Introduction to Machine Learning (IT 333)
Term: 2025-26 Academic Year Spring Semester
Schedule
Tue-Thu, 12:10 PM - 1:30 PM (1/20/2026 - 5/14/2026) Location: MAIN ACAD 103
Description
This course exposes students to the fundamental concepts of machine learning. Students will apply these concepts to build environments where machines/software can learn and adapt to complex situations and develop solutions. Some areas of application to be covered include: recommendation engines; face recognition; predicting with regression algorithms; neural networks; text analysis techniques; clustering and topic modeling; convolutional neural networks; and reinforcement learning. Prerequisite: IT-218