may not be repeated for credit.

Hours

  • (3-2)

Prerequisite(s)

  • 3 units from Software Engineering for Engineers 310, 337, Computer Engineering 335 or Geomatics Engineering 333 and admission to the Digital Engineering Minor.

Antirequisite(s)

  • Credit for Software Engineering for Engineers 410 and either Software Engineering for Engineers 519.47 or 544 will not be allowed.

Sections

This course will be offered next in Fall 2021.
Powered by UNITIS. More features.