3 unit(s) Overview of data engineering. Human-computation architectures. Supervised approaches (neural networks). Unsupervised approaches (clustering/topic modelling). Human-in-the-loop approaches (reinforcement learning).
Three lectures, one tutorial (one hour); first term Prerequisite(s):SFWRENG 2C03 or MECHTRON 2MD3; SFWRENG 2AA4 or MECHTRON 3K04; STATS 3Y03 or IBEHS 3S03 or 4C03; registration in any Software Engineering or Mechatronics Engineering program Antirequisite(s):COMPSCI 4AL3