Moonseong (Bronson) Jeong has served as a teaching assistant in UCLA Computer Science since September 2023. His teaching spans introductory computer science, foundational machine learning, and the application of computational and statistical methods to human genetics.
CS31: Introduction to Computer Science I
Undergraduate course · UCLA Computer Science · October 2025
An introduction to computer science through theory, applications, and programming. The course covers basic data types, operators and control structures, input/output, procedural and data abstraction, functions, recursion, arrays, strings, pointers, abstract data types, and object-oriented software development.
M146: Introduction to Machine Learning
Undergraduate course · UCLA Computer Science · January 2025
An introduction to the breadth of machine learning and data science, including foundations for modeling data sources and applying computational tools to data analysis. Topics include statistical foundations, regression, classification, kernel methods, clustering, expectation maximization, principal component analysis, decision theory, reinforcement learning, and deep learning. The course is cross-listed with Electrical and Computer Engineering M146.
M146: Introduction to Machine Learning
Undergraduate course · UCLA Computer Science · January 2024
An introduction to the breadth of machine learning and data science, including foundations for modeling data sources and applying computational tools to data analysis. Topics include statistical foundations, regression, classification, kernel methods, clustering, expectation maximization, principal component analysis, decision theory, reinforcement learning, and deep learning. The course is cross-listed with Electrical and Computer Engineering M146.
CM124/224: Machine Learning Applications in Genetics
Undergraduate and graduate course · UCLA Computer Science · October 2023
An interdisciplinary introduction to the computational analysis of genetic variation. The course covers genetic foundations, identification of genes involved in disease, human population history, technologies for obtaining genetic information, and genetic sequencing, with an emphasis on formulating biological questions as statistical and computational problems. CM124 is cross-listed with Human Genetics CM124 and concurrently scheduled with the graduate-level CM224 course.