Course Information


CSC 4510: Machine Learning

Credits: 3 Level: crossover


Description:

The nature of intelligence and the question of its computer implementation; the nature of learning and how it might be cast as an algorithm; the design of software systems that adapt to new circumstances in their environments.

Course Outcomes:
  • Demonstrate an understanding of the basic mechanics behind how neural networks, decision tree induction, logical-concept learning, and genetic algorithms operate.

  • Adapt at least of the above algorithms to an application area of their choice.

  • Ability to discuss the practical and ethical issues behind the use of the above learning approaches.

  • Ability to read seminal machine learning papers with some dexterity.

  • Students will conduct a 20-minute presentation on a Machine Learning topic.

Prerequisites:

CSC 1052 and CSC 2300