Keaton Hamm

Previous Courses

UTA

• MATH 3330 — Introduction to Linear Algebra and Vector Spaces
• DATA 3401 — Python for Data Science I
• MATH 6310 — Foundations of Data Science

University of Arizona

• Advanced Linear Algebra for Data Science (MATH 496T/577)
  Syllabus
  Lecture Notes
  Clustering Algorithms Slides
• REU and Independent Research — Project Description
• Math 129 — Calculus II

Vanderbilt University

• Math 3620/5620 — Numerical Analysis
• Math 3100 — Introduction to Analysis
• Math 2420 — Methods of ODEs
• Math 2300 — Multivariable Calculus
• Math 1301 — Accelerated Calculus II
• Math 1300 — Accelerated Calculus I
• Math 1001 — Introduction to Probability and Statistical Reasoning II