COSC 410A/LA: Applied Machine Learning (Spring 2025)

Description and Goals

This course provides a practical introduction to applied machine learning. Students engage in supervised and unsupervised machine learning algorithms, including regression, support vector machines, decision trees, nearest neighbors, clustering, and ensemble methods. Students also learn deep learning techniques, including feedforward, convolutional, and recurrent neural networks. Emphasis is placed on understanding and gaining hands-on experience with machine learning for practical use.

Organization

This website is for Section A and Lab Section A.

Important links

• Class Discord
• Syllabus
• Schedule
• Moodle
• Gradescope
• Textbook

Meeting Times

Section	Instructor	Room	Time
410A	Forrest Davis	212 Bernstein Center	TR 8:30 AM - 9:45 AM
426LA	Forrest Davis	114 Bernstein Center	W 9:20 AM - 11:10 AM

Office hours

• Hours:
  • Tuesdays: 3:30-5:30PM
  • Thursdays: 1:30-2:30PM
• Location: 322 Bernstein

TA Details

• TA: Nayda Farnsworth
• Hours: Tuesdays 7:30-9:30PM
• Location: 114 Bernstein (same as lab)