Introduction to Data Analysis and Machine Learning for Humanities and Social Sciences

Undergraduate

Humanities and social sciences majors find it hard to learn contemporary machine learning and data Ssience techniques because existing courses require linear algebra, multivariate calculus, and extensive coding experiences. This course teaches a practical introduction to data analysis and machine learning for humanities and social sciences students without college-level math or extensive programming experiences. Prerequisites: Programming experience with Python; CPSC 110, CPSC 200, or similar. Basic knowledge of social science research methods or humanities analysis is helpful. Students who satisfy the math and computer science requirements for CPSC 381 should take that course instead. Students who have taken CPSC 381 are not eligible to enroll in this course. QR 0 Course cr TTh 1:05pm-2:20pm