Classes I took at UCLA

Computer Science

• COM SCI 111: Operating Systems Principles
• COM SCI 118: Computer Network Fundamentals
• COM SCI 131: Programming Languages
• COM SCI 144: Web Applications
• COM SCI M146: Introduction to Machine Learning
• COM SCI M152A: Introductory Digital Design Laboratory
• COM SCI 162: Natural Language Processing
• COM SCI 163: Deep Learning for Computer Vision
• COM SCI 180: Introduction to Algorithms and Complexity
• COM SCI 188 (Spring 2026): Human-AI Interaction

Electrical and Computer Engineering

• EC ENGR C147A: Neural Networks and Deep Learning

Math

• MATH 110A: Algebra (Ring Theory)
• MATH 115A: Linear Algebra (Abstract Linear Algebra)
• MATH 131A: Analysis (Real Analysis)
• MATH 170S: Probability & Statistics II (Mathematical Statistics)
• MATH 180: Graph Theory

Statistics

• STATS 100A: Introduction to Probability

Lower division

• COM SCI 31: Introduction to Computer Science I
• COM SCI 32: Introduction to Computer Science II (Data Structures and Algorithms)
• COM SCI 33: Introduction to Computer Organization
• COM SCI 35L: Software Construction
• COM SCI M51A: Logic Design of Digital Systems
• MATH 32A: Calculus of Several Variables (Differentiation)
• MATH 32B: Calculus of Several Variables (Integration)
• MATH 33A: Linear Algebra and Applications
• MATH 33B: Differential Equations
• MATH 61: Introduction to Discrete Structures
• STATS 10: Introduction to Statistical Reasoning
• STATS 20: Introduction to Statistical Programming with R
• PHYSICS 1B: Oscillations, Waves, Electric and Magnetic Fields
• PHYSICS 1C: Electrodynamics, Optics, and Special Relativity
• PHYSICS 4AL: Physics Laboratory - Mechanics

General Education and Seminars

• COM SCI 1: Freshman Computer Science Seminar
• EDUC 10: Introduction to Educational Issues and Scholarship
• HIST 3A: Introduction to History of Science: Renaissance to 1800
• SCAND 50: Introduction to Scandinavian Literature and Culture
• SCAND 60: Introduction to Nordic Cinema