ECT_MCHLRN - Machine Learning - Experiential Certificate

Credits 1 and 2: Academic Courses

Engineering Path

ENGR 306. Introduction to Machine Learning
CPSC 360. Deep Learning
ENGR 301L. Signal Processing & Applications
Or other course approved by a certificate faculty adviser

Computer Science Path

ENGR 306. Introduction to Machine Learning
CPSC 360. Deep Learning
CPSC 372. Database Fundamentals
CPSC 375. High-Performance Computing
CPSC 415. Special Topics: Data Visualization
Or other course approved by a certificate faculty adviser

Credit 3: Co-curricular Experience

A co-curricular activity that applies machine or deep learning to detect and classify events from data measurements, such as an internship, summer fellowship, paid or unpaid research project with a faculty member, or other experience approved by a certificate faculty adviser

For more information, contact certificate faculty advisers Professor Chandranil Chakraborttii or Professor Taikang Ning.